Patent Grant
11000051
Not applicable.
The invention described herein relates to the field of baby formula manufacturing. Specifically, manufacturing execution systems and methods used for the monitoring and execution of baby formula manufacture. The invention further relates to the enhancement of computer system technologies and information technology to produce higher quality more efficient baby formula thereby minimizing cost.
Previously we have described novel methods, systems, software programs, and manufacturing execution systems for validation, quality and risk assessment, and monitoring of pharmaceutical manufacturing processes. See, US2005/0251278 published 10 Nov. 2005; US2006/0276923 published 7 Dec. 2006; US2006/0271227 Published 30 Nov. 2006; US2007/0021856 Published 25 Jan. 2007; and US2007/0032897 Published 8 Feb. 2007. Additionally, we endeavor to further the state of the art using software and computer programming in the field of baby formula manufacture.
Baby formula is a synthetic version of mothers' milk and belongs to a class of materials known as dairy substitutes. Dairy substitutes have been used since the early nineteenth century for products like oleomargarine and filled cheese. They are made by blending fats, proteins, and carbohydrates using the same technology and equipment used to manufacture real dairy products. Since the 1940s, advances in processing techniques such as homogenization, fluid blending, and continuous batching and filling have greatly improved the ways imitation dairy products, like formula, are made. The sales of infant formulas have also improved over the last several decades. Until the early 1990s, infant formula was sold only as a pharmaceutical product. Salespeople presented their brands to pediatricians who would then recommend the products to new mothers. In 1992, federal antitrust actions resulted in manufacturers shifting their marketing strategies toward more direct marketing techniques. Now, in addition to pharmaceutical sales, manufacturers rely heavily on direct mail campaigns and TV and print advertising to recruit new customers. In the United States alone, the infant formula industry is a $3 billion a year business with approximately another $1 billion in sales outside of the United States.
Formulas are generally available in three forms: powder, liquid concentrate, and ready-to-feed. Powder and liquid concentrate are less expensive but they require mixing/dilution prior to use. This may be a problem because they may be improperly mixed or mixed with water contaminated with bacteria. Ready-to-feed is the most expensive type but requires no mixing before use. This is an advantage because the mother can be sure the baby is getting the appropriate dose of nutrients and does not have to worry about contamination problems.
Many consumers are under the mistaken impression that the FDA closely and carefully monitors infant formula, perhaps more scrupulously than other foods, since infant-consumers are particularly vulnerable by virtue of their age and total dependence on this one product. In fact, the FDA sets forth only minimal standards regarding the production and sale of synthetic milks. The mandated nutrient requirements for formula are contained in the outdated Infant Formula Act of 1980, which was passed by the U.S. Congress in reaction to a formula-manufacturing error that flooded the market with chloride-deficient formula. Today, manufacturers are required simply to include a′ relatively short list of ingredients and to record them on the package.
Generally, quality of infant formula is ensured at three levels, which have some degree of overlap. First, in the United States, there are governmental standards, which establish the nutritional quality of infant formulas and other dairy substitutes. Specific details of these standards can be found in the Code of Federal Regulations; more information is available from the Food and Drug Administration (FDA). The FDA publishes a monograph detailing everything from the mandated nutrient list to label copy and artwork used on packaging. Second, the dairy industry sets its own industry-wide quality control standards. The industry is self-policing and has its own regulatory organization, the International Dairy Federation, which sets industry standards for manufacturing and quality control. Third, individual companies set their own standards for quality control. For example, one producer of triglycerides used in formula, has microbiologists and engineers monitor 30 different checkpoints of triglyceride production, 24 hours a day.
As can be seen from the aforementioned, the globalization of baby formula manufacturing requires a global approach to integration keeping in mind the overall objective of strong public health protection. To accomplish these needed goals there is a need to carry out the following actions. The artisan should use emerging science and data analysis to enhance validation and quality assurance programs during the baby formula manufacturing process. From the aforementioned, also apparent to one of ordinary skill in the art is the ability to provide an integrated approach to manufacturing whereby quality and manufacturing variables are monitored continuously during baby formula manufacture. By providing an integrated and user-friendly approach to validation and quality assurance, the overall benefit to the public at-large is end products containing baby formula available at lower costs. This is turn will allow more persons to benefit from innovations that occur in the manufacturing of baby formula.
Given the current deficiencies associated with baby formula manufacture and the fact that the demand from a public health standpoint is increasing, it becomes clear that providing an integrated systems approach to baby formula manufacture is desirable. Specifically, producing baby formula from a “quality by design” approach (i.e. where quality is designed into the production versus testing quality post-production) is advantageous. The present invention provides this solution.
The invention provides for manufacturing execution systems (denoted herein as manufacturing execution system or MES) and methods thereof designed for use in manufacturing baby formula. Specifically, software programs that monitor quality control and the quality process used in the manufacture, processing, and storing of baby formula. In certain embodiments, the software programs are used in a continuous manner to ensure purity and consistency of an ingredient used in baby formula manufacture.
The invention further comprises a software program that is fully integrated and automated to monitor the entire baby formula manufacturing process.
The invention further comprises integrating a manufacturing execution system into a baby formula manufacturing system whereby control of the baby formula manufacturing process is attained.
In certain embodiments, the MES is integrated into a baby formula liquid mixing system used in baby formula manufacturing.
In certain embodiments, the MES is integrated into a baby formula powder blending system used in baby formula manufacturing.
In certain embodiments, the MES is integrated into a baby formula pasteurization system used in baby formula manufacturing.
In certain embodiments, the MES is integrated into a baby formula standardization system used in baby formula manufacturing.
In certain embodiments, the MES is integrated into a baby formula sterilization system used in baby formula manufacturing.
In certain embodiments, the MES is integrated into a packaging system used in baby formula manufacturing.
In certain embodiments, the manufacturing execution system comprises a software program with a computer memory having computer readable instructions.
In certain embodiments, the manufacturing execution system continuously monitors the baby formula manufacturing process.
In certain embodiments, the manufacturing execution system semi-continuously monitors the baby formula manufacturing process.
Based on the foregoing non-limiting exemplary embodiments, the software program can be interfaced with hardware systems or software systems or devices to monitor quality assurance protocols put in place by the quality control unit.
The invention further comprises a manufacturing execution system which integrates application software and methods disclosed herein to provide a comprehensive validation and quality assurance protocol that is used by a plurality of end users whereby the data compiled from the system is analyzed and used to determine if quality assurance protocols and validation protocols are being achieved.
The invention further comprises implementing the manufacturing execution systems and software program to multiple baby formula product lines whereby simultaneous baby formula production lines are monitored using the same system.
The invention further comprises implementation of the manufacturing execution system and software program described herein into the liquid mixing, powder blending, pasteurization, homogenization, standardization, packaging, and sterilization subset of the baby formula manufacturing process whereby the data compiled by the subset processes is tracked continuously overtime and said data is used to analyze the subset processes and whereby said data is integrated and used to analyze the quality control process of the baby formula manufacturing process at-large.
The invention further comprises a manufacturing execution system, which controls the baby formula manufacturing process, increases productivity, and improves quality of baby formula over time.
I.) Definitions
II.) Software Program and Computer Product
III.) Analysis
IV.) Manufacturing execution system(s)
V.) KITS/Articles of Manufacture
VI.) Background to Baby formula Manufacturing
Unless otherwise defined, all terms of art, notations and other scientific terms or terminology used herein are intended to have the meanings commonly understood by those of skill in the art to which this invention pertains unless the context clearly indicates otherwise. In some cases, terms with commonly understood meanings are defined herein for clarity and/or for ready reference, and the inclusion of such definitions herein should not necessarily be construed to represent a substantial difference over what is generally understood in the art. Many of the techniques and procedures described or referenced herein are well understood and commonly employed using conventional methodology by those skilled in the art, such as, for example, the widely utilized current Good Manufacturing Practice guidelines.
As used herein the term “baby formula” (a.k.a. infant formula, formula) means a synthetic form of mother's milk that belongs to a class of materials known as dairy substitutes.
“interface” means the communication boundary between two or more entities, such as a piece of software, a hardware device, or a user. It generally refers to an abstraction that an entity provides of itself to the outside. This separates the methods of external communication from internal operation, and allows it to be internally modified without affecting the way outside entities interact with it, as well as provide multiple abstractions of itself. It may also provide a means of translation between entities which do not speak the same language, such as between a human and a computer. The interface between a human and a computer is called a user interface. Interfaces between hardware components are physical interfaces. Interfaces between software exist between separate software components and provide a programmatic mechanism by which these components can communicate.
“abstraction” means the separation of the logical properties of data or function from its implementation in a computer program.
“algorithm” means any sequence of operations for performing a specific task.
“algorithm analysis” means a software verification and validation (“V&V”) task to ensure that the algorithms selected are correct, appropriate, and stable, and meet all accuracy, timing, and sizing requirements.
“analog” means pertaining to data [signals] in the form of continuously variable [wave form] physical quantities; e.g., pressure, resistance, rotation, temperature, voltage.
“analog device” means a device that operates with variables represented by continuously measured quantities such as pressures, resistances, rotations, temperatures, and voltages.
“analog-to-digital converter” means input related devices, which translate an input device's [sensor] analog signals to the corresponding digital signals needed by the computer.
“analysis” means a course of reasoning showing that a certain result is a consequence of assumed premises.
“application software” means software designed to fill specific needs of a user.
“bar code” means a code representing characters by sets of parallel bars of varying thickness and separation that are read optically by transverse scanning.
“basic input/output system” means firmware that activates peripheral devices in a PC. Includes routines for the keyboard, screen, disk, parallel port and serial port, and for internal services such as time and date. It accepts requests from the device drivers in the operating system as well from application programs. It also contains autostart functions that test the system on startup and prepare the computer for operation. It loads the operating system and passes control to it.
“benchmark” means a standard against which measurements or comparisons can be made.
“block check” means the part of the error control procedure that is used for determining that a block of data is structured according to given rules.
“bootstrap” means a short computer program that is permanently resident or easily loaded into a computer and whose execution brings a larger program, such an operating system or its loader, into memory.
“boundary value” means a data value that corresponds to a minimum or maximum input, internal, or output value specified for a system or component.
“boundary value analysis” means a selection technique in which test data are chosen to lie along “boundaries” of the input domain [or output range] classes, data structures, procedure parameters, etc.
“branch analysis” means a test case identification technique that produces enough test cases such that each decision has a true and a false outcome at least once.
“calibration” means ensuring continuous adequate performance of sensing, measurement, and actuating equipment with regard to specified accuracy and precision requirements.
“certification” means technical evaluation, made as part of and in support of the accreditation process that establishes the extent to which a particular computer system or network design and implementation meet a pre-specified set of requirements.
