JP2007102272A - Supply chain planning program and supply chain planning system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To output production plan data 52 compliant with manufacturable frame data 53. <P>SOLUTION: This supply chain planning device is provided with: a dummy key parts generating means 13 which stores dummy key parts data 54 obtained by associating the identifiers of dummy key parts as the identifiers of arbitrary parts items which are not stored in parts configuration data with the identifiers of manufacturable product items; a dummy key parts adding means 14 which inserts the dummy key parts data 54 into parts configuration data 33; a dummy key parts dummy purchase order generating means 15 which inserts records obtained by associating a date based on the manufacturing date of the manufacturable frame data as the purchase date of the parts items and quantity based on the manufacturable quantity of the manufacturable frame data as the delivery quantity of the parts items with the identifiers of the dummy key parts into purchase order data 35; and a supply chain planning means 11 which reads the parts configuration data 33 and the purchase order data 35 or the like based on the instruction from the input device, and calculates the production plan data 52 of the product items. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a supply chain planning program and a supply chain planning apparatus for calculating a production plan and a shipment plan for a product based on orders, demand forecasts, and the like.

  In general, when a manufacturer makes a production plan, a supply chain planning tool is used. Here, “supply chain” indicates that product information from production (manufacturer, supplier, etc.) to sales (customer, customer, etc.) is unified. “Supply chain planning tool” is a general term for software for forecasting demand based on demand information such as POS data, and for correcting various plans such as production and delivery. Output production plan and shipment plan based on The supply chain planning tool can output an optimal production plan or the like by linear programming or heuristics while satisfying constraints such as parts order delivery date and manufacturing capability.

  A conventional supply chain planning apparatus 901 will be described with reference to FIG. The storage device 907a of the supply chain planning apparatus 901 includes item master data 931, operation day calendar data 932, part configuration data 933, process information data 934, purchase order data 935, product inventory data 936, parts inventory data 937, and confirmed orders. Data 938, sales prospect data 939, final production plan data 940, and the like are stored. The supply chain planning unit 911 installed in the central processing control device 901 of the supply chain planning device 901 reads each data stored in the storage device 907a, and supplies the shipping plan data 951, production to the storage device 907b as a supply chain plan. The plan data 952 and the like are output. In addition, parts procurement plan data, logistics plans, etc. are output.

  Here, the production plan data 952 is output based on a production plan that takes into account resource constraints. Specifically, the item master data 931, the part configuration data 933, the purchase order data 935, the part inventory data 937, and the like are read from the storage device 907a, and the part inventory, the part ordering data, the part purchase lead time, and the like are taken into consideration. The production plan data 952 is calculated to the extent that material procurement is possible.

  The production plan data 952 is output based on a production plan that takes capacity constraints into consideration. Specifically, the item master data 931, the working day calendar data 932, the process information data 934, etc. are read from the storage device 907a, and the production plan data is within the range of the manufacturing capacity in consideration of the process information and the working day calendar. 952 is calculated.

  As an example of this, a supply and demand plan formulation device that considers restrictions has been proposed (for example, Patent Document 1). In the supply and demand plan formulation device described in Patent Document 1, a demand information processing unit gives priority to demand information and is sent to the supply and demand plan formulation unit. On the other hand, the production capacity, inventory status, etc. are sent from each factory to the supply and demand plan formulation means via the constraint information processing means. The supply and demand plan formulation means transmits a production plan based on the supply and demand determined by SCM or the like to each factory, and returns the delivery date of the goods of the demand information to the sales base through the delivery date reply processing means 8. In the supply and demand plan formulation device described in Patent Document 1, since demand information and production information are collected in a lump and linked to each other, the delivery date response is quick and the inventory can be reduced.

  In the supply and demand plan formulation device described in Patent Document 1, the following constraint conditions are cited.

(1) Production process information (BOM)
(2) Process capability (production capacity for each process)
(3) Delivery plan for long delivery date members (4) Inventory (5) Confirmed production plan information (6) Logistics lead time On the other hand, a method for drafting manufacturable frame data from production plan data in a delivery date response is known. In the manufacturing industry that adopts the made-to-order method, in order to promptly respond to the delivery date and give a production instruction in a timely manner when an order is received, it has an order allocation logic generally called a seat reservation method (for example, patents) References 2 and 3).

In the methods described in Patent Documents 2 and 3, manufacturable frame data indicating which products can be manufactured when and how many are pre-calculated in consideration of production plans, parts procurement conditions, and the like. This manufacturable frame data is based on the parts procurement data and production capacity information, and defines the upper limit of the number of products that can be produced and how many product items can be produced within a predetermined period. It is. On the other hand, when an order is received, the order is assigned to a manufacturable frame with a predetermined logic, the delivery date is answered, the order is confirmed, and the product item and quantity for which the order has been confirmed is secured so that it cannot be assigned to other orders. Is done. Furthermore, taking into account the order delivery date and the manufacturing lead time, a manufacturing instruction is issued based on the confirmed order.
JP 2002-149936 A JP-A-4-145573 JP-A-4-145574

  However, in the conventional supply chain planning apparatus such as the supply and demand plan formulation apparatus described in Patent Document 1 described above, demand information and various types of constraint information are used as input data. However, all of these constraint information data is managed or maintained. Is not always in the correct state.

  For example, the purchase order information is determined by the person in charge of purchase in coordination with the vendor to determine the delivery date and delivery quantity. In this work, there are many parts that are recommended manually, so there are many cases where the delivery date setting and delivery quantity data are not the latest data, and the delivery date and delivery quantity change data due to vendor circumstances are updated. Lead time may be longer. In such a case, because there is some inaccurate data in the material constraint information, the plan drafted by the supply chain planning device cannot partially satisfy the real constraint and becomes an infeasible plan There is a problem that there may be cases.

  In addition, in order to be applicable to all situations, information input to supply chain planning is often information with strong constraints.

  Specifically, the purchase lead time of a member is considered as a part of material constraints. In detail, in the past, the delivery plan for long-delivery parts has been a constraint, but this is because if the difference between the supply chain planning implementation date (planning date) and the planning target date is less than the purchase lead time, This means that it is necessary to handle this part as a long delivery part. Therefore, if the difference between the supply chain planning execution date and the planning target date is equal to or greater than the purchase lead time, it is determined that the member can be procured in principle, so that there is no restriction condition.

  As described above, in general, the procurement lead time is often set to a period in which the procurement cannot be performed if the maximum period is set. That is, the procurement lead time to be set is often set longer than the actual lead time. Therefore, just because it is less than the procurement lead time set on the system does not necessarily mean that procurement is not possible. In this case, there is a case where delivery is possible immediately by inquiring the vendor.

