Supply chain management device

Abstract

The purpose of the present invention is to calculate an impact on a company constituting a supply chain, which results from a change in a supply amount of a procurement item due to a supply chain risk, and an effect of a countermeasure against the supply chain risk, and to facilitate a responding action. This supply chain management device manages a supply chain and is characterized by including: a risk monitoring unit that calculates, by using risk information acquired from an external device and component information and supplier information acquired from a storage unit, a supply chain risk amount representing a quantified supply chain risk that supply of a procurement item is delayed or interrupted; a risk scenario generation unit that generates a risk scenario related to a change in a supply amount of the procurement item due to the supply chain risk; a risk status determination unit that creates a countermeasure strategy against the supply chain risk on the basis of the risk scenario; and a production impact calculation unit that calculates an impact on a company constituting the supply chain on the basis of the risk scenario. The supply chain management device is also characterized by presenting, for each procurement item, the supply chain risk, a countermeasure strategy against the supply chain risk, or an impact of the supply chain risk.

Description

Supply chain management device

[0001] This invention relates to a supply chain management device.

[0002] In recent years, manufacturing supply chains have faced supply chain risks, such as delays or disruptions in the supply of procured goods due to incidents like natural disasters, wars, and conflicts. To prepare for these incidents, it is necessary to identify the parts that may be affected by supply delays or disruptions early on, understand the impact on production, and take measures such as arranging for alternative parts or increasing inventory. Conventionally, inventions of this kind have been described in Japanese Patent Publication No. 2019-86951 (Patent Document 1) and Japanese Patent Publication No. 2024-33510 (Patent Document 2).

[0003] Patent Document 1 describes a supply chain management system comprising: a supply chain information acquisition means for acquiring supply chain information representing the operating status of nodes constituting the supply chain and the operating status of links connecting the nodes; an anomaly information extraction means for extracting anomaly information indicating an anomaly of a node or a link from the supply chain information; a quality risk point assignment means for assigning quality risk points to the anomaly information, which quantify the amount of unmet target performance predicted from the anomaly information; a corresponding cost risk point assignment means for assigning corresponding cost risk points to the anomaly information, which quantify the cost required to recover from the anomaly predicted from the anomaly information; a delivery delay risk point assignment means for assigning delivery delay risk points to the anomaly information, which quantify the amount of delivery delay predicted from the anomaly information; and a supply chain risk data storage means for storing the data obtained by assigning the quality risk points, corresponding cost risk points, and delivery delay risk points to the anomaly information as supply chain risk data.

[0004] Further, Patent Document 2 describes "a corporate governance information providing apparatus that provides corporate governance information of a company, comprising: an information collection management unit that collects corporate financial data indicating the financial status of the company and compliance information; and a corporate governance information calculation unit that calculates corporate governance information indicating the compliance violation occurrence potential of the company based on the corporate financial data and the compliance information, wherein the apparatus provides the calculated corporate governance information."

[0005] Japanese Unexamined Patent Application Publication No. 2019-86951; Japanese Unexamined Patent Application Publication No. 2024-33510

[0006] In Patent Document 1, after an incident occurs, affected parts are identified, the impact is grasped, and countermeasures are implemented. However, after the incident has occurred, there are limitations to the countermeasures that can be taken, such as insufficient examination of alternative parts and difficulty in procurement due to concentrated orders, which may result in a large impact on business operations.

[0007] Further, in Patent Document 2, supply chain risks are assumed in advance based on ESG evaluations of suppliers. However, it is not possible to identify the parts affected and the impact period when an incident occurs, making it difficult to estimate the impact on production and calculate the expected effect of countermeasures.

[0008] An object of the present invention is to monitor the status of supply chain risks of procured goods, collect information on changes in quantity such as the degree and period of decrease in the supply quantity of procured goods and the recovery time, calculate the impact that companies constituting the supply chain receive due to changes in the supply quantity of procured goods and the effect of countermeasures against said supply chain risks, and promote responsive actions.

[0009] The present invention includes several means for solving at least some of the above problems, but an example is as follows: A supply chain management device for managing a supply chain, comprising: a risk monitoring unit that calculates a supply chain risk amount, which quantifies the supply chain risk of supply delays or interruptions in the supply of procured goods, from risk information acquired from an external device and component information and supplier information acquired from a storage unit; a risk scenario generation unit that generates risk scenarios regarding changes in the supply quantity of procured goods due to supply chain risks; a risk status determination unit that formulates countermeasures against supply chain risks based on the risk scenarios; and a production impact calculation unit that calculates the impact on companies constituting the supply chain based on the risk scenarios, and is characterized by presenting supply chain risks, countermeasures against supply chain risks, or the impact of supply chain risks for each procured item.

