JP2021157397A - Product storage place management method - Google Patents

Abstract

To reduce pause occurrence frequencies in product manufacturing processes and achieve efficient production.SOLUTION: There is provided a product storage place management method when performing transportation from a first storage place for storing products processed in a first process to a second storage place for storing the products to be processed in a second process, the method including: a first prediction step of predicting presence/absence of pause occurrence, based on the number of products to be processed in the first and second processes and the total number of products stored in the first and second storage places, at each of a plurality of prediction time points set in a first prediction period, regarding a production schedule in the first prediction period; a second prediction step of predicting presence/absence of pause occurrence in first and second processing lines, at each of a plurality of prediction time points set in a second prediction period shorter than the first prediction period, regarding the production schedule predicted to have no pause occurrence in the first prediction step; and an adjustment step of adjusting the production schedule when the pause occurrence is predicted.SELECTED DRAWING: Figure 6

Description

The present invention relates to a product storage management method in a manufacturing process in which a product processed in a plurality of upstream processes is further processed in a plurality of downstream processes via a product storage.

In a manufacturing process for producing a product, for example, a steel manufacturing process, it is generally practiced that a product processed in an upstream process having a plurality of processing lines is once stored in a product yard and then further processed in a downstream process having a plurality of processing lines. It has been. For example, products that have been pickled in a plurality of pickling lines are each stored in a storage place where the products treated in the pickling line are stored, and then transported to a storage place in a cold rolling process, which is a downstream process. Then, it is cold-rolled in the cold-rolling process after waiting for the production turn. The cold rolling process also has a plurality of cold rolling lines, and one cold rolling line is designated according to the plate thickness and product type of the product to be produced, and the product is often processed.

In the above-mentioned manufacturing process, from the viewpoint of productivity, it is required that the processing of the upstream process and the downstream process is carried out smoothly and efficiently. The production efficiency is affected not only by the processing capacity of the upstream process and the downstream process, but also by the inventory status of the product storage area provided in each process and the transport capacity of the transport device that transports the products between the processes. As a case that hinders the efficient production of the upstream process and the downstream process, for example, if a production plan that requires product storage exceeding the maximum storage capacity of the rear surface storage area of the upstream process is executed, the processing is stopped due to the suspension of work-in-process adjustment. A situation that has to be done occurs in the upstream process. Further, for example, when a production plan is executed such that there are no products to be processed in the downstream process from the front yard in the downstream process, a situation occurs in the downstream process in which the processing has to be stopped due to the suspension of material shortage.

It is said that such suspension of work-in-process adjustment and suspension of material shortage does not occur at the stage of creating the production plan, but the actual production may not be as planned. In the past, suspension was avoided by recreating the production plan each time based on the production results and production performance forecasts.

For example, in Patent Document 1, a material to be transported is transported between a material supply source, a plurality of processes, and at least one storage place according to a predetermined production plan, and the material to be transported is processed in the plurality of processes to be subjected to the product. A physical distribution management support device that supports the physical distribution management of the material to be transported, which produces products from the material to be transported, is disclosed. In the technique described in Patent Document 1, attention is paid to the physical distribution between processes and storage areas, and when the predicted value of the actual physical distribution exceeds the upper limit of the physical distribution, an alarm is issued to urge the production plan to be reviewed, or the production plan is urged to be reviewed. If there is a discrepancy between the actual production and the actual production, the fluctuation of the physical distribution that will occur in the future from the planned distribution is predicted, the production plan is reviewed based on the predicted fluctuation, and it is caused by the stagnation of distribution such as between the yard. It reduces the occurrence of pauses.

Further, for example, in Patent Document 2, it is provided in at least one work process of a production line that produces a product through a plurality of work processes, and the production schedule of the self-work process, the production schedule of the post-work process, and the self-work process. As a result of memorizing the current inventory amount of the produced parts, creating a revision plan of the production schedule from the result of simulating the production schedule of the parts to be produced in the future in the own work process, and simulating the revision plan, the general A production plan correction system is disclosed that determines whether or not the parts produced in the conventional work process are out of stock and displays whether or not to adopt the correction plan. In the technique described in Patent Document 2, the work-in-process amount of the lower process is predicted based on the processing amount of the upper process and the lower process in the production plan, and the production plan is reviewed so that the work-in-process amount of the lower process does not become zero. Therefore, the occurrence of material shortage pause in the lower process is reduced.

Japanese Unexamined Patent Publication No. 2019-020875 Japanese Unexamined Patent Publication No. 6-143106

However, the above-mentioned Patent Document 1 does not disclose the method of the production plan, and when the content of the production plan is not based on the actual situation, the difference between the actual state of the production plan and the actual state of production becomes extremely large. In this case, even if the production plan is reviewed or the distribution is revised when the actual production results are known, the revision timing is too late, and the frequency of suspensions cannot be reduced.

Further, in Patent Document 2, although it is considered that the frequency of material shortage suspension can be reduced, the prediction assuming the maximum inventory capacity of the yard is also based on the transportation from the back yard in the upper process to the front yard in the lower process. Has not been implemented. Therefore, the technique described in Patent Document 2 cannot suppress the suspension of work-in-process adjustment, and cannot suppress the suspension that may occur due to insufficient transportation capacity or the like.

Therefore, the present invention has been made in view of the above problems, and an object of the present invention is to reduce the frequency of in-process adjustment suspension and material shortage suspension in the manufacturing process of a product for efficient production. The purpose is to provide a storage management method for products that can realize the above.

In order to solve the above problems, according to a certain viewpoint of the present invention, in the manufacturing process, from the first storage place for storing the products processed in the first step to the second step according to the production schedule. A method for managing a storage place for products when transporting the products to be processed to a second storage place, wherein the first step has a plurality of first processing lines, and the first storage place is a first. It has a plurality of first storage areas provided corresponding to each treatment line, the second process has a plurality of second treatment lines, and the second storage area corresponds to each of the second treatment lines. The production schedule for the first forecast period from the start time of the forecast to the end of the first forecast is composed of a plurality of second storage areas provided in the above, at each of the plurality of forecast time points set in the first forecast period. Based on the number of products processed in the first step, the number of products processed in the second step, and the total number of products stored in the first and second yard, the first The first prediction step for predicting the occurrence of pauses in the process or the second step, and the production schedule predicted not to cause pauses in the first prediction step are shorter than the first prediction period. At each of the plurality of prediction time points set in the second prediction period from the prediction start time to the second prediction end time, for each of the first processing lines, the number of products processed in the first processing line, the first Occurrence of suspension in the first processing line based on the number of products transported from the first storage area corresponding to the processing line to each second storage area and the number of products in stock in the first storage area at the start of forecasting. Predicting the presence or absence, for each of the second processing lines, the number of products processed in the second processing line, the number of products transported from each first storage area to the second storage area corresponding to the second processing line, and , A second prediction step and a first prediction step or a second prediction step for predicting whether or not a suspension occurs in the second processing line based on the number of products in stock in the second storage area at the start of prediction. Provided are storage management methods for products, including adjustment steps to adjust production schedules when outages are expected to occur in.