  The conventional supply chain planning apparatus is a plan that can be surely executed, but there is a problem that even if the production can be increased by coordination with the vendor, there is a problem that an inflexible plan that leaves no room for this is made.

  Although it is conceivable to input detailed constraint conditions to the supply chain planning apparatus, there is a problem that a large amount of calculation is required in the optimization calculation of the production plan because the constraint conditions become complicated.

  In view of the above problems, an object of the present invention is to provide a supply chain planning program and a supply chain planning apparatus that output a production plan based on more accurate constraints.

  In order to solve the above-described problem, the first feature of the present invention is that when information is input from an input device, it is executed in a computer that processes the information while storing it in a register and a storage device. It relates to a supply chain planning program that calculates In other words, the supply chain planning program according to the first feature of the present invention includes a unit for storing in a storage device part configuration data in which a product item identifier is associated with a part item constituting the product item, and a part item identifier. , Means for storing purchase order data that associates the delivery date and delivery quantity of a part item in a storage device, an identifier of a product item that can be produced, and manufacturable frame data that associates the production date of the product item with a manufacturable quantity The means for storing in the storage device, the manufacturable frame data is read from the storage device, and the identifier of the dummy key part that is the identifier of any part item not stored in the part configuration data is added to the identifier of the product item that can be manufactured. Means for storing the associated dummy key parts data in the storage device, and reading the dummy key parts data from the storage device to Means for inserting the data into the storage device and storing it in the storage device, reading out the manufacturable frame data and dummy key part data from the storage device, and identifying the dummy key part identifier in the date of manufacture of the manufacturable frame data as the purchase date of the part item. Based on the instruction from the input device and means for inserting a record in which the date based on the quantity and the quantity based on the manufacturable quantity of the manufacturable quota data as the delivery quantity of the part item are inserted into the purchase order data and stored in the storage device Then, it is executed by a computer to realize means for reading at least part configuration data and purchase order data from the storage device, calculating production plan data of the product item, and storing it in the storage device.

  Here, the means for inserting into the purchase order data and storing it in the storage device reads out the manufacturable frame data and the dummy key part data from the storage device, and in the dummy key part identifier, the manufacturable frame as the purchase date of the part item. It is preferable that the storage unit stores a record associating the operation date before the data manufacturing date with the manufacturable quantity of the manufacturable frame data as the delivery quantity of the part item into the purchase order data.

  Such a supply chain planning program according to the first feature of the present invention produces a dummy purchase order of dummy key parts based on the manufacturable frame data and uses it as a material constraint to produce a manufacturable frame quantity. It can be the upper limit of the plan.

  A second feature of the present invention relates to a supply chain planning program that is executed in a computer that processes information stored in a register and a storage device when information is input from an input device, and calculates production plan data of a product item. . That is, the supply chain planning program according to the second aspect of the present invention includes a unit for storing process information data in which an identifier of a product item is associated with an identifier of a manufacturing process for manufacturing the product item in a storage device, Means for storing, in the storage device, work day calendar data that associates the work day of the manufacturing process with the identifier, the identifier of the manufacturable product item, and the manufacturable frame data that associates the date of manufacture of the product item with the manufacturable quantity Read the manufacturable frame data from the storage device and the means for storing in the storage device, and associate the identifier of the dummy process, which is the identifier of any process information not stored in the process information data, with the identifier of the manufacturable product item Means for storing the dummy process data in the storage device, and reading the dummy process data from the storage device and inserting it into the process information data Reads out the manufacturable frame data and the dummy process data from the storage device, the means for storing in the storage device, and records a record in which the dummy process identifier is associated with the date based on the date of manufacture of the manufacturable frame data as the operation date. Based on the instruction from the input device and the means to be inserted into the daily calendar data and stored in the storage device, at least the process information data and the working day calendar data are read from the storage device to calculate the production plan data of the product item In order to realize the means for storing in the storage device, it is executed by a computer.

  Here, the means for storing the working day calendar data in the storage device is means for storing the working day calendar data in which the working day and the working time of the manufacturing process are associated with the identifier of the process information in the storage device. The means for storing data in the storage device is means for storing, in the storage device, process information data in which the identifier of the product item is associated with the identifier of the manufacturing process for manufacturing the product item and the process capability of the manufacturing process. The means for storing data in the storage device reads out the manufacturable frame data from the storage device, and in the identifier of the manufacturable product item, the identifier of the dummy process which is the identifier of any process information not stored in the process information data And means for storing dummy process data associated with an arbitrary process capability in the storage device, which is inserted into the working day calendar data and stored in the storage device The means for storing reads out the manufacturable frame data and the dummy process data from the storage device, and in the dummy process identifier, arbitrarily inputs the date based on the date of manufacture of the manufacturable frame data as the operation date and the manufacturable quantity as the operation time. It is preferable that the record in which the time divided by the process capability is associated is inserted into the working day calendar data and stored in the storage device.

  A third feature of the present invention relates to a supply chain planning apparatus that is executed by a computer that processes information stored in a register and a storage device when information is input from an input device, and calculates production plan data of a product item. . That is, the supply chain planning apparatus according to the third aspect of the present invention includes a means for storing, in a storage device, part configuration data in which a part item that constitutes a product item is associated with a product item identifier, and a part item identifier. , Means for storing purchase order data that associates the delivery date and delivery quantity of a part item in a storage device, an identifier of a product item that can be produced, and manufacturable frame data that associates the production date of the product item with a manufacturable quantity The means for storing in the storage device, the manufacturable frame data is read from the storage device, and the identifier of the dummy key part that is the identifier of any part item not stored in the part configuration data is added to the identifier of the product item that can be manufactured. Means for storing the associated dummy key parts data in the storage device, and reading out the dummy key parts data from the storage device, Means to store the data in the storage device, read out the manufacturable frame data and dummy key parts data from the storage device, and use the identifier of the dummy key parts as the date of purchase of the manufacturable frame data as the date of purchase of the part item. Based on the instruction from the input device, means for inserting a record that associates the quantity based on the manufacturable quantity of the manufacturable frame data as the delivery quantity of the part item into the purchase order data and storing it in the storage device, Means for reading at least part configuration data and purchase order data from the storage device, calculating production plan data for the product item, and storing the data in the storage device.