[0010] The present invention aims to calculate the impact on companies constituting a supply chain due to changes in the supply volume of procured goods caused by supply chain risks, the effectiveness of countermeasures against such supply chain risks, and to encourage appropriate actions.

[0011] Other issues, configurations, and effects not mentioned above will be clarified by the following description of embodiments for carrying out the invention.

[0012] This is a diagram showing an example configuration of a supply chain management system. This is a diagram showing an example of a data table for the risk information DB. This is a diagram showing an example of a data table for the parts information DB. This is a diagram showing an example of a data table for the company information DB. This is a diagram showing an example of a data table for the risk scenario information DB. This is a diagram showing an example of a data table for the product information DB. This is a diagram showing an example of a data table for the customer information DB. This is a diagram showing an example of a data table for the planning information DB. This is a diagram showing an example of a data table for the production impact / countermeasure effectiveness information DB. This is a diagram showing an example of a data table for the production impact / countermeasure effectiveness information DB. This is an example of a flowchart showing the processing operation of the supply chain management system. This is a diagram showing an example of a screen display of acquired risk information. This is a diagram showing an example of a screen display of the calculated supply chain risk amount. This is a diagram showing an example of a screen display of the calculated supply chain risk amount. This is an example of a table that defines recommended actions based on risk status and patterns. This is a diagram showing an example of a screen display of the settings and generation results for risk scenario generation. This is a diagram showing an example of a screen display of the calculation results of production impact. This is a diagram showing an example of a screen display of setting countermeasure proposals for risks. This is a diagram showing an example of a screen display of the calculation results of the effects of the countermeasure proposals. This is a diagram showing an example of a data table for the parts configuration information DB.

[0013] Hereinafter, embodiments (examples) for carrying out the present invention will be described in detail with reference to the figures as appropriate.

[0014] The examples provided are illustrative for illustrating the present invention, and have been omitted and simplified as appropriate for clarity of explanation. The present invention can also be implemented in various other forms. Unless otherwise specified, each component may be singular or plural.

[0015] The positions, sizes, shapes, and ranges of the components shown in the drawings may not represent their actual positions, sizes, shapes, and ranges in order to facilitate understanding of the invention. Therefore, the present invention is not necessarily limited to the positions, sizes, shapes, and ranges disclosed in the drawings.

[0016] Examples of various types of information may be described using terms such as "table" and "list," but these types of information may also be represented by other data structures. For example, various types of information such as "XX table" and "XX list" may also be referred to as "XX information." When describing identification information, terms such as "identification information," "identifier," "name," "ID," and "number" are used, but these terms are interchangeable.

[0017] When there are multiple components with the same or similar function, they may be described using the same symbol but with different subscripts. Furthermore, when it is not necessary to distinguish between these multiple components, the subscripts may be omitted in the description.

[0018] In the examples, the processes performed by executing a program may be described. Here, the computer executes the program using a processor (e.g., CPU, GPU) and performs the processing defined in the program using memory resources (e.g., memory) and interface devices (e.g., communication ports). Therefore, the main entity performing the processing by executing the program may be the processor. Similarly, the main entity performing the processing by executing the program may be a controller, device, system, computer, or node having a processor. The main entity performing the processing by executing the program may be an arithmetic unit, and may include dedicated circuits that perform specific processing. Here, dedicated circuits include, for example, FPGAs (Field Programmable Gate Arrays), ASICs (Application Specific Integrated Circuits), CPLDs (Complex Programmable Logic Devices), etc.

[0019] The program may be installed on the computer from the program source. The program source may be, for example, a program distribution server or a storage medium readable by the computer. If the program source is a program distribution server, the program distribution server includes a processor and storage resources for storing the program to be distributed, and the processor of the program distribution server may distribute the program to other computers. In addition, in the embodiment, two or more programs may be implemented as one program, or one program may be implemented as two or more programs.

