CN115023718A

CN115023718A - Lead time calculation device, lead time calculation method, and program

Info

Publication number: CN115023718A
Application number: CN202180012039.3A
Authority: CN
Inventors: 辻泰成; 水野皓司
Original assignee: Mitsubishi Electric Corp
Current assignee: Mitsubishi Electric Corp
Priority date: 2020-02-07
Filing date: 2021-01-25
Publication date: 2022-09-06
Also published as: WO2021157412A1; JP7221426B2; JPWO2021157412A1

Abstract

When the quantity of the item requested to the supplier changes due to a change in the plan, a following rate calculation unit (120) calculates a following rate indicating the ratio of the quantity supplied by the supplier to the changed quantity, based on the delivery performance of the supplier. A variation rate calculation unit (130) calculates a variation rate of the number of purchased articles in the current plan and the previous plan. A sufficiency rate calculation unit (140) calculates the sufficiency rate of the items currently planned, based on the calculated follow-up rate and change rate. A delivery date calculation unit (160) calculates the delivery date of the product using the article based on the calculated abundance ratio. A delivery date display unit (170) displays delivery date information indicating the calculated delivery date.

Description

Lead time calculation device, lead time calculation method, and program

Technical Field

The present disclosure relates to a lead time calculation device, a lead time calculation method, and a program.

Background

In order for a manufacturer who manufactures a product to comply with a lead time requested by a customer, it is necessary to improve the accuracy of answering the lead time of the customer, and it is indispensable to use an information processing system including a computer device.

As an example of such an information processing system, patent document 1 discloses a delivery date management system including a sales terminal operated by a clerk who performs sales, a delivery date management terminal operated by a clerk who performs management of delivery dates of products, and a parts procurement management terminal operated by a clerk who performs parts procurement. In the delivery date management system described in patent document 1, when the business terminal determines that the delivery date received from the delivery date management terminal is appropriate, the order information is transmitted to the delivery date management terminal, and the order is determined to be accepted based on the order information received by the delivery date management terminal. In the delivery date management system described in patent document 1, when the delivery date management terminal receives a delivery date survey request from a business terminal, the delivery date is calculated based on a component purchase response received from the component purchase management terminal. In patent document 1, the term of arrival of the component having the longest term of arrival is exemplified as the response to the component purchase.

Documents of the prior art

Patent document

Patent document 1: japanese patent laid-open publication No. 2002-73936

Disclosure of Invention

The lead time management system described in patent document 1 calculates the lead time from the lead time limit of the component at the time of the delivery time survey request, and does not consider the change in the lead time limit of the component after the delivery time survey request. Therefore, for example, when the required amount of parts increases due to an increase in the total order receiving amount caused by other orders receiving after the order receiving is determined, and the supply of parts from the supplier cannot catch up, and there is a possibility that the delivery deadline may be delayed, there is a problem that the accuracy of the calculated delivery deadline becomes low.

The present disclosure has been made in view of the above circumstances, and an object thereof is to improve the accuracy of the delivery date of the answering client.

In order to achieve the above object, a lead time calculation device according to the present disclosure includes a follow-up rate calculation unit, a variation rate calculation unit, a sufficiency rate calculation unit, a lead time calculation unit, and a lead time display unit. When the quantity of the item requested from the supplier changes due to a change in the plan, the following rate calculation unit calculates a following rate indicating a ratio of the quantity supplied from the supplier to the changed quantity, based on delivery results of the supplier. The variation rate calculation unit calculates a variation rate of the number of purchased items based on the number of purchased items in the current plan and the number of purchased items in a plan immediately preceding the current plan. The sufficiency rate calculating unit calculates the sufficiency rate of the item on the current plan, based on the following rate calculated by the following rate calculating unit and the variation rate calculated by the variation rate calculating unit. The delivery date calculation unit calculates a delivery date of the product using the article based on the sufficiency calculated by the sufficiency calculation unit. The lead time display unit displays lead time information indicating the lead time calculated by the lead time calculation unit.

According to the present disclosure, the sufficiency rate of the item based on the change rate of the following rate of the change of the supplier to the plan and the change rate of the number of purchased items can be calculated, and the delivery date of the product using the item can be calculated from the calculated sufficiency rate of the item. As a result, the delivery date accuracy of the answering client can be improved.

Drawings

Fig. 1 is a diagram illustrating a functional configuration of a lead time calculation device according to an embodiment of the present disclosure.

Fig. 2 is a block diagram showing a hardware configuration of the lead time calculation device according to the present embodiment.

Fig. 3A is a diagram showing an example of display of order acceptance information according to the present embodiment.

Fig. 3B is a diagram showing an example of display of product master information according to the present embodiment.

Fig. 3C is a diagram showing an example of display of the article master information according to the present embodiment.

Fig. 4A is a diagram showing an example of display of product stock information according to the present embodiment.

Fig. 4B is a diagram showing an example of display of the item inventory information according to the present embodiment.

Fig. 4C is a diagram showing a display example of order surplus information according to the present embodiment.

Fig. 4D is a diagram showing an example of display of delivery result information according to the present embodiment.

Fig. 5A is a diagram showing an example of display of production plan information according to the present embodiment.

Fig. 5B is a diagram showing an example of display of the procurement plan information according to the present embodiment.

Fig. 5C is a diagram showing an example of display of the assembly plan information according to the present embodiment.

Fig. 6A is a diagram showing a display example of the attachment sufficiency information according to the present embodiment.

Fig. 6B is a diagram showing an example of display of the item abundance ratio information according to the present embodiment.

Fig. 6C is a diagram showing an example of display of input information according to the present embodiment.

Fig. 7 is a graph showing the relationship between the change in the purchase quantity and the supply quantity due to the change in the plan according to the present embodiment.

Fig. 8 is a diagram showing an example of display of a lead time calculation result screen according to the present embodiment.

Fig. 9 is a flowchart showing a flow of the following rate calculation processing according to the present embodiment.

Fig. 10 is a flowchart showing a flow of the schedule change process according to the present embodiment.

Fig. 11 is a flowchart showing a flow of lead time calculation processing according to the present embodiment.

(symbol description)

50: an internal bus; 51: a control unit; 52: a main storage unit; 53: an external storage unit; 54: an operation section; 55: a display unit; 56: a transmitting/receiving unit; 59: a control program; 100: a lead time calculation device; 110: a storage unit; 111: an order information storage unit; 112: a product master information storage unit; 113: an article master information storage unit; 114: an inventory information storage unit; 115: an order surplus information storage unit; 116: a delivery actual result information storage unit; 117: a schedule information storage unit; 118: a sufficiency information storage unit; 119: an input information storage unit; 120: a following rate calculation unit; 130: a variation rate calculation unit; 140: a sufficiency rate calculating section; 150: a schedule changing unit; 160: a lead time calculation unit; 170: a lead time display unit; 180: an input unit.

Detailed Description

Hereinafter, a lead time calculation device, a lead time calculation method, and a program for implementing the embodiments of the present disclosure will be described in detail with reference to the drawings. In the drawings, the same or corresponding portions are denoted by the same reference numerals.

The delivery date calculation device, the delivery date calculation method, and the program according to the embodiments of the present disclosure calculate the delivery date of a product ordered by a manufacturer from a customer. In addition, in the present embodiment, the delivery date calculation apparatus, the delivery date calculation method, and the program calculate the delivery date when the procurement status of the items used in the product changes every day, on the premise that the facilities and the personnel for assembling the product are sufficiently ensured and no problem occurs in their work status.

Fig. 1 is a diagram illustrating a functional configuration of a lead time calculation device according to an embodiment of the present disclosure. As shown in fig. 1, the delivery date calculation apparatus 100 according to the present embodiment is an electronic computer such as a personal computer or a server. The lead time calculation device 100 includes a storage unit 110 that stores information, and a following rate calculation unit 120 that calculates a following rate of a change to a schedule of a supplier who supplies an item used in a product. Here, the term "article" includes not only a member and a material constituting a product but also all articles used in the production of the product, and the state of the article may be any of a solid, a liquid, and a gas. The following rate of change to the plan is specifically a ratio of the number of items which the supplier supplies in a following manner to the number of items which the supplier requests to change due to the change to the plan.

The delivery date calculation device 100 includes a variation rate calculation unit 130 that calculates a variation rate of the number of purchased articles due to a change in the schedule, a sufficiency rate calculation unit 140 that calculates a sufficiency rate of the articles, and a schedule change unit 150 that changes the schedule. The lead time calculation device 100 includes a lead time calculation unit 160 for calculating the lead time, a lead time display unit 170 for displaying lead time information indicating the lead time, and an input unit 180 for receiving information input from the user.

Fig. 2 is a block diagram showing a hardware configuration of the lead time calculation device according to the present embodiment. The lead time calculation apparatus 100 shown in fig. 1 is constituted by hardware shown in fig. 2. As shown in fig. 2, the lead time calculation device 100 includes a control unit 51, a main storage unit 52, an external storage unit 53, an operation unit 54, a display unit 55, and a transmission/reception unit 56.

The control section 51 executes processing in accordance with a control program 59. The control Unit 51 includes a CPU (Central Processing Unit). The control unit 51 functions as a follow-up rate calculation unit 120, a change rate calculation unit 130, a sufficiency rate calculation unit 140, a schedule change unit 150, and a lead time calculation unit 160 provided in the lead time calculation device 100, in accordance with the control program 59. For example, the control unit 51 executes the following rate calculation step by the following rate calculation unit 120. Further, the control unit 51 executes the change rate calculation step by the change rate calculation unit 130 and the sufficiency rate calculation step by the sufficiency rate calculation unit 140. The control unit 51 executes the sufficiency rate calculation step by the schedule change unit 150 and the lead time calculation step by the lead time calculation unit 160.

The main storage unit 52 includes a RAM (Random-Access Memory), loads a control program 59, and serves as a work area of the control unit 51.

The external storage unit 53 stores a control program 59 in advance. The external storage unit 53 supplies data stored in the program to the control unit 51 in accordance with an instruction from the control unit 51, and stores the data supplied from the control unit 51. The external storage unit 53 includes a nonvolatile memory such as a flash memory, an HDD (Hard Disk Drive), or an ssd (solid State Drive). The external storage unit 53 functions as the storage unit 110.