“concept phase” means the initial phase of a software development project, in which user needs are described and evaluated through documentation.
“configurable, off-the-shelf software” means application software, sometimes general purpose, written for a variety of industries or users in a manner that permits users to modify the program to meet their individual needs.
“control flow analysis” means a software V&V task to ensure that the proposed control flow is free of problems, such as design or code elements that are unreachable or incorrect.
“controller” means hardware that controls peripheral devices such as a disk or display screen. It performs the physical data transfers between main memory and the peripheral device.
“conversational” means pertaining to a interactive system or mode of operation in which the interaction between the user and the system resembles a human dialog.
“corrective maintenance” means maintenance performed to correct faults in hardware or software.
“critical control point” means a function or an area in a manufacturing process or procedure, the failure of which, or loss of control over, may have an adverse affect on the quality of the finished product and may result in an unacceptable health risk.
“data integrity” means the degree to which a collection of data is complete, consistent, and accurate.
“data validation” means a process used to determine if data are inaccurate, incomplete, or unreasonable. The process may include format checks, completeness checks, check key tests, reasonableness checks and limit checks.
“design level” means the design decomposition of the software item; e.g., system, subsystem, program or module.
“design phase” means the period of time in the software life cycle during which the designs for architecture, software components, interfaces, and data are created, documented, and verified to satisfy requirements.
“diagnostic” means pertaining to the detection and isolation of faults or failures.
“dynamic analysis” means analysis that is performed by executing the program code.
“encapsulation” means a software development technique that consists of isolating a system function or a set of data and the operations on those data within a module and providing precise specifications for the module.
“end user” means a person, device, program, or computer system that uses an information system for the purpose of data processing in information exchange.
“error detection” means techniques used to identify errors in data transfers.
“error guessing” means the selection criterion is to pick values that seem likely to cause errors.
“error seeding” means the process of intentionally adding known faults to those already in a computer program for the purpose of monitoring the rate of detection and removal, and estimating the number of faults remaining in the program.
“failure analysis” means determining the exact nature and location of a program error in order to fix the error, to identify and fix other similar errors, and to initiate corrective action to prevent future occurrences of this type of error.
“Failure Modes and Effects Analysis” means a method of reliability analysis intended to identify failures, at the basic component level, which have significant consequences affecting the system performance in the application considered.
“FORTRAN” means an acronym for FORmula TRANslator, the first widely used high-level programming language. Intended primarily for use in solving technical problems in mathematics, engineering, and science.
“life cycle methodology” means the use of any one of several structured methods to plan, design, implement, test and operate a system from its conception to the termination of its use.
“logic analysis” means evaluates the safety-critical equations, algorithms, and control logic of the software design.
“low-level language” means the advantage of assembly language is that it provides bit-level control of the processor allowing tuning of the program for optimal speed and performance. For time critical operations, assembly language may be necessary in order to generate code which executes fast enough for the required operations.
“maintenance” means activities such as adjusting, cleaning, modifying, overhauling equipment to assure performance in accordance with requirements.
“Pascal” means a high-level programming language designed to encourage structured programming practices.
“path analysis” means analysis of a computer program to identify all possible paths through the program, to detect incomplete paths, or to discover portions of the program that are not on any path.
“quality assurance” means the planned systematic activities necessary to ensure that a component, module, or system conforms to established technical requirements.
“quality control” means the operational techniques and procedures used to achieve quality requirements.
“software engineering” means the application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software.
“software engineering environment” means the hardware, software, and firmware used to perform a software engineering effort.
“software hazard analysis” means the identification of safety-critical software, the classification and estimation of potential hazards, and identification of program path analysis to identify hazardous combinations of internal and environmental program conditions.
“software reliability” means the probability that software will not cause the failure of a system for a specified time under specified conditions.
“software review” means an evaluation of software elements to ascertain discrepancies from planned results and to recommend improvement.
“software safety change analysis” means analysis of the safety-critical design elements affected directly or indirectly by the change to show the change does not create a new hazard, does not impact on a previously resolved hazard, does not make a currently existing hazard more severe, and does not adversely affect any safety-critical software design element.
“software safety code analysis” means verification that the safety-critical portions of the design are correctly implemented in the code.
“software safety design analysis” means verification that the safety-critical portion of the software design correctly implements the safety-critical requirements and introduces no new hazards.
“software safety requirements analysis” means analysis evaluating software and interface requirements to identify errors and deficiencies that could contribute to a hazard.
“software safety test analysis” means analysis demonstrating that safety requirements have been correctly implemented and that the software functions safely within its specified environment.
“system administrator” means the person that is charged with the overall administration, and operation of a computer system. The System Administrator is normally an employee or a member of the establishment.
“system analysis” means a systematic investigation of a real or planned system to determine the functions of the system and how they relate to each other and to any other system.
“system design” means a process of defining the hardware and software architecture, components, modules, interfaces, and data for a system to satisfy specified requirements.
“top-down design” means pertaining to design methodology that starts with the highest level of abstraction and proceeds through progressively lower levels.
“validation” means establishing documented evidence which provides a high degree of assurance that a specific process will consistently produce a product meeting its predetermined specifications and quality attributes.
“validation, process” means establishing documented evidence which provides a high degree of assurance that a specific process will consistently produce a product meeting its predetermined specifications and quality characteristics.
“validation, prospective” means validation conducted prior to the distribution of either a new product, or product made under a revised manufacturing process, where the revisions may affect the product's characteristics.
“validation protocol” means a written plan stating how validation will be conducted, including test parameters, product characteristics, production equipment, and decision points on what constitutes acceptable test results.
“validation, retrospective” means validation of a process for a product already in distribution based upon accumulated production, testing and control data. Retrospective validation can also be useful to augment initial premarket prospective validation for new products or changed processes. Test data is useful only if the methods and results are adequately specific. Whenever test data are used to demonstrate conformance to specifications, it is important that the test methodology be qualified to assure that the test results are objective and accurate.
“validation, software” means. determination of the correctness of the final program or software produced from a development project with respect to the user needs and requirements. Validation is usually accomplished by verifying each stage of the software development life cycle.
“structured query language” means a language used to interrogate and process data in a relational database. Originally developed for IBM mainframes, there have been many implementations created for mini and micro computer database applications. SQL commands can be used to interactively work with a data base or can be embedded with a programming language to interface with a database.
“Batch” means a specific quantity of baby formula that is intended to have uniform character and quality, within specified limits, and is produced according to a single manufacturing order during the same cycle of manufacture.
“Component” means any ingredient intended for use in the manufacture of baby formula, including those that may not appear in such baby formula product.
“Baby formula product” means a finished dosage form, for example, tablet, capsule, solution, powder etc. that contains an active baby formula ingredient generally, but not necessarily, in association with inactive ingredients.
“Active baby formula ingredient” means any component that is an important dietary requirement for infants and is a primary ingredient in baby formula. An active baby formula ingredient includes, but is not limited to, proteins, fats, oils, vitamins, and minerals. For the avoidance of doubt, an active baby formula ingredient is not intended to be an inactive ingredient.
“Inactive ingredient” (a.k.a. excipient) means a substance used as a carrier for the active ingredients of a baby formula product. In addition, excipients can be used to aid the process by which baby formula is manufactured. The active baby formula ingredient is then dissolved or mixed with an excipient. Excipients are also sometimes used to bulk up formulations with active baby formula ingredients, to allow for convenient and accurate dosage. Examples of excipients, include but are not limited to, thickeners, binders, starches, gums, dilutents, flavors, colors, emulsifiers, and preservatives.
“In-process material” means any material fabricated, compounded, blended; or derived by chemical reaction that is produced for, and used in, the preparation of the baby formula product.
“Lot number, control number, or batch number” means any distinctive combination of letters, numbers, or symbols, or any combination thereof, from which the complete history of the manufacture, processing, packing, holding, and distribution of a batch or lot of baby formula product or active baby formula ingredient or other material can be determined.
“Quality control unit” means any person or organizational element designated by the firm to be responsible for the duties relating to quality control.
“Acceptance criteria” means the product specifications and acceptance/rejection criteria, such as acceptable quality level and unacceptable quality level, with an associated sampling plan, that are necessary for making a decision to accept or reject a lot or batch.
“manufacturing execution system” means an integrated hardware and software solution designed to measure and control activities in the production areas of baby formula manufacturing organizations to increase productivity and improve quality. For the purposes of this definition an MES relates only to baby formula manufacturing processes and systems. The use of an MES of the present invention not relating to the manufacturing, storing, or production of baby formula is specifially excluded from the definition of an MES.
“Process analytical technology” (a.k.a. PAT) means a mechanism to design, analyze, and control baby formula manufacturing processes through the measurement of critical process parameters and quality attributes.
“Pasteurization” means the process of heating liquids for the purpose of destroying bacteria, protozoa, molds, and yeasts. The process was named after its creator, French chemist and microbiologist Louis Pasteur.
“Homogenization” means a term connoting a process that makes a mixture the same throughout the entire substance (i.e. homogeneous). Note, for the purposes of this definition, when soft solids are milled in a liquid, this can be seen as a form of homogenization.
“Sterilization” means any process that effectively kills or eliminates transmissible agents (such as fungi, bacteria, viruses, prions, and spore forms, etc.) from a surface, equipment, foods, medications, baby formula, or biological culture medium. Sterilization can be achieved through application of heat, chemicals, irradiation, high pressure or filtration.
The invention provides for a software program that is programmed in a high-level or low-level programming language, preferably a relational language such as structured query language, which allows the program to interface with an already existing program or a database. Other programming languages include but are not limited to C, C++, COBOL, FORTRAN, Java, Perl, Python, Smalltalk, Dataflex, PowerBuilder, FOCUS, LINC, Oracle Reports, Quest, Ab Initio, LANSA, PL/SQL, RAMIS, S, SAS, SPSS, APE, Genexus, UNIFACE, CSS, ColdFusion, and MS visual basic.
In addition, the invention provides for a fifth-generation programming language (“5GL”) based around solving problems using constraints given to the program, rather than using an algorithm written by a computer programmer. Essentially, a 5GL of the present invention is designed to make the computer solve the problem (i.e. higher quality more efficient baby formula production). This way, a programmer only needs to worry about what problems need to be solved and what conditions need to be met, without worrying about how to implement a routine or algorithm to solve them. In one embodiment, a 5GL of the present invention uses Prolog, OPS5, or Mercury programming language.
It will be readily apparent to one of skill in the art that the preferred embodiment will be a software program that can be easily modified to conform to numerous software-engineering environments. One of ordinary skill in the art will understand and will be enabled to utilize the advantages of the invention by designing the system with top-down design. The level of abstraction necessary to achieve the desired result will be a direct function of the level of complexity of the process that is being monitored.
