Manufacturing typically involves a sequence of events or processes. An error, shortfall or problem with any of those events or processes may have ripple effects that compromise overall product quality or reliability.
Attempts at identifying potential issues during manufacturing have been made but they have not provided a way in which issues can be identified in a timely or accurate enough manner. For example, it has been proposed to collect manufacturing data from a machine that has been designed with appropriate sensors or provided with such sensors. Even with such data collection there is a delay between potential issue identification and reporting as the sensor data typically must go from the sensor to a programmable logic controller, to a router, and then through some sort of network server before that data is processed and eventually reported in a way that does not make the potential issue or its source readily apparent. Reporting techniques may include data aggregation and analytics programs. In many instances if the data is provided to those responsible for machine operation or process completion at all it is well after the process or event at issue occurred.
Another challenge to manufacturers may be that the equipment used for various manufacturing processes or events can vary significantly in technological sophistication and age. Older machines and manual processes do not usually have sensors or diagnostic equipment associated with them. On the other hand more modern equipment may have some diagnostic equipment or sensors already in place. It is difficult to gather information from such varied equipment in an efficient and useful manner using known techniques. Further some such equipment may require modifications to the control features and that presents a cost and time barrier that may inhibit attempts to gather information from such machinery.
An illustrative example system for monitoring a plurality of events in a manufacturing facility includes a plurality of monitoring devices. Each of the monitoring devices obtains data regarding a selected one of the events. A reporting device receives the data obtained by the monitoring devices and provides a report regarding the monitored events. The report includes information regarding at least one characteristic of each of the monitored events. The information in the report is dynamically updated to provide a real time indication of the characteristics of the monitored events. The real time indications are presented in respective cells of the report including a first set of the cells that provides at least one indication of a machine or equipment involved in at least one of the monitored events, a second set of the cells that provides an indication of a status of a machine or equipment having an indication in the first set of the cells, a third set of the cells that provides an indication of a total run time for a machine or equipment having an indication in the first set of cells, and a fourth set of the cells that provides an indication of a number of cycles performed by a machine or equipment having an indication in the first set of cells.
An illustrative example method of monitoring a plurality of events in a manufacturing facility includes obtaining data regarding the events from monitoring devices, communicating the obtained data to a reporting device, and providing a report regarding the monitored events. The report includes information regarding at least one characteristic of each of the monitored events. The example method includes dynamically updating the information of the report to provide a real time indication of the characteristics of the monitored events, and presenting the real time indications in respective cells of the report.
Various features and advantages of at least one example disclosed system and method will become apparent to those skilled in the art from the following detailed description. The drawings that accompany that description can be briefly described as follows.
The monitoring devices respectively obtain information for a selected one of the events or processes. In the illustrated example, each monitoring device 22-30 is associated with a particular machine or a particular portion of the equipment used during manufacturing. The monitoring devices 22, 24, 26 and 28 are respectively associated with machines 32, 34, 36 and 38. The machines 32-28 are at least partially automated and complete at least one process or cause at least one event to happen in an automated fashion. The corresponding monitoring devices obtain information regarding the automatic operation of those machines or at least selected portions of those machines. The monitoring device 30 is associated with a manual assembly station 40 that at least one operator uses to perform a manual task or operation.
The monitoring devices provide information to a reporting device 44 that provides a report regarding the various processes or events occurring at the different machines. In this example the monitoring devices 22-30 communicate with the reporting device 44 through a communication hub 46 while in other examples, one or more of the monitoring devices 22-30 communicates directly with the reporting device 44. The communications schematically shown in
The monitoring devices 22-30 obtain information directly from the machines 22-38 or the assembly station 40, respectively, or a sensor or other device associated with the corresponding machine or station. Example sensors can include proximity sensors, limit switches, and foot pedal switches. The information is indicative of a selected feature or characteristic of at least one event or process that is part of the manufacturing process of interest. There are a variety of known parameters that can be used, for example, to monitor the quality or output of a machine used in manufacturing or assembly processes. The monitoring devices 22-30 gather such information to provide an indication of the progress of one or more operations being completed by or at the machines 32-38 or the station 40.