  A fourth feature of the present invention relates to a supply chain planning apparatus that is executed in a computer that processes information stored in a register and a storage device when information is input from an input device, and calculates production plan data of a product item. . In other words, the supply chain planning apparatus according to the fourth aspect of the present invention includes: means for storing process information data in which an identifier of a product item is associated with an identifier of a manufacturing process for manufacturing a product item; Means for storing, in the storage device, work day calendar data that associates the work day of the manufacturing process with the identifier, the identifier of the manufacturable product item, and the manufacturable frame data that associates the date of manufacture of the product item with the manufacturable quantity Read the manufacturable frame data from the storage device and the means for storing in the storage device, and associate the identifier of the dummy process, which is the identifier of any process information not stored in the process information data, with the identifier of the manufacturable product item Means for storing the dummy process data in the storage device, and reading the dummy process data from the storage device and inserting it into the process information data A record that associates a date based on the production date of the manufacturable frame data with the identifier of the dummy process as an operation date, and reads out the manufacturable frame data and the dummy process data from the storage unit Based on the instruction from the input device and the means for inserting the data into the storage device and reading out at least the process information data and the working day calendar data from the storage device to calculate the production plan data of the product item Means for storing in a storage device.

  According to the present invention, it is possible to provide a supply chain planning program and a supply chain planning apparatus that output a production plan based on more accurate constraints.

  Next, embodiments of the present invention will be described with reference to the drawings. In the following description of the drawings, the same or similar parts are denoted by the same or similar reference numerals.

(Best Embodiment)
The supply chain planning apparatus 1 according to the preferred embodiment of the present invention is executed in a computer that processes information stored in a register and a storage device when information is input from the input device, and production plan data of product items As shown in FIG. 1, a central processing control device 101 and storage devices 107a and 107b are provided.

  As shown in FIG. 2, a supply chain planning apparatus 1 according to the preferred embodiment of the present invention includes a central processing control device 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, and an input / output interface 109. Are connected via the bus 110. An input device 104, a display device 105, a communication control device 106, a storage device 107, and a removable disk 108 are connected to the input / output interface 109.

  The central processing control device 101 reads out and executes a boot program for starting up the supply chain planning device 1 from the ROM 102 based on an input signal from the input device 104, and further reads out an operating system stored in the storage device 107. Further, the central processing control device 101 controls various devices based on input signals from the input device 104, the communication control device 106, etc., and reads programs and data stored in the RAM 103, the storage device 107, etc. into the RAM 103. A processing device that loads and implements a series of processes to be described later, such as data calculation or processing, based on a program command read from the RAM 103.

  The input device 104 includes input devices such as a keyboard and a mouse through which an operator inputs various operations. The input device 104 generates an input signal based on the operation of the operator, and inputs via the input / output interface 109 and the bus 110. It is transmitted to the central processing control apparatus 101. The display device 105 is a CRT (Cathode Ray Tube) display, a liquid crystal display, or the like. The display device 105 receives an output signal to be displayed on the display device 105 from the central processing control device 101 via the bus 110 and the input / output interface 109. It is a device that displays the processing result of the control device 101 and the like. The communication control device 106 is a device such as a LAN card or a modem, and is a device that connects the supply chain planning device 1 to a communication network such as the Internet or a LAN. Data transmitted / received to / from the communication network via the communication control device 106 is transmitted / received to / from the central processing control device 101 via the input / output interface and bus 110 as an input signal or an output signal.

  The storage device 107 is a semiconductor storage device or a magnetic disk device, and stores programs and data executed by the central processing control device 101. The removable disk 108 is an optical disk or a flexible disk, and signals read / written by the disk drive are transmitted / received to / from the central processing control apparatus 101 via the input / output interface 109 and the bus 110.

  The storage device 107 of the supply chain planning apparatus 1 according to the preferred embodiment of the present invention stores a supply chain planning program, as well as item master data 31, work day calendar data 32, part configuration data 33, process information. Data 34, purchase order data 35, product inventory data 36, parts inventory data 37, final order data 38, estimated sales data 39, final production plan data 40, shipment plan data 51, production plan data 52, and manufacturable frame data 53. Remembered. The supply chain planning program 11 is read by the central processing control device 101 of the supply chain planning device 1 and executed in cooperation with the operation system, so that the supply chain planning unit 11 and the manufacturable frame generating unit 12 are supplied with the supply chain planning unit. It is mounted on the device 1.

  In FIG. 1, data is stored in the storage devices 107a and 107b, respectively. However, these data may be stored in a plurality of storage devices, or may be stored in a single storage device. The supply chain planning apparatus 1 according to the best embodiment of the present invention may be mounted on a single hardware computer or may be mounted on a plurality of hardware computers. Specifically, each data stored in each of the storage devices 107a and 107b in FIG. 1 may be stored in a storage device mounted on a different computer capable of transmitting and receiving data via the communication control device 106 and the like.

  The item master data 31 stores information on product items or parts items managed by the supply chain planning apparatus 1 according to the preferred embodiment of the present invention. Specifically, the item master data 31 includes product item identifier, delivery lead time, delivery unit, etc. as product item information, and part item identifier, purchase lead time, purchase unit, etc. as part item information. Is remembered.

The working day calendar data 32 is information in which the working day of the production line managed by the supply chain planning apparatus 1 according to the preferred embodiment of the present invention is stored. The working day calendar data 32 is information in which the working day of the manufacturing process is associated with the identifier of the process information. For example, the working day calendar data 32 is associated with a general calendar day and a flag indicating the working day of the production line and the daily working day. This operating day may be set for each manufacturing process or manufacturing apparatus, and may further relate to the operating time of the manufacturing process or manufacturing apparatus.
The part configuration data 33 is also called BOM (bill of material), and is information in which a part item constituting a product item and its quantity are associated with each other.

  The process information data 34 stores information that associates the identifier of the product item stored in the item master data 31 with the identifier of the manufacturing process for manufacturing the product item. Furthermore, the information regarding the process capability in the manufacturing process may be related. In order to manufacture a certain product item, for example, passing through a drilling process, a polishing process, and a packaging process is stored in the process information data 34. The process information data 34 may be associated with a manufacturing apparatus used in each manufacturing process and a process capability of the manufacturing apparatus.

  The purchase order data 35 stores purchase orders that have already been ordered from parts suppliers and the like with respect to part items necessary for manufacturing product items. For example, in the purchase order data 35, the delivery date of the part item and the delivery quantity are associated with the identifier of the part item.

  The product inventory data 36 stores data of product items that are already manufactured and stocked in a warehouse or the like. For example, the product inventory data 36 is associated with product item identifiers, inventory warehouse identifiers, inventory quantities, and the like.