In the first prediction step, the value obtained by subtracting the number of products processed in the second step from the number of products processed in the first step at the end of the first prediction, and the first storage place and Based on the total number of products stored in the second yard, the excess or deficiency of the products in the first yard and the second yard is calculated, and the presence or absence of suspension in the first step or the second step is determined. You may predict.

In the second prediction step, for each of the first processing lines, the value obtained by subtracting the number of products transported from the first storage area corresponding to the first processing line to each second storage area from the number of products processed. Based on the number of products in stock in the first storage area at the start of the prediction, the excess or deficiency of the products stored in the first storage area is calculated, and the presence or absence of suspension in the first processing line is predicted. For each of the second processing lines, the value obtained by subtracting the number of products transported from each first storage area to the second storage area corresponding to the second processing line from the number of products to be processed, and the value at the start of forecasting. The excess or deficiency of the products stored in the second storage area may be calculated based on the number of products in stock in the second storage area, and the presence or absence of suspension in the first processing line may be predicted.

When it is predicted that a pause will occur in the first prediction step, in the adjustment step, the schedule information indicating the processing start time and processing end time of each product of each processing line of each process in the production schedule is changed. After that, the first prediction step may be executed again.

If it is predicted that a pause will occur in the second prediction step, in the adjustment step, the transport capacity information indicating the transport capacity of the product from the first yard to the second yard is changed, and then the second yard is followed by the second. The prediction step may be performed again.

In addition, the product storage management method may include a notification step of notifying the user of the prediction result when it is predicted that a pause will occur in the first prediction step or the second prediction step.

As described above, according to the present invention, it is possible to reduce the frequency of in-process adjustment suspension and material shortage suspension in the product manufacturing process, and to realize efficient production.

It is explanatory drawing explaining the movement of a product from an upstream process to a downstream process in a manufacturing process. It is a functional block diagram which shows one configuration example of the management system which includes the place management apparatus which concerns on one Embodiment of this invention. It is explanatory drawing which shows an example of the production schedule of the 1st forecast period. It is explanatory drawing which shows an example of the inventory management information including the maximum inventory quantity and the actual inventory quantity of each storage area a1 to an, b1 to bm of a storage place a, b. It is explanatory drawing which shows an example of the transport capacity information. It is a flowchart which shows the place management method of the product which concerns on this embodiment. It is explanatory drawing which shows the inventory state of the product when it is determined that the work-in-process adjustment suspension occurs in the 1st determination step. It is explanatory drawing which shows the stock state of the product at the time when it is determined that the shortage of material breaks out in the 1st determination step. It is explanatory drawing which shows an example of the adjustment of a production schedule. It is explanatory drawing which shows an example of the production schedule of the 2nd forecast period. It is explanatory drawing which shows an example of the stock state of the product of each rear surface storage place a1 to an of the storage place a. It is explanatory drawing which shows an example of the stock state of the product of each front storage place b1 to bm of the storage place b. It is explanatory drawing which shows the inventory state of the product when it is determined that the suspension occurs in the 2nd determination step. It is explanatory drawing which shows an example of the adjustment of the carrying capacity information. As an example of the manufacturing process, it is explanatory drawing which shows the steel manufacturing process including a pickling process, a cold rolling process, an annealing process, a plating process, and a packing process.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the present specification and the drawings, components having substantially the same functional configuration are designated by the same reference numerals, so that duplicate description will be omitted.

[1. Process overview]
First, an example of a product manufacturing process according to an embodiment of the present invention will be described with reference to FIG. FIG. 1 is an explanatory diagram illustrating the movement of a product from the upstream process A to the downstream process B in the manufacturing process.

In the manufacturing process shown in FIG. 1, a product processed in the upstream process A having a plurality of upstream processing lines A1 to An is subjected to a downstream process B having a plurality of downstream processing lines B1 to Bm by a transport device 10 such as a truck. Transport to and process. On the exit side of the upstream treatment lines A1 to An, there is a rear surface storage area a1 to an for storing the products processed in each of the upstream treatment lines A1 to An as a rear surface storage area a (also simply referred to as "storage place a"). It is provided. Similarly, on the entrance side of the downstream treatment lines B1 to Bm, as a front storage area b (also simply referred to as "storage place b"), a front storage area b1 for storing products processed in each downstream treatment lines B1 to Bm is used. ~ Bm is provided. Note that n and m are natural numbers of 2 or more.

For example, the manufacturing process is a steel manufacturing process, where the upstream process A is a pickling process and the downstream process B is a cold rolling process. In this case, the coils C pickled in the plurality of pickling lines in the pickling step are stored in the rear storage area provided on the exit side of each pickling line, and then stored in the rear storage area by the transport device. It is transported from the rear storage area to the front storage area of the front storage area. Then, the coil C stored in the front storage area is cold-rolled on the cold rolling line corresponding to each front storage area.

In such a manufacturing process, in order to efficiently carry out the processing of the upstream process and the downstream process without delay, in addition to the processing capacity of the upstream process and the downstream process, the stock status of the product storage area provided in each process and , It is necessary to have a production plan that takes into consideration the transport capacity of the transport device that transports products between processes. On the other hand, if all the above are taken into consideration in detail, it will take time to adjust the production plan. Therefore, by the product storage management method according to the present embodiment, in addition to the processing capacity of the upstream process and the downstream process, the inventory status of the product storage and the transport capacity of the transport device are taken into consideration to realize efficient processing. Develop a production plan while suppressing an increase in adjustment load. Hereinafter, the storage management method for the product according to the present embodiment will be described in detail.

[2. Product storage management method]
[2-1. System configuration]
First, the configuration of the management system 100 including the storage management device 120 for executing the storage management method for the product according to the present embodiment will be described with reference to FIG. FIG. 2 is a functional block diagram showing a configuration example of a management system 100 including a storage management device 120 according to the present embodiment.

