Patent Application
20210012258
This application is based upon and claims the benefit of priority from Japanese patent application No. 2019-126725, filed on Jul. 8, 2019, the disclosure of which is incorporated herein in its entirety by reference.
The present disclosure relates to an airport logistics management system.
Techniques for improving efficiency of logistics in airports have been under discussion. Japanese Unexamined Patent Application Publication No. 2002-321699 discloses a technique for connecting an air cargo holding area in an airport terminal building with an aircraft parking area by an air cargo conveyor mechanism provided underground and further connecting the ground level and a loading/unloading position for the air cargo conveyor mechanism by means of air cargo elevators, thereby conveying air cargo underground.
The workload of logistics in an airport has been predicted, for example, artificially and thus the accuracy thereof has not been very high. If the number of working vehicles and the number of workers that are necessary for the logistics job in the airport are determined based on the prediction of the workload whose accuracy is not very high, it is possible that the number of working vehicles or the number of workers may become insufficient at a peak time. Therefore, in an airport, excessive numbers of working vehicles and workers need to be secured. Further, currently, each airline company outsources the logistics work separately to a logistics company with which the airline company collaborates, which means each logistics company needs to secure a number of working vehicles sufficient to deal with the workload at the peak time of the airline company which outsources its logistics work. Therefore, there is a problem that the number of excessive working vehicles in the airport further increases.
The present disclosure has been made in view of the aforementioned background and aims to provide an airport logistics management system capable of reducing working resources in the logistics in the airport.
An airport logistics management system according to one embodiment of the present disclosure includes: a collection unit configured to collect departure and arrival information, information regarding accommodation capacities of departing and arriving flights, and information regarding a record of past amounts of loads; a prediction unit configured to predict a workload in logistics at an airport based on the information collected by the collection unit; and a determination unit configured to determine working resources based on the workload predicted by the prediction unit.
In the airport logistics management system according to one embodiment of the present disclosure, the workload in the logistics in the airport is predicted based on the departure and arrival information, the information regarding the accommodation capacities of departing and arriving flights, and the information regarding the record of the past amounts of loads, whereby it is possible to improve the accuracy of predicting the workload. The working resources required in each of the logistics companies are determined by predicting the workload with a high accuracy. Therefore, the working resources in the logistics in the airport can be reduced compared to a case in which the working resources are determined by predicting the workload with a low accuracy such as a case in which the workload is predicted artificially.
Further, the working resources may be the number of working vehicles and the number of workers. The number of working vehicles and the number of workers that are necessary in each logistics company is determined by predicting the workload with a high accuracy, whereby the number of working vehicles and the number of workers can be reduced.
Further, the determination unit may further determine arrangement of the working vehicles based on the workload predicted by the prediction unit. By determining the arrangement of each of the working vehicles by predicting the workload with a high accuracy, it is possible to improve the operation efficiency in the logistics work.
Further, the collection unit may collect, from a terminal of each airline company, each of the departure and arrival information, the information regarding accommodation capacities of departing and arriving flights, and the information regarding the record of the past amounts of loads.
Further, the determination unit may notify a terminal of a resource management company that collectively manages working resources of results of determining the amount of the working resources.
According to the present disclosure, it is possible to reduce working resources in the logistics in an airport.
The above and other objects, features and advantages of the present disclosure will become more fully understood from the detailed description given hereinbelow and the accompanying drawings which are given by way of illustration only, and thus are not to be considered as limiting the present disclosure.
Hereinafter, the present disclosure will be described based on the following embodiment. However, the disclosure set forth in claims is not limited to the following embodiment. Moreover, it is not absolutely necessary to provide all the configurations to be described in the following embodiment as means for solving the problems. The following descriptions and the drawings are omitted and simplified as appropriate for the sake of clarity of description. Throughout the drawings, the same elements are denoted by the same reference symbols, and overlapping descriptions are omitted as appropriate.
First, a configuration of an airport logistics management system according to the embodiment will be described.
The collection unit 2 collects departure and arrival information, information regarding accommodation capacities of departing and arriving flights, and information regarding a record of past amounts of loads. The prediction unit 3 predicts the workload in the logistics in an airport based on the information collected by the collection unit 2. The determination unit 4 determines the amount of working resources that are necessary based on the workload predicted by the prediction unit 3. The amount of the working resources is, for example, the number of working vehicles or the number of workers.