[0020] Figure 1 shows an example of the configuration of the supply chain management device 100 in this embodiment. The supply chain management device 100 collects information on various risk items (such as the management status of parts manufacturers, natural disasters, wars, and conflicts) that may cause supply chain risks from one or more external devices 102 via a communication line 101. The external devices 102 include devices or websites that can acquire information on trading partners, and websites that provide information on the region or country (news, weather information, etc.). The supply chain management device 100 and the external devices constitute a supply chain risk management system.

[0021] In this embodiment, we assume a scenario where a supplier (company) delivers (procures) parts, our company, as the buyer, uses those parts to manufacture products, and then delivers those products to customers.

[0022] The supply chain management device 100 consists of a processing unit 110, a main memory unit 120, an auxiliary memory unit 130, an input unit 140, a display unit 150, a communication unit 160, and signal lines 170 connecting these, and is implemented, for example, by a computer device.

[0023] The processing unit 110 is a processor device such as a CPU, and in addition to executing a predetermined program stored in the main memory unit 120, it has the function of managing and controlling the supply chain management device 100 as a whole. Furthermore, in the following description, unless the main entity performing the processing is explicitly stated, the processing unit 110 will perform the processing according to the predetermined program.

[0024] The main memory unit 120 includes a risk monitoring unit 121, a risk status determination unit 122, an information gathering unit 123, a risk scenario generation unit 124, a production impact calculation unit 125, and a countermeasure necessity determination unit 126. These are programs, and the processing unit 110 executes each of these programs to function as a unit.

[0025] The risk monitoring unit 121 collects incidents (risk information) that are factors in supply chain risk, calculates the amount of supply chain risk, and presents it to the user. Here, "supply chain risk" refers to delays and / or interruptions in the supply of procured goods, and "amount of supply chain risk" is a numerical representation of its magnitude.

[0026] The risk status determination unit 122 determines the risk status and recommended actions based on the supply chain risk amount and other factors calculated by the risk monitoring unit 121.

[0027] The risk scenario generation unit 124 predicts (generates) the time course (risk scenario) of the supply volume of procured goods. The information collection unit 123 selects and collects the data necessary for generating the risk scenario from the risk information.

[0028] The production impact calculation unit 125 calculates the production volume, inventory levels, and trends of the sourcing company and the supplier company under conditions where supply chain risks exist.

[0029] The countermeasure necessity determination unit 126 considers the impact and cost of the risk countermeasure proposed by the supply chain management device 100 and decides whether or not to actually adopt the proposed countermeasure. However, the system may be configured without the countermeasure necessity determination unit 126 itself, for example, by only presenting the countermeasure proposals and having a staff member make the decision on their adoption.

[0030] The auxiliary storage unit 130 includes a risk information database (DB) 131, a parts information DB 132, a supplier information DB 133, a risk scenario information DB 134, a product information DB 135, a customer information DB 136, a planning information DB 137, a production impact / countermeasure effectiveness information DB 138, a performance information DB 139, and a parts configuration information DB 180. The contents of each DB will be explained below using Figures 2 to 9 (A, B) and Figure 18. Note that the numerical values ​​in each DB are examples to explain their contents and may not necessarily be consistent with the numerical values ​​in the figures or the screen display examples described later.

[0031] Figure 2 shows an example of the data table 200 of the risk information DB 131, and the data items include risk ID 201, source 202, risk item 203, name 204, acquisition date 205, occurrence date 206, risk status 207, and recommended action 208. Note that all data except risk status 207 and recommended action 208 are acquired from an external device 102 by the risk monitoring unit 121.

[0032] Figure 3 shows an example of the data table 300 of the parts information DB 132, which manages information about parts used when manufacturing products delivered to customers. The data items include part ID 301, part name 302, model number 303, supplier ID 304, and risk amount 305. All data except the risk amount 305 are registered in advance by an administrator or similar person and updated at predetermined intervals.

[0033] Figure 4 shows an example of the data table 400 of the supplier information DB 133, which manages information (referred to as company information or supplier information) of companies that are the recipients (purchasers) of parts used in the manufacturing of products. The data items include company ID 401, company name 402, address 403, capital stock 404, and management rating 405. Note that company ID 401 corresponds to supplier ID 304 in Figure 3. Furthermore, each of these data items is registered in advance by an administrator or the like and updated at predetermined intervals.

