Logistics simulation device, work plan creation method, program, and work method for steel mill

By rapidly generating and adjusting transport routes using a logistics simulation device, the problem of route adjustment due to changes in conditions in existing technologies has been solved, improving the operational efficiency and inventory management of steel plants, and ensuring raw material quality and production continuity.

CN122641849APending Publication Date: 2026-08-25JFE STEEL CORP
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Patent Information

Application Number
CN202580010958.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2024-02-01
Filing Date
2025-01-14
Publication Date
2026-08-25

AI Technical Summary

Technical Problem

Existing logistics simulation methods are unable to flexibly respond to changes in conditions, making it difficult to quickly adjust to the redefinition of handling routes and route competition, thus affecting operational efficiency.

Method used

The material handling is simulated by a logistics simulation device. By using the input information acquisition module, route module and control module, available handling paths can be quickly generated and adjusted. Combined with small route combination search, it can flexibly respond to changes in equipment layout and conditions.

Benefits of technology

It enables the rapid provision of available transport routes under changing conditions, improving the operational efficiency and inventory management flexibility of steel plants, and ensuring raw material quality and production continuity.

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Abstract

The logistics simulation device has an input information acquisition module (301), a receiving plan generation module (302), a route module (303), a processed material stock placement site module (304), a processed material internal warehouse module (306), a processing equipment module (305), and a control module (307). The control module (307) searches for a route for carrying a material using the route module (303), and the route module (303) searches for a route for carrying a material by combining routes, i.e., small routes, divided according to equipment elements.
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Description

Technical Field

[0001] This disclosure relates to logistics simulation devices, work plan creation methods and procedures, and work methods for steel plants. Background Technology

[0002] In the handling of processed materials, a technology is being developed that uses work plans, equipment capacity, and other factors as inputs to reflect the results of simulations back into the work, thereby improving efficiency.

[0003] For example, Patent Document 1 discloses a simulation program generation device, which reduces the burden on designers when creating simulation programs that simulate the actions of various machines in a manufacturing plant, the movement of workpieces, and process phenomena. Furthermore, Patent Document 2 describes a logistics simulation device that reproduces and visualizes the logistics of sending raw materials to the next process, displays inventory trends, and determines the feasibility of operations, thereby enabling improvements in planning and operations.

[0004] Patent Document 1: Japanese Patent No. 6468000

[0005] Patent Document 2: Japanese Patent Application Publication No. 2023-118069

[0006] In existing logistics simulation methods, routes are selected by proposing candidate routes to the destination and eliminating competing options. Routes are determined based on a combination of the transportation source, destination, and the machines used; for example, they need to be redefined when a new machine is added or excluded. Furthermore, the competition for routes also needs to be redefined, making it difficult to flexibly respond to changes in conditions. Summary of the Invention

[0007] This disclosure was made to solve the above problems, and its purpose is to provide a logistics simulation device, a method and procedure for creating work plans, and a steel plant operation method that can quickly provide available handling paths in response to changes in conditions.

[0008] (1) One embodiment of the present disclosure relates to a logistics simulation apparatus that simulates the logistics of moving materials to the next process, wherein the apparatus comprises:

[0009] The input information acquisition module obtains equipment layout, delivery plan, inventory information, inventory placement plan, work plan, equipment capacity, simulation start and end dates and times, and unit time.

[0010] The receiving plan generation module generates one or more berths and the receiving plan for the inventory storage yard based on the above equipment layout, the above delivery plan and the above inventory storage yard plan.

[0011] The route module defines the connection relationships between equipment elements in the simulation based on the above equipment layout;

[0012] The processing material storage area module generates the aforementioned storage area as an element of the aforementioned equipment based on the aforementioned equipment layout, and manages it by increasing or decreasing the inventory in the aforementioned storage area;

[0013] The internal warehouse module for processing equipment generates one or more processing equipment elements based on the above equipment layout, sets the maximum and initial inventory of the processing equipment based on inventory information, increases or decreases the inventory of the processing equipment, and creates an expenditure plan.

[0014] The processing equipment module, based on the aforementioned work plan, determines the required inventory level for the internal warehouse module of the processing equipment; and

[0015] The control module acquires and manages the aforementioned receiving and expenditure plans, and executes the simulation based on the aforementioned equipment capabilities, the start and end dates of the simulation, and the aforementioned unit time.

