Physical distribution simulator device, method for creating operation plan, program, and method for operating iron mill

JPWO2025164292A5Active Publication Date: 2026-01-06JFE STEEL CORP
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Patent Information

Application Number
JP2025521190
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-04-11
Publication Date
2026-01-06
Estimated Expiration
2045-01-14

AI Technical Summary

Technical Problem

Conventional logistics simulations struggle to flexibly respond to changes in conditions, such as the addition, removal, or conflict of equipment, requiring redefinition of routes and conflict tables, which complicates the selection of usable transport routes.

Method used

A logistics simulator device that simulates logistics by defining connection relationships between facility elements, manages inventory, and searches for transportable routes by combining small routes separated by facility elements, allowing flexible response to changing conditions.

Benefits of technology

Enables quick provision of usable transport routes in response to changes, ensuring efficient material transport and consistent inventory management, contributing to high-quality steel production.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

This physical distribution simulator device comprises: an input information acquisition module (301); a reception plan generation module (302); a router module (303); a processing material inventory site module (304); a processing facility warehouse module (306); a processing facility module (305); and a controller module (307). The controller module (307) uses the router module (303) to search for a route by which a material can be transported. The router module (303) searches for a route that allows transport by combining small routes, which are route segments defined by facility elements.
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Description

Logistics simulator device, operation plan creation method, program, and steelworks operation method

[0001] The present disclosure relates to a logistics simulator device, an operation plan creation method, a program, and a method for operating a steelworks.

[0002] In the transportation operations of processed materials, etc., technology is being developed to improve efficiency by inputting operation plans, equipment capacity, etc., conducting simulations, and reflecting the results in operations.

[0003] For example, Patent Document 1 discloses a simulation program generation device that reduces the burden on designers when creating simulation programs that simulate the operation of each device in a manufacturing plant, the movement of workpieces, and process phenomena. Patent Document 2 also describes how a logistics simulator device can be used to reproduce and visualize the logistics of sending raw materials to the next process, display inventory trends, and determine whether or not operations can be performed, thereby enabling refinement of plans and improvement of operations.

[0004] Japanese Patent No. 6468000 Japanese Patent Application Laid-Open No. 2023-118069

[0005] In conventional logistics simulations, routes are selected by listing route candidates to a destination and eliminating competing routes. Routes are defined by a combination of the origin, destination, and equipment used, and they must be redefined if, for example, new equipment is added or removed. Furthermore, route conflicts also require redefinition, making it difficult to flexibly respond to changing conditions.

[0006] The purpose of the present disclosure, which has been made to solve the above problems, is to provide a logistics simulator device, an operation plan creation method, a program, and a steelworks operation method that can achieve efficiency, which can quickly provide usable transport routes in response to changes in conditions.

[0007] (1) A logistics simulator device according to an embodiment of the present disclosure is a logistics simulator device that simulates logistics for transporting materials to a next process, comprising: an input information acquisition module that acquires an equipment layout, a receiving plan, inventory information, a stockroom plan, an operation plan, equipment capacity, a start date and time, an end date and time, and a unit time of a simulation; a receiving plan generation module that generates one or more berths according to the equipment layout, the receiving plan, and the stockroom plan, and generates a receiving plan for the stockroom; a route module that defines a connection relationship between equipment elements in the simulation according to the equipment layout; a processed material stockroom module that generates the stockroom, which is the equipment element, according to the equipment layout, and manages inventory by increasing or decreasing the inventory in the stockroom; an in-processing facility warehouse module that generates one or more processing equipment, which is the equipment element, according to the equipment layout, and sets maximum inventory and initial inventory for the processing equipment according to inventory information, increases or decreases inventory for the processing equipment, and creates a withdrawal plan; and a processing equipment module that determines an inventory amount required in the in-processing facility warehouse module according to the operation plan. a controller module that acquires the receiving plan and the dispensing plan, manages the receiving plan and the dispensing plan, and executes a simulation in accordance with the equipment capacity, the start date and time, the end date and time of the simulation, and the unit time, wherein the controller module uses the route module to search for a route by which the material can be transported, and the route module searches for a route by which the material can be transported by combining small routes that are paths separated by the equipment elements.

[0008] (2) As an embodiment of the present disclosure, in (1), the input information acquisition module acquires an equipment shutdown plan, and the route module searches for the possible transport route in accordance with the equipment shutdown plan.