In the manufacturing process, the management system 100 according to the present embodiment has a first storage place for storing products processed in the first step to a second storage place for storing products processed in the second step. It is a system that manages the inventory status of the products in the first storage place and the second storage place in the process of transporting to. Specifically, when the management system 100 processes the products in the first process and the second process, when the production schedule generated in advance based on the production plan is implemented, the production is produced due to excess or deficiency of the products. It is determined whether or not there is a possibility that the productivity will decrease, and if the productivity decreases, the production schedule will be readjusted to suppress the decrease in production efficiency. Hereinafter, a case of managing the inventory status of products in the manufacturing process shown in FIG. 1 will be described. In FIG. 1, the upstream process A corresponds to the first process, the downstream process B corresponds to the second process, the rear surface storage area a corresponds to the first storage area, the front surface storage area b corresponds to the second storage area, and the coil C corresponds to the product. Further, the plurality of upstream treatment lines A1 to An in the upstream process A are the first treatment line, the plurality of downstream treatment lines B1 to Bm in the downstream process B are the second treatment lines, and the front storage areas a1 to an are the first storage areas. The rear storage areas b1 to bm correspond to the second storage area.

As shown in FIG. 2, the management system 100 includes an input device 110, a storage place management device 120, an output device 130, and a production schedule storage unit 140.

The input device 110 is a device for the user to input information, and is a device operated for the user to input information, such as a mouse, a keyboard, a touch panel, a button, a switch, and a lever. The information input from the input device 110 is output to the storage management device 120. For example, the user uses the input device 110 to input a period for predicting the inventory status of products in the storage areas a and b for the production schedule generated in advance based on the production plan. The input device 110 outputs the input information to the storage management device 120.

The yard management device 120 determines whether or not there is a possibility that excess or deficiency of products will occur and productivity will decrease when the production schedule generated in advance based on the production plan is executed, and the production schedule is determined based on the determination result. adjust. The storage place management device 120 has a first determination unit 121, a second determination unit 123, and an adjustment processing unit 125.

The first determination unit 121 makes a global prediction of the movement status and the storage status of the product based on the production schedule of the first prediction period recorded in the production schedule storage unit 140 described later. The first determination unit 121 determines the number of products processed in the upstream process A (first step) and the downstream process B (second step) at each of the plurality of prediction time points set in the first prediction period. Based on the number of products processed in and the total number of products stored in the rear storage area a (first storage area) and the front storage area b (second storage area), the excess or deficiency of products in the storage areas a and b is determined. judge. The first prediction period is a period from the start time of prediction to the end time of the first prediction, and is set to, for example, about 2 to 3 weeks.

The upstream process A and the downstream process B each have a plurality of processing lines, and the storage areas a and b also have a plurality of storage areas corresponding to the plurality of processing lines. Therefore, in order to correctly determine the excess or deficiency of products in the storage areas a and b, it is desirable to make detailed predictions for each processing line and each storage area. However, if detailed predictions are made in all of the first prediction periods, the calculation load will increase. Therefore, the first determination unit 121 predicts the inventory status of products in process units and storage areas, each of which regards a plurality of processing lines and a plurality of storage areas as one unit. The details of the prediction process in the first determination unit 121 will be described later.

When the first determination unit 121 determines that the excess or deficiency of the product occurs in the storage areas a and b, the first determination unit 121 instructs the output device 130 to notify the user of the occurrence of the excess or deficiency of the product. In addition, the first determination unit 121 instructs the adjustment processing unit 125 to adjust the production schedule. Then, the first determination unit 121 predicts the inventory status of the product again based on the adjusted production schedule. When it is determined that excess or deficiency of products does not occur in the storage areas a and b, the first determination unit 121 sets the production schedule at this point as a setting candidate, and instructs the second determination unit 123 to start prediction. I do.

The second determination unit 123 determines the excess or deficiency of the product in each storage area in the second prediction period based on the production schedule adjusted by the first determination unit 121. The second prediction period is a period from the start time of the prediction to the end time of the second prediction, and is set shorter than the first prediction period. If the second prediction period is set too long, the adjustment load of the production schedule will increase, while if it is set too short, the prediction accuracy will decrease. Therefore, the second forecast period may be set based on past results, or may be set by obtaining an appropriate period by simulation. The second prediction period is set to, for example, a few days.

Specifically, the second determination unit 123 corresponds to the number of products processed by the upstream processing lines Aa to An and the upstream processing lines A1 to An for each of the upstream processing lines A1 to An in the upstream process A. Based on the number of products transported from the rear storage areas a1 to an to the front storage areas b1 to bm and the number of products in stock in the rear storage areas a1 to an at the start of the forecast, the first storage areas a1 to an Determine the excess or deficiency of stored products. Further, the second determination unit 123 determines the number of products processed in the downstream processing lines B1 to Bm for each of the downstream processing lines B1 to Bm in the downstream process B, and the downstream processing lines B1 from each rear surface storage area a1 to an. Products stored in the front storage areas b1 to bm based on the number of products transported to the front storage areas b1 to bm corresponding to ~ Bm and the number of products in stock in the front storage areas b1 to bm at the start of forecasting. Judge the excess or deficiency of. The details of the prediction process in the second determination unit 123 will be described later.

In this way, the second determination unit 123 determines in detail the excess or deficiency of the product for each storage area for a period shorter than the first prediction period. When the second determination unit 123 determines that an excess or deficiency of the product occurs in any of the storage areas a1 to an and b1 to bm, the second determination unit 123 notifies the user of the occurrence of the excess or deficiency of the product to the output device 130. Instruct to do. In addition, the second determination unit 123 instructs the adjustment processing unit 125 to adjust the production schedule. Then, the second determination unit 123 predicts the inventory status of the product again based on the adjusted production schedule. On the other hand, when it is determined that the excess or deficiency of the product does not occur in all the storage areas a1 to an and b1 to bm, the second determination unit 123 decides to carry out the production according to the production schedule at this time. decide.