  The parts inventory data 37 stores data related to parts items delivered from parts suppliers and the like and stocked in warehouses. For example, the part inventory data 37 is associated with an identifier of a part item, an identifier of an inventory warehouse, an inventory quantity, and the like.

  The confirmed order data 38 stores data related to orders already confirmed for the product items managed by the supply chain planning apparatus 1 according to the preferred embodiment of the present invention. For example, in the final order data 38, product item identifiers, delivery dates, delivery quantities, delivery destinations, and the like are associated and stored.

  The prospective sales data 39 stores data related to expected sales based on market trends and the like. For example, the sales prospect data 39 stores an identifier of a product item expected to be sold, a sales time, a sales quantity, and the like in association with each other.

  The confirmed production plan data 40 stores the confirmed production plan data 40 that has already been calculated and confirmed by the supply chain planning apparatus 1. For example, the final production plan data 40 stores an identifier, a manufacturing time, a manufacturing quantity, and the like of a product item whose production has been fixed in the production plan in association with each other.

  The supply chain planning unit 11 includes item master data 31, operation day calendar data 32, part configuration data 33, process information data 34, purchase order data 35, product inventory data 36, part inventory data 37 stored in the storage device 107 a, The final order data 38, the sales prospect data 39, and the final production plan data 40 are read out, the time and quantity for manufacturing or shipping the product are calculated, the shipping plan data 51, the production plan data 52, etc. are generated and stored in the storage device 107b. It is a means to memorize. Further, the supply chain planning unit 11 of the supply chain planning apparatus 1 according to the best mode of the present invention further reads out the manufacturable frame data 53 described later as input data, and determines the time and quantity for manufacturing or shipping the product item. By calculating, the shipping plan data 51 and the production plan data 52 are generated.

  The supply chain planning unit 11 is executed periodically or based on an instruction from the input device. The supply chain planning unit 11 outputs, for example, production plan data 52 for three months every other week.

  The manufacturable frame generation unit 12 reads the shipping plan data 51 and the production plan data 52 output by the supply chain planning unit 11 from the storage device 107b, and can manufacture and manufacture each product item identifier. This is a means for calculating the quantity, generating the manufacturable frame data 53 in which the identifier of the manufacturable product item, the date of manufacture of the product item and the manufacturable quantity are associated with each other, and storing the data in the storage device 107b. In this way, the manufacturable frame data 53 takes into account factors such as the procurement status and inventory status of parts, the process capability of products, and the operating time of manufacturing equipment. The manufacturable frame data 53 output by the manufacturable frame generation unit 12 is corrected by a person in charge of purchasing a part or a person in charge of a manufacturing line in consideration of a part purchasing lead time, a process capability, or the like.

  Here, the manufacturable frame data is a numerical value that is managed in the factory or company-wide, and for each specific fixed period unit, specifically, if it is a daily unit, what month, what day, weekly unit If so, it is data indicating how many weeks in which month and how many units can be manufactured for each product item. In the factory to manufacture, if a production instruction with a numerical value less than the manufacturable frame quantity is input, it is possible to manufacture a product according to the production instruction without delay. However, when a production instruction for the number of units that are more than the manufacturable frame quantity is entered, basically, the manufacturable frame quantity is accepted as the upper limit, and operations exceeding the manufacturable frame quantity are not accepted. The A confirmed order and a sales potential quantity are linked to the manufacturable frame data 53 as a demand. If the demand falls below the manufacturable frame quantity, a production plan for only the demand is output to the production line.

  In the supply chain planning apparatus 1 according to the preferred embodiment of the present invention, when the manufacturable frame data 53 created based on the production plan data 52 output in advance by the supply chain planning means 11 is generated, the supply chain New production plan data 52 is output by the planning means 11. Thereby, the supply chain planning apparatus 1 can output the production plan data 52 that does not exceed the number of manufacturable units defined in the manufacturable frame data 53.

  Next, a specific example in which the manufacturable frame data 53 is read as input data of the supply chain planning unit 11 will be described with reference to the first modification and the second modification.

(Modification 1)
The supply chain planning device 1 according to the first modification of the best embodiment of the present invention shown in FIG. 3 is more centralized than the supply chain planning device 1 according to the best embodiment of the present invention shown in FIG. The control device 101 includes a dummy key parts generation unit 13, a dummy key parts addition unit 14, and a dummy key parts dummy purchase order generation unit 15. The difference is that the storage device 107b includes dummy key parts data 54.

  In the first modification of the preferred embodiment of the present invention, it is assumed that the product item managed by the supply chain planning apparatus 1 has a component configuration as shown in FIG. 4, for example. Specifically, the product item A is manufactured from the part item B, the part item C, and the part item D, and the part item B is manufactured from the part item E and the part item F.

  At this time, in the part configuration data 33a, the product item, the part item for manufacturing the product item, and the quantity are stored in association with each other. Specifically, as shown in FIG. 5, the product item A is associated with one part item B, one part item C and one part item D, and is stored in the part configuration data 33a. In the example shown in FIG. 5, only the part item for manufacturing the product item A is described, but the part item for manufacturing the part item may be stored in the part configuration data 33a. Specifically, the component item B may be stored in association with one component item E and one component item F.

  In the purchase order data 35a, the purchase date when the part was purchased, the purchased part item, and the purchased quantity are stored in association with each other. Specifically, as shown in FIG. 6, data on purchasing 50 part item B on 2004/9/15 and 30 part item C on 2004/9/18 is stored in purchase order data 35a.

  The supply chain planning unit 11 reads the data including the part configuration data 33a shown in FIG. 5 and the purchase order data 35a shown in FIG. 6 from the storage device 107a, and generates the shipping plan data 51 and the production plan data 52. And stored in the storage device 107b.

  The manufacturable frame generation means 12 reads the shipping plan data 51 and the production plan data 52 from the storage device 107b, generates manufacturable frame data 53 as shown in FIG. 7, and stores it in the storage device 107b. In the manufacturable frame data 53, a manufacturable production time (manufacturing date), a product item, and a quantity to be manufactured are stored in association with each other. In the example shown in FIG. 7, 100 product items A can be manufactured on 2004/9/25, 100 product items A can be manufactured on 2004/9/26, and 100 product items B can be manufactured on 2004/9/27. It is stored in the manufacturable frame data 53.

  The dummy key parts generation means 13 reads the manufacturable frame data 53 from the storage device 107b, and the dummy key parts that are identifiers of arbitrary part items not stored in the part configuration data 33 as the identifiers of the manufacturable product items. This is means for storing the dummy key parts data 54 associated with the identifier in the storage device 107b.