The operation unit 54 supplies the input information to the control unit 51. The operation unit 54 includes information input means such as a keyboard, a mouse, a touch panel, and operation buttons. The operation unit 54 functions as an input unit 180.

The display unit 55 displays information input via the operation unit 54, information output from the control unit 51, and the like. The Display unit 55 includes a Display device such as an LCD (Liquid Crystal Display) or an organic EL (Electro-Luminescence) Display. The display unit 55 functions as a lead time display unit 170.

The transmission/reception unit 56 transmits/receives information. The transmission/reception unit 56 includes information communication means such as a network terminal device and a wireless communication device connected to a network.

In the lead time calculation device 100, the main storage unit 52, the external storage unit 53, the operation unit 54, the display unit 55, and the transmission/reception unit 56 are connected to the control unit 51 via the internal bus 50.

In the lead time calculation apparatus 100 shown in fig. 1, the control unit 51 realizes the functions of the storage unit 110, the following rate calculation unit 120, the change rate calculation unit 130, the sufficiency rate calculation unit 140, the schedule change unit 150, the lead time calculation unit 160, the lead time display unit 170, and the input unit 180, using the main storage unit 52, the external storage unit 53, the operation unit 54, the display unit 55, the transmission/reception unit 56, and the like as resources.

Returning to fig. 1, the storage unit 110 includes an order information storage unit 111 that stores order information indicating an order received from a customer, and a product master information storage unit 112 that stores product master information that is basic information of a product. The storage unit 110 includes an article main information storage unit 113 that stores article main information that is basic information of an article, an inventory information storage unit 114 that stores inventory information indicating inventory of a product and an article, and an order surplus information storage unit 115 that stores order surplus information indicating order surplus of an article. The storage unit 110 includes a delivery result information storage unit 116 that stores delivery result information indicating delivery results of suppliers, and a plan information storage unit 117 that stores plan information indicating a plan related to the manufacture of products. The storage unit 110 includes a sufficiency level information storage unit 118 that stores sufficiency level information indicating a sufficiency level of an article to be mounted, and an input information storage unit 119 that stores input information from a user.

Fig. 3A is a diagram showing an example of display of order acceptance information according to the present embodiment. The order acceptance information is, for example, information displayed in the form of a table shown in fig. 3A. The order accepting information includes information corresponding to items such as a "order accepting order number" indicating an identification number of an order that the manufacturer accepts orders from the customer, "customer name" indicating a name of the customer, "product number" indicating an identification number of a product that accepts orders, "quantity" indicating a quantity of a product that accepts orders, "amount" indicating a total amount of products that are sold and ordered, and "delivery date" indicating a delivery date of a product that answers the order accepting of the customer. For example, in the order acceptance order with the order acceptance order number of ON0001, the customer name is CL01, the product numbers of 2 products are P01 and P02, the numbers of 2 products are N01 and N02, the total amount is M01, and the delivery date is Ya/Ma/Da. That is, the order receiving information storage unit 111 shown in fig. 1 stores information such as a customer name, a product number, a quantity, an amount, a delivery date, and a response date as order receiving information for each order receiving. When an order is received from a customer, for example, the order-received information storage unit 111 updates information on items other than the delivery date by the input of the clerk, who is the user, to the input unit 180. When the delivery date is calculated by the delivery date calculation unit 160, the order-accepted information storage unit 111 updates the information of the item on the delivery date.

Fig. 3B is a diagram showing an example of display of product master information according to the present embodiment. The product master information is, for example, information displayed in the form of a table shown in fig. 3B. The product master information includes information corresponding to each item such as a "product number" indicating an identification number of a product, a "product series" indicating a series name of a product, a "unit price" indicating a unit price of a product, a "used item" indicating an item used in a product, and an "assembly line" indicating an assembly line for assembling a product. For example, IN the product with the product number P01, the product series is PS01, the unit price is MP01, the articles used IN the product are IN01, IN02, …, and the assembly lines of the product are L01, L02, …. That is, the product master information storage unit 112 shown in fig. 1 stores information on product series, unit price, used articles, assembly lines, and the like as product master information for each product. Further, when determining the start of manufacturing of a product, for example, the product master information storage unit 112 updates information by an input to the input unit 180 from a manufacturing manager as a user.

Fig. 3C is a diagram showing an example of display of the article master information according to the present embodiment. The item master information is, for example, information displayed in the form of a table shown in fig. 3C. The item master information includes information corresponding to items such as an "item code" indicating an identification number of an item, an "item name" indicating a name of an item, an "item group" indicating a group of items, a "supplier" indicating a name of a supplier who provides an item, a "purchase LT" indicating a purchase order period of an item, and a "purchase price" indicating a price at the time of purchasing an item. For example, IN a product having an item code of I01, the item name IS IN01, the group of items IS IG01, the supplier IS01, the procurement order period IS ILT01, and the purchase unit price IS MI 01. That is, the item master information storage unit 113 shown in fig. 1 stores information such as an item name, an item group, a supplier, a purchase order period, and a purchase unit price as item master information for each item. Further, when determining the start of manufacturing of a product, for example, the article master information storage unit 113 updates information by an input to the input unit 180 from a manufacturing manager who is a user.

Fig. 4A is a diagram showing an example of display of product stock information according to the present embodiment. The inventory information storage unit 114 shown in fig. 1 stores, as inventory information, product inventory information indicating an inventory of products and item inventory information indicating an inventory of items. The product stock information is, for example, information displayed in the form of a table shown in fig. 4A. The product stock information includes information corresponding to items such as a "product number", a "total stock number" indicating the total number of stocks of products, a "secured stock number" indicating the number of stocks of products secured to receive an order, an "unsecured stock number" indicating the number of stocks of products unsecured to receive an order, and an "update date" indicating an update date of the product stock information. For example, in the product with the product number P01, the total stock number is TP01, the secured stock number is TPA01, the unsecured stock number is TPB01, and the update date is Yc/Mc/Dc. That is, the inventory information storage unit 114 stores, as the product inventory information, information such as the total number of inventories, the secured inventory number, the unsecured inventory number, and the update date for each product. The stock information storage unit 114 updates information by an input to the input unit 180 from a stock manager as a user, for example, when stock management is started after manufacturing of a product, when stock of a product is secured for receiving an order, or the like.

Fig. 4B is a diagram showing an example of display of the item inventory information according to the present embodiment. The article stock information is information displayed in the form of a table shown in fig. 4B, for example. The item stock information includes information corresponding to items such as an "item code", an "inventory total number" indicating the total number of inventories of items, a "secured inventory number" indicating the number of inventories of assembled items of secured products, an "unsecured inventory number" indicating the number of inventories of assembled items of unsecured products, and an "update date" indicating an update date of the item stock information. For example, in an item with an item code of I01, the total quantity of stock is TI01, the number of secured stocks is TIA01, the number of unsecured stocks is TIB01, and the date of update is Ye/Me/De. That is, the inventory information storage unit 114 shown in fig. 1 stores, as the item inventory information, information such as the total number of inventories, the number of secured inventories, the number of unsecured inventories, and the date of update for each item. The inventory information storage unit 114 updates the information by an input from an inventory manager, which is a user, to the input unit 180, for example, when inventory management is started after purchase of an article, when inventory is secured for assembly of a product, or the like.

Fig. 4C is a diagram showing a display example of order remaining information according to the present embodiment. The order surplus information is information displayed in the form of a table shown in fig. 4C, for example. The order surplus information includes information corresponding to items such as an "order number" indicating an identification number of an order, "order date" indicating an order date, "latest scheduled delivery date" indicating a scheduled date of latest delivery, "scheduled delivery before change date" indicating a scheduled date of delivery before change of the delivery date, "scheduled delivery before change date" indicating a scheduled quantity of latest delivery, "scheduled delivery amount before change of the delivery date" indicating a scheduled quantity of delivery before change of the delivery date, "latest scheduled delivery amount" indicating a scheduled amount of latest delivery, "scheduled delivery amount" indicating a scheduled number of deliveries, "scheduled delivery number" indicating a scheduled number of deliveries, "and" delivery date change history "indicating a change history of the delivery date. For example, in the order with the order number HN0001, the item code is I01, the order date is Yg/Mg/Dg, the latest scheduled delivery date is Yh/Mh/Dh, the scheduled delivery date before lead change is Yi/Mi/Di, the latest scheduled delivery quantity is N11, the scheduled delivery quantity before lead change is N12, the latest scheduled delivery amount is M11, the scheduled delivery times are N13, and the lead change history is HH01, HH02, …. That is, the order surplus information storage unit 115 shown in fig. 1 stores, as order surplus information, information such as an article code, an order date, a latest date of delivery forecast, a date of delivery forecast before lead change, a latest quantity of delivery forecast, a quantity of delivery forecast before lead change, a latest quantity of delivery forecast, a number of delivery forecasts, and a lead change history for each order. The order surplus information storage unit 115 updates the information by an input to the input unit 180 by the user as an order clerk when, for example, an article is ordered from a supplier, and when there is a change in the order date, the scheduled delivery amount, and the scheduled delivery number after the order.

Fig. 4D is a diagram showing an example of display of delivery result information according to the present embodiment. The delivery result information is, for example, information displayed in the form of a table shown in fig. 4D. The delivery result information includes information corresponding to each item such as a "delivery number", an "order number", an "article code", a "delivery date" indicating a delivery date, a "delivery quantity" indicating a quantity of delivered goods, and a "delivery frequency" indicating a frequency of delivery, which are identification numbers of delivery. For example, in the order with the delivery number NN0001, the order number is HN0001, the article code is I01, the delivery date is Ym/Mm/Dm, the delivery quantity is N11, and the delivery frequency is N13. That is, the delivery record information storage unit 116 shown in fig. 1 stores information such as an order number, an article code, a delivery date, a delivery quantity, and a delivery frequency as delivery record information for each delivery. The delivery result information storage unit 116 updates the information by an input to the input unit 180 by the user as an order clerk when delivery is made by the supplier, for example.