The adjustment processing unit 125 adjusts the production schedule so that the excess or deficiency of the product does not occur when it is predicted that the excess or deficiency of the product will occur in the storage place. As cases where excess or deficiency of products occurs in the storage area, for example, products exceeding the maximum storage capacity of the rear surface storage area in the upstream process are stored in the rear surface storage area, or there are no products to be processed in the downstream process from the front storage area in the downstream process. There are cases. The adjustment processing unit 125 adjusts the production schedule by changing the processing time of the product, the type of the product to be processed, and the transport capacity of the product according to each case. .. Details of the production schedule adjustment by the adjustment processing unit 125 will be described later. The adjustment processing unit 125 adjusts the production schedule in response to the instructions of the first determination unit 121 and the second determination unit 123, and transfers the adjusted production schedule to the first determination unit 121 and the second determination unit 123. Output.

The output device 130 receives the determination results of the first determination unit 121 and the second determination unit 123 of the yard management device 120, and notifies the user of the occurrence of excess or deficiency of products in the yard. The output device 130 may be, for example, a display device that visually notifies the user of information such as a CRT display device, a liquid crystal display device, a plasma display device, and an EL display device, and may be a printer, a mobile communication terminal, or the like. May be good. Alternatively, the output device 130 may be an audio output device that outputs information as audio, such as a speaker.

The production schedule storage unit 140 stores the production schedule generated based on the production plan. The production schedule is initially set in advance based on the production plan, and is recorded in the production schedule storage unit 140. After that, the production schedule is reviewed by the storage management device 120 at a predetermined timing, and the production schedule readjusted by the adjustment processing unit 125 is changed to all the storage areas a1 to an and b1 to bm by the second determination unit 123. When it is determined that the excess or deficiency of the product does not occur, the production schedule of the production schedule storage unit 140 is updated to the adjusted production schedule. Further, the production schedule storage unit 140 may also store the transfer capacity information for transporting the product from the upstream process A to the downstream process B.

The configuration example of the management system 100 according to the present embodiment has been described above.

The storage management device 120 of the management system 100 is composed of various processors such as a CPU (Central Processing Unit) and a DSP (Digital Signal Processor), and the function of the storage management device 120 is such that the processor is a predetermined program. Therefore, it can be realized by being operated. The storage space management device 120 may be various processors as described above, or may be a so-called microcomputer in which a processor and a storage device such as a memory are integrally configured. Alternatively, the storage space management device 120 may be various information processing devices such as a PC (Personal Computer) and a server.

Further, the production schedule storage unit 140 may be a memory such as a RAM (Random Access Memory) or a storage device for storing data. A memory such as a RAM may be built in, for example, the storage management device 120. The storage device can be configured by, for example, a magnetic storage device such as an HDD (Hard Disk Drive), a semiconductor storage device, an optical storage device, an optical magnetic storage device, or the like.

[2-2. Storage management process]
Next, a storage management method for the product according to the present embodiment will be described with reference to FIGS. 3 to 14. FIG. 3 is an explanatory diagram showing an example of a production schedule in the first forecast period. FIG. 4 is an explanatory diagram showing an example of inventory management information including the maximum inventory quantity and the actual inventory quantity of the storage areas a1 to an and b1 to bm of the storage areas a and b. FIG. 5 is an explanatory diagram showing an example of transport capacity information. FIG. 6 is a flowchart showing a storage management method for products according to the present embodiment. FIG. 7 is an explanatory diagram showing the inventory status of the product when it is determined that the work-in-process adjustment suspension occurs in the first determination step. FIG. 8 is an explanatory diagram showing the inventory status of the product when it is determined that the shortage of material is suspended in the first determination step. FIG. 9 is an explanatory diagram showing an example of adjusting the production schedule. FIG. 10 is an explanatory diagram showing an example of a production schedule for the second forecast period. FIG. 11 is an explanatory diagram showing an example of the inventory status of the products of the rear surface storage areas a1 to an of the storage area a. FIG. 12 is an explanatory diagram showing an example of the inventory status of the products in the front storage areas b1 to bm of the storage area b. FIG. 13 is an explanatory diagram showing the inventory status of the product when it is determined that the suspension occurs in the second determination step. FIG. 14 is an explanatory diagram showing an example of adjusting the transport capacity information.

In the product storage management method according to the present embodiment, the inventory is predicted in two stages of the inventory quantity forecast of the storage areas a and b and the inventory quantity forecast of each storage area, and the latest production schedule is adjusted to some extent. Adjust the production schedule in consideration of the distribution situation. As a result, the frequency of work-in-process adjustment suspension and material shortage suspension is reduced as compared with the conventional case.

First, in executing the product storage management method according to the present embodiment, the production schedule storage unit 140 stores the production schedule. The production schedule is planned based on orders from customers, schedule information showing the processing start time and processing end time of each product for each processing line of each process, and the maximum inventory quantity and actual inventory quantity of each storage area of each storage area. Includes inventory management information and.

The schedule information includes, for example, as shown in FIG. 3, the serial number of the coil to be processed, the processing start time, and the processing end time of each of the upstream processing lines A1 to An in the upstream process A. Similarly, the downstream process B also includes the serial number of the coil to be processed, the processing start time, and the processing end time of each of the downstream processing lines B1 to Bm of the downstream process B. In FIG. 3, the schedule information is shown side by side in chronological order. Looking at FIG. 3, from the schedule information, for example, the coil 1001 processed by the upstream processing line A1 is processed by the downstream processing line B2, and the coil 1002 processed by the upstream processing line A1 is processed by the downstream processing line B1. As described above, the destination of movement from the upstream process A to the downstream process B can be specified.

Further, the inventory management information includes, for example, as shown in FIG. 4, the maximum inventory quantity and the actual inventory quantity of the storage areas ai and bj of the storage areas a and b. The maximum inventory quantity represents the maximum number of products that can be stored. The actual inventory quantity represents the number of products stored at a certain point in time. Hereinafter, the maximum inventory quantity and the actual inventory quantity of each storage area a, b and each storage area ai, bj are expressed as follows. Note that i and j are natural numbers, and i = 1 to n and j = 1 to m.

Nai: Maximum inventory of storage area ai Nbj: Maximum inventory of storage area bj N0ai: Actual inventory of storage area ai at the start of forecast (T0) N0bj: Actual inventory of storage area bj at the start of forecast (T0) Number of stocks ΣNai: Maximum number of stocks in yard a ΣNbj: Maximum number of stocks in yard b ΣN0ai: Number of actual stocks in yard a at the start of forecast (T0) Nab: Total maximum inventory of storage areas a and b (= ΣNai + ΣNbj)
N0ab: Total actual inventory quantity at the time of forecast start (T0) of storage areas a and b
(= ΣN0ai + ΣN0bj)

For example, in the example shown in FIG. 4, the maximum inventory number Na1 of the coils in the storage area a1 is 100, and the actual inventory number N0a1 at the prediction start time (T0) is 80. The maximum inventory number Nb1 of the coils in the storage area b1 is 70, and the actual inventory number N0b1 at the prediction start time (T0) is 50. The maximum inventory number ΣNai of the storage place a is 800, and the actual inventory number at the time of the start of prediction (T0) is 700. The maximum inventory number ΣNbi of the storage place b is 700, and the actual inventory number at the time of the start of prediction (T0) is 650. The total maximum inventory number Nab of the storage areas a and b is 1500, and the total actual inventory number N0ab at the prediction start time (T0) is 1350.