[0034] Figure 5 shows an example of the data table 500 of the risk scenario information DB 134, and the data items include risk scenario ID 501, risk item 502, risk ID 503, supplier ID 504, part ID 505, supply date and time 506, and supply quantity 507. Note that risk ID 503 corresponds to risk ID 201 in Figure 2, supplier ID 504 corresponds to company ID 401 in Figure 4 (supplier ID 304 in Figure 3), and part ID 505 corresponds to part ID 301 in Figure 3. Each of these data is used to manage each risk scenario generated by the risk scenario generation unit 124, and the risk scenario ID 501 allows referencing of risk scenarios stored in a predetermined area in the auxiliary storage unit 130.

[0035] Figure 6 shows an example of a data table 600 in the product information DB 135, which manages products delivered to customers. The data items include product ID 601, product name 602, and format 603. Each of these data items is registered in advance by an administrator and updated at predetermined intervals.

[0036] Figure 7 shows an example of a data table 700 in the customer information DB 136, which manages customer information for the recipients of manufactured products. The data items include customer ID 701, customer name 702, and contact information 703. Each of these data items is registered in advance by an administrator or similar person and updated at predetermined intervals.

[0037] Figure 8 shows an example of the data table 200 of the planning information DB 137, which manages delivery plans to customers. The data items include year, month, and day 801, customer ID 802, product ID 803, and quantity 804. Note that customer ID 802 corresponds to customer ID 701 in Figure 7, and product ID 803 corresponds to product ID 601 in Figure 6. These data items are registered in advance by an administrator or similar person and updated at predetermined intervals.

[0038] Figure 9A is a diagram showing an example of data table 900 of the Production Impact / Countermeasure Effectiveness Information DB138, and the data items include Risk Scenario ID 901, Simulation (Sim) ID 902, Sim Conditions 903, Company ID 904, Part / Product ID 905, Date 906, Production Quantity 907, Inventory Quantity 908, and Shipment Quantity 909. Note that Risk Scenario ID 901 corresponds to Risk Scenario ID 501 in Figure 5, Company ID 904 corresponds to Company ID 401 in Figure 4, and Part / Product ID 905 corresponds to Part ID 301 in Figure 3 / Product ID 601 in Figure 6.

[0039] Furthermore, Figure 9A shows the results of a simulation calculated by the production impact calculation unit 125 for the production impact when the risk scenario ID is RS001, showing the production quantity of part P0001 / product PR0001 (907), inventory quantity (908), and shipment quantity (909), as of the year, month, and day 906. Specifically, 920 shows the changes in the production quantity (907 / inventory quantity (908 / shipment quantity (909) of part (P0001) produced by the supplier), 921 shows the changes in the inventory quantity (908) of part (P0001) held by the buyer, and 922 shows the changes in the production quantity (907 / inventory quantity (908 / shipment quantity (909) of product (PR0001) produced by the buyer).

[0040] Figure 9B, like Figure 9A, is a diagram showing an example of the data table 900 of the Production Impact / Countermeasure Effectiveness Information DB138, illustrating the effect of implementing predetermined countermeasures against a risk scenario. Specifically, by implementing countermeasures against the results in Figure 9A, the inventory of parts (P0001) held by the buyer increases (improves) as shown in 931, and the production quantity (PR0001) produced by the buyer (907) / inventory quantity (908) also increases (improves) as shown in 932.

[0041] The performance information DB139, although details are omitted here, records past performance data and the like in this supply chain management device 100, and may be configured without it.

[0042] FIG. 18 is a diagram showing an example of the data table 1800 of the component configuration information DB 180, which includes, as data items, a parent ID 1801 and a child ID 1802. Each of these pieces of data is registered in advance by an administrator or the like, and is updated at a predetermined timing.

[0043] Next, the processing operation of the supply chain management apparatus 100 will be described. FIG. 10 is an example of a flowchart showing the processing operation in the supply chain management apparatus 100 according to the present embodiment.

[0044] In step S010, a risk monitoring unit 121 collects risk information that can be a factor of supply chain risk from an external device 102 via a communication unit 160. Here, the risk information includes "excess demand and concentration of procured goods", "price surge of raw materials and the like", "occurrence of natural disasters, violation of laws and regulations, etc.", "war / conflict", "strengthening of regulations by authorities", "deterioration of financial condition / bankruptcy of procured goods enterprises", "cyber attacks" and the like. The acquired risk information is stored in the risk information DB 131 in the format of the data table 200 shown in FIG. 2 (risk status 207 and recommended action 208 are additionally written at the timing when subsequent processing is performed). Further, the information may be displayed on the display unit 150 as shown in FIG. 11. Note that in FIG. 11, "risk status" and "determination status" correspond to the "pattern" and "risk status" specified in step S020 described later.