Fig. 5A is a diagram showing an example of display of production plan information according to the present embodiment. In plan information storage unit 117 shown in fig. 1, production plan information indicating a production plan of a product, procurement plan information indicating a procurement plan of an item, and assembly plan information indicating an assembly plan of a product are stored as plan information. The production plan information is, for example, information displayed in the form of a table shown in fig. 5A. The production plan information includes information corresponding to items such as a "plan change date" indicating a change date of the production plan, a "product number", and a "plan date" indicating a production date of the production plan. For example, in the production plan with the plan change date Yo/Mo/Do, the product number is P01, and the plan date Yp/Mp/Dp. That is, the schedule information storage unit 117 stores information such as a product number and a schedule date as production schedule information for each schedule change date. Although not shown, the production schedule information also stores a predetermined number of production days per scheduled production date of the product for each scheduled change day.

Fig. 5B is a diagram showing an example of display of the procurement plan information according to the present embodiment. The purchase plan information is, for example, information displayed in the form of a table shown in fig. 5B. The purchase plan information includes information corresponding to items such as an "update date" indicating an update date of the purchase plan, an "item code", a "purchase quantity" indicating the quantity of purchased items, and an "object date" indicating an object date on which evaluation of the purchase quantity is performed. For example, in a purchase plan with the update date of Yr/Mr/Dr, the item code is I01, the purchase quantity is N31, and the target date is Ys/Ms/Ds. That is, the plan information storage unit 117 shown in fig. 1 stores information such as an item code, the number of purchases, and the target day as purchase plan information for each update day.

Fig. 5C is a diagram showing an example of display of the assembly plan information according to the present embodiment. The assembly plan information is, for example, information displayed in the form of a table shown in fig. 5C. The assembly plan information includes information corresponding to items such as an "assembly number" indicating an identification number of an assembly plan, a "latest assembly predicted day" indicating a scheduled day of the latest assembly, a "previous assembly predicted day" indicating a scheduled day of the last assembly, an "assembly product number" indicating an identification number of a product to be assembled, an "assembly number" indicating the number of assemblies, an "assembly execution probability" indicating an execution probability of the assembly, and an "update day" indicating an update day of the assembly plan. For example, in the assembly plan with assembly number a01, the latest assembly predicted day is Yu/Mu/Du, the last assembly predicted day is Yv/Mv/Dv, the assembly product numbers P01, …, the number of assemblies N41, the assembly line L01, the assembly execution probability is AS01, and the update day is Yw/Mw/Dw. That is, the plan information storage unit 117 shown in fig. 1 stores, as the assembly plan information, information such as the latest assembly predicted day, the last assembly predicted day, the assembly product number, the number of assemblies, the assembly line, the assembly execution probability, and the update date for each assembly. The schedule information storage unit 117 stores information by an input to the input unit 180 by a manufacturing manager as a user when a production schedule is created, and updates the information when the schedule is changed by the schedule changing unit 150. Further, the assembly number is given a large number as the assembly scheduled day is delayed.

Fig. 6A is a diagram showing a display example of the attachment sufficiency information according to the present embodiment. In the sufficiency rate information storage section 118 shown in fig. 1, fitting sufficiency rate information indicating the sufficiency rates of all the articles for fitting and article sufficiency rate information indicating the sufficiency rates of the respective articles for fitting are stored as the sufficiency rate information. The fitting sufficiency information is, for example, information displayed in the form of a table shown in fig. 6A. The assembly sufficiency information includes information corresponding to items such as an "assembly number", a "follow-up rate" indicating a follow-up rate concerning a change to a plan by a supplier of all items to be assembled, and a "sufficiency rate" indicating a sufficiency rate of all items to be assembled. For example, in assembly number a01, the follow-up rate is AF01 and the sufficiency rate is AS 01. That is, the sufficiency information storage unit 118 shown in fig. 1 stores information such as the following rate, the sufficiency rate, and the like as the assembly sufficiency rate information for each assembly.

Fig. 6B is a diagram showing an example of display of the item abundance ratio information according to the present embodiment. The article abundance ratio information is, for example, information displayed in the form of a table shown in fig. 6B. The item availability ratio information includes information corresponding to items such as an "item code", a "following rate" indicating a following rate of change of a supplier who supplies the item to a plan, a "availability ratio" indicating an availability ratio of the item, and an "update date" indicating an update date of the item availability ratio information. For example, in the item having the item code I01, the following rate IS IF01, the sufficiency rate IS01, and the update date IS Yw/Mw/Dw. That is, the abundance ratio information storage unit 118 shown in fig. 1 stores information such as the following rate, abundance ratio, and update date as the item abundance ratio information for each item. The sufficiency information storage unit 118 updates the information when the following rate calculation unit 120 calculates the following rate and when the sufficiency calculation unit 140 calculates the sufficiency, for example.

Fig. 6C is a diagram showing an example of display of input information according to the present embodiment. The input information is, for example, information displayed in the form of a table shown in fig. 6C. The input information includes 2 types of "evaluation period" and "threshold value", and includes information corresponding to items such as the value of the input information, the "value" indicating the updater and the update date, the "updater" and the "update date". That is, the input information storage unit 119 shown in fig. 1 stores information of the evaluation period and the threshold value, the updater, and the update date as input information. For example, on Yw/Mw/Dw as the update date, the value of the evaluation period is updated to VH01 and the value of the threshold is updated to VS01 by the input of W01 as the updater. The input information storage unit 119 updates information by an input to the input unit 180 from, for example, a manufacturing manager who is a user.

The following rate calculation unit 120 shown in fig. 1 calculates the following rate based on the delivery performance information of the supplier stored in the storage unit 110.

The following rate calculation unit 120 first refers to the input information stored in the input information storage unit 119, and acquires a value of the evaluation period. For example, the following rate calculation unit 120 obtains VH01 as a value of the evaluation period shown in fig. 6C. Here, the value of the evaluation period is a value of an update period of the purchase plan decided by the manufacturing manager, and for example, if the manufacturing manager decides the update period of the purchase plan at 1 cycle, and if the 1-cycle period is an actual work 5-day period, the value of the evaluation period becomes 5. Returning to fig. 1, the following rate calculation unit 120 then refers to the item master information stored in the item master information storage unit 113, and selects an item to be evaluated for the following rate. For example, the following rate calculation unit 120 selects an item whose item code is I01 shown in fig. 4B.

Referring back to fig. 1, the following rate calculation unit 120 then acquires the number of purchases of the selected item in the current evaluation period and the number of purchases of the selected item in the previous evaluation period, with reference to the purchase plan information stored in the plan information storage unit 117. For example, if Ys/Ms/Ds as the target day shown in fig. 5B is within the previous or current evaluation period, the following rate calculation unit 120 acquires N31 as the purchase quantity, and acquires all the purchase quantities within the previous or current evaluation period on the target day. Returning to fig. 1, the following rate calculation unit 120 calculates a quantity obtained by subtracting the quantity obtained by accumulating the purchase quantity in the previous evaluation period by one day from the quantity obtained by accumulating the purchase quantity in the current evaluation period by one day.

Since the evaluation period is the update period of the purchase plan as described above, the following ratio calculation unit 120 acquires the current planned purchase quantity and the previous planned purchase quantity, and calculates the plan variation quantity which is the difference quantity between the quantity obtained by accumulating the current planned purchase quantity and the quantity obtained by accumulating the previous planned purchase quantity. Specifically, when the evaluation period is T, the selected item is m, the natural number from 1 to T is T (1 ≦ T), the number of purchases in the current evaluation period is N (m, T), and the number of purchases in the previous evaluation period is O (m, T), the planned variation number is a value calculated by the formula shown in equation 1 below.

[ formula 1]

Next, the following rate calculation unit 120 refers to the delivery performance information stored in the delivery performance information storage unit 116, and acquires the supply quantity supplied from the supplier during the current evaluation period. For example, if Ym/Mm/Dm that is the delivery date shown in fig. 4D is within the previous or current evaluation period, the following rate calculation unit 120 acquires N11 that is the delivery quantity, and acquires all the delivery quantities whose delivery dates are within the previous or current evaluation period. Returning to fig. 1, the following rate calculation unit 120 calculates the number obtained by subtracting the number of purchases in the previous evaluation period from the number obtained by accumulating the number of supplies in the current evaluation period for one day. Therefore, the following rate calculation unit 120 calculates the following variation amount which is the difference amount between the amount obtained by accumulating the supply amount supplied by the supplier following the increased purchase amount due to the change from the previous schedule to the current schedule and the amount obtained by accumulating the purchase amount of the previous schedule. Specifically, when the supply amount in the present evaluation period is R (m, t), the follow-up variation amount is a value calculated by the following equation 2.

[ formula 2]

The following ratio calculation unit 120 calculates the following ratio by calculating the ratio of the number of following variations to the planned number of variations, and stores the calculated following ratio in the sufficient ratio information storage unit 118 as the following ratio of the item sufficient ratio information. Specifically, assuming that the following rate is T (m, T), the following rate T (m, T) is a value calculated by the following equation 3. Further, N (m, 0) is a minimum value of the number of purchases for which N (m, t) is satisfied, and O (m, 0) is a minimum value of the number of purchases for which N (m, 0) is satisfied in the previous evaluation.

[ formula 3]

Fig. 7 is a graph showing the relationship between the change in the purchase quantity and the supply quantity due to the change in the schedule according to the present embodiment. The following ratio T (m, T) is not a negative value, and is always a value in the range of 0% to 100%. That is, 0 ≦ T (m, T) ≦ 1 is always true for the following rate T (m, T). For example, in the graph shown in fig. 7, the planned number of purchases of the previous time is O (m, 0) 0, O (m, 1) 20, O (m, 2) 40, O (m, 3) 60, O (m, 4) 80, or O (m, 5) 100. The planned purchase quantity of this time is N (m, 0) 0, N (m, 1) 40, N (m, 2) 60, N (m, 3) N (m, 4) N (m, 5) 100. The planned supply quantities of this time are R (m, 0) 0, R (m, 1) 20, R (m, 2) 40, R (m, 3) 80, and R (m, 4) R (m, 5) 100. In this case, the following rate T (m, T) is T (m, T) { (0-0) + (20-20) + (40-40) + (80-60) + (100-80) + (100-100)/(0-0) + (40-20) + (60-40) + (100-60) + (100-80) + (100-100) } 40/100 ═ 0.4.