[0009] (3) As one embodiment of the present disclosure, in (1) or (2), a plurality of the transportable routes are listed.

[0010] (4) An operation plan creation method according to one embodiment of the present disclosure includes: acquiring simulation results from a logistics simulator device according to any one of (1) to (3); and, if it is determined from the simulation results that the simulation has terminated abnormally, causing the logistics simulator device to acquire the operation plan modified based on the simulation results and execute the simulation again.

[0011] (5) A program according to an embodiment of the present disclosure is a program that causes a computer to function as a logistics simulator device that simulates logistics for transporting materials to a next process, comprising: an input information acquisition module that acquires an equipment layout, a receiving plan, inventory information, a stockroom plan, an operation plan, equipment capacity, a start date / time, an end date / time, and a unit time of a simulation; a receiving plan generation module that generates one or more berths according to the equipment layout, the receiving plan, and the stockroom plan, and generates a receiving plan for the stockroom; a route module that defines a connection relationship between equipment elements in the simulation according to the equipment layout; a processed material stockroom module that generates the stockroom, which is the equipment element, according to the equipment layout, and manages inventory by increasing or decreasing the inventory in the stockroom; an in-processing facility warehouse module that generates one or more processing equipment, which is the equipment element, according to the equipment layout, sets maximum inventory and initial inventory for the processing equipment, increases or decreases inventory for the processing equipment, and creates a withdrawal plan; and a processing equipment module that determines an inventory amount required in the in-processing facility warehouse module according to the operation plan. The controller module functions as a controller module that acquires the receiving plan and the dispensing plan, manages the receiving plan and the dispensing plan, and executes a simulation in accordance with the equipment capacity, the start date and time, the end date and time of the simulation, and the unit time, and the controller module uses the route module to search for a route by which the material can be transported, and the route module searches for a route by which the material can be transported by combining small routes that are paths separated by the equipment elements.

[0012] (6) In an embodiment of the present disclosure, a method for operating a steelworks includes the following steps: (1) obtaining an optimized operation plan, which is the operation plan when it is determined from the simulation results that the simulation has ended normally, in the method for creating an operation plan of (4), where the next step is a step of blending raw materials to be charged into a blast furnace; and (2) transporting the raw materials based on the optimized operation plan.

[0013] According to the present disclosure, it is possible to provide a logistics simulator device, an operation plan creation method, a program, and a steelworks operation method that can achieve efficiency, which can quickly provide usable transport routes in response to changes in conditions.

[0014] FIG. 1 is a schematic diagram showing the logistics flow of raw coal charged into a blast furnace together with iron ore. FIG. 2 is a diagram showing a schematic configuration of a logistics simulator device including its relationship with a higher-level system. FIG. 3 is a diagram showing the configuration of a logistics simulator device according to an embodiment of the present disclosure. FIG. 4 is a diagram showing an example of a receiving plan. FIG. 5 is a diagram showing an example of a discharging plan. FIG. 6 is a diagram showing an example of a table defining small routes. FIG. 7 is a diagram showing an example of a line conflict table. FIG. 8 is a diagram showing an example of a display of inventory amounts, etc.

[0015] Hereinafter, a logistics simulator device, an operation plan creation method, a program, and a steelworks operation method according to an embodiment of the present disclosure will be described with reference to the drawings.

[0016] The logistics simulator according to this embodiment simulates the logistics of transporting materials to the next process. While the logistics that the logistics simulator can target are not limited, this embodiment describes an example of the logistics of raw coal in a coal storage yard 102 (see FIG. 1 ), which is carried out as part of the operation of a steelworks. In the steel industry, iron ore, which is iron oxide, is charged into a blast furnace together with coke and reduced, and then refined to produce steel. To promote a smooth reduction reaction in the blast furnace and avoid problems, the coke produced must have a certain level of strength and quality, and a large number of different raw coals must be blended. FIG. 1 shows the logistics flow of raw coal.