  For example, as shown in FIG. 4, when the product item A is manufactured by the parts items B, C, and D, the dummy key parts generation unit 13 uses the item master data 31 or the part configuration data 33 as an identifier of the dummy key parts. An optional identifier “part item X” that is not used is output. Further, the dummy key parts generation means 13 associates the product item A with the part item X which is the identifier of the dummy key part, and stores it as the dummy key part data 54 in the storage device 107b.

  The dummy key parts adding means 14 is means for reading the dummy key parts data 54 from the storage device 107b, inserting it into the component configuration data 33a, generating the component configuration data 33b, and storing it in the storage device 107a. Specifically, as shown in FIG. 8, a part item X which is a dummy key part is added as a part constituting the product item A. At this time, as shown in FIG. 9, a record in which the product item A and the component item X that is a dummy key part are associated is inserted in the inserted component configuration data 33b.

  The dummy key parts dummy purchase order generation means 15 reads the manufacturable frame data 53 and the dummy key parts data 54 from the storage device 107b, and manufactures the manufacturable frame data 53 as the purchase date of the part item in the identifier of the dummy key parts. A record in which the date based on the date and the quantity based on the manufacturable quantity of the manufacturable frame data 53 as the delivery quantity of the part item is associated is inserted into the purchase order data 35a, and the purchase order data 35b is generated and stored. Store in 107a. More specifically, the dummy key parts dummy purchase order generation means 15 associates the end of working day before the manufacturing date of the manufacturable frame data as the purchase date of the part item. In this way, by inserting a dummy purchase order record of a dummy key part indicating that the dummy key part is delivered on the day before the manufacturing date into the purchase order data 35, the manufactureable frame data 53 is displayed on the day of the manufacturing date. The product items for the manufacturable frame quantity set in (1) can be made manufacturable.

  Specifically, in the case of the manufacturable frame data 53 shown in FIG. 7, it is stored that 100 items can be manufactured in 2004/9/25 and 120 items in 2004/9/26 can be manufactured. Yes. In this case, as shown in FIG. 10, with respect to the record in which 100 items can be manufactured in 2004/9/25 for the product item A in the manufacturable frame data 53, the purchase order data 35b includes the date 2004 / A record in which 100 parts item X is delivered at the end of 9/24 is inserted. Furthermore, in the manufacturable frame data 53, for the record that enables 120 items to be manufactured on 2004/9/26 for the product item A, 12 items are recorded in the purchase order data 35b at the end of 2004/9/25, which is the day before the manufacturing date. A record to which the parts item X is delivered is inserted. Similarly, a record is inserted into the purchase order data 35b for the product item B.

  The supply chain planning unit 11 reads the purchase order data 35b in which the generated dummy purchase order is inserted based on the manufacturable frame data 53 output by the previous supply chain planning unit 11 from the storage device 107a, and produces the production plan data 52. Is output. As a result, the production plan data 52 is output within a range not exceeding the manufacturable quantity set in the manufacturable frame data 53.

Next, with reference to FIG. 11, the process of the supply chain planning apparatus 1 which concerns on the modification 1 of the best embodiment of this invention is demonstrated.
First, in step S101, supply chain planning processing is executed by the supply chain planning means 11, and shipping plan data 51 and production plan data 52 are output. In step S <b> 102, the manufacturable frame generation unit 12 executes manufacturable frame generation processing based on the production plan data 52 and outputs manufacturable frame data 53.

  Further, in step S103, the manufacturable frame data 53 is read out, and the processes in steps S104 to S108 are performed for all records of the manufacturable frame data 53 associated with the manufacturable production date, product item, and manufacturable quantity. Execute.

  Specifically, in step S104, dummy key parts identifiers are assigned by the dummy key parts generation means 13 for the product items of the read record. At this time, the item master data 31, the component configuration data 33, etc. are read by the dummy key parts generation means 13, and the identifiers of the component items that are not already used are numbered as the identifiers of the dummy key parts. Further, in step S105, the dummy key parts generating means 13 outputs dummy key parts data 54 in which the product item and the identifier of the dummy key parts are associated with each other.

  In step S <b> 106, the dummy key parts adding unit 14 inserts the dummy key parts data 54 into the component configuration data 33.

  Next, in step S107, a dummy purchase order record is generated in which the work day before the manufacturing date of the manufacturable frame data 53, the manufacturable quantity, and the identifier of the dummy key part are associated with each other. Here, the dummy purchase order record is a purchase order corresponding to the manufacturable frame quantity of dummy key parts set in units of days or weeks based on the time unit (manufacturing date or manufacturing week) set in the manufacturable frame. Is a record indicating. For example, when the manufacturable frame data 53 is set on a daily basis, the dummy purchase order record is that dummy key parts of the manufacturable quantity are delivered on the working day before the manufacturing date of the manufacturable frame data 53. Indicates. The dummy purchase order record generated in step S207 is inserted into the purchase order data 35 in step S108.

  The processing from step S104 to step S108 is executed for all the records of the manufacturable frame data 53 read in step S103. Further, in step S109, the supply chain planning apparatus 1 waits for execution of the next supply chain planning process.

  In this manner, a record indicating that parts for manufacturing a product item corresponding to the manufacturable quantity are delivered to the purchase order data 35 on the operating day before the manufacturing date of the manufacturable frame data 53. Therefore, when the supply chain planning unit 11 is executed next time, a production plan exceeding the manufacturable quantity set in the manufacturable frame data 53 is not output on the date of manufacture.

  In the example of FIG. 11, the case has been described in which the dummy key part identifier is not associated with the product item and the dummy key part is newly inserted into the component configuration data 33 in steps S <b> 104 to S <b> 106. On the other hand, when the record in which the product item of the read record and the identifier of the dummy key part are associated with each other is already inserted in the component configuration data 33, the processing from step S104 to step S106 may be omitted. In this manner, the dummy key parts are set for each product item or product item group which is a manufacturable frame setting unit.

  As described above, in the first modification of the best mode of the present invention, a dummy purchase order for dummy key parts is created based on the manufacturable frame data and used as a material constraint. It can be the upper limit of the production plan.