Further, the production schedule storage unit 140 stores the transport capacity information for transporting the product from the upstream process A to the downstream process B as the production schedule. As shown in FIG. 5, for example, the transport capacity information can be represented by the standard transport amount Kaibj (pieces / h) per hour from the rear storage area ai to the front storage area bj. For example, in the example shown in FIG. 5, the standard transport amount Ka1b1 from the rear storage area a1 to the front storage area b1 is 2 pieces / h, and the standard transport amount Ka2b2 from the rear storage area a2 to the front storage area b2 is 3 pieces. / H. The transport capacity information is preset in consideration of the transport capacity of the transport device 10, the processing capacity of the upstream process A and the downstream process B, and the like. The transport capacity information can be changed when it is necessary to review the production schedule, as will be described later.

(S100: First prediction step)
As shown in FIG. 6, in the product yard management method according to the present embodiment, the first determination unit 121 of the yard management device 120 predicts the number of products in stock for each yard in the first prediction period. , It is predicted whether or not there will be a pause due to excess or deficiency of products (S100). In the first prediction step, the possibility of suspension occurs when the production of the product is continued based on the current production schedule from the current production status. That is, in the first prediction step, the number of products processed in the upstream process A and the downstream process at each of the plurality of prediction time points set in the first prediction period from the prediction start time to the first prediction end time. Based on the number of products processed in B and the total number of products stored in the storage areas a and b, the excess or deficiency of the products in the storage areas a and b is calculated, and the possibility of suspension is predicted.

To specifically explain the first prediction step, first, as shown in FIG. 3, the first determination unit 121 divides the first prediction period T1 into p pieces, and a plurality of prediction time points T1_u (u =). 1 to p and p are natural numbers of 2 or more. T1_p = T1) is set. Here, the prediction start time T0 and the first prediction period T1 may be preset, or may be specified by the user using the input device 110. In FIG. 3, the prediction start time T0 is set at midnight k days after the present time, and the first prediction period T1 is set to 15 days. Further, the interval for dividing the first prediction period T1 can be appropriately set, for example, in FIG. 3, it is set to 1 hour. That is, in the example shown in FIG. 3, the first prediction period T1 is divided into 360.

The first determination unit 121 is a value obtained by subtracting the number of products processed in the entire downstream process B from the number of products processed in the entire upstream process A at the time when each prediction time point T1_u is reached from T0 at the start of prediction ( Hereinafter, it is also referred to as “number of processing differences”). In addition, the first determination unit 121 calculates the total actual inventory quantity N0ab at the prediction start time point (T0) of the storage areas a and b. Then, the first determination unit 121 calculates the sum of the processing difference number and the total actual inventory number N0ab as the total inventory number for each prediction time point T1_u. The total inventory quantity is used to determine if there is a possibility of a suspension.

If the total inventory quantity at each prediction time point T1_u exceeds the total maximum inventory quantity Nab of the storage areas a and b, the products cannot be stored in the storage areas a and b, and there is a possibility that work-in-process adjustment suspension may occur. For example, in the case shown in FIG. 7, when the prediction time point T1_180 is reached, the number of products processed in the entire upstream process A is estimated to be 15,000, and the number of products processed in the entire downstream process B is estimated to be 14,700. The number of processing differences is 300. Since the total actual inventory number N0ab is 1350, the total inventory number at this time is 1650, which exceeds the total maximum inventory number Nab 1500. In such a case, it is determined that the work-in-process adjustment suspension may occur.

Further, when the number of processing differences at each prediction time point T1_u is 0 or less, there is a possibility that the product is insufficient and the material shortage is suspended. For example, in the case shown in FIG. 8, when the prediction time point T1_80 is reached, the number of products processed in the entire upstream process A is estimated to be 600, and the number of products processed in the entire downstream process B is estimated to be 970. The number of processing differences is -20. In such a case, it is determined that the number of products in stock in the front storage area b is insufficient with respect to the processing capacity in the downstream process B, and there is a possibility that a material shortage suspension may occur.

As described above, the first determination unit 121 is the number of products processed in the upstream process A at each of the plurality of prediction time points set in the first prediction period from the prediction start time point to the first prediction end time point. , Calculate the excess or deficiency of products in the storage areas a and b based on the number of products processed in the downstream process B and the total number of products stored in the storage areas a and b, and predict the possibility of suspension. do.

(S110: Notification step)
When it is determined by the first prediction step of step S100 that a pause may occur, the first determination unit 121 notifies the output device 130 that the pause may occur. Give instructions to do. Upon receiving the instruction, the output device 130 notifies the user that a pause such as a work-in-process adjustment pause or a material shortage pause may occur (S110). For example, if the output device 130 is a display, the notification content is displayed on the display, or the display color of the display is set to a color indicating a warning. Further, for example, if the output device 130 is a speaker, the notification content or a sound representing the notification content is output. In this way, the user is notified that a pause may occur if the operation is continued as it is.

(S120: First adjustment step)
When it is determined by the first prediction step of step S100 that the suspension may occur, the adjustment processing unit 125 reviews the production schedule (S120). For example, the adjustment processing unit 125 increases or decreases the number of products processed in steps A and B, such as changing the production time of products based on the result of the first prediction step, so as to avoid suspension. Adjust the schedule information of the schedule.

For example, consider a case where the schedule information before adjustment is shown in FIG. 3 and the work-in-process adjustment suspension shown in FIG. 7 may occur. At this time, as shown in FIG. 9, for example, the adjustment processing unit 125 reduces the number of products processed in the entire upstream process A when the prediction time point T1_180 is reached, and reduces the number of products processed in the entire downstream process B. The schedule information from T0 at the start of prediction to T1_180 at the time of prediction is adjusted so as to increase. As a result, the total inventory quantity is set to be equal to or less than the total maximum inventory quantity Nab, and the occurrence of the in-process adjustment suspension is avoided.