[0045] In step S011, the risk monitoring unit 121 obtains part information and supplier information from the part information DB 132 and supplier information DB 133, respectively, and uses the risk information obtained in step S010 to calculate the supply chain risk amount. Here, the supply chain risk amount is a numerical representation of the magnitude of the risk, which is determined by comprehensively judging the amount, duration, and probability of supply delays and / or interruptions in the supply of procured goods, and is calculated for each of the parts used in the target product. That is, for each individual part, a predetermined value (or a value modified considering the frequency of occurrence and impact) according to the type of risk information described above (natural disaster, war, etc.) is added together with a numerical risk amount that takes into account the product axis (product field) of the procured goods (parts) based on the part information DB 132, the country / region of the manufacturer of the procured goods, the management status, etc., to calculate the supply chain risk amount for all parts. The supply chain risk amount calculated for each individual part is added as the risk amount 305 in the data table 300 of Figure 3.

[0046] In step S012, the risk monitoring unit 121 displays the risk information acquired in step S010 and the supply chain risk amount calculated in step S011 on the display unit 150 as shown in Figure 12A. Specifically, the upper section 1201 shows the risk amount of all parts used in the target product for each risk factor, with the numerical value and magnitude indicated by a circular indicator, and whether it is increasing or decreasing is indicated by the slope of an arrow. These risk amounts may be the sum of the individual risk amounts of all parts, or they may be the average value, etc. Also, the same display may be shown for individual parts.

[0047] Furthermore, in the lower left section 1202, the risk amount is shown for each risk factor for each component of the target product. In addition, in the lower right section 1203, for a specific component, the frequency of occurrence, the impact, and the risk amount calculated from them (in this example, the sum of the frequency of occurrence and the impact) are shown for each risk factor (risk item).

[0048] FIG. 12B shows another example of screen display, which displays the supply chain risk amount for each country / region, industry, company, and component (procured product). The upper row 1205 shows the calculated supply chain risk amount, and particularly for components with significant risk (large risk amount), the number thereof is also displayed in a bar graph. The left side of the upper row shows the supply chain risk amount for all components of the own company, the center of the upper row shows the supply chain risk amount per supplier handled by the user (logged-in user) who has logged in and is operating the supply chain management apparatus 100, and the right side of the upper row shows the supply chain risk amount per component handled by the logged-in user. In addition, the lower row shows the magnitude (importance) of the supply chain risk amount in a 5-level evaluation (where "5" indicates the highest importance) for each country (regional axis) 1206 and each industry (product axis) 1207. Changes in the supply chain risk amount may be displayed based on the current value, future predicted value, profile, and the like of the supply chain risk amount.

[0049] In step S020, the risk status determination unit 122 determines the risk status based on the supply chain risk amount calculated in step S011 and the influence range (country, region) of the supply chain risk, and identifies a pattern based on information such as the time axis, propagation shape, accuracy, and influence range of the risk information acquired in step S010.

[0050] The risk status has three types according to the risk amount and the magnitude of the propagation range: "Countermeasure Required", which requires urgent countermeasures, "Continuous Monitoring", which does not require immediate countermeasures but may require countermeasures depending on future situations and thus requires continuous monitoring, and "Completed", which is applied when all countermeasure processes described below have been completed. Here, the status can be either "Countermeasure Required" or "Continuous Monitoring".

[0051] Also, as the pattern, it is specified whether the acquired risk information is "Occurred", which indicates that the incident has already occurred (such as an earthquake occurring in the XX region), or "Precursor", which indicates that the incident has not occurred yet but has a high probability of occurring in the near future (such as increasing momentum for the outbreak of war in the procured product manufacturing country or its neighboring countries).

[0052] In step S030, the risk status determination unit 122 determines a recommended action based on the risk status and pattern obtained in step S020, according to the recommended action determination table shown in Figure 13. For example, if the risk status is "Continue monitoring", the recommended action is "Collect risk information" regardless of whether the pattern is "Occurrence" or "Precursor". If the risk status is "Countermeasures required", the recommended action is "Collect supplier status" if the pattern is "Occurrence", and "Generate risk scenario" if the pattern is "Precursor".