  Specifically, the purchase order data 35 in the supply chain planning apparatus 1 according to the first modification of the best mode of the present invention includes the manufacturable quantity of the manufacturable frame data 53 output by the manufacturable frame generation means 12. A record is inserted indicating that only parts will be delivered the day before the manufacturing date. Therefore, in the supply chain planning means, manufacturable frame data can be considered as material constraints. As a result, the supply chain planning apparatus 1 according to the first modification of the preferred embodiment of the present invention generates the production plan data 52 that produces more than the manufacturable quantity on the production date set in the manufacturable frame data 53. It cannot be output.

  Therefore, the supply chain planning apparatus 1 according to the first modification of the preferred embodiment of the present invention can output the production plan data 52 that complies with the manufacturable frame data 53.

(Modification 2)
The supply chain planning apparatus 1 according to the second modification of the best embodiment of the present invention shown in FIG. 12 is compared with the supply chain planning apparatus 1 according to the best embodiment of the present invention shown in FIG. The control device 101 is different in that it includes a dummy process generation means 16, a dummy process addition means 17, a dummy process working day calendar update means 18, and dummy process data 55.

  In the second modification of the preferred embodiment of the present invention, the process information data 34a stores the product item identifier in association with the manufacturing process and the process capability in the manufacturing process. Here, the process capacity is a production capacity for each process, and is indicated by a manufacturable quantity per unit time. Specifically, as shown in FIG. 13, the first process, the second process, and the third process are associated with the product item A, and the process capacity of the first process is 10 per hour, the second process. The process capability of 20 is associated with 20 per hour, and the process capability of the third process is associated with 15 per hour.

  In the working day calendar data 32a, a process and its working time are associated with each other and stored. Here, the identifier of the product item may be further associated, and the operation time on the operation day may be associated with each process of the product item. Specifically, for example, as shown in FIG. 14, a record in which the operation time of the third process of the product item A is set to 7 hours on the operation day 2004/9/22 is stored in the operation day calendar data 32a.

  The dummy process generation means 16 reads the manufacturable frame data from the storage device 107b, and assigns the identifier of the dummy process, which is an identifier of any process information not stored in the process information data 34a, to the identifier of the manufacturable product item. This is means for storing the associated dummy process data 55 in the storage device 107b. This dummy process is inserted as the final process of the manufacturing process for manufacturing this product item.

  For example, when the product item A is manufactured through the first process, the second process, and the third process as shown in FIG. 13, the dummy process generation means 16 is used in the process information data 34a as an identifier of the dummy process. An optional identifier “X process” is calculated. Further, the dummy process generation means 16 associates the product item A with the X process that is the identifier of the dummy process, and stores it in the storage device 107 b as dummy process data 55. For example, the X process may be a process such as an inspection process for inspecting a finished product on the production line.

  The dummy process adding means 17 is means for reading out the dummy process data 55 from the storage device 107b, inserting it into the process information data 34a, generating process information data 34b, and storing it in the storage device 107a. The dummy process data 55 is preferably stored in the storage device 107b in association with an arbitrary process capability in the process. Here, “arbitrary process capability” is a numerical value based on the correlation with the operation time in the dummy process described later. For example, as shown in FIG. 15, in the updated process information data 34b, a record in which the product item A is associated with the X process and its process capability is inserted.

  The dummy process working day calendar update means 18 reads the manufacturable frame data 53 and the dummy process data 55 from the storage device 107b, and associates the date based on the manufacturing date of the manufacturable frame data with the dummy process identifier as the working day. The record is inserted into the working day calendar data 32a and stored in the storage device 107a. More specifically, the dummy process working day calendar update unit 18 reads the manufacturable frame data 53 and the dummy process data 55 from the storage device 107b, and uses the manufacturing date of the manufacturable frame data 53 as the working day in the dummy process identifier. Then, a record relating the time obtained by dividing the manufacturable quantity by an arbitrary process capability as the operation time is inserted into the operation day calendar data 32a, and the operation day calendar data 32b is generated and stored in the storage device 107a. In this manner, by inserting a record indicating that the dummy process is executed on the manufacturing date into the working day calendar, the manufacturing date set in the manufacturing date frame data 53 can be set. It is possible to manufacture the product items for the frame quantity. At this time, the number obtained by multiplying the process capability stored in the process information data 34 and the operation time stored in the operation day calendar data 32 b is equal to or greater than the manufacturable quantity of the manufacturable frame data 53.

  Specifically, the manufacturable frame data 53 shown in FIG. 7 stores that 100 items can be manufactured for 2004/9/25 and 120 items can be manufactured for 2004/9/26, respectively. Yes. On the other hand, the process information data 34b shown in FIG. 15 stores 10 pieces per hour as the process capability of the X process of the product item. In this case, as shown in FIG. 16, with respect to a record in which 100 items can be manufactured in 2004/9/25 for the product item A in the manufacturable frame data 53, the production date 2004/9 is shown in the working day calendar data 32b. / 25 inserts a record indicating that the X process of the product item A is operated for 10 hours, specifically, that 100 product items A are manufactured. Furthermore, in the manufacturable frame data 53, with respect to a record in which 120 products can be manufactured on 2004/9/26 for the product item A, the X of the product item A is displayed on the operating date calendar data 32b on the manufacturing date 2004/9/26. A record indicating that the process is operated for 12 hours, specifically, that 120 product items A are manufactured, is inserted. Similarly, the product item B is inserted into the purchase order data 35b.

  The supply chain planning unit 11 reads the working day calendar data 32b in which the dummy process is inserted based on the manufacturable frame data 53 output by the previous supply chain planning unit 11 and outputs the production plan data 52. As a result, the production plan data 52 is output within a range not exceeding the manufacturable quantity set in the manufacturable frame data 53.

Next, with reference to FIG. 17, the process of the supply chain planning apparatus 1 which concerns on the modification 2 of the best embodiment of this invention is demonstrated.
First, in step S201, the supply chain planning unit 11 executes a supply chain planning process, and outputs shipping plan data 51 and production plan data 52. In step S202, the manufacturable frame generation unit 12 executes manufacturable frame generation processing based on the production plan data 52, and the manufacturable frame data 53 is output.

  Furthermore, in step S203, the manufacturable frame data 53 is read out, and the processes in steps S204 to S208 are performed for all records of the manufacturable frame data 53 associated with the manufacturable production date, product item, and manufacturable quantity. Execute.

  Specifically, in step S204, the dummy process identifier is assigned by the dummy process generation means 16 for the product item of the read record. At this time, the process information data 34a and the like are read by the dummy process generation means 16, and the identifiers of the component items that are not already used are numbered as the dummy process identifiers. Further, the dummy process generation means 16 outputs dummy process data 55 in which the product item and the dummy process identifier are associated with each other in step S205.