The invention further comprises computer software which comprises three (3) layers. It will be appreciated by one of ordinary skill in the art that the three (3) layers may overlap and may or may not be distinct layers. The invention comprises a system software layer, which helps run the computer system. The system software layer of the invention comprises, operating systems, device drivers, diagnostic tools, servers, windowing systems, and other utilities. The purpose of systems software is to insulate the applications programmer as much as possible from the details of the particular computer complex being used, especially memory and other hardware features, and such as accessory devices as communications, printers, readers, displays, keyboards, etc.
The invention comprises computer software containing a programming software layer, which provides tools to assist a programmer to use programming languages in a more convienent way. These tools include but are note limited to, text editors, compilers, interpreters, linkers, debuggers, and so forth. An Integrated development environment (IDE) merges those tools into a software bundle, and a programmer may not need to type multiple commands for compiling, interpreting, debugging, tracing, and etc., especially if the IDE has an advanced graphical user interface.
The invention comprises computer software containing an application software layer which allows end users to accomplish one or more specific (non-computer related) tasks.
In one embodiment, the invention comprises an embedded system designed to perform one or a few dedicated functions, often with real-time computing constraints. It is usually embedded as part of a complete device including hardware and mechanical parts. In a preferred embodiment, the embedded system of the invention is embedded in baby formula manufacturing hardware systems and mechanical parts.
One of ordinary skill will appreciate that to maximize results the ability to amend the algorithm needed to conform to the validation and QA standards set forth by the quality control unit on each step during baby formula manufacture will be preferred. This differential approach to programming will provide the greatest level of data analysis leading to the highest standard of data integrity.
The preferred embodiments may be implemented as a method, system, or program using standard software programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof. The term “computer product” as used herein is intended to encompass one or more computer programs and data files accessible from one or more computer-readable devices, firmware, programmable logic, memory devices (e.g. EEPROM's, ROM's, PROM's, RAM's, SRAM's, etc.) hardware, electronic devices, a readable storage diskette, CD-ROM, a file server providing access to programs via a network transmission line, wireless transmission media, signals propagating through space, radio waves, infrared signals, etc.
The invention further provides articles (e.g., computer products) comprising a machine-readable medium including machine-executable instructions, computer systems and computer implemented methods to practice the methods of the invention. Accordingly, the invention provides computers, computer systems, computer readable mediums, computer programs products and the like having recorded or stored thereon machine-executable instructions to practice the methods of the invention. As used herein, the words “recorded” and “stored” refer to a process for storing information on a computer medium. A skilled artisan can readily adopt any known methods for recording information on a computer to practice the methods of the invention.
The computer processor used to practice the methods of the invention can be a conventional general-purpose digital computer, e.g., a personal workstation computer, including conventional elements such as microprocessor and data transfer bus.
Preferably, the program will be initiated in parallel with the baby formula manufacturing process or quality assurance (“QA”) protocol. This will allow the ability to monitor the baby formula manufacturing and QA process from its inception. However, in some instances the program can be bootstrapped into an already existing program that will allow monitoring from the time of execution (i.e. bootstrapped to configurable off-the-shelf software).
For example, the critical control point for monitoring an active baby formula ingredient versus an inactive ingredient may not be equivalent. Similarly, the critical control point for monitoring an in-process material may vary from component to component and often from batch to batch.
In one embodiment, the invention provides for methods of interfacing a software program with a baby formula manufacturing system whereby the software program is integrated into the baby formula manufacturing process and control of the baby formula manufacturing process is attained. The integration can be used for routine monitoring, quality control, maintenance, hazard mitigation, validation, etc.
The invention further comprises implementing the software program to multiple devices used in baby formula manufacture to create a manufacturing execution system used to monitor and control the entire baby formula manufacturing process.
The invention further comprises implementing the manufacturing execution system into multiple baby formula product lines whereby simultaneous baby formula production lines are monitored using the same system.
The invention further comprises implementation of the manufacturing execution system and software program described herein into the subset of the baby formula manufacturing process whereby the data compiled by the liquid mixing, powder blending, pasteurization, homogenization, standardization, packaging, and sterilization subset processes is tracked continuously overtime and said data is used to analyze the subset processes and whereby said data is integrated and used to analyze the quality control process of the baby formula manufacturing process at-large.
It will also be appreciated by those skilled in the art that the various steps herein for baby formula production are not required to be all performed or exist in the same production series. Thus, while in some embodiments, all steps and/or software programs and/or manufacturing execution systems described or mentioned herein are performed or exist, in other embodiments, one or more steps are optionally, e.g., omitted, changed (in scope, order, placement, etc.) or the like. Accordingly, those of skill in the art will recognize that many modifications may be made without departing from the scope of the present invention.
The invention provides for a method of analyzing data that is compiled as a result of the manufacturing of baby formula. Further the invention provides for the analysis of data that is compiled as a result of a QA program used to monitor the manufacture of baby formula in order to maintain the highest level of data integrity. In one embodiment, the parameters of the data will be defined by the quality control unit. Generally, the quality control unit will provide endpoints that need to be achieved to conform to cGMP regulations or in some instances an internal endpoint that is more restrictive to the minimum levels that need to be achieved.
In a preferred embodiment, the invention provides for data analysis using boundary value analysis. The boundary value will be set forth by the quality control unit. Using the boundary values set forth for a particular phase of baby formula manufacture the algorithm is defined. Once the algorithm is defined, an algorithm analysis (i.e. logic analysis) takes place. One of skill in the art will appreciate that a wide variety of tools are used to confirm algorithm analysis such as an accuracy study processor.
One of ordinary skill will appreciate that different types of data will require different types of analysis. In a further embodiment, the program provides a method of analyzing block data via a block check. If the block check renders an affirmative analysis, the benchmark has been met and the analysis continues to the next component. If the block check renders a negative, the data is flagged via standard recognition files known in the art and a hazard analysis and hazard mitigation occurs.
In a further embodiment, the invention provides for data analysis using branch analysis. The test cases will be set forth by the quality control unit.
In a further embodiment, the invention provides for data analysis using control flow analysis. The control flow analysis will calibrate the design level set forth by the quality control unit, which is generated in the design phase.
In a further embodiment, the invention provides for data analysis using failure analysis. The failure analysis is initiated using the failure benchmark set forth by the quality control unit and then using standard techniques to come to error detection. The preferred technique will be top-down. For example, error guessing based on quality control group parameters, which are confirmed by error seeding.
In a further embodiment, the invention provides for data analysis using path analysis. The path analysis will be initiated after the design phase and will be used to confirm the design level. On of ordinary skill in the art will appreciate that the path analysis will be a dynamic analysis depending on the complexity of the program modification. For example, the path analysis on the output of a baby formula product will be inherently more complex that the path analysis for the validation of an in-process material. However, one of ordinary skill will understand that the analysis is the same, but the parameters set forth by the quality control unit will differ.
In a further embodiment, the invention provides for data analysis using failure modes and effects analysis. The analysis of actual or potential failure modes within a baby formula manufacturing system on a component-by-component and process by process level is analyzed for classification or determination of a failure upon the baby formula manufacturing system. Failures which cause any error or defects in a baby formula process, design, manufacture, or product are analyzed and corrective action is taken during baby formula manufacture. The corrective action of the invention comprises modifying or stopping baby formula manufacture to obviate a failure.
In a further embodiment, the invention provides for data analysis using root cause analysis. The analysis occurs by identifying a root cause of a failure or hazard with the intention of eliminating the root cause thereby reducing its frequency on future baby formula batches.
In a further embodiment, the invention provides for data analysis using hazard analysis and critical control points. The analysis occurs in a systematic preventive approach to baby formula manufacturing that addresses physical, chemical, and biological hazards of baby formula as a means of prevention rather than finished baby formula product inspection. The analysis is used in baby formula manufactre to identify hazards, so that key actions and locations within a baby formula manufacturing process, known as critical control points can be taken to reduce or eliminate the risk of the hazards being realized. The analysis is used at all stages of baby formula production including liquid mixing, powder blending, pasteurization, homogenization, standardization, packaging, and sterilization. Failures which cause any error or defects in a baby formula process, design, manufacture, or product are analyzed and corrective action is taken during baby formula manufacture. The corrective action of the invention comprises modifying or stopping baby formula manufacture to obviate a failure.
The invention provides for a top-down design to software analysis. This preferred embodiment is advantageous because the parameters of analysis will be fixed for any given process and will be set forth by the quality control unit. Thus, performing software safety code analysis then software safety design analysis, then software safety requirements analysis, and then software safety test analysis will be preferred.
The aforementioned analysis methods are used for several non-limiting embodiments, including but not limited to, validating QA software, validating baby formula manufacturing processes and systems, and validating process designs wherein the integration of the system design will allow for more efficient determination of acceptance criteria in a batch, in-process material, batch number, control number, and lot number and allow for increased access time thus achieving a more efficient cost-saving baby formula manufacturing process.
In one embodiment, the software program or computer product, as the case may be, is integrated into a manufacturing execution system that controls the baby formula manufacturing process. The tools of the manufacturing execution system of the invention focus on less variance, higher volumes, tighter control, and logistics of baby formula manufacturing. One of ordinary skill in the art will understand that a MES of the invention posseses attributes to increase traceability, productivity, and quality of a baby formula product. One of ordinary skill in the art will understand that the aforementioned attributes are achieved by monitoring such baby formula manufacturing functions including, for example, equipment tracking, product genealogy, labor and item tracking, costing, electronic signature capture, defect and resolution monitoring, executive dashboards, and other various reporting functions.
It will be understood by one of skill in the art that the software programs or computer products integrates the hardware via generally understood devices in the art (i.e. attached to the analog device via an analog to digital converter).
The software program or computer product is integrated into the manufacturing execution system on a device-by-device basis. As previously set forth, the acceptance criteria of all devices used in baby formula manufacture for the purposes of the manufacturing execution system are determined by the quality control unit. The analysis of the baby formula manufacturing occurs using any of the methods disclosed herein. (See, section III entitled “Analysis”). The program monitors and processes the data and stores the data using standard methods. The data is provided to an end user or a plurality of end users for assessing the quality of data generated by the device or devices. Furthermore, the data is stored for comparative analysis to previous batches to provide a risk-based assessment in case of failure. Using the historical analysis will provide a more streamlined baby formula manufacturing process and will monitor to ensure that product quality is maximized. Utilizing the historical record will provide baby formula manufacturers an “intelligent” perspective to manufacturing. Over time, the manufacturing execution system will teach itself and modify the baby formula manufacturing process in a way to obviate previous failures while at the same time continuously monitoring for new or potential failures. In addition, the invention comprises monitoring the data from initial process, monitoring the data at the end process, and monitoring the data from a routine maintenance schedule to ensure the system maintain data integrity and validation standards predetermined by the quality control unit.