[0017] Coal is received from berth 101 into coal storage yard 102 and stored in piles by brand. Coal storage yard 102 is an example of an inventory storage area. The received coking coal is discharged to the next process, bedding yard 103 and blending tank 104, where it is blended to achieve a specified quality. Bedding yard 103 and blending tank 104 are examples of processing facilities. In bedding yard 103, brands are blended by stacking them in piles called pairs of beds. While one bed is being loaded, the other is being discharged to the coke oven 105. By completing the loading of the bed before the other bed is discharged and switching it over, continuous discharge to the coke oven 105 is achieved. The blending tank 104 has multiple tanks, each capable of storing approximately 400 tons of coking coal. Various brands can be replenished into the multiple tanks and blended on the discharge belt conveyor as they are discharged (see the cross-sectional image in Figure 1). In the coking coal logistics operation, the highest priority is to not stop production in the downstream coke oven 105, so a receiving operation from the berth 101 to the coal storage yard 102 is carried out as needed between discharge operations from the coal storage yard 102 to the next process. The logistics simulator device according to this embodiment targets the logistics of coking coal from being received from the berth 101 to the coal storage yard 102, discharged to the bedding yard 103 and the blending tank 104, and then discharged to the coke oven 105. Here, in this embodiment, a coking coal logistics line in which the bedding yard 103 and the blending tank 104 are mixed is targeted, but the logistics line may also include only the bedding yard 103 or the blending tank 104.

[0018] 2 is a diagram showing the schematic configuration of a logistics simulator device, including its relationship with a host system. The logistics simulator device includes an initial setting unit 201, a simulation execution unit 202, and a simulation termination unit 203. The host system includes a data output unit 204 for each process, a process computer 205, and a business computer 206. The initial setting unit 201 of the logistics simulator device prepares data, initial parameters, etc. required for the simulation. The simulation execution unit 202 executes the simulation. The simulation termination unit 203 transmits the simulation results to the process computer 205. The data required for the simulation is acquired from the business computer 206 and the data output unit 204 for each process, and sent to the initial setting unit 201 via the process computer 205.

[0019] FIG. 3 is a diagram illustrating the configuration of a logistics simulator device according to an embodiment of the present disclosure. Arrows in FIG. 3 indicate the flow of processing. The initial setting unit 201 of the logistics simulator device includes an input information acquisition module 301, a receipt plan generation module 302, and a route module 303. The simulation execution unit 202 of the logistics simulator device includes a processing material inventory module 304, a processing equipment module 305, a processing equipment warehouse module 306, and a controller module 307. Here, a module is a component that has the function of a device or facility to be simulated by the logistics simulator device and is configured to be easily added or replaced. In this embodiment, a module is a program module in which input variables, output variables, and processing of the function of the device or facility to be simulated are defined.

[0020] The input information acquisition module 301 acquires the equipment layout, delivery plan, inventory information, inventory storage plan, operation plan, equipment capacity, start date and time, end date and time, and unit time required for the simulation. The unit time is the step time in the simulation. The simulation execution unit 202 starts the simulation at the start date and time of the simulation. The input information acquisition module 301 may also acquire an equipment shutdown plan.

[0021] The receipt plan generation module 302 generates one or more berths according to the facility layout and receiving plan acquired by the input information acquisition module 301. The receipt plan generation module 302 also generates a receiving plan for yard 1 according to the receiving plan and inventory storage area plan acquired by the input information acquisition module 301. The receipt plan generation module 302 sends the generated receipt plan to the controller module 307.

[0022] The route module 303 defines the connection relationships of facility elements (for example, berths, belt conveyors, moving machines, heavy equipment dumps, yards, etc.) in the simulation according to the facility layout acquired by the input information acquisition module 301 .

[0023] The processing material inventory yard module 304 generates a plurality of coal storage yards 102, which are facility elements in the simulation, in accordance with the facility layout acquired by the input information acquisition module 301. The processing material inventory yard module 304 also manages the inventory in the plurality of coal storage yards 102 in the simulation by increasing or decreasing it in accordance with the receiving plan and the discharging plan sent from the controller module 307.

[0024] The processing equipment module 305 creates one or more coke ovens 105, which are equipment elements in the simulation, in accordance with the equipment layout acquired by the input information acquisition module 301. The processing equipment module 305 processes raw coal and generates coke in the simulation in accordance with the operation plan (particularly the production volume per hour) acquired by the input information acquisition module 301. In other words, the processing equipment module 305 determines the amount of inventory required in the processing equipment warehouse module 306 in accordance with the operation plan.

