JP2020197901A - System, method, and program - Google Patents

Abstract

To provide a system capable of improving the efficiency of order processing.SOLUTION: The system determines processing start time points of an order according to a process pattern in which some facilities selected from a plurality of facilities are passed through in sequence, and includes: prediction means for predicting transition of in-process inventory for each of the plurality of facilities; detection means for detecting facilities and time points at which each work-in-process inventory is predicted to be below a threshold as under-stock facilities and under-stock time points based on prediction results of the prediction means; and determination means for determining respective processing start due time points of the order that pass through the respective under-stock facilities so as to allow the order to pass through the under-stock facilities by the under-stock time points.SELECTED DRAWING: Figure 1

Description

The present invention relates to systems, methods, and programs.

In Patent Document 1, the net requirement and the required date are calculated by allocating inventory or order backlog for the product or child parts, and based on the work required for production and the daily production capacity of the equipment, the due date should not be delayed. Planning a production schedule, planning the required date of parts and raw materials according to the production schedule, developing the required quantity for the item to be produced, calculating the total required quantity of child items, and transporting. Planning a transportation schedule that does not delay the due date for the accompanying items, planning the total required quantity of the items to be transported and the required date of transportation, and a procurement plan that does not delay the due date for the items whose supply means is defined as procurement. Is disclosed to do.

Japanese Unexamined Patent Publication No. 2012-888784

By the way, when processing orders of various process patterns in a factory having a large number of facilities, it is difficult to formulate an efficient schedule without cutting off the work of each facility.

The present invention has been made in view of the above problems, and a main object thereof is to provide a system, a method, and a program capable of improving the efficiency of order processing.

In order to solve the above problems, the system of one aspect of the present invention is a system for determining an order input timing related to a process pattern that sequentially passes through a part of equipment selected from a plurality of equipment. Equipment and inventory for which the in-process inventory is predicted to be below the threshold value based on the prediction means for predicting the transition of the in-process inventory for each of the equipment and the prediction result of the prediction means. It includes a detection means for detecting as a shortage time, and a calculation means for calculating the input delivery date of an order passing through the stock shortage equipment so as to pass through the stock shortage equipment by the stock shortage time.

Further, the method of another aspect of the present invention is a method of determining an order input timing related to a process pattern of sequentially passing through a part of equipment selected from a plurality of equipment, and for each of the plurality of equipment. Predict the transition of the in-process inventory, and based on the prediction result, detect the equipment and time when the in-process inventory is predicted to be below the threshold value as the in-stock equipment and the in-stock shortage time, and pass through the in-stock equipment. The input delivery date of the order to be made is calculated so as to pass through the stock shortage facility by the stock shortage time.

Further, in the program of another aspect of the present invention, a computer of a system for determining an order input timing related to a process pattern of sequentially passing through some facilities selected from a plurality of facilities is used for each of the plurality of facilities. Prediction means for predicting the transition of in-process inventory, and detection of detecting equipment and time when the in-process inventory is predicted to be below the threshold value as in-stock equipment and in-stock shortage time based on the prediction result of the prediction means. It functions as a means and a calculation means for calculating the input delivery date of an order passing through the in-stock equipment so as to pass through the in-stock equipment by the in-stock shortage time.

According to the present invention, it is possible to improve the efficiency of order processing.

It is a block diagram which shows the configuration example of the factory input delivery date calculation system. It is a figure which shows the example of a process pattern. It is a figure which shows the example of order information. It is a figure which shows the example of the standard lead time information. It is a flow chart which shows the procedure example of the factory input delivery date calculation method. It is a figure which shows the example of the transition of in-process inventory. It is a figure which shows the example of the transition of in-process inventory. It is a figure which shows the example of a process pattern. It is a figure which shows the example of order information. It is a figure which shows the example of the standard lead time information. It is a flow chart which shows the procedure example of the factory input delivery date calculation method. It is a figure which shows the example of the transition of in-process inventory. It is a figure following FIG.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

FIG. 1 is a block diagram showing a configuration example of a factory input delivery date calculation system 1 as a system according to an embodiment. The factory input delivery date calculation system 1 is a system for calculating the delivery date for inputting an order from a customer to a factory.