The data obtained by the monitoring devices 22-30 is used by the reporting device to provide dynamically updated indications regarding the characteristic or feature of a process or event based on current conditions in the manufacturing facility. In the example of
In this example, the output on the display 54 is in a spread sheet format that contains indications within various cells of the spread sheet and the information in each cell is updated in real time to reflect the current conditions at the manufacturing facility. The report as output on the display 52 provides a dynamic, changing representation of the conditions of interest for monitoring the progress and conditions at the manufacturing facility.
The information in the report provided by the reporting device 44 may take a variety of forms. The illustrated example includes information such as, the status of a machine (e.g., active or on), an elapsed or total monitoring period (i.e., total run time), a number of cycles, a cycle number, a sensor status and a sensor output. Other possible information includes a number of processed items, a number of deviations from an expected performance, a number of times a particular user definable input has changed, an area under a curve that describes a portion of an associated process or part, or an interval timer to report how long the user definable input has been in the current state.
In the example of
The example reporting device includes a memory 70 that is configured to at least temporarily retain information regarding the data obtained by the monitoring devices 22-30. The information in the memory allows for analysis of monitored manufacturing processes or events over time to identify trends or commonality among different issues associated with various manufacturing practices.
In the example report 80 of
In the illustrated example, 328 events have occurred between 7:31:47 AM (record number 28) and 9:56:29 AM (record number 402). For illustration clarity purposes, record numbers 40 to 392 have been suppressed. Reporting the production data obtained by the monitoring devices in spreadsheet form provides the ability to use available tools and functions built into available spreadsheet programs. For example, although not expressly stated in
This example includes user definable inputs or unique instructions embedded into the memory 106 or directly into the processor 108. The monitoring device 22 may automatically collect selected productivity data based on the user defined inputs. The user definable inputs may be digital or analog. One feature of this embodiment is that different monitoring devices may be customized to meet the particular needs of a given facility so that meaningful information may be obtained regarding a variety of manufacturing processes or events without requiring any modification to the manufacturing equipment.
The example of
In some examples a utility program in the monitoring device 22 is configured for interpreting productivity data. The utility program allows the monitoring device 22 to determine the reported information in corresponding cells of the output and to update the reported information in real time. If a change of state is detected executing the utility program results in a new entry into a database and a corresponding change in the appropriate cell of the output. The device executing the utility program records information about the event that included the change in the data to the extent such information may be captured by the monitoring device 22.
The utility program may also be configured in the processor 50 and memory 70 of the reporting device 44. Regardless of which device or combination of devices hosts the utility program it is configured so that the indications in the cells of the spread sheet report output are automatically and dynamically updated based on information reported by at least a corresponding one of the monitoring devices 22-30. With the example system 20 it is possible to connect directly with sensors or equipment without affecting any existing control system and without requiring any modification to the equipment or sensor. A real-time, dynamically updated output providing indications of various manufacturing processes or events is available with the illustrated example regardless of the age, brand or model of the machine or manufacturing equipment at a facility.
The preceding description is illustrative rather than limiting in nature. An example system and method are disclosed that provide enhanced abilities to monitor manufacturing processes and equipment. Variations and modifications to the disclosed examples may become apparent to those skilled in the art. Such changes do not necessarily depart from the essence of this invention. The scope of legal protection provided to this invention can only be determined from the following claims.
This application is a continuation of U.S. patent application Ser. No. 14/468,559, filed on Aug. 26, 2014, which claims priority to U.S. Patent Application Ser. No. 61/870,342, filed on Aug. 27, 2013.
Number | Date | Country | |
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61870342 | Aug 2013 | US |
Number | Date | Country | |
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Parent | 14468559 | Aug 2014 | US |
Child | 15707140 | US |