For use in basic input/output systems, hardware calibrations, software calibrations, computer systems audits, computer system security certification, data validation, different software system analysis, quality control, and the manufacturing of baby formula products described herein, kits are within the scope of the invention. Such kits can comprise a carrier, package, or container that is compartmentalized to receive one or more containers such as boxes, shrink wrap, and the like, each of the container(s) comprising one of the separate elements to be used in the method, along with a program or insert comprising instructions for use, such as a use described herein.
The kit of the invention will typically comprise the container described above and one or more other containers associated therewith that comprise materials desirable from a commercial and user standpoint, programs listing contents and/or instructions for use, and package inserts with instructions for use.
A program can be present on or with the container. Directions and or other information can also be included on an insert(s) or program(s) which is included with or on the kit. The program can be on or associated with the container.
The terms “kit” and “article of manufacture” can be used as synonyms.
The article of manufacture typically comprises at least one container and at least one program. The containers can be formed from a variety of materials such as glass, metal or plastic.
Baby formula is a synthetic version of mothers' milk and belongs to a class of materials known as dairy substitutes. Dairy substitutes are made by blending fats, proteins, and carbohydrates using the same technology and equipment used to manufacture real dairy products. The design of infant formulas is highly complex due to the nature of the biological requirements of the developing child. The key to successful formula design is to match as closely as possible the physical and nutritional properties of breast milk. Milk is a natural emulsion, which means it is a fine dispersion of tiny droplets of fats and oils suspended in water. Milk also contains important components including proteins, sugars, minerals, salts, and trace elements. Formula is made by blending similar materials in an attempt to match the characteristics of true milk. Formula design typically falls into one of three categories: milk-based formula, animal or vegetable based formula, or non-milk based.
Milk based formulas typically start with cow milk as a base since most infants have no problem ingesting cow's milk. This type of formula is fortified with extra nutritional elements.
Animal or vegetable-based formula is produced, mainly because some infants have a sensitivity, allergy, or potential allergy to formula based entirely on cow's milk. Formula made with vegetable derived milk or a limited amount of cow's milk derived components may be more suitable for these children. Most vegetable derived formulas are soybean based. However, allergies to soybean milk also exist, so this approach does not guarantee the product will be trouble free. In general, using hydrolyzed proteins can minimize allergy concerns. They are less likely to cause allergic reactions.
Non-milk based formulas are expensive, specialty formulas for infants who have a strong sensitivity to both cow's and soy milk, or other medical or digestive conditions that are formula related.
Generally, formulas are available in three forms: powder, liquid concentrate, and ready-to-feed. Powder and liquid concentrate are less expensive but they require mixing/dilution prior to use. This may be a problem because they may be improperly mixed or mixed with water contaminated with bacteria. Ready-to-feed is the most expensive type but requires no mixing before use. This is an advantage because the mother can be sure the baby is getting the appropriate dose of nutrients and does not have to worry about contamination problems.
In general, baby formula contains the following raw material: proteins, fats, carbohydrates, diluents, minerals, vitamins, emulsifiers, and stabilizers. As described above, protein used in formulas can come from a variety of sources such animal milk or soybeans. Soymilk is made by taking soybeans, soaking them in baking soda, draining them, grinding the beans, then diluting the mixture with water and homogenizing it. The proteins, which come from soybeans, may be in the form of protein concentrates or protein isolates. The latter helps eliminate or reduce carbohydrates that can cause flatulence and abnormal stools. Other useful proteins can be derived from nuts, fish, and cottonseed oil but these have limited application in infant formulas.
Fats and oils are an important dietary requirement for infants. Therefore, formulations attempt to match the serum fatty acid profile of real breast milk. These fatty acids include eicosapentaenoic acid (EPA) which may be derived from fish oil and other sources and ARA (arachidonic acid). In actual breast milk there is a significant amount of fatty compounds known as triglycerides. For example, docosahexaenoic acid (DHA) is believed to be an important triglycerides. Triglycerides which are similar to (but not biochemically identical to) those found in breast milk can be derived from egg yolk phospholipids. Alternatively, fatty acid precursors (molecules that react to form dietary fatty acids) may be added to infant formula. These precursors (e.g., alpha and gamma linolenic acid) allow the infants' bodies to synthesize the necessary fatty acids. However, this method is not as efficient for delivering fatty acids as breast milk is.
The diluents are the carrier or bulk of the liquid of the formula. For milk-based formulations, skim milk may be used as the primary diluents. In milk free formulations, purified water is used.
In addition, a number of essential minerals are added to infant formula. These include calcium, phosphate, sodium, potassium, chloride, magnesium, sulfur, copper, zinc, iodine, and iron. Iron is one of the most important components since all babies need a source of iron in their diet. Some parents are concerned that iron-fortified formulas cause intestinal problems in infants but this is a myth. In general, parents can expect formula fed babies to experience more gastrointestinal problems than breastfed babies.
Additionally, vitamins are added to increase the nutritional value of formula. These include vitamins A, B12, C, D, and E as well as thiamine, riboflavin, niacin, pyridoxine, pantothenate, and folacin.
Finally, a variety of materials are added to ensure the formula stays homogenous and that the oil and water-soluble components do not separate. These include emulsifiers such as mono and di-glycerides as well as thickeners like natural starches and gums (e.g., such carrageenan.).
Using the aforementioned ingredients, the manufacturing of baby formula is completed using the following process (note, the process may be altered depending on the type of baby formula being manufactured). The first step in the process is mixing the ingredients. Generally, the primary ingredients are blended (powder) and mixed (liquid) in large stainless steel tanks. Skim milk is then added and adjusted to about 130° F.-150° F., preferably 140° F. (60° C.). Fats, oils and emulsifiers are then added. Additional heating and mixing may be required to yield the proper consistency set forth by the quality control unit. In addition, minerals, vitamins, and stabilizing gums may be added at various points in the process depending on their sensitivity to heat and other ingredients. Once mixing is complete, a batch is temporarily stored or transported via pipeline to pasteurization equipment.
Pasteurization is a process that protects against spoilage by eliminating bacteria, yeasts, and molds. Pasteurization involves quickly heating and cooling the baby formula product under controlled conditions which microorganisms cannot survive. Generally, a temperature of 185-201.2° F. (85-94° C.), held for about 30 seconds, is necessary to adequately reduce microorganisms and prepare the baby formula for filling. Several pasteurization methods are commercially available in the art. One common method warms the formula by sending it through a tube adjacent to heat plate heat exchanger. Thus, the formula is heated indirectly. Another method heats formula directly and then uses the heated liquid to preheat the rest of the incoming formula. The preheated formula is further heated with steam or hot water to the pasteurization temperature. After pasteurization is complete, a batch is processed further by homogenization.
Homogenization is a process, which increases emulsion uniformity and stability by reducing the size of the fat and oil particles in the baby formula. This process can be done with a variety of mixing equipment known in the art, which applies high shear to the product. This type of mixing breaks the fat and oil particles into very small droplets.
Once the baby formula has been homogenized, the next step is standardization. During the standardization step, the resulting baby formula composition is standardized to ensure key parameters, such as pH, fat concentration, and vitamin(s) and mineral(s) are correct (generally against the previously set forth quality parameters provided by the quality control unit). If any of these ingredients are at insufficient levels (i.e. outside quality parameters), the baby formula batch can be reworked to achieve the appropriate levels. The batch is then ready to be packaged.
The baby formula packaging process depends on the manufacturer and type of equipment employed, but in general, the liquid formula is filled into metal cans which have lids crimped into place and powdered baby formula is put into plastic or paper-based containers. These can be filled on conventional liquid or powder filling equipment known in the art.
Finally, the baby formula product filled packages are subsequently sterilized (i.e. heated and cooled to destroy any additional microorganisms). The finished cans are then packed in cartons and stored for shipping.
Various aspects of the invention are further described and illustrated by way of the several examples that follow, none of which is intended to limit the scope of the invention.
Dry powder blending is one of the most widely used techniques in baby formula manufacturing. One of skill in the art will appreciate that agitating a batch may not result in a homogeneous blend. Moreover, uniform blending may cause the ingredients to separate into layers. It is an object of the present invention to remedy these deficiencies.
Additionally, at first glance, liquid mixing of baby formula would seem very straightforward. One of ordinary skill in the art will appreciate the complexities associated with liquid mixing in the baby formula manufacturing process. For example, mixing dissimilar liquids such as oil and water or mixing chemicals that harden are problems encountered on a daily basis. An object of the invention is to remedy these deficiencies.
Generally speaking and for purposes of this example, manufacturers begin with raw materials such as proteins that come from a variety of sources, such as aminal milk or soybeans, fats, carbohydrates, dilutents, vitamins, minerals, and a variety of excipients. Depending on the type of baby formula being made, the raw materials are mixed in either a liquid mixing or powder blending system (
In one embodiment, the Manufacturing execution system (“MES”) is integrated into the baby formula powder blending system used in baby formula manufacture. In a further embodiment, the Manufacturing execution system (“MES”) is integrated into the baby formula liquid mixing system used in baby formula manufacture. It will be understood by one of skill in the art that the MES integrates the hardware via generally understood devices in the art (i.e. attached to the analog device via an analog to digital converter). The MES is integrated into the baby formula powder blending and/or liquid mixing system on a device-by-device basis. As previously set forth, the acceptance criteria of all devices used in the baby formula manufacture for the purposes of the baby formula powder blending and/or liquid mixing processes are determined by the quality control unit. The analysis of the software and hardware occurs using any of the methods disclosed herein. The MES monitors and processes the data and stores the data using standard methods. The data is provided to an end user or a plurality of end users for assessing the quality of data generated by the device. Furthermore, the data is stored for comparative analysis to previous batches to provide a risk-based assessment in case of failure. Using the historical analysis will provide a more streamlined baby formula liquid mixing and/or powder blending process and will monitor to ensure that the baby formula powder blending and/or liquid mixing system(s) data is integrated into subsequent baby formula manufacturing processes and systems.
In addition, the invention comprises monitoring the data from initial liquid mixing and/or powder blending processes, monitoring the data at the end liquid mixing and/or powder blending processes, and monitoring the data from a routine maintenance schedule to ensure the liquid mixing and/or powder blending system(s) maintain data integrity and validation standards predetermined by the quality control unit. (See,
In one embodiment, the monitoring and analysis of the baby formula liquid mixing and/or powder blending systems achieves a step of integration into a manufacturing execution system whereby manufacturing productivity and product quality are increased. Costs are streamlined over time.