  In step S <b> 206, dummy process data 55 is inserted into the process information data 34 by the dummy process adding means 17. At this time, an arbitrary process capability in the dummy process is also associated and inserted into the process information data 34.

  Next, in step S207, a dummy process work day record is generated in which the production date of the manufacturable frame data 53 is associated with the operation time based on the manufacturable quantity and the identifier of the dummy process.

  The processing from step S204 to step S208 is executed for all records of manufacturable frame data read in step S203. Further, in step S209, the supply chain planning apparatus 1 waits for execution of the next supply chain planning process.

  In this manner, a record indicating that a process for manufacturing a product item corresponding to a manufacturable quantity is in operation on the date of manufacture of the manufacturable frame data 53 is inserted into the work day calendar data 32. Therefore, when the supply chain planning unit 11 is executed next time, a production plan exceeding the manufacturable quantity set in the manufacturable frame data 53 is not output on the date of manufacture.

  In the example of FIG. 17, a case has been described in which the dummy process identifier is not associated with the product item and a dummy process is newly inserted into the process information data 34 in steps S204 to S206. On the other hand, when a record in which the product item of the read record is associated with the identifier of the dummy process has already been inserted in the process information data 34, the processes in steps S204 to S206 may be omitted. As described above, the dummy process is set for each product item or product item group which is a manufacturable frame setting unit.

  As described above, in the second modification of the best embodiment of the present invention, a dummy process working day record of a dummy process is created based on the manufacturable frame data, and is used as a capacity constraint. Can be the upper limit of the production plan.

  Specifically, the work day calendar data 35 in the supply chain planning apparatus 1 according to the first modification of the best mode of the present invention is manufactured in the manufacturable frame data 53 output by the manufacturable frame generation unit 12. A record relating to the working date of the dummy process indicating that only a possible quantity can be produced is inserted. Therefore, in the supply chain planning unit 11, the manufacturable frame data can be considered as a capacity constraint. As a result, the supply chain planning apparatus 1 according to the second modification of the preferred embodiment of the present invention generates the production plan data 52 that produces more than the manufacturable quantity on the production date set in the manufacturable frame data 53. It cannot be output.

  Therefore, the supply chain planning apparatus 1 according to the second modification of the preferred embodiment of the present invention can output the production plan data 52 that complies with the manufacturable frame data 53.

(Other embodiments)
As described above, the present invention has been described according to the best mode for carrying out the invention. However, it should not be understood that the description and drawings constituting a part of this disclosure limit the present invention. From this disclosure, various alternative embodiments, examples, and operational techniques will be apparent to those skilled in the art.

  It goes without saying that the present invention includes various embodiments not described herein. Therefore, the technical scope of the present invention is defined only by the invention specifying matters according to the scope of claims reasonable from the above description.

1 is a functional block diagram of a supply chain planning apparatus according to a best embodiment of the present invention. It is a hardware block diagram of the supply chain planning apparatus which concerns on the best embodiment of this invention. It is a functional block diagram of the supply chain planning apparatus which concerns on the modification 1 of the best embodiment of this invention. In the modification 1 of the best embodiment of this invention, it is a schematic diagram which shows the components structure before inserting a dummy key part. It is a figure which shows an example of the data structure and data of component structure data before inserting a dummy key part in the modification 1 of the best embodiment of this invention. FIG. 11 is a diagram showing an example of data structure and data of purchase order data before inserting dummy key parts in Modification 1 of the best mode for carrying out the present invention. FIG. 10 is a diagram illustrating an example of data structure and data of manufacturable frame data output before inserting a dummy key part in Modification 1 of the best embodiment of the present invention. In the modification 1 of the best embodiment of this invention, it is a schematic diagram which shows the components structure after inserting a dummy key part. It is a figure which shows an example of the data structure and data of component structure data after inserting a dummy key part in the modification 1 of the best embodiment of this invention. It is a figure which shows an example of the data structure and data of purchase order data after inserting a dummy key part in the modification 1 of the best embodiment of this invention. It is a flowchart explaining the process of the supply chain planning apparatus which concerns on the modification 1 of the best embodiment of this invention. It is a functional block diagram of the supply chain planning apparatus which concerns on the modification 2 of the best embodiment of this invention. It is a figure which shows an example of the data structure and data of process information data before inserting a dummy process in the modification 2 of the best embodiment of this invention. It is a figure which shows an example of the data structure and data of work day calendar data before inserting a dummy process in the modification 2 of the best embodiment of this invention. In the modification 2 of the best embodiment of this invention, it is a figure which shows an example of the data structure and data of process information data after inserting a dummy process. In the modification 2 of the best embodiment of this invention, it is a figure which shows an example of the data structure and data of work day calendar data after inserting a dummy process. It is a flowchart explaining the process of the supply chain planning apparatus which concerns on the modification 2 of best embodiment of this invention. It is a functional block diagram of the conventional supply chain planning apparatus.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1,901 ... Supply chain planning apparatus 11, 911 ... Supply chain planning means, 12 ... Manufacturable frame production | generation means, 13 ... Dummy key part production | generation means, 14 ... Dummy key part addition means, 15 ... Dummy key parts dummy purchase order Generating means, 16 ... dummy process generating means, 17 ... dummy process adding means, 18 ... dummy process working day calendar updating means, 31, 931 ... item master data, 32, 32a, 32b, 932 ... working day calendar data, 33, 33a, 33b, 933 ... part configuration data, 34, 34a, 34b, 934 ... process information data, 35, 35a, 35b, 935 ... purchase order data, 36, 936 ... product inventory data, 37, 937 ... parts inventory data, 38, 938 ... Final order data, 39, 939 ... Expected sales 40, 940... Final production plan data 51, 951... Shipment plan data 52, 952. Production plan data 53. Manufacturable frame data 54. Dummy key part data 55. Dummy process data 101. Central processing control device, 102 ... ROM, 103 ... RAM, 104 ... input device, 105 ... display device, 106 ... communication control device 107, 107a, 107b, 907a, 907b ... storage device, 108 ... removable disk, 109 ... input / output Interface, 110 ... Bus

Claims (6)