[0025] The processing facility warehouse module 306 generates one or more bedding yards 103 or blending tanks 104, which are facility elements in the simulation, according to the facility layout acquired by the input information acquisition module 301. As described above, in this embodiment, the logistics line includes a mixture of one or more bedding yards 103 and one or more blending tanks 104, but the logistics line may also include only one or more bedding yards 103 or one or more blending tanks 104. The processing facility warehouse module 306 sets maximum inventory and initial inventory for each of all bedding yards 103 and blending tanks 104 according to the inventory information acquired by the input information acquisition module 301. The processing facility warehouse module 306 increases or decreases inventory in the bedding yards 103 and blending tanks 104 in the simulation according to the operation plan acquired by the input information acquisition module 301. The in-processing facility warehouse module 306 creates a withdrawal plan for an appropriate amount to the bedding yard 103 and the blending tank 104 when the inventory in the bedding yard 103 and the blending tank 104 falls below a predetermined threshold. The in-processing facility warehouse module 306 sends the created withdrawal plan to the controller module 307. When the withdrawal plan is being executed, the in-processing facility warehouse module 306 increases the inventory in the bedding yard 103 and the blending tank 104 in the simulation.

[0026] The controller module 307 acquires the receiving plan generated by the receiving plan generation module 302 and the unloading plan generated by the processing facility in-warehouse module 306. The controller module 307 also manages the acquired receiving plan and unloading plan and executes a simulation according to the start date and time, end date and time, and unit time. To manage the receiving plan and unloading plan, the controller module 307 uses the route module 303 to search for a route (route) that can transport materials and updates the receiving plan and unloading plan. The controller module 307 also executes the jobs of the receiving plan and unloading plan according to the execution order (e.g., order of available start date and time) using the facility capacity information acquired by the input information acquisition module 301 (see FIGS. 4 and 5 ).

[0027] The simulation termination unit 203 checks whether predetermined termination conditions for the simulation are met, and if the termination conditions are met, terminates the simulation using the updated receiving plan and shipping plan and outputs the simulation results. The simulation results include, for example, inventory in the multiple coal storage yards 102. If the termination conditions are not met, the simulation termination unit 203 advances the unit time by 1 and returns to the processing of the simulation execution unit 202 to continue the simulation.

[0028] The receiving plan generated by the receiving plan generation module 302 is maintained in a list as shown in FIG. 4. As described above, the receiving plan is generated according to the arrival plan and inventory location plan acquired by the input information acquisition module 301. As shown in FIG. 4 and subsequent figures, the source and destination are distinguished using numerical identifiers. Brands are distinguished by symbolic identifiers. The quantity (transport amount) may be expressed in units of, for example, tons (t), but in FIG. 4 and subsequent figures, a certain reference amount is represented by a numerical value of "1." In the receiving plan, the possible start date and time of each plan (one row in the list) is set to match the arrival date and time of the ship carrying that brand. The individual plans can be executed in any order after the possible start date and time. The individual plans are deleted from the list after execution is complete.

[0029] The withdrawal plans generated by the in-processing facility warehouse module 306 are maintained in a list, as in the case of receiving plans, as shown in Fig. 5. After each plan is executed, it is deleted from the list.

[0030] As described above, the controller module 307 uses the route module 303 to search for possible transport routes and update the receiving plan and the discharging plan. In this embodiment, the route module 303 generates a route by combining small routes as shown in FIG. 6 . Here, a "route" is a physical distribution route that received goods follow to their destination, and in this embodiment, it is the physical distribution route of raw coal from the berth 101 to the bedding yard 103 and the discharging to the blending tank 104. A small route is a path separated by equipment elements (e.g., berths, belt conveyors, mobile machines, heavy equipment dump trucks, yards, etc.) present along the route, and a route is configured by combining multiple small routes.

[0031] In the example of Figure 6, "Berth 1" and "Berth 2" are two different berths 101. "BC1", "BC2", "BC3", and "BC4" are four different belt conveyors. "Yard 1" is one bedding yard 103. For example, the first line of Figure 6 defines the route from "Berth 1" to "BC1" as the first sub-route. For example, the second line of Figure 6 defines the route from "Berth 2" to "BC2" as the second sub-route. For example, the third line of Figure 6 defines the route from "BC1" to "BC3" as the third sub-route. Furthermore, for example, the sixth line of Figure 6 defines the route from "BC3" to "Yard 1" as the sixth sub-route.