Generally speaking and for purposes of this example, pasteurization is a process of heating liquids for the purpose of destroying bacteria, protozoa, molds, and yeasts. Pasteurization is not intended to kill all pathogenic micro-organisms in active baby forumla ingredients. Instead, pasteurization aims to reduce the number of viable pathogens so they are unlikely to cause disease (assuming, of course, that the baby formula is consumed before its expiration date). Baby formula pasteurization typically uses temperatures below boiling since at temperatures above the boiling point for milks, casein micelles, will irreversibly aggregate (or “curdle”). There are two (2) main types of pasteurisation used today. High Temperature/Short Time (HTST) and Extended Shelf Life (ESL) treatment. In addition, ultra-high temperature (UHT or ultra-heat treated) and Flash Pasteurization are also used for baby formula treatment.
In the HTST process, active baby forumla ingredient is forced between metal plates or through pipes heated on the outside by hot water, and is heated to approximately 150° F.-167° F., preferrably approximately 161° F. for 10-25 seconds, preferrably 15-20 seconds. The HTST pasteurisation standard was designed to achieve a 5-log reduction, killing 99.999% of the number of viable micro-organisms in baby formula. Generally, in the art, this is considered adequate for destroying almost all yeasts, mold, and common spoilage bacteria and also to ensure adequate destruction of common pathogenic heat-resistant organisms (including Mycobacterium tuberculosis, which causes tuberculosis and Coxiella burnetii, which causes Q fever). HTST pasteurization processes must be designed so that the active baby formula ingredients are heated evenly, and no part of the active baby formula ingredients are subject to a shorter time or a lower temperature.
During the UHT pasteurization process the active baby formula ingredient is held at a temperature of 240° F.-260° F., preferrably 250° F. for only a fraction of a second.
The ESL method utilizes active baby formula ingredient with a microbial filtration step and generally lower temperatures than the HTST method.
Flash pasteurization works by rapidly heating active baby formula ingredients to a temperature of around 160-180° F. prior to the filling and packaging processes. The active baby formula ingredient will be kept at this temperature for less than 20 seconds prior to being rapidly cooled. The flash pasteurization process has some space and cost advantages due to handling the beverage in bulk before filling.
The HTST process is a form of “indirect” pasteurization (See,
In one embodiment, the MES is integrated into a baby formula pasteurization system (
In addition, the invention comprises monitoring the data from initial process, monitoring the data at the end process, and monitoring the data from a routine maintenance schedule to ensure the system maintain data integrity and validation standard predetermined by the quality control unit. (See,
In one embodiment, the monitoring and analysis of the pasteurization systems achieves a step of integration into a manufacturing execution system whereby manufacturing productivity and product quality are increased. Costs are streamlined over time.
In the context of baby formula manufacturing, homogenization is a term connoting a process that makes a mixture the same throughout the entire substance. In this case of the instant invention, the mixture is active baby formula ingredient(s) which, in a preferred embodiment have undergone pasteurizattion. For baby formula this is necessary to increase emulsion uniformity and stability by reducing the size of the fat and oil particles in the baby formula. To achieve this, modern homogenization technology is based on the use of pressure on liquids to subdivide particles or droplets present in fluids into the very smallest sizes (submicron) and create a stable dispersion ideal for further processing (i.e. standardization, etc.). The passage of active baby formula product at very high pressure through a specially designed valve with an adjustable gap, called a homogenizing valve, is able to microsize dispersed particles down to the order of magnitude of micrometers and nanometers. (
The current processes or methods of homogenizing of the instant invention can be broken down into three (3) major categories, ultrasonic, pressure, and mechanical. Ultrasonic homogenization is a widely used method to disrupt cells using ultrasonic disruption. These devices work by generating intense sonic pressure waves in a liquid media. The pressure waves cause streaming in the liquid and, under the right conditions, rapid formation of micro-bubbles which grow and coalesce until they reach their resonant size, vibrate violently, and eventually collapse. This phenomenon is called cavitation. The implosion of the vapor phase bubbles generates a shock wave with sufficient energy to break covalent bonds. Shear from the imploding cavitation bubbles as well as from eddying induced by the vibrating sonic transducer disrupt cells. There are several external variables which must be optimized to achieve efficient cell disruption. These variables are: tip amplitude and intensity, temperature, cell concentration, pressure, vessel capacity and shape.
Pressure homogenization is another widely used homogenization method. Generally, with the exception of highly filamentous microorganisms, this method has been found to be generally suitable for a variety of bacteria, yeast, and mycelia. This type of homogenizer works by forcing cell suspensions through a very narrow channel or orifice under pressure. Subsequently, and depending on the type of high-pressure homogenizer, they may or may not impinge at high velocity on a hard-impact ring or against another high-velocity stream of cells coming from the opposite direction. Machines which include the impingement design are more effective than those which do not. Disruption of the cell wall occurs by a combination of the large pressure drop, highly focused turbulent eddies, and strong shearing forces. The rate of cell disruption is proportional to approximately the third power of the turbulent velocity of the product flowing through the homogenizer channel, which in turn is directly proportional to the applied pressure. Thus, the higher the pressure, the higher the efficiency of disruption per pass through the machine. The operating parameters which affect the efficiency of high-pressure homogenizers are as follows: pressure, temperature, number of passes, valve and impingement design, and flow rate. An exemplary embodiment is set forth in
Mechanical homogenization is the final type of homogenization method and can be broken down into two (2) subcategories. Rotor-stator homogenizers and blade type homogenizers. Rotor-stator homogenizers (also called colloid mills) generally outperform cutting blade-type blenders and are well suited for plant and animal tissue. Combined with glass beads, the rotor-stator homogenizer has been successfully used to disrupt microorganisms. However, the homogenized sample is contaminated with minute glass and stainless steel particles and the abrasive wear to the rotor-stator homogenizer is unacceptably high. This is why this homogenizing method is rarely used in baby formula manufacture. Cell disruption with the rotor-stator homogenizer involves hydraulic and mechanical shear as well as cavitation.
Finally, blade type homogenizers are less efficient that rotor-stator homogenizers. In addition, many plant tissue homogenizers undergo enzymatic browning which is a biochemical oxidation process which can complicate subsequent separation procedures. For this reason, blade type homogenization is not commonly used in baby formula manufacture.
In one embodiment, the pasteurized active baby formula ingredient(s) (See, Example 2 entitled “Utilizing the Manufacturing Execution System to monitor the Pasteurization Process for baby formula manufacture) is ran through a homogenization system (See,
In one embodiment, the MES is integrated into the homogenization system used in baby formula manufacture. It will be understood by one of skill in the art that the MES integrates the hardware via generally understood devices in the art (i.e. attached to the analog device via an analog to digital converter). The MES is integrated into the homogenization system on a device-by-device basis. As previously, set forth, the acceptance criteria of all devices used in baby formula manufacture for the purposes of the homogenization process are determined by the quality control unit. The analysis of the software and hardware occurs using any of the methods disclosed herein. The MES monitors and processes the data and stores the data using standard methods. The data is provided to an end user or a plurality of end users for assessing the quality of data generated by the device. Furthermore, the data is stored for comparative analysis to previous batches to provide a risk-based assessment in case of failure. Using the historical analysis will provide a more streamlined homogenization process and will monitor to ensure that the homogenization system data is integrated into the homogenization processes. In addition, the invention comprises monitoring the data from initial process, monitoring the data at the end process, and monitoring the data from a routine maintenance schedule to ensure the system maintain data integrity and validation standard predetermined by the quality control unit. (See,
In one embodiment, the monitoring and analysis of the homogenization systems achieves a step of integration into a manufacturing execution system whereby manufacturing productivity and product quality are increased. Costs are streamlined over time.
Once the active baby formula ingredient(s) have been homogenized, the next step is standardization. During the standardization step, the resulting baby formula composition is standardized to ensure key parameters, such as pH, fat concentration, and vitamin(s) and mineral(s) are correct (generally against the previously set forth quality parameters provided by the quality control unit). If any of these ingredients are at insufficient levels (i.e. outside quality parameters) the baby formula batch can be reworked to achieve the appropriate levels. The batch is then ready to be packaged.
In one embodiment, the homogenized active baby formula ingredient(s) (See, Example 3 entitled “Utilizing the Manufacturing Execution System to monitor the Homogenization Process for baby formula manufacture) is ran through a standardization system (See,
In one embodiment, the MES is integrated into the standardization system used in baby formula manufacture. It will be understood by one of skill in the art that the MES integrates the hardware via generally understood devices in the art (i.e. attached to the analog device via an analog to digital converter). The MES is integrated into the standardization system on a device-by-device basis. As previously, set forth, the acceptance criteria of all devices used in baby formula manufacture for the purposes of the standardization process are determined by the quality control unit. The analysis of the software and hardware occurs using any of the methods disclosed herein. The MES monitors and processes the data and stores the data using standard methods. The data is provided to an end user or a plurality of end users for assessing the quality of data generated by the device. Furthermore, the data is stored for comparative analysis to previous batches to provide a risk-based assessment in case of failure. Using the historical analysis will provide a more streamlined standardization process and will monitor to ensure that the standardization system data is integrated into the standardization processes. In addition, the invention comprises monitoring the data from initial process, monitoring the data at the end process, and monitoring the data from a routine maintenance schedule to ensure the system maintain data integrity and validation standard predetermined by the quality control unit. (See,
In one embodiment, the monitoring and analysis of the standardization systems achieves a step of integration into a manufacturing execution system whereby manufacturing productivity and product quality are increased. Costs are streamlined over time.
Packaging of active baby formula ingredient(s) are important aspects of the baby formula manufacturing process given that the finished baby formula product is then ultimately distributed to the consumer. Currently, the vast majority of baby formula products are administered orally. Several alternative forms of baby formula product include but are not limited to powders, ready-made liquids, and liquids. Accordingly, the need for safe uniform packaging of baby formula product is apparent to one of skill in the art.
In one embodiment, the standardized active baby formula ingredient(s) (See, Example 4 entitled “Utilizing the Manufacturing execution system to monitor the Standardization process for baby formula manufacture”) is sent to finishing and packaging and active baby formula ingredient(s) are arranged into the proper dosage form and checked for uniform properties (See,
Once the baby formula product is filled and sealed the package is inspected to ensure proper sealing prior to sterilization (
In one embodiment, the manufacturing execution system is integrated into the packaging system hardware. It will be understood by one of skill in the art that the manufacturing execution system integrates the hardware via generally understood devices in the art (i.e. attached to the analog device via an analog to digital converter).
The MES is integrated into the packaging system on a device-by-device basis. (
In one embodiment, the monitoring and analysis of the packaging systems achieves a step of integration into a manufacturing execution system whereby manufacturing productivity and product quality are increased. Costs are streamlined over time.
Generally, and for purposes of this example, sterilization is a process that effectively kills or eliminates transmissible agents (such as fungi, bacteria, viruses, prions, and spore forms, etc.) from baby formula product and baby formula product packaging. Sterilization can be achieved through application of heat, chemicals, irradiation, high pressure or filtration. There are generally two types of sterilization, physical and chemical.