The number of products processed in steps A and B can be increased or decreased by changing the schedule information. For example, as shown in the lower part of FIG. 9, in order to reduce the number of products processed in the entire upstream process A when the prediction time point T1_180 is reached, for example, processing is scheduled from T0 at the start of prediction to T1_180 at the prediction time point. The existing product is modified to be processed later. In the example of FIG. 9, the processing timings of the coil 1003 of the upstream processing line A1 and the coil 2511 of the upstream processing line A1 are changed. Further, in order to increase the number of products processed in the entire downstream process B when the prediction time point T1_180 is reached, for example, the products scheduled to be processed from the prediction start time T0 to the prediction time point T1_180 are more per unit time. The product will be changed to a product with a large number of processed products. For example, the coil 0003 initially scheduled to be processed on the downstream processing line B1 is changed to coils 0515 and 0516, which have a larger number of product processes per unit time than the coil 0003 in FIG.

In this way, when the schedule information is adjusted by the adjustment processing unit 125 so as to avoid the pause, the first determination unit 121 executes the process of step S100 again based on the adjusted schedule information. Then, when it is determined by the first prediction step of step S100 that there is no possibility of a pause, the process of step S130 is executed.

(S130: Second prediction step)
Next, the second determination unit 123 of the storage management device 120 predicts the number of products in stock for each storage area in the second prediction period, and predicts whether or not a suspension occurs due to excess or deficiency of products (S130). ). In the second prediction step, from the current manufacturing situation, the possibility of suspension when the product is continued to be manufactured based on the current production schedule is detailed in consideration of the transport capacity of the product by the transport device 10. Predict to. At this time, the production schedule used is the one when it is determined in the first prediction step that there is no possibility of suspension.

In the second prediction step, at each of the plurality of prediction time points set in the second prediction period, the number of products processed by the upstream processing line and the rear storage area corresponding to the upstream processing line to each front storage area. Based on the number of products to be transported and the number of products in stock in the rear storage area at the start of forecasting, the excess or deficiency of products in each rear storage area is calculated, and the possibility of suspension is predicted. In addition, the number of products processed in the downstream processing line and the number of products transported from each rear storage area to the front storage area corresponding to the downstream processing line at each of the plurality of prediction time points set in the second prediction period. , And, based on the number of products in stock in the front storage area at the start of the forecast, the excess or deficiency of products in each rear storage area is calculated, and the possibility of suspension is predicted.

To specifically explain the second prediction step, first, as shown in FIG. 10, the second determination unit 123 divides the second prediction period T2 into q pieces, and a plurality of prediction time points T2_v (v = 1 to q and q are natural numbers of 2 or more. T2_q = T2) is set. Here, the second prediction period T2 may be preset, or may be specified by the user using the input device 110. In FIG. 10, the second prediction period T2 is set to 4 days. Further, the interval for dividing the second prediction period T2 can be appropriately set, for example, in FIG. 10, it is set to 1 hour. That is, in the example shown in FIG. 10, the second prediction period T2 is divided into 96 parts. The number of divisions q of the second prediction period T2 may be the same as or different from the number of divisions p of the first prediction period T1.

Next, the second determination unit 123 pays attention to the rear storage area ai, and based on the number of products processed by the upstream processing line Ai when reaching each prediction time point T2_v from T0 at the start of prediction, the rear storage area ai The value obtained by subtracting the number of products ΣKaibj × T2_v (j = 1 → m) transported from the front storage area b1 to bm (hereinafter, also referred to as “remaining rear surface storage number”) is calculated. Further, the second determination unit 123 adds the actual inventory quantity N0ai at the prediction start time (T0) to the remaining rear surface storage number when the prediction start time T0 reaches each prediction time point T2_v. Calculate the excess / deficiency evaluation value of each. Then, the second determination unit 123 compares the excess / deficiency evaluation value at each prediction time point T2_v with the maximum inventory number Nai of each rear surface storage area ai.

If the excess / deficiency evaluation value at each prediction time point T2_v exceeds the maximum inventory number Nai of each rear storage area ai, the product cannot be stored in the rear storage area ai, and there is a possibility that work-in-process adjustment suspension may occur. For example, in the case shown in FIG. 11, in the rear storage area a1, when the prediction time point T2_50 is reached, the number of products processed by the upstream processing line A1 is 90, from the rear storage area a1 to the front storage areas b1 to bm. The number of products to be transported (ΣKa1bj × T2_50) is estimated to be 50, and the number of remaining products stored on the rear surface is 40. At this time, the excess / deficiency evaluation value of the rear storage area a1 is 120, which exceeds 100 of the maximum stock number Na1 of the rear storage area a1. In such a case, it is determined that the work-in-process adjustment suspension may occur.

Further, when the excess / deficiency evaluation value at each prediction time point T2_v is 0 or less, there is a possibility that the product is in short supply and the material shortage is suspended. For example, in the case shown in FIG. 11, in the rear storage area an, when the prediction time point T2_50 is reached, the number of products processed by the upstream processing line A1 is 600, from the rear storage area an to the front storage areas b1 to bm. The number of products to be transported (ΣKambij × T2_50) is estimated to be 700, and the number of remaining rear surface storage is -100. At this time, since the maximum number of stocks of the rear storage area an is 50, the excess / deficiency evaluation value of the rear storage area an is −50. Further, even when the prediction time point T2_96 is reached, the excess / deficiency evaluation value of the rear storage area an is -50, and the excess / deficiency evaluation value of the rear storage area an remains -50. In such a case, as a result of insufficient inventory of products in the rear storage area an for the processing capacity of each downstream processing line in the downstream process B, the necessary products are transported to the front storage areas b1 to bm. It is judged that there is a possibility that the material shortage will occur.

Further, the second determination unit 123 pays attention to the front storage area bj, and the product transported from the rear storage areas a1 to an to the front storage area bj when the prediction start time T0 reaches each prediction time point T2_v. A value obtained by subtracting the number of products processed on the downstream processing line Bj from the number ΣKaibj × T2_v (i = 1 → n) (hereinafter, also referred to as “remaining front storage number”) is calculated. Further, the second determination unit 123 adds the actual inventory quantity N0bj at the prediction start time (T0) to the remaining rear surface storage number when the prediction start time T0 reaches each prediction time point T2_v, and the rear surface storage area bj. Calculate the excess / deficiency evaluation value of each. Then, the second determination unit 123 compares the excess / deficiency evaluation value at each prediction time point T2_v with the maximum inventory number Nbj of each rear surface storage area bj.