The factory input delivery date calculation system 1 includes a control unit 10. The control unit 10 is a computer including a CPU, RAM, ROM, non-volatile memory, an input / output interface, and the like. The CPU of the control unit 10 executes information processing according to a program loaded into the RAM from the ROM or the non-volatile memory.

The program may be supplied via an information storage medium such as an optical disk or a memory card, or may be supplied via a communication network such as the Internet or a LAN.

FIG. 2 is a diagram showing an example of a process pattern. The factory is equipped with multiple types of equipment. Equipment includes equipment for, for example, hot rolling, cold rolling factories, slitter 1, slitter 2, refining, shipping and the like. Here, for the sake of simplicity, the equipment group related to cold rolling is collectively referred to as the cold rolling factory.

The process pattern is a pattern in which some equipment selected from a plurality of types of equipment provided in the factory is sequentially passed through. For example, there is a process pattern 1 that passes through hot rolling, a cold rolling factory, a slitter 1, and shipping in order, and a process pattern 2 that passes through hot rolling, a cold rolling factory, a slitter 2, refining, and shipping in order.

FIG. 3 is a diagram showing an example of order information. The order identifies the process pattern. In addition to the process pattern, the order also specifies the delivery date (here, the customer delivery date) and the processing amount.

FIG. 4 is a diagram showing an example of standard lead time information. The lead time is the period from when the front equipment starts processing to when it arrives at the rear equipment. The standard lead time is a standard lead time determined based on past performance. The actual lead time may change depending on the amount of work in process in the factory.

Information such as order information and standard lead time information is stored in a database constructed inside or outside the control unit 10 and read out by the control unit 10.

Returning to the explanation of FIG. 1, the control unit 10 includes an information acquisition unit 11, a work-in-process transition estimation unit 12, a safety work-in-process amount determination unit 13, a target order extraction unit 14, an input delivery date calculation unit 15, an input time determination unit 16, and an order. The input determination unit 17 is provided. These are realized by the CPU of the control unit 10 executing information processing according to a program loaded from the ROM or the non-volatile memory into the RAM.

The work-in-process transition estimation unit 12 is an example of a prediction means, the safety work-in-process amount determination unit 13 is an example of a detection means, the target order extraction unit 14 is an example of an extraction means, and the input delivery date calculation unit 15 is an example of a calculation means. The input timing determination unit 16 is an example of the determination means.

The information acquisition unit 11 acquires information such as order information and standard lead time information from the database.

The work-in-process transition estimation unit 12 predicts the transition of the work-in-process inventory of each facility. The transition of the in-process inventory of each facility is predicted based on the standby inventory of each facility at the time of prediction and the lead time of each facility. Specifically, the work-in-process transition estimation unit 12 has acquired information on the standby inventory of each equipment at the time of prediction, standard lead time information of each equipment (see FIG. 4), process pattern information, etc. acquired by the information acquisition unit 11. Forecast the transition of in-process inventory of each facility based on.

The standby inventory is the inventory waiting to be processed that is already waiting at the facility. The planned inventory is the inventory that will arrive at the facility and is calculated based on the standby inventory of the previous facility and the standard lead time. In-process inventory includes standby inventory and planned inventory. That is, the in-process inventory at an arbitrary time point includes the standby inventory at that time point and the planned inventory scheduled to arrive by that time point.

The safety work-in-process determination unit 13 is based on the prediction result of the work-in-process transition estimation unit 12, and is expected to have the work-in-process inventory below the safety inventory (that is, the threshold value) (hereinafter referred to as inventory shortage equipment) and its timing. (Hereinafter referred to as inventory shortage time) is detected.

The target order extraction unit 14 extracts orders that pass through the out-of-stock equipment from a plurality of orders. Specifically, the target order extraction unit 14 specifies a process pattern that passes through the inventory shortage facility detected by the safety work-in-process determination unit 13 from a plurality of orders included in the order information (see FIG. 3). Extract orders.