[0032] The route module 303 extracts facility elements according to the facility layout acquired by the input information acquisition module 301, creates a table defining short routes as shown in FIG. 6 , and stores the table in an accessible storage unit (e.g., a memory). When searching for possible transport routes, the route module 303 reads the table defining the short routes and determines possible transport routes as combinations of short routes. For example, the route module 303 defines a "route from Berth 1 to Yard 1" as a combination of the first short route (from Berth 1 to BC1), the third short route (from BC1 to BC3), and the sixth short route (from BC3 to Yard 1). Alternatively, the route module 303 may define the same route as a combination of the first short route, two other short routes (from BC1 to BC2 and from BC2 to BC3), and the sixth short route (from BC3 to Yard 1).

[0033] Furthermore, the route module 303 may update the table defining the short routes in accordance with the facility layout when the number of facility elements increases or decreases. For example, when a new belt conveyor "BC5" is added, the route module 303 may update the table by adding a new short route (e.g., from "berth 1" to "BC5") to the table. Furthermore, when "BC4" is removed due to a malfunction or other reason, the route module 303 may update the table by deleting from it any short routes that have "BC4" as the source or destination. Furthermore, the route module 303 may search for possible transport routes, excluding short routes that include facility elements scheduled to be shut down for maintenance or the like, in accordance with the facility shutdown plan acquired by the input information acquisition module 301. For example, when "BC2" is shut down, the route module 303 may output "a route from berth 1 to yard 1" as a possible transport route using a combination of the first short route, the third short route, and the sixth short route (a combination that does not include "BC2"). The route module 303 also searches for possible transport routes, excluding short routes that include conflicting facility elements. For example, if "BC2" is used in another plan, the route module 303 does not select a combination that includes "BC2." The route module 303 may output, for example, a "route from Berth 1 to Yard 1" as a possible transport route using a combination of the first short route, the third short route, and the sixth short route (a combination that does not include "BC2"). The number of possible transport routes is not limited to one, and multiple possible transport routes may be listed. When the controller module 307 performs a simulation, the listed multiple possible transport routes may be selected based on a preset rule, and the simulation may be performed using the selected possible transport route. Here, the preset rule may be, for example, that the number of facility elements on the possible transport route is equal to or less than a predetermined number. Furthermore, when performing a simulation, the user may select (specify) the target route using, for example, an input device. Furthermore, a simulation may be performed for each of the listed multiple possible transport routes, and the respective simulation results may be output.

[0034] As a comparative example, there is a conventional method for selecting a route (the physical distribution route that received goods take to their destination) by listing candidate routes and eliminating conflicts. In such a conventional method, a conflict table showing line conflicts must be established in advance, as shown in FIG. 7 . In FIG. 7 , a line combination marked with "1" indicates that a conflict will occur. Here, a line is a receiving line defined by a combination of a receiving source, a receiving destination, and the equipment used, or a delivery line defined by a combination of a delivery source, a delivery destination, and the equipment used. In FIG. 7 , lines are distinguished by numerical identifiers. For example, adding a new conveyor belt or the like requires redefining the conflict relationships in such a conventional method. In other words, a conflict table like the one in FIG. 7 must be recreated, making it difficult to flexibly respond to changes in conditions.

[0035] In contrast, the logistics simulator device according to this embodiment allows for flexible searches by searching for possible transport routes that are combinations of small routes, which are routes separated by facility elements, in the route module 303. This makes it possible to quickly provide usable transport routes in response to changes in conditions such as the addition, deletion, or conflict of facility elements.

[0036] Referring back to FIG. 3 , the simulation termination unit 203 terminates the simulation when a preset termination condition is met. The termination condition may include, for example, when the end date and time of the simulation acquired by the input information acquisition module 301 is reached or when inventory is insufficient in the bedding yard 103 or the blending tank 104. When the simulation is terminated, the simulation results are output. The simulation results may include a flag indicating normal or abnormal termination, receiving job results, and dispensing job results. A normal termination refers to the end of the simulation with materials transported without any inventory shortages. An abnormal termination refers to the end of the simulation with an abnormality, such as an inventory shortage or a dispensing job that was not completed by the end date. Job results refer to jobs that were completed by the deadline. Trend information, such as that shown in FIG. 8 , may also be output as the simulation results. The trend information may include, for example, changes in inventory in the bedding yard 103 and changes in inventory in the blending tank 104. In addition to inventory, the operation history of the mobile unit SR may also be displayed.