[0053] If the recommended action in step S030 is determined to be "Supplier status collection," then in step S040, the risk status determination unit 122 inquires about the status of the supplier of the part and collects information regarding the occurrence of supply chain risks.

[0054] If the recommended action in step S030 is determined to be "Risk Scenario Generation," then in step S050, the Risk Scenario Generation Unit 124 uses a simulator to predict changes in the supply volume of procured goods due to supply chain risks. The Information Gathering Unit 123 acquires the data necessary for the prediction from the supplier's supply plan, the risk information collected in step S010, the product information DB 135, the customer information DB 136, the planning information DB 137, and the parts configuration information DB 180, and inputs it into the simulator. The prediction results are displayed on the display unit 150, and the reference information is recorded in the Risk Scenario Information DB 134.

[0055] Figure 14 shows an example of the settings for risk scenario generation and the screen display of the generation results. Specifically, the basic settings for the company / location, target parts, reference data, etc., are set in the basic settings unit 1401, and when the scenario generation button 1402 is pressed, the trend of the predicted value (relative value) of the production volume of the target parts is obtained as the scenario generation result (relative value) 1403. Furthermore, the assumed incident occurrence date, supplier supply capacity, supplier parts inventory, etc., are set in the scenario generation setting parameter setting unit 1405, and when the scenario generation button 1406 is pressed, the supply forecast from the supplier is obtained as the scenario generation result 1407, based on the scenario generation result (relative value) 1403 and the supplier supply plan 1404. Note that the settings in the basic settings unit 1401 and the scenario generation setting parameter setting unit 1405 may be set together to directly generate and display the scenario generation result 1407.

[0056] If the recommended action is determined to be "gather risk information" in step S030 (step S055), the process returns to step S010 and the above steps are repeated.

[0057] In step S060, the production impact calculation unit 125 calculates the production impact on the procuring company and the supplier company using a simulator, etc., based on the supplier status information collected in step S040 and the risk scenario generated in step S050. The results are displayed on the display unit 150 and recorded in the production impact / countermeasure effectiveness information DB 138. Figure 15 shows an example of the screen display of the calculation results. Specifically, screen 1501 shows the impact propagation in the supply chain of the part in question, indicating that impacts are occurring at "DEF Metal" and "ABC Industries" in the route through which the part is supplied to the company. Screen 1502 shows the trends in production volume, inventory volume, and shipment volume (relative values ​​(%) to planned values, respectively) over time as PSI for "DEF Metal," "ABC Industries," and "the company." Screen 1503 shows the difference in the company's sales, on-time delivery rate, and inventory value in normal times and under the risk scenario, in tabular format, based on the calculated PSI.

[0058] In step S061, the risk status determination unit 122 displays a screen on the display unit 150 prompting the user to set (select) countermeasures for the risk. Figure 16 shows an example of a countermeasure setting screen, where the user can select one of the following as a candidate for a countermeasure: change of parts safety stock standard 1601, change of procurement conditions 1602, procurement from alternative suppliers 1603, or design change (change of parts used) 1604, and then change and set the conditions for each and register them. In addition, the production impact calculation unit 125 calculates the production impact of implementing the set countermeasure as the "countermeasure effect" using a simulator or the like, similar to step S060, and displays the result on the display unit 150 and records it in the production impact / countermeasure effect information DB 138.

[0059] Figure 17 shows an example of a screen display of the calculated effects of the proposed countermeasures. In this example, "Switching to an alternative supplier" is selected as the countermeasure, and "GHI Metal," the alternative supplier for "DEF Metal," is displayed on screen 1701. Screen 1702, similar to screen 1502 in Figure 15, shows the trends in production volume, inventory volume, and shipment volume for "DEF Metal," "ABC Industries," and "our company" over time, assuming no countermeasures are taken. On the other hand, screen 1703 shows the trends in production volume, inventory volume, and shipment volume for the alternative supplier "GHI Metal" over time. Furthermore, screen 1704 shows in tabular format the difference in our company's sales, on-time delivery rate, and inventory value with and without this countermeasure (switching to "GHI Metal").

[0060] In step S070, the risk status determination unit 122 determines the risk status again based on the production impact calculated in step S060 and the effectiveness of the countermeasures calculated in step S061. For example, if the magnitude of the production impact is such that no countermeasures are necessary, or if the expected effect is not anticipated, or if the cost of implementing countermeasures is unexpectedly large and not cost-effective, then it is determined that "countermeasures are not required" (no countermeasures are needed).