Further, the target order extraction unit 14 extracts the order having the earliest customer delivery date when there are a plurality of orders passing through the inventory shortage facility. Alternatively, orders may be extracted that pass through equipment whose in-process inventory is expected to be less than or equal to safe stock after the equipment that is out of stock.

The input delivery date calculation unit 15 calculates the input delivery date of the order extracted by the target order extraction unit 14 so as to pass through the inventory shortage facility by the inventory shortage time. The input delivery date (start delivery date) is the deadline for inputting to the factory, that is, the deadline for starting processing by the first equipment of the process pattern. The input delivery date is determined based on the lead time of equipment upstream of the equipment with insufficient inventory.

Specifically, the input delivery date calculation unit 15 calculates the standard lead time of the equipment upstream from the inventory shortage equipment included in the process pattern of the order extracted by the target order extraction unit 14 back from the inventory shortage time. The input delivery date of the order is calculated so as to pass through the inventory shortage equipment by the inventory shortage time.

The input time determination unit 16 determines a time earlier (or earlier) than the input delivery date calculated by the input delivery date calculation unit 15 as the input time of the order extracted by the target order extraction unit 14. The input time (start time) is the time when the product is put into the factory, that is, the time when the processing by the first equipment of the process pattern is started.

The order input determination unit 17 determines whether or not the input timing of all the orders scheduled to be input included in the order information (see FIG. 3) has been determined. The work-in-process transition estimation unit 12, the safety work-in-process amount determination unit 13, the target order extraction unit 14, the input delivery date calculation unit 15, and the input time determination unit 16 repeatedly execute the above processing until the input time of all orders is determined. ..

FIG. 5 is a flow chart showing a procedure example of a factory input delivery date calculation method as a method according to an embodiment realized in the factory input delivery date calculation system 1.

The control unit 10 of the factory input delivery date calculation system 1 executes the information processing shown in the figure according to the program, so that the work-in-process transition estimation unit 12, the safety work-in-process amount determination unit 13, and the target order extraction unit 14 shown in FIG. , It functions as an input delivery date calculation unit 15, an input time determination unit 16, and an order input determination unit 17.

First, the control unit 10 calculates the transition of the work-in-process inventory of each facility and detects the day when the work-in-process inventory of each facility falls below the safety inventory (S11; the work-in-process transition estimation unit 12 and the safety work-in-process amount determination unit 13). Processing as).

FIG. 6 is a diagram showing an example of changes in in-process inventory. Only slitter 1 and purification are shown here for simplicity. "OK" in the evaluation column indicates that the in-process inventory exceeds the safety stock (that is, the threshold value), and "NG" indicates that the in-process inventory is below the safety inventory.

The transition of in-process inventory is calculated by adding "input" to "initial value" and subtracting "output", for example, as explained below. A specific example will be described for the calculation of the slitter 1 for February 11 (the calculation date is February 10).

The initial value is the in-process inventory of the equipment of interest the day before. In a specific example, the initial value is the in-process inventory (3.0 days worth) of the slitter 1 on February 10. This is an example of waiting stock at the time of forecast.

The input is calculated based on the standard lead time from the upstream facility to the facility of interest. In a specific example, it is assumed that the cold rolling factory (see FIG. 2) upstream of the slitter 1 processes the order related to the process pattern 1 for 2.2 days in terms of the productivity of the slitter 1.

The output is the daily processing amount of the equipment of interest. In a specific example, it is assumed that the slitter 1 processes 1.0 day's worth on February 10.

Therefore, the in-process inventory for February 11 of Slitter 1 is 3.0 days + 2.2 days-1.0 days by adding "input" to "initial value" and subtracting "output". . Two days worth. In this way, the in-process inventory of each facility is calculated one by one from the calculation date.

Returning to the description of FIG. 5, the control unit 10 then selects the equipment whose work-in-process inventory is equal to or less than the safety stock at the earliest (S12; processing as the safety work-in-process amount determination unit 13). As shown in FIG. 6, in the specific example, the slitter 1 is selected because the slitter 1 falls short of the safety stock earlier than the other equipment (it was NG on February 22).