Physical sterilization includes heat sterilization and radiation sterilization. Chemical sterilization includes the addition of chemicals to facilitate the sterilization process. In baby formula manufacture, heat sterilization is common since it is the least invasive and baby formula is highly regulated from a quality standpoint (the end user being of course, infants).
Dry heat sterilization utilizes hot air that is either free from water vapour, or has very little of it, and where this moisture plays a minimal or no role in the process of sterilization. Generally, dry heat coagulates the proteins in any organism, causes oxidative free radical damage, causes drying of cells, effectively killing the microorganism. General methods of dry heat sterilization include but are not limited to the use of a hot air oven, flaming, radiation, or microwaves (See,
Conversely, moist heat sterilization, as the name implies, utilizes hot air that is heavily laden with water vapour and where this moisture plays the most important role in the process of sterilization. Moist heat coagulates the proteins in any organism and this is aided by the water vapour that has a very high penetrating property, leading to their death. It also causes oxidative free radical damage. This can even, at high enough temperatures kill prions.
Sterility assurance level (SAL) is a term used in baby formula manufacture to describe the probability of a single unit being non-sterile after it has been subjected to the sterilization process. For example, baby formula manufacturers design their sterilization processes for an extremely low SAL—“one in a million” baby formula product units should be nonsterile. SAL is also used to describe the killing efficacy of a sterilization process, where a very effective sterilization process has a very high SAL.
In one embodiment, the packaged baby formula product (See, Example 5 entitled “Utilizing the Manufacturing execution system to monitor a Packaging process for baby formula manufacture”) is sent to a sterilization process (See,
Once the baby formula product is sterilized within pre-determined sterility assurance levels set forth by the quality control unit it is then stored using standard methods. (
In one embodiment, the manufacturing execution system is integrated into the sterilization system hardware. It will be understood by one of skill in the art that the manufacturing execution system integrates the hardware via generally understood devices in the art (i.e. attached to the analog device via an analog to digital converter).
The MES is integrated into the sterilization system on a device-by-device basis. (
In one embodiment, the monitoring and analysis of the sterilization systems achieves a step of integration into a manufacturing execution system whereby manufacturing productivity and product quality are increased. Costs are streamlined over time.
The invention comprises a method for monitoring the acceptance criteria of all components used in baby formula manufacture. The analysis of the software and hardware occurs using any of the methods disclosed herein. The program monitors and processes the data and stores the data using methods known in the art. The data is provided to an end user or a plurality of end users for assessing the quality of the baby formula batch. Furthermore, the data is stored for comparative analysis to previous baby formula batches to provide a risk-based assessment in case of failure. Using the historical analysis will provide a more streamlined baby formula manufacturing approach and will provide cost-saving over time. In addition, the invention comprises monitoring the data from initial process, monitoring the data at the end process, and monitoring the data from a routine maintenance schedule to ensure the system maintain data integrity and validation standard predetermined by the quality control unit.
The invention comprises the integration of the manufacturing execution system into a baby formula manufacturing device. In this context, a device used in the baby formula manufacturing process includes, but is not limited to, blenders, bioreactors, capping machines, chromatography/separation systems, chilled water/circulating, glycol, coldrooms, clean steam, clean-in-place (CIP), compressed air, D.I./R.O. watersystems, dry heat sterilizers/ovens, fermentation equipment/bioreactors, freezers, filling equipment, filtration/purification, HVAC, environmental controls, incubators, environmentally controlled chambers, labelers, lyophilizers, dryers, mixing tanks, modular cleanrooms, neutralization systems, plant steam and condensation systems, process tanks, pressure systems, vessels, refrigerators, separation/purification equipment, specialty gas systems, steam generators/pure steam systems, steam sterilizers, stopper washers, solvent recovery systems, tower water systems, waste inactivation systems, “kill” systems, vial inspection systems, vial washers, water for injection (WFI) systems, pure water systems, washers (glass, tank, carboys, etc.), centrifuges, user-independent audit trails, time-stamped audit trails, data security, confidentiality systems, limited authorized system access, electronic signatures, bar codes, dedicated systems, add-on systems, control files, Internet, LAN's, portable handheld devices, homogenizers, sterilizers, pasteurizers, etc.
It will be understood by one of skill in the art that the manufacturing execution system integrates the hardware via generally understood devices in the art (i.e. attached to the analog device via an analog to digital converter).
The manufacturing execution system is integrated into the baby formula manufacturing system on a device-by-device basis. (
The invention comprises a manufacturing execution system integrated into a comprehensive cost-saving baby formula manufacturing system. A user, preferably a system administrator, logs onto the system via secure means (i.e. password or other security measures known in the art) and inputs the boundary values for a particular component of the baby formula manufacturing process (i.e. upper and lower limits of pH, temperature, concentration, volume, blending speed, SAL, homogenization pressure, packaging unit weight, etc.) The input is at the initial stage of baby formula manufacture, the end product stage of baby formula manufacture, or any predetermined interval in between that has been established for routine maintenance by the quality control unit. The data is generated using any one of the various analysis methods described herein (as previously stated the type of analysis used is functional to the device or protocol being monitored or evaluated). Subsequent to the data analysis, any modifications or corrective action to the baby formula manufacturing process is implemented. The data is then stored by standard methods known in the art. Scheduled analysis of the stored data is maintained to provide a preventative maintenance of the baby formula manufacturing process. Over time, costs are reduced due to the tracking of data and analysis of troubled areas and frequency of hazards that occur on any given device in the baby formula manufacturing process. The system is implemented on every device which plays a role in baby formula manufacturing. (
A paradigm shift is needed in the way baby formula is manufactured. Current processes are not readily understood by the industry at-large and the processes are time consuming and produce lower quality products. One of ordinary skill will appreciate that a lower quality baby formula batch is essentially, a waste. Often the baby formula batch must be run again using different production and system parameters. Quality control units that can continuously monitor a specific baby formula manufacturing process and use that data, via data analysis methods disclosed herein, will allow baby formula manufacturers to produce higher quality baby formula products in a faster timeframe. The fountainhead goal is to build quality into a baby formula product, rather than test for quality after the baby formula product is made. This Quality by Design (QbD) approach will allow one of ordinary skill in the art to understand that the former method is advantageous since it will be easier to locate a defect in baby formula manufacturing if monitoring is continuous rather that post-production or post-process. It is an object of the invention to provide this advantage.
Integration:
In one embodiment, the software program is integrated into a manufacturing execution system that controls the baby formula manufacturing process (generally set forth in
The software program/computer product is integrated into a manufacturing execution system on a device-by-device basis. (
The present invention is not to be limited in scope by the embodiments disclosed herein, which are intended as single illustrations of individual aspects of the invention, and any that are functionally equivalent are within the scope of the invention. Various modifications to the models, methods, and life cycle methodology of the invention, in addition to those described herein, will become apparent to those skilled in the art from the foregoing description and teachings, and are similarly intended to fall within the scope of the invention. Such modifications or other embodiments can be practiced without departing from the true scope and spirit of the invention.