If the excess / deficiency evaluation value at each prediction time point T2_v exceeds the maximum inventory quantity Nbj of each front storage area bj, the product cannot be stored in the front storage area bj, and work-in-process adjustment suspension may occur. For example, in the case shown in FIG. 12, in the front storage area b2, when the predicted time point T2_50 is reached, the number of products (ΣKaib2 × T2_50) transported from the rear storage area a1 to an to the front storage area b2 is 1020. The number of products processed on the downstream processing line B2 is estimated to be 1000, and the remaining front storage number is 20. At this time, the excess / deficiency evaluation value of the front storage area b2 is 110 pieces, which exceeds 100 pieces of the maximum stock number Nb2 of the front storage area b2. In such a case, it is determined that the work-in-process adjustment suspension may occur.

Further, when the excess / deficiency evaluation value at each prediction time point T2_v is 0 or less, there is a possibility that the product is in short supply and the material shortage is suspended. For example, in the case shown in FIG. 12, in the front storage area b1, when the predicted time point T2_50 is reached, the number of products (ΣKaib1 × T2_50) transported from the rear storage area a1 to an to the front storage area b1 is 700. The number of products processed on the downstream processing line B1 is estimated to be 750, and the remaining front storage number is -50. At this time, since the actual stock quantity N0b1 of the front storage area b1 at the time of the prediction start (T0) is 50, the excess / deficiency evaluation value of the front storage area b1 is 0. In such a case, there is a shortage of products transported and stored from the rear storage areas a1 to an to the front storage area bj with respect to the processing capacity of each downstream processing line in the downstream process B, resulting in a shortage of materials. It is determined that it may occur.

In this way, the second determination unit 123 takes into consideration the transfer capacity of the transfer device at each of the plurality of prediction points set in the second prediction period from the start time of the prediction to the end time of the second prediction. The excess and deficiency of products in each storage area ai and bj are calculated, and the possibility of suspension is predicted.

(S140: Notification step)
When it is determined by the second prediction step of step S130 that the pause may occur, the second determination unit 123 notifies the output device 130 that the pause may occur. Give instructions to do. Upon receiving the instruction, the output device 130 notifies the user that a pause such as a work-in-process adjustment pause or a material shortage pause may occur (S140). The notification process in step S140 may be performed in the same manner as the process in step S110. As a result, the user is notified that a pause may occur if the operation is continued as it is.

(S150: Second adjustment step)
When it is determined by the second prediction step of step S130 that a pause may occur, the adjustment processing unit 125 reviews the transport capacity information for transporting the product from the upstream process A to the downstream process B. (S150). For example, the adjustment processing unit 125 increases or decreases the number of products to be conveyed by changing the transfer capacity of the products from the upstream process A to the downstream process B based on the result of the second prediction step, and avoids suspension. Adjust the transport capacity information of the production schedule so that it is done.

For example, when the transport capacity information before adjustment is set as shown in FIG. 5, as shown in FIG. 11, there is a possibility that a work-in-process adjustment pause may occur in the upstream processing line A1, and the upstream processing line An may occur. Consider the case where material shortage suspension may occur. At this time, as shown in FIG. 13, for example, the adjustment processing unit 125 increases the number of products transported from the rear storage area a1 up to the prediction time point T2_50 to the front storage areas b1 to bm for the upstream processing line A1, and performs upstream processing. For line An, the transport capacity information is changed so as to reduce the number of products transported from the rear storage area an to the front storage areas b1 to bm up to the prediction time point T2_96. As a result, the total inventory quantity of the upstream processing line A1 is set to be equal to or less than the total maximum inventory quantity Na1 to avoid the occurrence of work-in-process adjustment suspension, and the total inventory quantity of the upstream processing line An is set to be larger than 0. Avoid the occurrence of material shortage pauses.

The transport capacity information can be changed, for example, by changing the numerical value of the transport capacity information recorded in the production schedule storage unit 140, as shown in FIG. Specifically, by increasing the amount of transport per unit of the transport device 10 that transports the product from the yard a to the yard b, or by increasing the number of the transport devices 10, the product is transported from the yard a to the yard b. The number of products can be increased. Similarly, the number of products transported from the yard a to the yard b by reducing the transport amount per unit of the transport devices 10 for transporting the products from the yard a to the yard b or reducing the number of the transport devices 10. Can be reduced.

For example, in the transport capacity information of FIG. 14, for the upstream processing line A1, in order to increase the number of products transported from the rear storage area a1 to the front storage areas b1 to bm, the transport source is the rear storage area a1. It has been changed to increase its ability. Further, the upstream processing line An has been changed so that the transport capacity of products whose transport source is the rear storage area an is reduced in order to reduce the number of products transported from the rear storage area a1 to the front storage areas b1 to bm. ing. At this time, if the number of transport devices 10 for transporting products from the storage place a to the storage place b is limited, the distribution of the usable transport devices 10 is changed to adjust the transport capacity.

In this way, when the transfer capacity information is changed by the adjustment processing unit 125 so as to avoid the pause, the second determination unit 123 adjusts in the first prediction step based on the changed transfer capacity information. The process of step S130 is executed again for the schedule information of the produced production schedule. Then, when it is determined by the second prediction step of step S130 that there is no possibility of suspension, the second determination unit 123 determines the current production schedule and ends the process shown in FIG. do.

The method of managing the storage space of the product according to the present embodiment has been described above. According to this embodiment, the inventory is forecasted in two stages, the inventory quantity forecast of the storage areas a and b and the inventory quantity forecast of each storage area, and the latest distribution status is taken into consideration based on the adjustment of the production schedule to some extent. Adjust the production schedule. As a result, it is possible to reduce the frequency of work-in-process adjustment suspension and material shortage suspension as compared with the conventional case.

In the manufacturing process, when the product storage management method according to the embodiment of the present invention and the conventional product storage management method are applied to manage the number of stocks in the storage, the frequency of suspension and the adjustment load of the production schedule are adjusted. Was compared. Here, as an example of the manufacturing process, a steel manufacturing process including a pickling step, a cold spreading step, an annealing step, a plating step, and a packing step as shown in FIG. 15 was examined. Assuming that each process has three processing lines, a production plan for two weeks was formulated. The products in the front yard of each processing line shall be processed in the corresponding treatment line according to the production plan, then stored in the back yard, and then transported to the front yard of the post-process processing line according to the production plan. bottom. At this time, it was assumed that the material shortage suspension and the work-in-process adjustment suspension did not occur in each treatment line of the pickling process.