Next, the control unit 10 extracts orders that pass through the selected equipment, and selects the one with the earliest customer delivery date from among them (S13; processing as the target order extraction unit 14). In a specific example, orders A, C, E, and G related to the process pattern 1 passing through the slitter 1 are extracted from the order information (see FIG. 3), and the order A having the earliest customer delivery date is selected from the orders A, C, E, and G.

Next, the control unit 10 calculates the input delivery date of the selected order (S14; processing as the input delivery date calculation unit 15). In a specific example, the standard lead time (2 + 8 = 10 days; see FIG. 4) from the day when the in-process inventory of the slitter 1 becomes less than or equal to the safe inventory (February 22nd) until the slitter 1 is reached in order A is subtracted. The delivery date is the date (February 12).

Next, the control unit 10 provisionally creates an input plan so that the selected order is input at a timing in time for the input delivery date, that is, provisionally determines the input time (S15; processing as the input time determination unit 16). In a specific example, order A is placed at a timing that is in time for the delivery date (February 12), that is, processing by hot spreading (see FIG. 2), which is the first facility of process pattern 1, is started. Tentatively decide when to put it in.

Next, the control unit 10 determines whether or not the provisional creation of the input plans for all the orders has been completed (S16; processing as the order input determination unit 17). The control unit 10 repeats the processes of S11-S15 until the provisional creation of the input plans for all the orders is completed.

When the provisional creation of the input plans for all the orders is completed (S16: YES), the control unit 10 formalizes the input plans for all the temporarily created orders and ends the process.

If the provisional creation of the input plan for all orders has not been completed (S16: NO), the control unit 10 again calculates the transition of the in-process inventory of each facility, and the in-process inventory of each facility is less than or equal to the safe inventory. (S11). Here, the transition of the in-process inventory of each facility is calculated after including the order for which the input plan has already been provisionally created in the standby inventory information.

FIG. 7 is a diagram showing an example of changes in in-process inventory. As a result of tentatively creating an input plan for order A in the previous loop, the day when slitter 1 fell below the safety stock has receded (it was NG on February 28), and refining has fallen below the safety stock earliest (). It was NG on February 25).

Therefore, the control unit 10 extracts orders B, D, F, and H related to the process pattern 2 that passes through refining, selects order B having the earliest customer delivery time from them, and the in-process inventory for refining is safe stock. The input delivery date is the day (February 13) obtained by subtracting the standard lead time (2 + 8 + 2 = 12 days) until the purification is reached in order B from the following day (February 25).

According to the embodiment described above, when processing orders for various process patterns in a factory having a large number of facilities, it is possible to formulate an efficient input plan without cutting off the work of each facility. Therefore, it is possible to make the best use of the factory capacity.

In addition, according to the embodiment, among the orders that pass through the equipment that is below the safety stock, the order with the earliest customer delivery date is prioritized. Therefore, in addition to utilizing the above factory capacity, the delivery date compliance rate is improved and the product inventory is minimized. The effect of conversion can be expected further.

Hereinafter, other embodiments will be described. Detailed description of elements or steps that overlap with the above embodiment may be omitted.

8, 9, and 10 are diagrams showing examples of process patterns, order information, and standard lead time information according to other embodiments. The process pattern 3 passes through hot rolling, cold rolling mill, slitter 3, refining, and shipping in this order.

FIG. 11 is a flow chart showing a procedure example of a factory input delivery date calculation method as a method according to another embodiment.

First, the control unit 10 calculates the transition of the in-process inventory of each facility, detects the day when the in-process inventory of each facility becomes less than the safe inventory, and selects the equipment whose in-process inventory becomes less than the safe inventory earliest. (S11, S12). As shown in FIGS. 12 and 13, in the specific example, purification is selected because purification is the fastest to fall below the safety stock compared to other equipment (NG on February 25).

Next, the control unit 10 extracts orders that pass through the selected equipment, and then selects those that pass through the equipment whose in-process inventory is equal to or less than the safety inventory (S23). In a specific example, orders B, C, E, F, H, and I related to process pattern 2 or 3 passing through purification are extracted from the order information (see FIG. 9).