This application is a continuation of U.S. patent application Ser. No. 13/694,184, filed 2 Nov. 2012, which is a continuation of U.S. patent application Ser. No. 12/583,708, filed 25 Aug. 2009, now U.S. Pat. No. 8,498,729, which claims priority to U.S. Provisional Patent Application No. 61/190,553 filed 29 Aug. 2008, the contents of which are fully incorporated by reference herein.
| Number | Name | Date | Kind |
|---|---|---|---|
| 2998315 | Peebles et al. | Aug 1961 | A |
| 3201245 | Clark et al. | Aug 1965 | A |
| 3841756 | Grochowicz | Oct 1974 | A |
| 3901979 | Nagasawa et al. | Aug 1975 | A |
| 4149411 | Fisher et al. | Apr 1979 | A |
| 4216236 | Mueller | Aug 1980 | A |
| 4303692 | Gaull | Dec 1981 | A |
| 4419369 | Nichols, Jr. et al. | Dec 1983 | A |
| 4544559 | Gil et al. | Oct 1985 | A |
| 4642238 | Lin et al. | Feb 1987 | A |
| 4661126 | Inagami et al. | Apr 1987 | A |
| 4663172 | Wenner | May 1987 | A |
| 4692340 | Grutte et al. | Sep 1987 | A |
| 4710387 | Uiterwaal et al. | Dec 1987 | A |
| 4753926 | Lucas et al. | Jun 1988 | A |
| 4830205 | Hammond et al. | May 1989 | A |
| 4840814 | Harada et al. | Jun 1989 | A |
| 4923709 | Slimak | May 1990 | A |
| 4925696 | Slimak | May 1990 | A |
| 4925697 | Slimak | May 1990 | A |
| 4929467 | Slimak | May 1990 | A |
| 4946703 | Slimak | Aug 1990 | A |
| 5007232 | Caudill | Apr 1991 | A |
| 5013569 | Rubin | May 1991 | A |
| 5039532 | Jost et al. | Aug 1991 | A |
| 5077067 | Thibault | Dec 1991 | A |
| 5186963 | Howman | Feb 1993 | A |
| 5374657 | Kyle | Dec 1994 | A |
| 5378488 | Dimler et al. | Jan 1995 | A |
| 5443857 | Arph et al. | Aug 1995 | A |
| 5447642 | Schenach | Sep 1995 | A |
| 5449523 | Hansen et al. | Sep 1995 | A |
| 5488039 | Masor et al. | Jan 1996 | A |
| 5492899 | Masor et al. | Feb 1996 | A |
| 5565425 | Yamamoto et al. | Oct 1996 | A |
| 5570816 | LaBarbera, Jr. | Nov 1996 | A |
| 5602109 | Masor et al. | Feb 1997 | A |
| 5700590 | Masor et al. | Dec 1997 | A |
| 5773061 | Getler et al. | Jun 1998 | A |
| 5783245 | Simpson, II | Jul 1998 | A |
| 5795611 | Slattery | Aug 1998 | A |
| 5814363 | Kuchner | Sep 1998 | A |
| 5837309 | Theuer | Nov 1998 | A |
| 5846583 | Gentner | Dec 1998 | A |
| 5902617 | Pabst | May 1999 | A |
| 5942274 | Slattery | Aug 1999 | A |
| 5993876 | Bertocchi | Nov 1999 | A |
| 6039985 | Kamarel | Mar 2000 | A |
| 6063433 | Benward et al. | May 2000 | A |
| 6165532 | Mutti et al. | Dec 2000 | A |
| 6186681 | Szembrot et al. | Feb 2001 | B1 |
| 6194009 | Kamarel | Feb 2001 | B1 |
| 6264889 | Tottenham et al. | Jul 2001 | B1 |
| 6270827 | Gaull et al. | Aug 2001 | B1 |
| 6365177 | Shahadeh | Apr 2002 | B1 |
| 6399090 | Shehdeh | Jun 2002 | B1 |
| 6428832 | Van Den Burg et al. | Aug 2002 | B2 |
| 6596767 | Masor et al. | Jul 2003 | B2 |
| 6656903 | Sawatzki et al. | Dec 2003 | B1 |
| 6759071 | Nye et al. | Jul 2004 | B2 |
| 6814988 | Knight et al. | Nov 2004 | B2 |
| 6849268 | Lasekan et al. | Feb 2005 | B2 |
| 6866003 | Schulze-Wartenhorst | Mar 2005 | B2 |
| 6866861 | Luhman | Mar 2005 | B1 |
| 6874000 | Sholl et al. | Mar 2005 | B2 |
| 6875459 | Kopf et al. | Apr 2005 | B2 |
| 6881428 | Lange | Apr 2005 | B2 |
| 6887505 | Reaves et al. | May 2005 | B2 |
| 6893675 | Jacobson et al. | May 2005 | B1 |
| 6901848 | Beretta | Jun 2005 | B2 |
| 6905721 | Jacobson et al. | Jun 2005 | B2 |
| 7032816 | Markam et al. | Apr 2006 | B2 |
| 7035877 | Markham et al. | Apr 2006 | B2 |
| 7037518 | Luhman | May 2006 | B2 |
| 7043327 | Tsai et al. | May 2006 | B2 |
| 7070825 | Ndife et al. | Jul 2006 | B2 |
| 7090862 | Barrett-Reis et al. | Aug 2006 | B2 |
| 7131393 | Woolford et al. | Nov 2006 | B2 |
| 7150370 | Pyun | Dec 2006 | B2 |
| 7155345 | Amvidarson | Dec 2006 | B1 |
| 7273632 | Gazzolo et al. | Sep 2007 | B2 |
| 7322491 | Py et al. | Jan 2008 | B2 |
| 7357298 | Pokorny et al. | Apr 2008 | B2 |
| 7378123 | Etzel et al. | May 2008 | B2 |
| 7380213 | Pokorny et al. | May 2008 | B2 |
| 7401728 | Markham et al. | Jul 2008 | B2 |
| 7412461 | Sholl et al. | Aug 2008 | B2 |
| 7441030 | Smith et al. | Oct 2008 | B1 |
| 7607913 | Wells | Oct 2009 | B2 |
| 7618669 | Rangavajla et al. | Nov 2009 | B2 |
| 7648721 | Edens et al. | Jan 2010 | B2 |
| 7651716 | Davis et al. | Jan 2010 | B2 |
| 7776332 | Kuslys et al. | Aug 2010 | B1 |
| 7858028 | Pijls | Dec 2010 | B2 |
| 7882438 | Markham et al. | Feb 2011 | B2 |
| 7954521 | Py | Jun 2011 | B2 |
| 8007847 | Biderman et al. | Aug 2011 | B2 |
| 8026211 | Sukhotnik et al. | Sep 2011 | B2 |
| 8071152 | Etzel et al. | Dec 2011 | B2 |
| 8081308 | Wang et al. | Dec 2011 | B2 |
| 8137718 | Russell et al. | Mar 2012 | B2 |
| 8153973 | Williams | Apr 2012 | B2 |
| 8213007 | Wang et al. | Jul 2012 | B2 |
| 8471002 | Fletcher | Jun 2013 | B2 |
| 8498729 | Popp | Jul 2013 | B2 |
| 9275356 | Popp | Mar 2016 | B2 |
| 20020002907 | Brockbank | Jan 2002 | A1 |
| 20020044989 | Gaull | Apr 2002 | A1 |
| 20020046290 | Andersson | Apr 2002 | A1 |
| 20020086039 | Lee et al. | Jul 2002 | A1 |
| 20030017192 | Kanafani | Jan 2003 | A1 |
| 20030072865 | Bindels et al. | Apr 2003 | A1 |
| 20030104078 | Barrett-Reis | Jun 2003 | A1 |
| 20030109967 | Cooper | Jun 2003 | A1 |
| 20030124232 | Nye et al. | Jul 2003 | A1 |
| 20030124237 | Kuhlman | Jul 2003 | A1 |
| 20030150908 | Pokorny et al. | Aug 2003 | A1 |
| 20030150909 | Markham et al. | Aug 2003 | A1 |
| 20030154144 | Pokorny et al. | Aug 2003 | A1 |
| 20030155415 | Markham et al. | Aug 2003 | A1 |
| 20030158795 | Markham et al. | Aug 2003 | A1 |
| 20030207004 | Theuer et al. | Nov 2003 | A1 |
| 20040086617 | Gazzolo et al. | May 2004 | A1 |
| 20040132989 | Lifran et al. | Jul 2004 | A1 |
| 20040203134 | Pyntikov et al. | Oct 2004 | A1 |
| 20050178799 | Cheong | Aug 2005 | A1 |
| 20050180963 | Adams et al. | Aug 2005 | A1 |
| 20050238341 | Thaler et al. | Oct 2005 | A1 |
| 20050251278 | Popp | Nov 2005 | A1 |
| 20050287247 | Sorensen et al. | Dec 2005 | A1 |
| 20060003073 | Etzel et al. | Jan 2006 | A1 |
| 20060007781 | Martin et al. | Jan 2006 | A1 |
| 20060013927 | Geveke et al. | Jan 2006 | A1 |
| 20060035922 | Mathias et al. | Feb 2006 | A1 |
| 20060078649 | Petermann et al. | Apr 2006 | A1 |
| 20060149407 | Markham et al. | Jul 2006 | A1 |
| 20060191993 | Markham et al. | Aug 2006 | A1 |
| 20060209630 | Brown et al. | Sep 2006 | A1 |
| 20060210697 | Mower | Sep 2006 | A1 |
| 20060233762 | McMahon et al. | Oct 2006 | A1 |
| 20060246244 | Jenkins et al. | Nov 2006 | A1 |
| 20060271227 | Popp | Nov 2006 | A1 |
| 20060276923 | Popp | Dec 2006 | A1 |
| 20060278093 | Biderman et al. | Dec 2006 | A1 |
| 20060286252 | Rangavajla et al. | Dec 2006 | A1 |
| 20070014892 | Mitchell et al. | Jan 2007 | A1 |
| 20070021856 | Popp | Jan 2007 | A1 |
| 20070032897 | Popp | Feb 2007 | A1 |
| 20070067125 | Guivarch | Mar 2007 | A1 |
| 20070104700 | Garcia-Rodenas et al. | May 2007 | A1 |
| 20070110849 | Secretin | May 2007 | A1 |
| 20070203802 | Medo et al. | Aug 2007 | A1 |
| 20070218169 | Meiri-Bendek et al. | Sep 2007 | A1 |
| 20070243290 | Thompson et al. | Oct 2007 | A1 |
| 20070243297 | Keller et al. | Oct 2007 | A1 |
| 20070243298 | Keller et al. | Oct 2007 | A1 |
| 20070243299 | Keller et al. | Oct 2007 | A1 |
| 20070248652 | Barzilay | Oct 2007 | A1 |
| 20070275021 | Lee et al. | Nov 2007 | A1 |
| 20070281068 | Boff et al. | Dec 2007 | A1 |
| 20080003329 | Rueda et al. | Jan 2008 | A1 |
| 20080003330 | Rueda et al. | Jan 2008 | A1 |
| 20080057178 | Rueda et al. | Mar 2008 | A1 |
| 20080064635 | Rueda et al. | Mar 2008 | A1 |
| 20080107769 | Tay et al. | May 2008 | A1 |
| 20080145475 | Flatt et al. | Jun 2008 | A1 |
| 20080193624 | Shulman et al. | Aug 2008 | A1 |
| 20080240978 | Sorensen et al. | Oct 2008 | A1 |
| 20080243269 | Townsend et al. | Oct 2008 | A1 |
| 20080260923 | Kratky et al. | Oct 2008 | A1 |
| 20080292770 | Shibata | Nov 2008 | A1 |
| 20080306630 | Fortell et al. | Dec 2008 | A1 |
| 20090094940 | Py | Apr 2009 | A1 |
| 20090098250 | Py | Apr 2009 | A1 |
| 20090175979 | Singhal | Jul 2009 | A1 |
| 20090214498 | Ross et al. | Aug 2009 | A1 |
| 20090282004 | Williams | Nov 2009 | A1 |
| 20090297672 | Warne | Dec 2009 | A1 |
| 20090304655 | Donnet-Hughes et al. | Dec 2009 | A1 |
| 20090308485 | Py | Dec 2009 | A1 |
| 20090311407 | Lucey et al. | Dec 2009 | A1 |
| 20100034958 | Sorensen et al. | Feb 2010 | A1 |
| 20100063611 | Patel et al. | Mar 2010 | A1 |
| 20100068354 | Roberson et al. | Mar 2010 | A1 |
| 20100074870 | Russell et al. | Mar 2010 | A1 |
| 20100074871 | Russell et al. | Mar 2010 | A1 |
| 20100086527 | Huber-Haag et al. | Apr 2010 | A1 |
| 20100112152 | Sinnema | May 2010 | A1 |
| 20100114514 | Wang et al. | May 2010 | A1 |
| 20100119617 | O'Connor | May 2010 | A1 |
| 20100166773 | Marks | Jul 2010 | A1 |
| 20100268658 | Medo et al. | Oct 2010 | A1 |
| 20100273718 | Kumar et al. | Oct 2010 | A1 |
| 20100304357 | Meyers | Dec 2010 | A1 |
| 20100316768 | Stillman | Dec 2010 | A1 |
| 20110020304 | Sprenger | Jan 2011 | A1 |
| 20110039010 | Rein et al. | Feb 2011 | A1 |
| 20110060440 | Copello | Mar 2011 | A1 |
| 20110136745 | Bringe et al. | Jun 2011 | A1 |
| 20110142817 | Brands et al. | Jun 2011 | A1 |
| 20110163127 | DiBella-Lenaway | Jul 2011 | A1 |
| 20110195144 | Haschke et al. | Aug 2011 | A1 |
| 20110250317 | Secretin | Oct 2011 | A1 |