Returning to fig. 1, the following rate calculation unit 120 repeats the selection of the item and the calculation of the following rate until the following rate of all items to be evaluated is calculated.

Here, when the ability of the supplier to follow the new plan is defined as the meaning of the formula shown in the above formula 3, the difference in the period required until the supplier quantity R (m, t) as the new plan is followed and the change in the quantity due to the change in the plan are used as evaluation materials. For example, in the case of faster tracking, the value of the tracking rate T (m, T) increases with respect to the period. For example, regarding the number, even if the number cannot be completely followed, it is desirable to estimate the capability of supplying the article by observing the degree of partial following. For example, in the graph shown in fig. 7, at t equal to 3, the purchase number increases as O (m, 3) is 60 and N (m, 3) is 100, whereas R (m, 3) is 80. Therefore, it is assumed that the device has a capability of following only 20 increments of the 40 increments.

The ability to follow up can be interpreted as, for example, an ability to hold or use stock of each item in a supplier, an ability to convey a scheduled time period, an ability to assemble equipment, and the like. Therefore, the lead time calculation device 100 can estimate, for example, a tendency of the ability to follow for each supplier common to all the items or a tendency of the ability to follow for each component common to all the suppliers by observing the following rate T (m, T). As a result, the lead time calculation device 100 can be expected to be applied to various situations in which the procurement plan is changed by observing the following rate T (m, T). Therefore, the lead time calculation device 100 may store and accumulate information indicating the calculated following rate T (m, T) for each evaluation period in order to use the estimation of the sufficient rate of stock described later, for example.

In this case, for example, when statistically estimating the ability of the supplier to follow, the following rate calculation unit 120 can expect an improvement in accuracy of the lead time of the reply as the reliability of the estimation result increases as the number of samples used for the estimation increases. Therefore, when estimating the following rate, the following rate calculation unit 120 may estimate the newly planned following amount based on the following rate in each evaluation period calculated by tracing back to a plurality of past evaluation periods. For example, when n is a natural number, the following rate calculation unit 120 calculates the following rate for each evaluation period of T ═ 0, -T, -2T, …, -nT according to the formula shown in formula 3, and calculates the average value of the calculated (n +1) following rates as the new planned following rate. That is, the following ratio calculation unit 120 may calculate, as the new planned following ratio, an average value of the 1 st following ratio calculated from the sample of the 1 st period corresponding to T ═ 0, the 2 nd following ratio calculated from the sample of the 2 nd period corresponding to T ═ T, the 3 rd following ratio and … calculated from the sample of the 3 rd period corresponding to T ═ 2T, and the (n +1) th following ratio calculated from the sample of the (n +1) th period corresponding to T ═ nT.

Here, since the reliability of the estimation result improves as the number of samples increases, the value of n is preferably statistically large. However, due to a change in the capability supplied by the supplier, for example, an increase in the number of devices, a change in the manner of storing the stock, or the like, the following capability may be greatly changed. In this case, the following rate calculation unit 120 is not suitable for using the performance information before the capability supplied by the supplier changes when estimating the capability of the following.

Here, for example, it is considered that there is an intentional difference between the average value of the follow-up rates of a group of T ═ 0, -T, …, -nT and the average value of the follow-up rates of a group of T ═ nT, - (n +1) T, …, -2 nT, which is an example of a predetermined relationship. In this case, the following rate calculation unit 120 may estimate that the following ability is changed in the evaluation period before and after t — nT. Therefore, the following rate calculation unit 120 may adjust the past evaluation period when calculating the average value by calculating the following rate using the minimum n for the estimation.

For example, when n is 2, the absolute value of the difference between the average value of the 1 st following rate and the 2 nd following rate and the average value of the 2 nd following rate and the 3 rd following rate may exceed a predetermined threshold. In this case, the following ratio calculation unit 120 may calculate only the average value of the 1 st following ratio and the 2 nd following ratio as the new planned following ratio. Thus, the lead time calculation device 100 can calculate an appropriate following rate based on the performance information after the capability supplied by the supplier has changed, as compared with a lead time calculation device that calculates an average value of the 1 st following rate, the 2 nd following rate, and the 3 rd following rate as a new planned following rate.

For example, a conventionally known t-test may be used to detect the difference between the average values of the two groups of tracking rates. Here, the t test is a statistical test performed by using a conventionally known t distribution that follows a test statistic calculated from an extracted sample when an unprovoked hypothesis, i.e., a null hypothesis, is correct, without depending on the mean and variance of the parent cluster of the sample. In the t-test, if the calculated test statistic is a value included in a range of 5% or less of the significance level of the t-distribution, no null hypothesis is adopted and a contradictory hypothesis against the null hypothesis is adopted. Therefore, in the lead time calculation device 100, for example, the assumption that the difference between the average values of the follow-up rates of the two clusters is smaller than the threshold value is made as the default assumption, and if the test statistic calculated from the difference between the average values of the follow-up rates of the two clusters becomes a value in the range of 5% or less of the t-distribution, the default assumption is not adopted, and thus it is considered that there is a significant difference in the average values of the follow-up rates of the two clusters.

Therefore, in the lead time calculation device 100, for example, the range of n may be 10 to 100, the average value of the follow-up rates of the two groups may be repeatedly calculated from 10 which is the minimum value to 100 which is the maximum value, and the t-test may be performed, and the value of n may be used so that the probability that no intentional difference occurs in the average value of the follow-up rates of the two groups becomes the minimum. Specifically, the value of n, which is the largest in the absolute value of the test statistic, among the values of n in the range in which the test statistic is 5% or less of the t-distribution may be used. By estimating the following ability from the value of n selected in this way, it is possible to calculate an appropriate following rate based on performance information obtained after the change in the ability supplied by the supplier.

Returning to fig. 1, the variation rate calculation unit 130 calculates the variation rate of the current planned purchase quantity and the previous planned purchase quantity of the item to be evaluated. The variation rate calculation unit 130 calculates the variation rate by multiplying the number obtained by accumulating the planned purchase number of the current time with respect to the number obtained by accumulating the planned purchase number of the previous time, with respect to the selected item. Specifically, when the variation rate is U (m, t), the variation rate U (m, t) is a value calculated by the following formula shown in formula 4.

[ formula 4]

Note that the change rate U (m, t) does not have a negative value, and 0 ≦ U (m, t) is always true for the change rate U (m, t). For example, in the graph shown in fig. 7, the variation rate U (m, t) is equal to (40+60+100+100+100/20+40+60+80+ 100) — 400/300 ≈ 1.33.

Returning to fig. 1, the sufficiency rate calculation unit 140 calculates the sufficiency rate of the item used for assembly in the present plan, based on the following rate calculated by the following rate calculation unit 120 and the variation rate calculated by the variation rate calculation unit 130. Further, the sufficiency becomes an index for determining whether or not the stock quantity of a particular day of the article exceeds the quantity used in the assembly on that day. Specifically, first, the abundance ratio calculation unit 140 refers to the assembly plan information stored in the plan information storage unit 117, and selects an assembly to be evaluated with an abundance ratio. For example, the sufficiency calculating unit 140 selects the assembly with the assembly number a01 shown in fig. 5C.

Returning to fig. 1, next, the abundance ratio calculation unit 140 refers to the product master information stored in the product master information storage unit 112 and the article master information stored in the article master information storage unit 113, and selects an article to be used in the selected assembly. For example, since P01 as the assembly product number shown IN fig. 5C coincides with P01 as the product number shown IN fig. 3B, sufficiency calculating unit 140 selects an item of I01 as an item code shown IN fig. 3C corresponding to IN01 as the used item shown IN fig. 3B.

Returning to fig. 1, subsequently, the abundance ratio calculation unit 140 refers to the inventory information of the items stored in the inventory information storage unit 114, the procurement plan information stored in the plan information storage unit 117, and the order surplus information stored in the order surplus information storage unit 115, and determines whether or not the inventory quantity of the items selected at the time of assembly is insufficient. For example, the abundance ratio calculation unit 140 refers to the item stock information with the item code I01 as the identification information, and acquires TI01, TIA01, and TIB01 as the stock quantities shown in fig. 4B. Further, the abundance ratio calculation unit 140 refers to the purchase schedule information with the item code I01 as the identification information, and acquires N31 as the purchase quantity and other purchase quantities before the latest scheduled assembly day if Ys/Ms/Ds as the target day shown in fig. 5B is before Yu/Mu/Du as the latest scheduled assembly day shown in fig. 5C. Further, the abundance ratio calculation unit 140 refers to the order surplus information using the article code I01 as the identification information, and if Yh/Mh/Dh as the latest scheduled delivery date shown in fig. 4C is before Yu/Mu/Du as the latest scheduled assembly date, acquires N11 as the latest scheduled delivery amount and also acquires the other latest scheduled delivery amounts before the latest scheduled assembly date. Then, the abundance ratio calculation unit 140 determines whether or not the stock quantity that can be assembled with N41 as the assembly quantity is secured on Yu/Mu/Du as the latest assembly predicted day, based on these quantities.

Returning to fig. 1, next, if the stock quantity of the selected item at the time of fitting is not insufficient, the sufficiency rate calculation section 140 calculates the sufficiency rate of the selected item as 100%, and stores the calculated sufficiency rate as the sufficiency rate of the item sufficiency rate information to the sufficiency rate information storage section 118. On the other hand, when the stock quantity of the items selected at the time of assembly is insufficient, the sufficiency rate calculation unit 140 causes the change rate calculation unit 130 to calculate the change rate, and calculates the sufficiency rate by multiplying, that is, integrating the calculated change rate by the following rate calculated by the following rate calculation unit 120. For example, in the graph shown in fig. 7, since U (m, T) ≈ 1.33 and T (m, T) ≈ 0.4 hold with respect to the variation rate U (m, T) and the follow-up rate T (m, T), the sufficiency rate is U (m, T) × T (m, T) ≈ 0.53.