[0061] In step S080, if the result of the judgment in step S070 is not "Action Required," the process returns to step S010 and monitoring continues. If the result is "Action Required," the process proceeds to step S090.

[0062] Step S090 is used to receive information on the implementation status of countermeasures. For example, if "procurement from an alternative supplier" is selected as a countermeasure, the user can manually confirm that an order has been placed with the alternative supplier and enter (receive) the information, or it can be automatically entered from a linked purchasing system, etc. Once all countermeasures are completed, the risk status is updated to "completed," and this processing flow ends.

[0063] As explained above, this embodiment makes it possible to monitor the supply chain risk status of procured goods, collect information on changes in quantity such as the degree and duration of the decrease in the supply of procured goods and the timing of its recovery, calculate the impact on companies constituting the supply chain due to changes in the supply of procured goods, and calculate the effectiveness of countermeasures against such supply chain risks, while also prompting appropriate actions.

[0064] Furthermore, the above-described embodiment can be modified or added to to the extent possible. For example, measures against supply chain risks, their effects, and actual results can be stored in the actual information DB 139, and the status judgment criteria and judgment methods of the risk status judgment unit 122 can be updated by learning the results of the status judgment criteria and judgment methods when the effects were high as training data. Alternatively, a learning unit can be provided in the production impact calculation unit 125 to update the calculation method for the impact on each company by learning the results of the calculation method with high accuracy as training data.

[0065] 100: Supply chain management device 101: Communication line 102: External device 110: Processing unit 120: Main memory unit 130: Auxiliary memory unit 140: Input unit 150: Display unit 160: Communication unit 170: Signal line

Claims

1. A supply chain management device for managing a supply chain, comprising: a risk monitoring unit that calculates a supply chain risk amount, which is a numerical representation of the supply chain risk of supply delays or interruptions in the supply of procured goods, from risk information acquired from an external device and component information and supplier information acquired from a storage unit; a risk scenario generation unit that generates risk scenarios relating to changes in the supply quantity of the procured goods due to the supply chain risk; a risk status determination unit that formulates countermeasures against the supply chain risk based on the risk scenario; and a production impact calculation unit that calculates the impact on companies constituting the supply chain based on the risk scenario, wherein the device presents the supply chain risk, countermeasures against the supply chain risk, or the impact of the supply chain risk for each procured item.

2. A supply chain management device according to claim 1, wherein the risk monitoring unit presents the supply chain risk amount classified by country / region, industry, company, and procured item.

3. A supply chain management device according to claim 1, wherein the risk monitoring unit presents changes in the supply chain risk quantity based on the current value, future forecast value, and profile of the supply chain risk quantity.

4. A supply chain management device according to claim 1, wherein the risk status determination unit determines one of the following statuses based on the supply chain risk amount: monitoring to continue, countermeasures required, or completed.

5. A supply chain management device according to claim 4, wherein the risk status determination unit determines a pattern of the impact of the supply chain risk on the sourcing company based on information such as the time axis, propagation shape, accuracy, and scope of impact, and instructs recommended actions according to the status and the pattern.

6. A supply chain management device according to claim 5, wherein the risk scenario generation unit generates a supply chain risk scenario showing the trend of the supply quantity of the procured goods based on the content of the recommended action instructions from the risk status determination unit.

7. A supply chain management device according to claim 1, wherein the production impact calculation unit presents the trends in production volume, inventory volume, and shipment volume at the sourcing company and the supplier company over time.

8. A supply chain management device according to claim 1, wherein the production impact calculation unit presents the changes in production volume, inventory volume, and shipment volume at the sourcing company and the supplier company over time, when the proposed countermeasures for the supply chain risk are implemented.

9. A supply chain management device according to claim 8, characterized in that it has a learning unit that accumulates countermeasures, their effects, and results against the supply chain risks, learns the results of the status judgment criteria and judgment method in the risk status judgment unit when the effect was high as training data, and updates the status judgment criteria and judgment method.

10. A supply chain management device according to claim 9, wherein the learning unit learns the results of a calculation method with high accuracy as training data for the calculation method of the impact on each company in the production impact calculation unit, and updates the calculation method.

11. A supply chain management device according to claim 1, characterized in that it has a countermeasure necessity determination unit that determines whether or not a countermeasure plan formulated by the risk status determination unit can be implemented.

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