| 20110287161 | Weber et al. | Nov 2011 | A1 |
| 20120009269 | Weber et al. | Jan 2012 | A1 |
| 20120058190 | Shehadeh | Mar 2012 | A1 |
| 20120171162 | Terragno et al. | Jul 2012 | A1 |
| 20120184007 | Picataggio et al. | Jul 2012 | A1 |
| 20120184020 | Picataggio et al. | Jul 2012 | A1 |
| 20120184484 | Wang et al. | Jul 2012 | A1 |
| 20120211521 | Moeggenberg et al. | Aug 2012 | A1 |
| 20120322676 | Ji et al. | Dec 2012 | A1 |
| 20130136826 | Penhasi | May 2013 | A1 |
| Number | Date | Country |
|---|---|---|
| 2036447 | Dec 2009 | EP |
| WO 03055322 | Jul 2003 | WO |
| WO 2006130204 | Dec 2006 | WO |
| WO 2007018585 | Feb 2007 | WO |
| WO 2008013749 | Jan 2008 | WO |
| WO 2008021858 | Feb 2008 | WO |
| WO 2012003263 | Jan 2012 | WO |
| Entry |
|---|
| FDA, “Federal Register 61 FR 36145—Current Good Manufacturing Practice, Quality Control Procedures, Quality Factors, Notification Requirements, and Records and Reports, for the Production of Infant Formula; Proposed Rule”, Jul. 9, 1996. |
| Futuristix, “Nestle's New Infant Formula Facility uses Wonderware's ArchestrA for tight production Control”, Jul. 2006. |
| M. R. Blake, B. C. Weimer, ⋅ D. J. McMahon, and P. A. Savello, “Sensory and Microbial Quality of Milk Processed for Extended Shelf Life by Direct Steam Injection”, Nov. 21, 1994, Journal of Food Protection. vol. 58, No. 9, pp. 1007-1013. (Year: 1994). |
| M. L. Ranieri and K. J. Boor, “Short communication: Bacterial ecology of high-temperature, short-time pasteurized milk processed in the United States”, 2009, J. Dairy Sci. 92 :4833-4840, doi: 10.3168/jds.2009-2181. (Year: 2009). |
| W. Hoffmann, C. Kiesner, I. Clawinrädecker, D. Martin, K. Einhoff, P. C. Lorenzen, H. Meisel, P. Hammer, G. Suhren and P. Teufel, “Processing of extended shelf life milk using microfiltration”, Nov. 2006, vol. 59, No. 4 International Journal of Dairy Technology. (Year: 2006). |
| P. C. Lorenzen, I. C. Decker, K. Einhoff, P. Hammer, R. Hartmann, W.Hoffmann, D. Martin, J. Molkentin, H.G. Walte and M. Devrese, “A survey of the quality of extended shelf life (ESL) milk in relation to HTST and UHT milk”, May 2011, vol. 64, No. 2, International Journal of Dairy Technology. (Year: 2011). |
| D.R. Sepulveda, M.M. Go'ngora-Nieto, J.A. Guerrero, G.V. Barbosa-Ca'novas, “Production of extended-shelf life milk by processing pasteurized milk with pulsed electric fields”, Oct. 2003, Journal of Food Engineering, 67, 81-86 (Year: 2003). |
| M. Kassem, E. Salem, A.M. Ahwal, M. Saddik and N.F. Gomaa, “Application of hazard analysis and critical control point system in the dairy industry”, 2002, La Revue de Sante de la Mediterranee orientale, vol. 8, No. 1. (Year: 2002). |
| F.L. Bryan, “Hazard Analysis Critical Control Point Evaluations A guide to identifying hazards and assessing risks associated with food preparation and storage”, 1992. (Year: 1992). |
| Codex Alimentarius Commission, “Recommended International Code of Practice General Principles of Food Hygiene”, 2003. (Year: 2003). |
| Codex Alimentarius Commission, “Hazard Analysis and Critical Control Point (HACCP) System and Guidelines for Its Application” (Year: 1997). |
| Food and Agriculture Organization of the United Nations World Health Organization, “Codex Alimentarius, Food Hygiene, Basic Texts, Second Edition”, Rome 2001. (Year: 2001). |
| T.F.B. ELaageb, “Evaluation of Hazard Analysis and Critical Control Points (HACCP) Implementation in the Pasteurized Milk Plant”, 2011, Dissertation Submitted in Partial Fulfillment for the Requirements of the Degree of Master of Science in Food Science and Technology, AL Neelain University. (Year: 2011). |
| IAFP HACCP PDG—Back to Basics working group, “HACCP Steps: Principles, Content, and Industry Gaps' A practical guide developed by industry for industry” Jul. 15, 2014. (Year: 2014). |
| M. van Schothorst and T. Kleiss, “HACCP in the dairy industry”, Food Control 1994 vol. 5 No. 3. (Year: 1994). |
| Food and Agriculture Organization of the United Nations, “Food Quality and Safety Systems—A Training Manual on Food Hygiene and the Hazard Analysis and Critical Control Point (HACCP) System”, 1998, Rome. (Year: 1998). |
| Path, “A workshop for developing a Hazard Analysis Critical Control Points plan for your human milk bank”, May 2016. (Year: 2016). |
| Hassan M. Masri, “Optimizing sample plans to improve microbiological safety in a food processing plant”, Jun. 7, 2013, Master of Science in Life Sciences Thesis, Virginia Polytechnic Institute and State University. (Year: 2013). |
| MacLean Jr. et al., “Upper levels of nutrients in infant formulas: Comparison of analytical data with the revised Codex infant formula standard”, Dec. 23, 2008, Journal of Food Composition and Analysis 23 (2010) 44-53. (Year: 2008). |
| Llorca et al., “Infant exposure of perfluorinated compounds: Levels in breast milk and commercial baby food”, Nov. 27, 2009, Environment International 36 (2010) 584-592. (Year: 2009). |
| Fu et al., “Isolation of Cronobacter spp. Isolates from Infant Formulas and Their Survival in the Production Process of Infant Formula”, 2011, Czech J. Food Sci. vol. 29, 2011, No. 4: 391-399. (Year: 2011). |
| Cook, Nutrient Levels in Infant Formulas: Technical Considerations, Committee on Nutritional Sciences, Infant Formula Council, pp. 1773-1778 (Nov. 7, 1988). |
| U.S. Dept. HHS, Guidance for Industry, Sterile Drug Products Produced by Aseptic Processing—cGMP, pp. 1-59 (Sep. 2004). |
| FDA, Clinical Testing of Infant Formulas with Respect to Nutritional Suitability for Term Infants, pp. 1-12 (Jun. 1988). |
| FDA, Frquently Asked Questions about FDA's Regulation of Infant Formula, pp. 1-3 (Mar. 1, 2006). |
| U.S. Dept. HHS, cGMP, Quality Control Procedures, Quality Factors, Notification Requirements, and Records and Reports, for . . . , Fed. Reg. 61 FR 36153, pp. 1-103 (Jul. 9, 1996). |
| FDA, Regulations and Information on the Manufacture and Distribution of Infant Formula, pp. 1-2 (Mar. 2002). |
| FDA, Guide to Inspections of Computerized Systems in the Food Processing Industry, pp. 1-27 (Mar. 2009). |
| WHO, Enterobactor Sakazakii and Other Microorganisms in Powdered Infant Formula, Session of the CODEX Comm. on Food Hygiene, pp. 1-59 (Feb. 2004). |
| FDA, Powdered Infant Formula: An Overview of Manufacturing Processes, pp. 1-2 (2003). |
| Health Canada, Good Manufacturing Practices (CMPs) for Infant Formula, pp. 1-39 (2006). |
| U.S. Code of Federal Regulations, 21 CFR Part 106, Infant Formula Quality Control Procedures, pp. 1-12 (Apr. 2004). |
| Futuristix, Nestle's New Infant Formula Facility Uses Wonderware's ArchestrA for Tight Production Control, pp. 43-45 (Jul. 2006). |
| Codex Alimentarius Commission, Recommended International Code of Hygienic Practice for Foods for Infants and Children, pp. 1-21 (1979). |
| Programmable Homogenizing System for Enhanced Productivity and Efficiency, JAHN, Amer. Lab. pp. 1-2, (Jun./Jul. 2006). |
| Use of a Systematic Risk Analysis Method to Improve Safety in the Production of Pediatric Parenternal Nutrition . . . , Bonnabry, et. al., Qual. Saf. Health Care 14:93-98 (2005). |
| Computer-aided Engineering Softwares in the Food Industry, Otles, et. al., J. Food Eng., 65:311-315 (2004). |
| Bovine Lactoferrin and Lactoferrin Derived from Milk: Production and Applications, Tomita, et. al., Biochem. Cell Biol. 80:109-112 (2002). |
| Development of a Novel Screening Method for the Isolation of Cronobacter . . . , Iversen, et. al., Applied and Env. Microbio., vol. 74, No. 8, pp. 2550-2553 (Apr. 2008). |
| DHA/ARA Supplemmental Infant Formulas, Author not named, Abreast of our Times, pp. 1-5 (Winter 2003). |
| Replacing Mother: Imitating Human Breast Milk in the Laboratory, Vallaeys, Cornucopia Inst., pp. 1-7 (Jan. 2008). |
| FDA 101: Infant Formula, US Food and Drug Administration, www.fda.gov, pp. 1-3 (Dec. 2007). |
| FDA Field Survey of Powdered Formula Manufacturing, Zink, US Food and Drug Administration, pp. 1-20 (Jul. 21, 2008). |
| Hungry for Business, Author Unknown, Rockwell Automation, pp. 6-9, (Dec. 2004). |
| Infant Formula: Second Best but Good Enough, Stehlin, FDA Consumer Magazine, pp. 1-8 (Jun. 1996). |
| Standardization, Simplification, and Specification, HARDIGG, Lecture—Army Industrial College, pp. 1-11 (Jan. 1, 1934). |
| Low Clump Reconstituion of Powdered Infant Formula, Foley, Purdue Univ., pp. 1-3 (Apr. 15, 2004). |
| Final Report: The Effect of Pretoria Pasteurisation on Bacterial Contamination . . . , Jeffery, et. al., Univ. of Pretoria, pp. 1-16 (Aug. 2002). |
| Guidance for Industry, Frequently Asked Questions about FDA's Regulation of Infant Formula, U.S. Dept. Health and Human Srvs., pp. 1-6 (Mar. 1, 2006). |
| Korea, Republic of Dariy and Products, Phillips, USDA Foreign Agriculture Report, pp. 1-19 (Nov. 21, 2006). |
| Process Control and Instrumentation, GEA Niro A/S, Oct. 1996, pp. 1-4. |
| Real-time process determination to achieve reproducible coating results, Walter, Aeromatic-Fielder AG, CH-4416 Bubendorf, Apr. 3, 2002, pp. 1-9. |
| Number | Date | Country | |
|---|---|---|---|
| 20160205990 A1 | Jul 2016 | US |
| Number | Date | Country | |
|---|---|---|---|
| 61190553 | Aug 2008 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 13694184 | Nov 2012 | US |
| Child | 14757922 | US | |
| Parent | 12583708 | Aug 2009 | US |
| Child | 13694184 | US |