Returning to fig. 1, next, the sufficiency calculating section 140 calculates the sufficiency for all the items used in the selected assembly, and stores the following rate of the item whose sufficiency becomes the minimum and the sufficiency as the assembly sufficiency information to the sufficiency information storing section 118. Further, the sufficiency calculating unit 140 stores the sufficiency of the item whose sufficiency becomes the minimum in the plan information storing unit 117 as the assembly execution probability of the assembly plan information. This is because even 1 type of article used for the selected assembly cannot be assembled, and therefore the abundance ratio of the article whose abundance ratio is the smallest becomes the abundance ratio of the entire articles used for the assembly, and also becomes the execution probability of the assembly. Then, the sufficiency calculating unit 140 repeats the selection of the assembly, the selection of the article, and the calculation of the sufficiency until the sufficiency for each article is calculated for all assemblies to be evaluated as the sufficiency.

The plan changing unit 150 changes the current plan when the abundance ratio calculated by the abundance ratio calculating unit 140 does not exceed a predetermined threshold. Specifically, first, plan changing unit 150 refers to the assembly plan information stored in plan information storage unit 117 and the input information stored in input information storage unit 119, and sequentially selects assemblies having assembly execution probabilities of being equal to or less than a threshold value from an assembly having a smaller assembly number, that is, an assembly having the latest assembly expected to be earlier. For example, if AS01 shown in fig. 5C AS the fitting execution probability is VS01 or less AS the value of the threshold shown in fig. 6C, the plan change part 150 selects the fitting with the fitting number a 01. Further, in the case where the sufficiency is about 0.53 as in the graph shown in fig. 7, if 0.9 is input as the value of the threshold, the fitting execution probability becomes equal to or less than the value of the threshold.

Returning to fig. 1, the plan changing unit 150 then determines whether or not the candidate day on which the assembly execution probability of the selected assembly exceeds the threshold is the current planning target period. For example, the plan changing unit 150 causes the abundance ratio calculating unit 140 to calculate the abundance ratio, which is the assembly execution probability when the delay is made one day from the latest assembly predicted day, and determines whether or not the candidate day is the current planned target period, by setting the day on which the calculated abundance ratio exceeds the threshold value as the candidate day. Next, if the candidate day is not the period to be planned this time, the plan changing unit 150 determines that the selected assembly is to be performed after the next plan, and sets an off-target flag, not shown, to ON for the selected assembly.

On the other hand, if the candidate day is the current planning target period, the plan changing unit 150 selects an assembly having an assembly execution probability exceeding a threshold value even with an assembly changeover schedule selected from assemblies having an assembly execution probability exceeding a threshold value on the latest assembly predicted day after the calculated candidate day, and changes over the schedule among the selected assemblies. For example, the schedule changing unit 150 causes the abundance ratio calculating unit 140 to calculate the abundance ratio at the latest scheduled assembly day before the selected assembly having the assembly execution probability of the threshold value or less, with respect to the assemblies that have become the candidate day and thereafter. The schedule changing unit 150 calculates the abundance ratio in advance in the order from morning to evening on the latest scheduled assembly day, and determines whether or not the calculated abundance ratio exceeds a threshold value. Then, if the calculated abundance ratio exceeds the threshold, the schedule change unit 150 selects an assembly whose assembly execution probability exceeds the threshold even if schedules are exchanged, and exchanges schedules among the selected assemblies. If it is not determined that the assembly for which the calculated abundance ratio exceeds the threshold value is present, the schedule changing unit 150 changes only the latest scheduled assembly date to the candidate date without exchanging the selected assembly with the subsequent assembly.

Then, the plan changing unit 150 repeats the selection, exchange, or delay of the assembly for all assemblies to be subjected to the plan of this time until the assembly execution probability exceeds the threshold value, changes the assembly plan information, and stores the changed assembly plan information in the plan information storage unit 117 as the assembly plan information of the new plan. The schedule changing unit 150 generates production schedule information on a new schedule change day based on the changed assembly schedule information, and stores the generated new production schedule information in the schedule information storage unit 117.

The lead time calculation unit 160 calculates the lead time of the product by referring to the production schedule information stored in the schedule information storage unit 117 and calculating the factory-possible date of the product from the production schedule number for each production schedule day of the product. Specifically, first, the delivery date calculation unit 160 refers to the order acceptance information stored in the order acceptance information storage unit 111, and selects an order acceptance order that is a reply to the delivery date. For example, the lead time calculation unit 160 selects the order accepted order with the order accepted order number ON0001 shown in fig. 3A, and determines that the number of products with the order accepted product number P01 is N01 and the number of products with the product number P02 is N02.

Returning to fig. 1, the lead time calculation unit 160 then selects the product to be selected as the subject of the order in the order of the product numbers. For example, the lead time calculation unit 160 selects the product number P01 shown in fig. 3A. Next, the lead time calculation unit 160 refers to the product inventory information in the inventory information storage unit 114, and determines whether the amount of the unsecured inventory exceeds the order accepted amount, thereby determining whether the amount of the inventory is insufficient. For example, the lead time calculation unit 160 refers to the product stock information with P01 as the product number as the identification information, and determines whether or not the TPB01 as the unsecured stock quantity shown in fig. 4A exceeds N01 as the quantity of the product to be ordered.

Returning to fig. 1, next, if the stock quantity is not insufficient, the lead time calculation section 160 calculates the factory-possible date of the selected product as the current date. On the other hand, if the stock quantity is insufficient, the lead time calculation unit 160 specifies the scheduled production quantity for each scheduled production day of the selected product by referring to the production schedule information stored in the schedule information storage unit 117, and calculates the production completion scheduled day, which is the day on which the cumulative quantity of the scheduled production quantities exceeds the insufficient quantity, thereby calculating the possible shipment day. For example, the lead time calculation unit 160 calculates the cumulative quantity by referring to the production schedule information with P01 as the product number as the identification information and summing up the scheduled quantities for production on the next day and subsequent days of the current date one day. In addition, when the calculated cumulative number exceeds the shortage number (N01-TPB 01), the lead time calculation unit 160 adds the total number of days for which the scheduled number of productions is performed to the current date, thereby calculating the factory-ready date. Further, if the number of days in which the accumulated number exceeds the insufficient number is not counted even when the scheduled number of days for production accumulated ON the last scheduled production day is counted, the lead time calculation unit 160 determines that shipment is not possible, and sets a shipment non-possible flag, not shown, to ON for the selected order acceptance order.

Next, the lead time calculation unit 160 temporarily stores the calculated possible date of shipment, and repeats the selection of products and the calculation of the possible date of shipment until the possible date of shipment is calculated for all the products to be placed in order. The lead time calculation unit 160 calculates the lead time from the latest date among the calculated possible delivery dates of all the products, and stores the calculated lead time as a lead time response date of the order acceptance information in the order acceptance information storage unit 111.

Fig. 8 is a diagram showing an example of display of a lead time calculation result screen according to the present embodiment. The lead time display unit 170 displays lead time information indicating the lead time calculated by the lead time calculation unit 160. The lead time display unit 170 displays a lead time calculation result screen shown in fig. 8 as an example of the lead time information. The lead time calculation result screen displays, for example, a character image such as "calculated lead time answer day shown below" and a character image indicating the names of items such as "order acceptance number", "customer name", "product number", "quantity", and "lead time answer day". In addition, ON the lead time calculation result screen, for example, character images indicating the values of the items such as "ON 0001", "CL 01", "P01, P02", "N01, N02", and "Ya/Ma/Da" are displayed.

The input unit 180 receives input, for example, using the evaluation period and the threshold value from the manufacturing manager as input information. The input unit 180 receives input of product master information, article master information, and schedule information from a manufacturing manager, for example. The input unit 180 receives input of order acceptance information from a clerk, inventory information from an inventory manager, delivery performance information from a clerk, and order surplus information, for example.

Next, the operation of the lead time calculation device 100 will be described. The lead time calculation device 100 calculates the following rate for each item in nighttime batch processing, which is batch processing performed at nighttime each day, and changes the schedule in a state where the input information storage unit 119 stores input information such as the evaluation period and the threshold value input by the user. For example, the lead time calculation device 100 executes the following ability calculation process and the schedule change process, which will be described later, at 0 am each day. When the user inputs a meaning of receiving the order and answering the delivery date, the delivery date calculation apparatus 100 calculates the delivery date. For example, when the sales clerk inputs an answer to the delivery date for the customer about the designated order received, the delivery date calculation apparatus 100 executes the delivery date calculation process described below.

Fig. 9 is a flowchart showing a flow of the following rate calculation processing according to the present embodiment. Next, the following rate calculation process performed by the following rate calculation unit 120 will be described with reference to a flowchart shown in fig. 9. The following rate calculation process is a process of calculating the following rate of the supplier when the quantity of the requested items to the supplier changes due to the change of the plan, based on the delivery performance of the supplier. The following rate calculation unit 120 starts the following ability calculation process in the nighttime batch process performed every day.

When the following ability calculation process is started, first, the following rate calculation unit 120 acquires the value of the evaluation period, and selects an article to be evaluated for the following rate based on the value of the evaluation period (step S101). For example, the following rate calculation unit 120 selects an item whose item code is I01 shown in fig. 4B.

Returning to fig. 9, after selecting an item, the following ratio calculation unit 120 acquires the present planned purchase quantity and the previous planned purchase quantity of the selected item, and calculates a planned variation quantity obtained by subtracting the quantity obtained by accumulating the previous planned purchase quantity from the quantity obtained by accumulating the present planned purchase quantity (step S102). For example, the following rate calculation unit 120 acquires all the purchase amounts in the evaluation period in which the target day shown in fig. 5B is the previous or present time, and calculates the value calculated by the equation shown in equation 1.

Returning to fig. 9, after calculating the planned variation amount, the following rate calculation unit 120 acquires the current planned supply amount from the supplier of the selected item, and calculates the follow-up variation amount obtained by subtracting the accumulated purchase amount in the previous evaluation period from the accumulated supply amount of the purchase amount to follow the current planned supply amount (step S103). For example, the following rate calculation unit 120 acquires all the delivered quantities during the evaluation period in which the delivery date shown in fig. 4D is the previous or present time, and calculates the value calculated by the equation shown in the above equation 2.

Returning to fig. 9, after calculating the number of follow-up variations, the follow-up ratio calculation unit 120 calculates the follow-up ratio by calculating the ratio of the number of follow-up variations to the planned number of variations, and stores the calculated follow-up ratio in the sufficient ratio information storage unit 118 (step S104). For example, the following rate calculation unit 120 calculates the following rate T (m, T) calculated by the equation shown in equation 3, and stores the calculated value T (m, T) in the sufficient rate information storage unit 118.