Next, a flow of processing in the airport logistics management system 1 will be described below. In the following description,
Next, effects of reducing the amount of the working resources by use of the airport logistics management system 1 according to this embodiment will be described.
The workload of the logistics in an airport has been predicted, for example, artificially and thus the accuracy thereof has not been very high. If the amount of working resources (the number of working vehicles, the number of workers, etc.) that are necessary for the logistics job in the airport is determined based on the prediction of the workload whose accuracy is not very high, it is possible that the number of working vehicles or the number of workers may become insufficient at a peak time. Therefore, an excessive amount of working resources need to be secured in the airport.
The larger the amounts of the loads handled in the airport become, the larger the workload in the logistics in the airport becomes. In general, when the number of departing and arriving flights becomes large, the amounts of loads become larger than that in a case in which the number of departing and arriving flights is small. Further, when the accommodation capacities of the departing and arriving flights become large, the amounts of loads become larger than that in a case in which the accommodation capacities are small. Further, it is generally considered that the current amounts of loads have a correlation with the previous amounts of loads in the same period. When, for example, the record of the amounts of loads last year shows that the respective amounts of loads in January, March, May, July, August, and December are relatively large and the respective amounts of loads in February, April, June, September, October, and November are relatively small, it can be considered that the amounts of loads this year in the months corresponding to the above months in last year will tend to be similar to each other. Therefore, the amounts of loads handled in the airport can be estimated from the departure and arrival information, the information regarding the accommodation capacities of the departing and arriving flights, and the information regarding the record of the past amounts of loads.
In the airport logistics management system 1 according to this embodiment, the workload in the logistics in the airport is predicted based on the departure and arrival information, the information regarding the accommodation capacities of the departing and arriving flights, and the information regarding the record of the past amounts of loads. It is therefore possible to improve the accuracy of predicting the workload. Then the amount of the working resources required in each logistics company is determined by predicting the workload with a high accuracy, whereby it is possible to reduce the amount of the working resources in the logistics in the airport.
The determination unit 4 shown in
As shown in
If each of the logistics companies secures the number of working vehicles that are sufficient to cope with situations at the peak time, the logistics company A2 secures 40 working vehicles and the logistics company B2 secures 50 working vehicles. That is, 90 working vehicles in total are held in the airport. On the other hand, in the logistics operation that uses the airport logistics management system 1 according to this embodiment (see
It can be considered that the case of the number of workers is the same as that of the aforementioned case of the number of the working vehicles. That is, by having all the workers who engage in the logistics work belong to the resource management company D and having the resource management company D send the required workers to each of the logistics companies A2 and B2, it is possible to further reduce any excess number of workers.
Note that the present disclosure is not limited to the above embodiment and may be changed as appropriate without departing from the spirit of the present disclosure.
For example, in the above-described embodiments, the airport logistics management system according to the present disclosure has been described as a hardware configuration, but the present disclose is not limited thereto. In the present disclosure, any processing of the airport logistics management system can be achieved by a processor, such as a CPU (Central Processing Unit), loading and executing a computer program stored in a memory.
The program can be stored and provided to a computer using any type of non-transitory computer readable media. Non-transitory computer readable media include any type of tangible storage media. Examples of non-transitory computer readable media include magnetic storage media (such as floppy disks, magnetic tapes, hard disk drives, etc.), optical magnetic storage media (e.g. magneto-optical disks), CD-ROM (compact disc read only memory), CD-R (compact disc recordable), CD-R/W (compact disc rewritable), and semiconductor memories (such as mask ROM, PROM (programmable ROM), EPROM (erasable PROM), flash ROM, RAM (random access memory), etc.). The program may be provided to a computer using any type of transitory computer readable media. Examples of transitory computer readable media include electric signals, optical signals, and electromagnetic waves. Transitory computer readable media can provide the program to a computer via a wired communication line (e.g. electric wires, and optical fibers) or a wireless communication line.
From the disclosure thus described, it will be obvious that the embodiments of the disclosure may be varied in many ways. Such variations are not to be regarded as a departure from the spirit and scope of the disclosure, and all such modifications as would be obvious to one skilled in the art are intended for inclusion within the scope of the following claims.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2019-126725 | Jul 2019 | JP | national |