[0037] Until the simulation is completed, inventory trend information such as that shown in FIG. 8 may be output. Even if the simulation terminates abnormally, for example, the upper system can confirm the alert content while viewing inventory trend information and modify input data such as the operation plan and inventory storage plan. Here, the operation plan includes a production plan (production volume) for the processing equipment. The production plan may be, for example, a coke production plan for the coke oven 105. As described below, the target raw material may also be iron ore. In this case, the operation plan may include a sintered ore production plan, a pig iron production plan, or a blending plan for each raw material. Furthermore, the sintered ore production plan, the pig iron production plan, and the blending plan for each raw material determine the amount of iron source material supplied, the amount of reducing material used, and the breakdown of the iron source material and reducing material, etc., to realize the planned production of steel products at the steelworks. The steel product production plan and receiving plan may be taken into account for the production of steel products at the steelworks. A second simulation using the modified input data is expected to produce good results. Furthermore, the logistics simulator device can also transmit an operation plan, when a favorable result is obtained (when the simulation has ended normally), together with related simulation data to a host system via the process computer 205.

[0038] For example, an operation planning method may be executed, including acquiring simulation results from a logistics simulator device. The operation planning method may include, when it is determined from the simulation results that the simulation has abnormally ended, causing the logistics simulator device to acquire an operation plan modified based on the simulation results and execute the simulation again. For example, the operation planning method may be executed by a host system. For example, the process computer 205 may function as an operation planning device that executes the operation planning method and cause the logistics simulator device to execute the simulation again. Furthermore, the operation planning method may execute a steelworks operation method, including acquiring an optimized operation plan, which is an operation plan when it is determined from the simulation results that the simulation has normally ended, and transporting raw materials based on the optimized operation plan. Specifically, the steelworks operation method includes controlling the transport of raw materials by instructing, via the process computer 205, control devices that control the operation of each transport device that transports the raw materials, such as the transport amount. Here, the transported raw materials are raw materials that will be blended in the next process and charged into a blast furnace, and include, but are not limited to, the raw material coal of this embodiment. For example, there are various brands of iron ore, and each brand of iron ore is stored and managed in a mountain-like manner, and then appropriately blended and used. Therefore, the concept of this embodiment can be applied to any one of the raw materials to be blended, such as raw material coal or iron ore. Specifically, for example, the logistics simulator device according to the above embodiment can similarly execute the operation plan creation method even if the object of logistics is iron ore, and the created operation plan can be used to execute the steelworks operation method. Furthermore, the blended raw materials also include auxiliary raw materials, and the concept of this embodiment can also be applied to such auxiliary raw materials.

[0039] As described above, the logistics simulator device and operation plan creation method according to this embodiment flexibly search for possible transportation routes by combining small routes, which are routes separated by facility elements, and can quickly provide usable transportation routes in response to changing conditions. Furthermore, by following the operation plan resulting from the successful completion of such a simulation, an efficient steelworks operation method is possible. Furthermore, by properly managing the inventory of each raw material brand, it is possible to constantly supply raw materials of consistent quality, contributing to the production of high-quality steel materials.

[0040] Although the embodiments of the present disclosure have been described based on the drawings and examples, it should be noted that those skilled in the art would easily be able to make various modifications or alterations based on the present disclosure. Therefore, it should be noted that these modifications and alterations are included within the scope of the present disclosure. For example, functions included in each component or step can be rearranged so as not to cause logical inconsistencies, and multiple components or steps can be combined or divided into one. The embodiments of the present disclosure can also be realized as a storage medium (e.g., a non-transitory computer-readable recording medium) on which a program executed by a processor included in the device is recorded. It should be understood that these are also included within the scope of the present disclosure.