After calculating the following rate, the following rate calculation unit 120 determines whether or not the following rates of all the items to be evaluated are calculated based on the value of the evaluation period (step S105). When the following percentage calculation unit 120 does not calculate the following percentages of all the articles (step S105; n), the following percentage calculation unit repeats the processing of steps S101 to S105 until the following percentages of all the articles are calculated. On the other hand, when calculating the following ratios of all the items (step S105; y), the following ability calculation unit 120 ends the following ability calculation process.

Fig. 10 is a flowchart showing a flow of the schedule change process according to the present embodiment. Next, the plan change process executed by the abundance ratio calculation unit 140 and the plan change unit 150 will be described with reference to the flowchart shown in fig. 10. The plan change process is a process of changing the plan of this time if the sufficiency rate for each item calculated from the following rate calculated in the following ability calculation process is equal to or less than a threshold value. The abundance ratio calculation unit 140 starts the schedule change process in the nighttime batch process performed each day.

When the plan change process is started, first, the sufficiency calculation unit 140 selects an assembly to be evaluated at a sufficiency (step S201), and selects an article to be used in the selected assembly (step S202). For example, the sufficiency calculating unit 140 selects the assembly with the assembly number a01 shown in fig. 5C. At this time, since P01 as the assembly product number corresponding to the assembly matches P01 as the product number shown IN fig. 3B, abundance ratio calculation unit 140 selects an article having article code I01 shown IN fig. 3C corresponding to IN01 as the used article shown IN fig. 3B.

Returning to fig. 10, after selecting an item, for example, the abundance ratio calculation unit 140 determines whether the stock quantity of the item selected at the time of assembly is insufficient (step S203). For example, the abundance ratio calculation unit 140 acquires the number of purchases and the latest scheduled delivery quantity before the latest scheduled assembly date shown in fig. 4B, TIA01, TIB01, fig. 5B, and fig. 4C, which are the respective numbers of stocks, and determines whether or not the number of assemblies is the number of stocks for which the assembly of N41 is performed.

Returning to fig. 10, if the stock quantity of the selected items is insufficient at the time of assembly (step S203; "yes"), the abundance ratio calculation unit 140 causes the variation ratio calculation unit 130 to calculate a variation ratio that is a multiplication factor of the quantity obtained by accumulating the currently planned procurement quantity of the selected items with respect to the quantity obtained by accumulating the previously planned procurement quantity (step S204). For example, the variation ratio calculation unit 130 calculates the variation ratio U (m, t) calculated by the equation shown by the above numeral 4. After calculating the variation rate, the sufficiency rate calculation unit 140 calculates a sufficiency rate by multiplying the calculated variation rate by the tracking rate calculated by the tracking rate calculation unit 120 (step S205). For example, the sufficiency calculating unit 140 calculates the sufficiency calculated by U (m, T) × T (m, T). On the other hand, if the stock quantity of the selected article is not insufficient at the time of assembly (step S203; n), the sufficiency calculating unit 140 calculates the sufficiency of the selected article to be 100% (step S206).

After the sufficiency rate is calculated, the sufficiency rate calculation unit 140 stores the calculated sufficiency rate in the sufficiency rate information storage unit 118 (step S207), and determines whether or not the sufficiency rate of all the articles to be subjected, that is, all the articles used in the selected assembly is calculated (step S208). If the sufficiency of all the target articles is not calculated (step S208; n), the sufficiency calculating unit 140 repeats the processing of steps S202 to S208 until the sufficiency of all the articles is calculated. On the other hand, when the sufficiency of all the items to be subjected is calculated (step S208; y), the sufficiency calculating unit 140 stores the minimum value of the sufficiency of all the items to be subjected in the sufficiency information storing unit 118 as the sufficiency of the items to be used in the selected fitting (step S209).

After storing the sufficiency, the sufficiency calculating unit 140 determines whether or not the sufficiency of the articles used in all the assemblies that are the evaluation targets of the sufficiency is calculated (step S210). When the sufficiency of the articles used in all the assemblies is not calculated (step S210; n), the sufficiency calculating unit 140 repeats the processing of steps S201 to S210 until the sufficiency of the articles used in all the assemblies is calculated.

On the other hand, when the sufficiency of the items used in all the assembly is calculated (step S210; y), the plan changing unit 150 selects assemblies having the sufficiency, that is, the assembly execution probability of being equal to or less than the threshold value, in order from the assemblies having the small assembly numbers and the latest assembly predicted days earlier (step S211). For example, if AS01 shown in fig. 5C AS the fitting execution probability is VS01 or less AS the value of the threshold shown in fig. 6C, the plan change part 150 selects the fitting with the fitting number a 01.

Returning to fig. 10, after selecting the assembly, the plan changing unit 150 determines whether or not the candidate day on which the assembly execution probability of the selected assembly exceeds the threshold is the current planning target period (step S212). For example, the plan changing unit 150 determines whether or not a candidate day in which the abundance ratio calculated by the abundance ratio calculating unit 140 after a delay of one day from the latest scheduled assembly day exceeds the threshold is the current planned target period. When the candidate day is the current planned period (step S212; y), the plan changing unit 150 determines whether or not there is an assembly whose abundance ratio exceeds the threshold value even with an assembly interchange schedule selected from assemblies whose abundance ratio exceeds the threshold value on the latest assembly scheduled day after the candidate day (step S213). For example, the schedule changing unit 150 causes the abundance ratio calculating unit 140 to calculate the abundance ratio when the schedule is changed to the candidate day in the order of the smaller assembly numbers, and repeats the selection of the assemblies and the calculation of the abundance ratio until the calculated abundance ratio exceeds the threshold value, for the assemblies after the latest scheduled assembly day becomes the candidate day.

When there is an assembly for which the sufficiency exceeds the threshold even in the exchanging schedule (step S213; y), the plan changing unit 150 exchanges the assembly with the selected assembly schedule (step S214). On the other hand, if there is no fit whose sufficiency exceeds the threshold even if the schedule is exchanged (step S213; n), the schedule changing unit 150 executes schedule postponement processing for changing the latest scheduled fit day to a candidate day without exchanging the selected fit (step S215). When the candidate day is not the target period of the current plan (step S212; n), the plan changing unit 150 determines that the selected assembly is to be performed after the next plan, and performs schedule extension processing for turning ON the out-of-target flag for the selected assembly (step S215).

After the exchange or the extension of the schedule, the plan changing unit 150 determines whether or not the abundance ratio of the articles used in all the assemblies to be evaluated exceeds the threshold (step S216). When the abundance ratio of the articles used in all the assembling does not exceed the threshold value (step S216; n), the plan changing unit 150 repeats the processing of steps S211 to S216 until the abundance ratio of the articles used in all the assembling exceeds the threshold value. On the other hand, when the abundance of all the articles used for assembly exceeds the threshold value (step S216; y), the plan changing unit 150 stores a new plan changed by exchange or delay of assembly in the plan information storage unit 117 (step S217), and ends the plan changing process.

Fig. 11 is a flowchart showing a flow of lead time calculation processing according to the present embodiment. Next, the lead time calculation process executed by the lead time calculation unit 160 will be described with reference to the flowchart shown in fig. 11. The lead time calculation process is a process of calculating the lead time of the product by calculating the factory-possible date of the product according to the production-scheduled number on each production-scheduled day of the product determined from the new schedule changed in the schedule change process. The lead time calculation unit 160 starts the lead time calculation process when performing input for calculating the designated lead time for accepting the order.

When the lead time calculation process is started, the lead time calculation unit 160 first selects an order acceptance order that answers the lead time, based on an input from the user (step S301), and selects a product to be a target of the selected order acceptance order in the order of product number (step S302). For example, the lead time calculation unit 160 selects the order acceptance order with the order acceptance order number ON0001 shown in fig. 3A, and selects the product with the product number P01.

Returning to fig. 11, after selecting a product, the lead time calculation unit 160 determines whether the stock quantity of the selected product is insufficient (step S303). For example, the lead time calculation unit 160 determines whether TPB01, which is the amount of unsecured stock shown in fig. 4A, exceeds N01, which is the amount of the product accepted for order. Returning to fig. 11, when the stock quantity is insufficient (yes in step S303), the lead time calculation unit 160 specifies the planned production quantity for each planned production day of the selected product, calculates the factory-possible day, which is the day when the cumulative quantity of the planned production quantities exceeds the insufficient quantity (step S304), and determines whether the factory-possible day cannot be calculated (step S305). For example, the lead time calculation unit 160 counts the scheduled production days after the next day, and when the accumulated number exceeds the shortage number (N01-TPB 01), the lead time calculation unit calculates the factory-ready date by adding the counted number of days for which the scheduled production number is counted to the current date. Further, if the number accumulated until the scheduled number of production on the last scheduled production day does not exceed the insufficient number, the lead time calculation unit 160 determines that the possible factory date cannot be calculated.

When the deliverable date cannot be calculated (step S305; "y"), the delivery date calculation unit 160 sets the deliverable date in the next and subsequent schedules, and therefore determines that the delivery cannot be carried out in the current schedule, sets the undeliverable flag to ON, and ends the delivery date calculation process. On the other hand, if the lead time calculation unit 160 can calculate the possible date of shipment (step S305; "n"), the calculated possible date of shipment is temporarily stored (step S307). When the number of stocks is not insufficient (step S303; n), the lead time calculation unit 160 calculates the date of shipment of the selected product as the current date (step S306), and temporarily stores the calculated date of shipment (step S307).

After the temporary storage, the lead time calculation unit 160 determines whether or not the factory possible date has been calculated for all the products to be placed in the order (step S308). When the deliverable date has not been calculated for all the products (step S308; n), the lead time calculation unit 160 repeats the processing of steps S302 to S308 until the deliverable date is calculated for all the products. On the other hand, when the deliverable date is calculated for all the products (step S308; y), the delivery date calculation unit 160 calculates the delivery date from the latest date among the calculated deliverable dates of all the products (step S309). After the delivery date calculation, the delivery date calculation unit 160 causes the delivery date display unit 170 to display the delivery date calculation result screen shown in fig. 8 based on the calculated delivery date, stores the calculated delivery date in the order-accepted order information storage unit 111 (step S310), and ends the delivery date calculation process.