In the embodiment, the above-mentioned product storage management method according to the present embodiment was applied, and the two-step inventory forecast was executed once a day as follows.
(1st forecast) Prediction period: From the day to 2 weeks ahead The number of products in stock was predicted for each storage area where the back storage area of the previous process and the front storage area of the back process were aggregated. If, as a result of the forecast, it was predicted that a suspension might occur, the schedule information of the production schedule was adjusted until the possibility of a suspension disappeared.
(Second forecast) Forecast period: From the current day to 3 days ahead The number of products in stock is forecast for each storage area. If, as a result of the prediction, it was predicted that there was a possibility of a pause, the transport capacity information was adjusted until there was no possibility of a pause.

On the other hand, as Comparative Example 1, the number of products in stock was predicted for each yard at a frequency of once a day, with the prediction period from the current day to 3 days ahead by the method of Patent Document 1. If, as a result of the prediction, it was predicted that there was a possibility of a pause, the transport capacity information was adjusted until there was no possibility of a pause.

In addition, as Comparative Example 2, the inventory amount was predicted for each storage area at a frequency of once a day, with the prediction period from the current day to 2 weeks ahead. As a result of the prediction, when it was predicted that a suspension might occur, the schedule information and the transport capacity information of the production schedule were adjusted until the possibility of the suspension disappeared.

Table 1 below shows the results of comparing the frequency of interruptions and the adjustment load of the production schedule for Examples and Comparative Examples 1 and 2.

In Comparative Example 1, both the work-in-process adjustment pause and the material shortage pause occurred more frequently than in Examples and Comparative Examples. It is thought that this is because if the actual gap between the production plan and the actual production becomes extremely large, it is too late to review the production schedule three days ago, and the effect of suppressing the occurrence of suspension will decrease. Be done. On the other hand, in Examples and Comparative Example 2, the number of pauses was halved in both the work-in-process adjustment pause and the material shortage pause.

Although the number of suspensions was the same in Example and Comparative Example 2, the adjustment load required for adjusting the production schedule was significantly different, and the adjustment load in Example was about 40% of that in Comparative Example 2. In Comparative Example 2, since the inventory forecast was performed for each storage area during the entire forecast period, the production schedule must be adjusted for each storage area when the occurrence of suspension is predicted. Therefore, in Comparative Example 2, it is considered that the adjustment load of the production schedule was extremely large as compared with the Example.

Although the preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, the present invention is not limited to such examples. It is clear that a person having ordinary knowledge in the field of technology to which the present invention belongs can come up with various modifications or modifications within the scope of the technical ideas described in the claims. , These are also naturally understood to belong to the technical scope of the present invention.

10 Transport device 100 Management system 110 Input device 120 Storage management device 121 First judgment unit 123 Second judgment unit 125 Adjustment processing unit 130 Output device 140 Production schedule storage unit

Claims (6)

In the manufacturing process, when transporting from the first storage place where the products processed in the first step are stored to the second storage place where the products processed in the second step are stored according to the production schedule. It is a storage management method for products.
The first step has a plurality of first processing lines.
The first storage area has a plurality of first storage areas provided corresponding to each of the first processing lines.
The second step has a plurality of second processing lines.
The second storage area is composed of a plurality of second storage areas provided corresponding to each of the second processing lines.
The production schedule for the first prediction period from the start time of the prediction to the end time of the first prediction is processed in the first step at each of the plurality of prediction time points set in the first prediction period. Based on the number of products, the number of products processed in the second step, and the total number of products stored in the first yard and the second yard, the first step or the second step. The first prediction step for predicting the occurrence of pauses in the process,
The production schedule predicted not to be paused in the first prediction step is set to a second prediction period from the start time of the prediction to the end time of the second prediction, which is shorter than the first prediction period. At each of the multiple forecast points in time
For each of the first processing lines, the number of products processed in the first processing line, the number of products transported from the first storage area corresponding to the first processing line to each of the second storage areas, and the above. Based on the number of products in stock in the first storage area at the start of the prediction, the presence or absence of suspension in the first processing line is predicted.
For each of the second processing lines, the number of products processed in the second processing line, the number of products transported from each of the first storage areas to the second storage area corresponding to the second processing line, and A second prediction step of predicting whether or not a suspension occurs in the second processing line based on the number of products in stock in the second storage area at the start of the prediction.
An adjustment step that adjusts the production schedule when a pause is predicted to occur in the first prediction step or the second prediction step.
How to manage the storage of products, including. In the first prediction step, a value obtained by subtracting the number of products processed in the second step from the number of products processed in the first step at the end of the first prediction, and the above-mentioned value. Based on the total number of products stored in the first yard and the second yard, the excess or deficiency of the products in the first yard and the second yard is calculated, and the first step or the said The product storage management method according to claim 1, wherein the presence or absence of suspension in the second step is predicted. In the second prediction step,
For each of the first processing lines, the value obtained by subtracting the number of products transported from the first storage area corresponding to the first processing line to each of the second storage areas from the number of products to be processed, and the time when the prediction starts. Based on the number of products in stock in the first storage area, the excess or deficiency of the products stored in the first storage area is calculated, and the presence or absence of suspension in the first processing line is predicted.
For each of the second processing lines, the value obtained by subtracting the number of products transported from each of the first storage areas to the second storage area corresponding to the second processing line from the number of products to be processed, and the prediction start. Based on the number of products in stock in the second storage area at the time, the excess or deficiency of the products stored in the second storage area is calculated, and the presence or absence of suspension in the first processing line is predicted. The product storage management method according to claim 1 or 2. When it is predicted that a pause will occur in the first prediction step,
In the adjustment step, the schedule information representing the processing start time and processing end time of each product of each processing line of each process in the production schedule is changed.
The product storage management method according to any one of claims 1 to 3, wherein the first prediction step is then executed again. When it is predicted that a pause will occur in the second prediction step,
In the adjustment step, the transport capacity information indicating the transport capacity of the product from the first yard to the second yard is changed.
The product storage management method according to any one of claims 1 to 4, wherein the second prediction step is then executed again. The invention according to any one of claims 1 to 5, further comprising a notification step of notifying the user of the prediction result when a pause is predicted to occur in the first prediction step or the second prediction step. How to manage the storage of products.

Images