Here, orders B, E, and H pass through the slitter 2, and orders C, F, and I pass through the slitter 3. Comparing slitters 2 and 3, orders B, E, and H are selected because slitter 2 is faster and the in-process inventory falls below the safe inventory (it was NG on February 27).

Next, the control unit 10 calculates the input delivery date of the selected order (S14), and provisionally creates an input plan so that the selected order is input at a timing in time for the input delivery date, that is, temporarily determines the input time (s). S15). The control unit 10 repeats the processing of S11-S15 until the provisional creation of the input plan for all the orders is completed (S16).

According to the embodiment described above, in addition to utilizing the above-mentioned factory capacity, it is possible to consider the lack of in-process of a plurality of facilities. That is, by giving priority to orders with low in-process inventory in the entire process pattern, it is possible to formulate a more efficient input plan.

Although the embodiments of the present invention have been described above, the present invention is not limited to the embodiments described above, and it goes without saying that various modifications can be made to those skilled in the art.

In the embodiment described above, the transition of the work-in-process inventory and the input delivery date are calculated based on the standard lead time information (see FIG. 4), but as described above, the actual lead time is the amount of work-in-process in the factory. Since it can be changed according to the situation, for example, a plurality of lead time information may be prepared and the lead time information may be changed according to the amount of work in process in the factory.

1 Factory input delivery date calculation system, 10 Control unit, 11 Information acquisition unit, 12 Work in process transition estimation unit, 13 Safety work in process amount determination unit, 14 Target order extraction unit, 15 Input delivery date calculation unit, 16 Input timing determination unit, 17 Order input Judgment unit

Claims (10)

It is a system that determines the order submission time related to the process pattern that passes through some of the equipment selected from multiple equipment in order.
Forecasting means for predicting changes in in-process inventory for each of the plurality of facilities,
Based on the prediction result of the prediction means, a detection means for detecting the equipment and time when the in-process inventory is predicted to be below the threshold value as the stock shortage equipment and the stock shortage time.
A calculation means for calculating the input delivery date of an order passing through the inventory shortage facility so as to pass through the inventory shortage facility by the inventory shortage time.
System with. Further provided with a determination means for determining a time before the input delivery date as an input time of an order passing through the inventory shortage facility.
The system according to claim 1. Further provided with an extraction means for extracting orders that pass through the understock facility from a plurality of orders.
The system according to claim 1 or 2. The extraction means extracts the order with the earliest customer delivery date when there are a plurality of orders passing through the inventory shortage facility.
The system according to claim 3. When there are a plurality of orders passing through the in-stock equipment, the extraction means extracts an order passing through the equipment in which the in-process inventory is predicted to be below the threshold value next to the in-stock equipment.
The system according to claim 3. The forecasting means predicts the transition of the in-process inventory based on the standby inventory of each of the plurality of facilities at the time of prediction and the lead time of each of the plurality of facilities.
The system according to any one of claims 1 to 5. The in-process inventory at an arbitrary time point includes a standby inventory at that time point and a planned inventory scheduled to arrive by that time point.
The system according to any one of claims 1 to 6. The determination means determines the input time based on the lead time of the equipment upstream of the out-of-stock equipment in the order.
The system according to any one of claims 1 to 7. It is a method of determining the input timing of an order related to a process pattern that sequentially passes through some of the facilities selected from a plurality of facilities.
Predict the transition of in-process inventory for each of the multiple facilities,
Based on the prediction result, the equipment and time when the in-process inventory is predicted to be below the threshold value are detected as the stock shortage equipment and the stock shortage time.
The input delivery date of the order passing through the inventory shortage facility is calculated so as to pass through the inventory shortage facility by the inventory shortage time.
Method. A computer for a system that determines the order submission time for a process pattern that sequentially passes through some of the equipment selected from multiple equipment.
Forecasting means for predicting changes in in-process inventory for each of the plurality of facilities,
Based on the prediction result of the prediction means, the detection means for detecting the equipment and time when the in-process inventory is predicted to be below the threshold value as the stock shortage equipment and the stock shortage time, and
A calculation means for calculating the input delivery date of an order passing through the inventory shortage facility so as to pass through the inventory shortage facility by the inventory shortage time.
A program to function as.

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