As described above, according to the lead time calculation device 100 of the present embodiment, the following rate calculation unit 120 calculates the following rate, which is an example of the following ability of the supplier when the number of items required for manufacturing the ordered product changes due to the change of the schedule, based on the delivery performance of the supplier. The lead time calculation unit 160 calculates the lead time of the product to be ordered from the new schedule changed in accordance with the following rate calculated by the following rate calculation unit 120. Then, the lead time display unit 170 displays the calculated lead time by displaying a lead time calculation result screen.

Thus, the lead time calculation device 100 according to the present embodiment can calculate the following ability of the supplier based on the delivery performance of the supplier, and calculate the lead time of the product using the item based on the calculated following ability of the supplier. As a result, the lead time calculation device 100 according to the present embodiment can improve the accuracy of the lead time of the response client as compared with a lead time calculation device that does not calculate the following ability of the supplier from the delivery performance of the supplier or calculates the lead time of the product using the item from the calculated following ability of the supplier. In addition, the lead time calculation device 100 according to the present embodiment can improve the accuracy when the purchase quantity of the item is newly set based on the calculated following ability. As a result, the delivery date calculation device 100 according to the present embodiment can reduce the time and work load required to set or adjust the quantity of purchased articles and the quantity of stock, or can reduce the excess quantity of stock and the quantity of purchased articles by making the order to the supplier appropriate.

Here, it is one of the most important responsibilities for a manufacturer who manufactures a product in a large quantity to supply the product to a customer stably, and in order to comply with a delivery date agreed with the customer, it is extremely important to improve the accuracy of answering the delivery date of the customer. In a conventional delivery date answering method, after an order is received, a product stock is secured, and a delivery date is answered with reference to a production schedule associated with the product regarding an insufficient amount. However, in such a method, the influence of procurement delay of parts from the supplier is not taken into consideration, so there is a problem that schedule delay of assembly occurs due to shortage of parts, resulting in delay of lead time to the customer.

In particular, there are models in which the types and specifications of products are large, parts cannot be made common, the types of parts are large, and the period for purchasing and ordering parts is long. With such a product model, if the stock quantity of components required for safety determination is statistically calculated, the stock quantity tends to increase in any case. On the other hand, manufacturers have recently demanded reduction of stock, and many attempts have been made to reduce the number of parts to the minimum necessary. In such a manufacturer, the delivery date is adjusted in detail by replying a desired delivery date to a supplier who supplies components in accordance with the latest procurement plan. Therefore, if the adjustment fails, the stock becomes scarce and directly leads to shortage of parts. Therefore, making a production schedule, a procurement schedule, an assembly schedule, and the like that take into account delivery dates, delivery quantities, and the like of parts from suppliers and answering delivery dates to customers is extremely important for improvement of the delivery date compliance rate.

The lead time calculation means is a means for improving the accuracy of the lead time to be answered to the customer and reducing the delay of the lead time to the customer, based on the purchase plan of the item, the production plan of the product, and the like. However, in the conventional lead time calculation device, when an order is received from a customer, the number of stocks of products on the manufacturer side, a predicted date of completion of production, and the like are confirmed, but there is a problem that the number of stocks of components and the predicted date of delivery are not taken into consideration. In addition, in purchasing parts, the number of purchases in the new purchase plan may increase from the purchase plan at the time of ordering due to the purchase ordering period, and the supplier may be referred to before the delivery date at the time of ordering. However, if the supplier cannot follow the change of the procurement plan, shortage of parts cannot be avoided, and non-achievement of the production plan occurs.

In contrast, the lead time calculation device 100 according to the present embodiment can calculate a following rate, which is an ability that the supplier can follow when the procurement plan is changed, from the delivery results of the suppliers, and can calculate the lead time of the product to be ordered from the calculated following rate.

Therefore, the lead time calculation device 100 according to the present embodiment can calculate a lead time in consideration of the number of parts in stock, the predicted date of delivery, and the like, based on the follow-up rate of change of the supplier to the procurement plan, and the calculated lead time is closer to the actual state than the lead time calculated by the conventional lead time calculation device. As a result, the lead time calculation device 100 according to the present embodiment can improve the accuracy of the lead time of the response client, and can improve the lead time compliance rate.

In the present embodiment, the lead time calculation device 100 calculates the lead time by calculating the following ability of the supplier based on the change in the purchase quantity of the item while limiting the cause of the delay in delivery of the item used for the product to the change in the purchase plan of the item, but the present invention is not limited to this. For example, the lead time calculation device 100 may calculate the lead time by calculating the following ability of the supplier in consideration of not only the change in the purchased quantity of the item but also the change in the operation status of the equipment for assembling the product, the operation status of the staff, and the like. That is, the delivery period calculation device 100 may calculate the delivery period in consideration of changes in schedules other than the procurement schedule.

In the lead time calculation device 100 according to the present embodiment, the variation rate calculation unit 130 calculates the variation rate of the purchased quantity of the item based on the quantity obtained by accumulating the currently planned purchased quantity of the item and the quantity obtained by accumulating the previously planned purchased quantity of the item. The abundance ratio calculation unit 140 multiplies the following ratio calculated by the following ratio calculation unit 120 by the variation ratio calculated by the variation ratio calculation unit 130, and calculates the abundance ratio for each item in the current plan. Then, the delivery date calculation unit 160 calculates the delivery date of the product to be ordered from the new schedule changed according to the sufficiency calculated by the sufficiency calculation unit.

Thus, the delivery date calculation apparatus 100 according to the present embodiment can calculate the abundance ratio of the items in the current schedule based on the following rate of the change of the supplier to the schedule and the change rate of the number of purchased items, and can calculate the delivery date based on the calculated abundance ratio. As a result, the lead time calculation device 100 according to the present embodiment improves the accuracy of the lead time of the response customer compared to a lead time calculation device that does not calculate the abundance ratio of the item from the calculated follow-up ratio and the variation ratio or calculates the lead time of the product using the item from the calculated abundance ratio.

In addition, as described in the present embodiment, the delivery date calculation apparatus 100 preferably calculates the abundance ratio of the items and calculates the delivery date based on the calculated abundance ratio in order to improve the accuracy of the calculated delivery date, but is not limited thereto. For example, the delivery date calculation apparatus 100 may not calculate the sufficiency of the item, or may not calculate the delivery date based on the calculated sufficiency.

In the lead time calculation device 100 according to the present embodiment, the schedule change unit 150 changes the schedule when the abundance ratio calculated by the abundance ratio calculation unit 140 becomes equal to or less than a predetermined threshold value.

Thus, the lead time calculation device 100 according to the present embodiment can change to a new schedule according to the abundance ratio of the items, and can calculate the lead time of the product using the items according to the new schedule after the change. As a result, the lead time calculation device 100 according to the present embodiment can improve the accuracy of the lead time of the response customer compared to a lead time calculation device that does not calculate the lead time of the product to be ordered from the new schedule changed according to the abundance ratio of the items.

In addition, as described in the present embodiment, the delivery date calculation apparatus 100 preferably changes the schedule to a new schedule according to the abundance ratio of the items in order to improve the accuracy of the calculated delivery date, but the present invention is not limited thereto, and the new schedule may not be changed according to the abundance ratio of the items. For example, the lead time calculation device 100 may change the schedule to a new schedule according to the item following rate. Further, the lead time calculation device 100 preferably changes to a new schedule before calculating the lead time, but is not limited to this, and may not change to a new schedule before calculating the lead time as long as the lead time is calculated based on the following rate of the supplier.

Further, according to the lead time calculation device 100 of the present embodiment, the lead time calculation unit 160 calculates the lead time of the product by calculating the factory-possible date from the scheduled production number for each scheduled production day of the ordered product specified from the new schedule after the change.

Thus, the lead time calculation device 100 according to the present embodiment can improve the accuracy of the lead time of the response customer compared to a lead time calculation device that does not calculate the possible delivery date for each scheduled production day from the new schedule after the change.

In the present embodiment, in order to improve the accuracy of the calculated lead time, lead time calculation apparatus 100 calculates the possible shipment date from the scheduled number of productions for each of the scheduled production days, but may not calculate the possible shipment date from the scheduled number of productions for each of the scheduled production days. For example, the delivery period calculation apparatus 100 may calculate the possible delivery date from a change in the stock quantity of the product to be ordered after the current date.

In the lead time calculation device 100 according to the present embodiment, the following rate calculation unit 120 calculates the planned variation amount by subtracting the amount obtained by integrating the purchase amount of the item planned last time from the amount obtained by integrating the purchase amount of the item planned this time. The following rate calculation unit 120 calculates a following variation amount obtained by subtracting an amount obtained by adding up the purchase amount of the item planned the previous time from an amount obtained by adding up the supply amount supplied by adding up the supplier with the purchase amount of the item planned this time. Then, the following rate calculation unit 120 calculates the following rate by calculating the ratio of the number of following variations to the planned number of variations.

Thus, the lead time calculation device 100 according to the present embodiment can calculate the following rate with higher accuracy than a lead time calculation device that does not calculate the following rate by calculating the ratio of the number of follow-up variations to the scheduled variation number, and can improve the accuracy of the lead time of the response client.

In the present embodiment, the lead time calculation device 100 calculates the ratio of the follow-up variation amount to the planned variation amount as the follow-up ratio, but the method of calculating the follow-up ratio is not limited to this. For example, the lead time calculation device 100 may store the ratio of the number of follow-up variations calculated in the follow-up ratio calculation process to the scheduled variation number, and calculate the average of all the stored ratios as the follow-up ratio.

In the lead time calculation device 100 according to the present embodiment, the variation rate calculation unit 130 calculates the variation rate by multiplying the quantity obtained by accumulating the quantity of purchased articles scheduled this time by the quantity obtained by accumulating the quantity of purchased articles scheduled last time.

Thus, the lead time calculation device 100 according to the present embodiment can calculate the variation rate with higher accuracy than a lead time calculation device that does not calculate the variation rate by calculating the magnification, and can improve the accuracy of the lead time of the response client.