When information is input from the input device, it is executed in a computer that processes the information while storing the information in a register and a storage device, and in a supply chain planning program for calculating production plan data of a product item,
Means for storing, in a storage device, part configuration data in which a part item constituting the product item is associated with the identifier of the product item;
Means for storing, in the storage device, purchase order data in which a delivery date and a delivery quantity of the part item are associated with the identifier of the part item;
Means for storing, in the storage device, an identifier of a product item that can be manufactured, and manufacturable frame data that associates a manufacturing date and a manufacturable quantity of the product item
A dummy key that reads out the manufacturable frame data from the storage device and associates an identifier of a dummy key part that is an identifier of an arbitrary part item not stored in the part configuration data with an identifier of the manufacturable product item Means for storing part data in the storage device;
Means for reading out dummy key parts data from the storage device, inserting it into the component configuration data and storing it in the storage device;
The manufacturable frame data and the dummy key part data are read from the storage device, and the date based on the date of manufacture of the manufacturable frame data as the date of purchase of the component item is specified in the identifier of the dummy key part, and the component item Means for associating a record associated with a quantity based on the manufacturable quantity of the manufacturable frame data as a delivery quantity of the purchase order data and storing it in the storage device;
Based on an instruction from the input device, means for reading at least the part configuration data and the purchase order data from the storage device, calculating production plan data of the product item, and storing the data in the storage device is realized. Therefore, a supply chain planning program executed on the computer. The means for inserting into the purchase order data and storing it in the storage device reads the manufacturable frame data and the dummy key part data from the storage device, and uses the identifier of the dummy key part as the purchase date of the part item. A record associating the operation date before the manufacturing date of the manufacturable frame data with the manufacturable quantity of the manufacturable frame data as the delivery quantity of the part item is inserted into the purchase order data and stored in the storage device. The supply chain planning program according to claim 1, wherein the supply chain planning program is a storage unit. When information is input from the input device, it is executed in a computer that processes the information while storing the information in a register and a storage device, and in a supply chain planning program for calculating production plan data of a product item,
Means for storing, in a storage device, process information data in which an identifier of a manufacturing process for manufacturing the product item is associated with the identifier of the product item;
Means for storing, in the storage device, working day calendar data in which the working day of the manufacturing process is associated with the identifier of the process information;
Means for storing, in the storage device, an identifier of a product item that can be manufactured, and manufacturable frame data that associates a manufacturing date and a manufacturable quantity of the product item;
Dummy process data in which the manufacturable frame data is read from the storage device, and an identifier of a dummy process that is an identifier of arbitrary process information not stored in the process information data is associated with an identifier of the manufacturable product item Means for storing in the storage device;
Means for reading out dummy process data from the storage device, inserting it into the process information data and storing it in the storage device;
The manufacturable frame data and the dummy process data are read from the storage device, and a record in which the dummy process identifier is associated with the date based on the date of manufacture of the manufacturable frame data as the operation date is recorded as the operation date. Means for inserting into calendar data and storing in the storage device;
Based on an instruction from the input device, means for reading at least the process information data and the working day calendar data from the storage device, calculating production plan data of the product item, and storing the data in the storage device is realized. A supply chain planning program that is executed by the computer. Means for storing work day calendar data in the storage device is means for storing, in the storage device, work day calendar data associating the work day and the work time of the manufacturing process with the identifier of the process information.
The means for storing the process information data in the storage device stores the process information data in the storage device in which the identifier of the product item is associated with the identifier of the manufacturing process for manufacturing the product item and the process capability of the manufacturing process. Because
The means for storing the dummy process data in the storage device reads out the manufacturable frame data from the storage device, and any process information that is not stored in the process information data in the identifier of the manufacturable product item Means for storing dummy process data associated with an identifier of a dummy process, which is an identifier of the process, and an arbitrary process capability in the storage device, the means for inserting into the work day calendar data and storing the dummy process data in the storage device, The manufacturable frame data and the dummy process data are read from the storage device, and the date based on the date of manufacture of the manufacturable frame data as the operation date and the manufacturable quantity as the operation time are set in the identifier of the dummy process. A record relating the time divided by the arbitrary process capability is inserted into the work day calendar data and stored in the storage device. The supply chain planning program according to claim 1, wherein the supply chain planning program is a storage unit. When information is input from the input device, it is executed in a computer that processes the information while storing the information in a register and a storage device, and in a supply chain planning device that calculates production plan data of a product item,
Means for storing, in a storage device, part configuration data in which a part item constituting the product item is associated with the identifier of the product item;
Means for storing, in the storage device, purchase order data in which a delivery date and a delivery quantity of the part item are associated with the identifier of the part item;
Means for storing, in the storage device, an identifier of a product item that can be manufactured, and manufacturable frame data that associates a manufacturing date and a manufacturable quantity of the product item;
A dummy key that reads out the manufacturable frame data from the storage device and associates an identifier of a dummy key part that is an identifier of an arbitrary part item not stored in the part configuration data with an identifier of the manufacturable product item Means for storing part data in the storage device;
Means for reading out dummy key parts data from the storage device, inserting it into the component configuration data and storing it in the storage device;
The manufacturable frame data and the dummy key part data are read from the storage device, and the date based on the date of manufacture of the manufacturable frame data as the date of purchase of the component item is specified in the identifier of the dummy key part, and the component item Means for associating a record associated with a quantity based on the manufacturable quantity of the manufacturable frame data as a delivery quantity of the purchase order data and storing it in the storage device;
Means for reading at least the component configuration data and the purchase order data from the storage device based on an instruction from the input device, calculating production plan data of the product item, and storing the data in the storage device; Supply chain planning device characterized by that. When information is input from the input device, it is executed in a computer that processes the information while storing the information in a register and a storage device, and in a supply chain planning device that calculates production plan data of a product item,
Means for storing, in a storage device, process information data in which an identifier of a manufacturing process for manufacturing the product item is associated with the identifier of the product item;
Means for storing, in the storage device, working day calendar data in which the working day of the manufacturing process is associated with the identifier of the process information;
Means for storing, in the storage device, an identifier of a product item that can be manufactured, and manufacturable frame data that associates a manufacturing date and a manufacturable quantity of the product item;
Dummy process data in which the manufacturable frame data is read from the storage device, and an identifier of a dummy process that is an identifier of arbitrary process information not stored in the process information data is associated with an identifier of the manufacturable product item Means for storing in the storage device;
Means for reading out dummy process data from the storage device, inserting it into the process information data and storing it in the storage device;
The manufacturable frame data and the dummy process data are read from the storage device, and a record in which the dummy process identifier is associated with the date based on the date of manufacture of the manufacturable frame data as the operation date is recorded as the operation date. Means for inserting into calendar data and storing in the storage device;
Based on an instruction from an input device, means for reading at least the process information data and the work day calendar data from the storage device, calculating production plan data for the product item, and storing the data in the storage device. A supply chain planning device comprising:

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