[0041] In particular, when the logistics simulator device is configured as a computer and the computer processor functions as each module through a program, the effect of eliminating the need for software modification (coding) when the facility layout changes is achieved. While the above embodiment describes a mixed processing facility consisting of a bedding yard 103 and a blending tank 104, these do not need to be distinguished as modules. In other words, by treating the configuration of the bedding yard 103 as a virtual system in which multiple tanks are replenished with various brands, it is possible to treat it in the same way as the blending tank 104. In other words, the bedding yard 103 and the blending tank 104 can be treated as common facility elements in the simulation. This allows the processing facility warehouse module 306 to more efficiently manage inventory increases and decreases and create withdrawal plans.

[0042] 101 Berth 102 Coal storage yard 103 Bedding yard 104 Blending tank 105 Coke oven 201 Initial setting unit 202 Simulation execution unit 203 Simulation termination unit 204 Data output unit for each process 205 Process computer 206 Business computer 301 Input information acquisition module 302 Receiving plan generation module 303 Route module 304 Processing material inventory module 305 Processing equipment module 306 Warehouse module within processing equipment 307 Controller module

Claims

1. A logistics simulator device that simulates logistics for transporting materials to a next process, an input information acquisition module that acquires equipment layout, arrival plan, inventory information, inventory storage plan, operation plan, equipment capacity, start date and time, end date and time, and unit time of simulation; a receiving plan generation module that generates one or more berths according to the facility layout, the receiving plan, and the stockroom plan, and generates a receiving plan for the stockroom; a route module that defines connection relationships between facility elements in a simulation in accordance with the facility layout; a processing material stockpile module that generates the stockpile, which is the facility element, according to the facility layout and manages the stockpile by increasing or decreasing the stock in the stockpile; a processing facility warehouse module that generates one or more processing facilities, which are the facility elements, according to the facility layout, sets maximum inventory and initial inventory for the processing facilities according to inventory information, increases or decreases the inventory of the processing facilities, and creates a withdrawal plan; a processing facility module that determines the amount of inventory required in the processing facility warehouse module according to the operation plan; a controller module that acquires the receipt plan and the delivery plan, manages the receipt plan and the delivery plan, and executes a simulation in accordance with the facility capacity, the start date and time, the end date and time of the simulation, and the unit time; The controller module searches for a route that can transport the material using the route module; The route module is a logistics simulator device that searches for a transportable route by combining small routes that are paths separated by the facility elements.

2. The input information acquisition module acquires an equipment shutdown plan; The logistics simulator device according to claim 1 , wherein the route module searches for the possible transport route in accordance with the facility shutdown plan.

3. 3. The logistics simulator device according to claim 1, wherein a plurality of the transportable routes are listed.

4. acquiring a simulation result from the logistics simulator device according to claim 1 or 2; when it is determined from the simulation results that the simulation has abnormally ended, causing the logistics simulator device to acquire the operation plan modified based on the simulation results and execute the simulation again.

5. A program that causes a computer to function as a logistics simulator device that simulates logistics for transporting materials to a next process, the program comprising: an input information acquisition module that acquires equipment layout, arrival plan, inventory information, inventory storage plan, operation plan, equipment capacity, start date and time, end date and time, and unit time of simulation; a receiving plan generation module that generates one or more berths according to the facility layout, the receiving plan, and the stockroom plan, and generates a receiving plan for the stockroom; a route module that defines connection relationships between facility elements in a simulation in accordance with the facility layout; a processing material stockpile module that generates the stockpile, which is the facility element, according to the facility layout and manages the stockpile by increasing or decreasing the stock in the stockpile; a processing facility warehouse module that generates one or more processing facilities, which are the facility elements, according to the facility layout, sets maximum inventory and initial inventory for the processing facilities according to inventory information, increases or decreases the inventory of the processing facilities, and creates a withdrawal plan; a processing facility module that determines the amount of inventory required in the processing facility warehouse module according to the operation plan; a controller module that acquires the receiving plan and the withdrawing plan, manages the receiving plan and the withdrawing plan, and executes a simulation in accordance with the facility capacity, the start date and time, the end date and time of the simulation, and the unit time; The controller module searches for a route that can transport the material using the route module; The route module is a program that searches for a transportable route by combining small routes that are paths separated by the facility elements.

6. The next step is a step of blending raw materials to be charged into a blast furnace, 5. The operation plan creation method according to claim 4, further comprising: acquiring an optimized operation plan, which is the operation plan when it is determined from the simulation result that the simulation has ended normally; and transporting the raw materials based on the optimized operation plan.