In the present embodiment, the lead time calculation device 100 calculates, as the variation rate, the magnification of the quantity obtained by integrating the quantity of purchased articles scheduled this time with respect to the quantity obtained by integrating the quantity of purchased articles scheduled last time. For example, the delivery date calculation apparatus 100 may calculate the magnification of the number of purchased articles scheduled this time to the number of purchased articles scheduled last time in the evaluation period a day, and calculate the average value of the calculated magnifications as the variation rate.

(modification example)

In the present embodiment, although the delivery date calculation apparatus 100 calculates the delivery date of the product ordered by the manufacturer from the customer, the configuration in which the delivery date calculation apparatus 100 orders the product, changes the purchase quantity, and the like will not be described. However, there may be a device or system including not only the above-described functions of the delivery date calculation device 100 but also functions of ordering articles, changing the number of purchased articles, and the like. For example, each function of the delivery date calculation apparatus 100 may be embedded in a conventionally known MRP (Material requirementing Planning) system.

Here, as an example of the above-described apparatus and system, there is considered an inventory management system that manages information indicating a reference quantity of an inventory of an item, information indicating an actual quantity of the inventory of the item, and information indicating a quantity of a plan required for the item, and automatically orders and supplements when the inventory of the item is insufficient. In this case, the inventory management system may automatically calculate the amount of the replenishment inventory based on the difference amount when the required planned amount of the item is updated and the difference amount obtained by subtracting the updated amount from the actual result amount of the inventory of the item is smaller than the reference amount, and may automatically order the replenishment inventory to the transaction destination.

For example, when the non-following rate, which is a rate at which the supply of the supplier cannot follow the purchase plan, is S (m, t), the reference number of stocks of the items can be calculated as a value obtained by multiplying the non-following rate S (m, t) by the current purchase number O (m, t). Specifically, the reference value of the stock of the item is a value calculated by the formula shown in the following formula 5.

[ formula 5]

Here, the non-following rate S (m, t) can be interpreted as a ratio of the purchase amount to be replenished by keeping the stock of the item in the factory according to the formula shown in formula 5. Since S (m, T) is satisfied as 1-T (m, T), the non-following rate S (m, T) can be calculated from the following rate T (m, T) calculated by the following rate calculation unit 120. For example, if the tracking ratio T (m, T) is 0.4, S (m, T) becomes 0.6 (1-0.4 — 0.6).

As a result, the inventory management system may include an inventory reference quantity calculation unit that calculates a reference quantity of the inventory of the items based on the non-following rate based on the following rate calculated by the following rate calculation unit 120 and the planned initial quantity of the items to be purchased. The inventory management system may further include an inventory replenishment quantity calculation unit configured to calculate a quantity of replenishment items to replenish the inventory of the items based on the difference quantity when the difference quantity obtained by subtracting the procurement quantity of the items from the actual quantity of the inventory of the items is smaller than the reference quantity of the inventory of the items calculated by the inventory reference quantity calculation unit. The inventory management system may further include an order information transmitting unit that transmits order information indicating that the supplier is to order the item whose quantity is calculated by the inventory replenishment quantity calculating unit.

Thus, the inventory management system can suppress a decrease in the sufficiency of the item by supplementing the shortage of the following capability in the inventory of the item based on the calculated reference number of the inventory of the item, and can expect to eliminate the delivery delay.

Even when the reference number of the stock of the item is statistically estimated, similarly to the case of estimating the ability of the supplier to follow, the reliability of the estimation result improves as the number of samples increases, and finally, the accuracy of the delivery date of the response can be expected to improve. Therefore, when estimating the reference number of inventories of the items, the reference number of inventories of the items in the new plan may be estimated from the reference number of inventories of the items in each evaluation period calculated by tracing back to a plurality of past evaluation periods. For example, the reference number of each evaluation period of T-0, -T, -2T, …, -nT may be calculated according to the formula shown in formula 5, and the average number of the calculated (n +1) reference numbers may be calculated as the reference number of stock of the new planned item. That is, the stock reference quantity calculating unit may calculate, as the reference quantity of stock of the new item, an average quantity of the 1 st reference quantity calculated from the 1 st period sample corresponding to T-0, the 2 nd reference quantity … calculated from the 2 nd period sample corresponding to T-T, and the (n +1) th reference quantity calculated from the (n +1) th period sample corresponding to T-nT.

In the present embodiment, the lead time calculation device 100 calculates the following rate, the variation rate, and the abundance rate for each item, but the present invention is not limited to this, and for example, the following rate, the variation rate, and the abundance rate for each item group may be calculated. In this case, for example, the lead time calculation device 100 may calculate the follow-up rate, the variation rate, and the abundance rate by grouping together components that vary by 1000 units and are difficult to recognize by 1 unit variation, for electronic substrate components having an order lot count of 1000 units and products having an order lot count of 1 large component. Thus, the lead time calculation device 100 can easily evaluate the execution probability of the assembly with good accuracy even when the total number of the whole components is unchanged as the number of each component is changed, for example.

In the present embodiment, the lead time calculation device 100 implements the functions of the storage unit 110, the following rate calculation unit 120, the change rate calculation unit 130, the sufficiency rate calculation unit 140, the schedule change unit 150, the lead time calculation unit 160, the lead time display unit 170, and the input unit 180 with a single computer, but is not limited thereto. For example, the delivery period calculation apparatus 100 may realize the function of the storage unit 110 by a database server different from that of the delivery period calculation apparatus 100. For example, the lead time calculation device 100 may realize the function of the schedule changing unit 150 by a computer different from the lead time calculation device 100. For example, the lead time calculation device 100 may realize the function of the input unit 180 by a mobile terminal of each user different from the lead time calculation device 100. That is, in the present disclosure, only the configuration in which the lead time calculation device 100 has the above-described functions is disclosed, but the present invention is not limited thereto, and may be configured as a lead time calculation system in which a plurality of computers each have the above-described functions. In this case, the lead time calculation system requires the transmission/reception unit 56 of the plurality of computers to transmit/receive information via the network.

The present disclosure is capable of various embodiments and modifications without departing from the broad spirit and scope of the present disclosure. The above embodiments are illustrative of the present disclosure, and do not limit the scope of the present disclosure. That is, the scope of the present disclosure is shown not by the embodiments but by the claims. Further, various modifications implemented within the meaning of the claims and the equivalent of the disclosure are considered to be within the scope of the present disclosure.

The present application is based on Japanese application No. 2020-. The entire specification, claims and drawings of Japanese application No. 2020 and 019460 are incorporated herein by reference.

Claims

1. A lead time calculation device is provided with:

a following rate calculation unit that calculates a following rate indicating a ratio of the quantity supplied by the supplier to a changed quantity, based on delivery results of the supplier, when the quantity of the requested items to the supplier changes due to a change in the plan;

a variation rate calculation unit that calculates a variation rate of the number of purchased articles based on the number of purchased articles in a current plan and the number of purchased articles in a plan immediately preceding the current plan;

a sufficiency rate calculation unit that calculates a sufficiency rate of the item on the current plan, based on the following rate calculated by the following rate calculation unit and the change rate calculated by the change rate calculation unit;

a delivery date calculation unit that calculates a delivery date of a product using the article, based on the sufficiency calculated by the sufficiency calculation unit; and

and a delivery date display unit that displays delivery date information indicating the delivery date calculated by the delivery date calculation unit.

2. The lead time calculation device of claim 1,

the system further comprises a schedule changing unit that changes the current schedule when the abundance ratio calculated by the abundance ratio calculating unit does not exceed a predetermined threshold.

3. The lead time calculation device according to claim 1 or 2,

the lead time calculation unit calculates the lead time of the product by calculating a factory-possible date of the product based on a predetermined number of days of production of the product determined from the schedule.

4. The lead time calculation device according to any one of claims 1 to 3,

the following rate calculation unit calculates a planned variation amount obtained by subtracting the number of purchased articles in the previous plan from the number of purchased articles in the current plan, calculates a following variation amount obtained by subtracting the number of purchased articles in the previous plan from the number of supplied articles that are supplied by the supplier in a following manner, and calculates the following variation amount obtained by calculating a ratio of the following variation amount to the planned variation amount.

5. The lead time calculation device according to any one of claims 1 to 4,

the change rate calculation unit calculates the change rate by calculating a magnification of the number of items purchased in the current plan relative to the number of items purchased in the previous plan.

6. The lead time calculation device according to any one of claims 1 to 5,

the following rate calculation unit calculates a new following rate from a 1 st following rate that is the following rate calculated in a 1 st period and a 2 nd following rate that is the following rate calculated in a 2 nd period, wherein the 2 nd period is a period before the 1 st period.

7. The lead time calculation device of claim 6,

the following ratio calculation unit may calculate the new following ratio based on an average value of the 1 st following ratio, the 2 nd following ratio, and a 3 rd following ratio that is the following ratio calculated in a 3 rd period, wherein the 3 rd period is a period before the 2 nd period, and when an average value of the 1 st following ratio and the 2 nd following ratio and an average value of the 2 nd following ratio and the 3 rd following ratio are in a predetermined relationship, the new following ratio may be calculated based on an average value of the 1 st following ratio and the 2 nd following ratio.

8. A lead time calculation method, comprising:

a following rate calculation step of calculating, by a computer, a following rate indicating a ratio of the quantity supplied by the supplier to a changed quantity, based on delivery results of the supplier, when the quantity of the item requested to the supplier changes due to a change in the plan;

a variation rate calculation step of calculating a variation rate of the quantity of the purchased items by the computer based on the quantity of the purchased items in the current plan and the quantity of the purchased items in a plan previous to the current plan; and

a lead time calculation step of calculating a lead time of a product using the item, based on the following rate calculated in the following rate calculation step and the variation rate calculated in the variation rate calculation step.

9. A program for causing a computer to function as:

a following rate calculation unit that calculates a following rate indicating a ratio of the quantity supplied by the supplier to a changed quantity, based on delivery results of the supplier, when the quantity of the item requested to the supplier changes due to a change in the plan;

a variation rate calculation unit that calculates a variation rate of the number of purchased articles based on the number of purchased articles in a current plan and the number of purchased articles in a plan immediately preceding the current plan; and

and a delivery date calculation unit that calculates a delivery date of a product using the article, based on the following rate calculated by the following rate calculation unit and the variation rate calculated by the variation rate calculation unit.