[0016] The control module uses the route module to search for routes that can transport the materials.

[0017] The aforementioned route module searches for transportable routes by combining paths, or smaller routes, defined by the aforementioned equipment elements.

[0018] (2) As one embodiment of this disclosure, in (1),

[0019] The above-mentioned input information acquisition module obtains the device shutdown plan.

[0020] The route module searches for the transportable routes based on the equipment shutdown plan.

[0021] (3) As one embodiment of this disclosure, in (1) or (2),

[0022] List several of the above-mentioned transportable routes.

[0023] (4) One embodiment of the present disclosure includes a method for creating a work plan, comprising:

[0024] Obtain simulation results from any of the logistics simulation devices in (1) to (3); and

[0025] If the simulation is determined to have ended abnormally based on the above simulation results, the logistics simulation device obtains the revised work plan based on the above simulation results and executes the simulation again.

[0026] (5) One embodiment of this disclosure involves a program that enables a computer to function as a logistics simulation device for simulating the movement of materials to the next process, wherein,

[0027] To enable the above computer to function as the following module, namely:

[0028] The input information acquisition module obtains equipment layout, delivery plan, inventory information, inventory placement plan, work plan, equipment capacity, simulation start and end dates and times, and unit time.

[0029] The receiving plan generation module generates one or more berths and the receiving plan for the inventory storage yard based on the above equipment layout, the above delivery plan and the above inventory storage yard plan.

[0030] The route module defines the connection relationships between equipment elements in the simulation based on the above equipment layout;

[0031] The processing material storage area module generates the aforementioned storage area as an element of the aforementioned equipment based on the aforementioned equipment layout, and manages it by increasing or decreasing the inventory in the aforementioned storage area;

[0032] The internal warehouse module for processing equipment generates one or more processing equipment elements based on the above equipment layout, sets the maximum and initial inventory of the processing equipment, increases or decreases the inventory of the processing equipment, and creates an expenditure plan.

[0033] The processing equipment module, based on the aforementioned work plan, determines the required inventory level for the internal warehouse module of the processing equipment; and

[0034] The control module acquires and manages the aforementioned receiving and expenditure plans, and executes the simulation based on the aforementioned equipment capabilities, the start and end dates of the simulation, and the aforementioned unit time.

[0035] The control module uses the route module to search for routes that can transport the materials.

[0036] The aforementioned route module searches for transportable routes by combining paths, or smaller routes, defined by the aforementioned equipment elements.

[0037] (6) One embodiment of the steel plant operation method disclosed herein is configured as follows:

[0038] The next step mentioned above is the process of blending the raw materials charged into the blast furnace.

[0039] The above-mentioned work methods include:

[0040] In the job plan creation method of (4), the above job plan, i.e., the optimal job plan, is obtained under the condition that the simulation has ended normally according to the above simulation results; and

[0041] The above-mentioned raw materials are transported based on the optimized work plan described above.

[0042] According to this disclosure, a logistics simulation device, a work plan creation method, a procedure, and an efficient steel plant operation method are provided that can quickly provide available handling paths in response to changes in conditions. Attached Figure Description

[0043] Figure 1 It is a simplified diagram showing the logistics flow of raw coal that is loaded into the blast furnace along with iron ore.

[0044] Figure 2 This is a diagram showing a simplified structure of a logistics simulation device, including its relationship with the higher-level system.

[0045] Figure 3 This is a diagram illustrating the configuration of a logistics simulation device according to one embodiment of this disclosure.

[0046] Figure 4 This is a diagram illustrating the receiving plan.

[0047] Figure 5 This is a diagram illustrating an expenditure plan.

[0048] Figure 6 This is a diagram illustrating a table that defines a route.

[0049] Figure 7 This is a diagram illustrating the competition table for a given route.

[0050] Figure 8 This is a graph showing examples of inventory levels, etc. Detailed Implementation

[0051] Hereinafter, with reference to the accompanying drawings, a logistics simulation device, a work plan creation method, a program, and a steel plant operation method according to one embodiment of the present disclosure will be described.

[0052] The logistics simulation device involved in this embodiment simulates the logistics of moving materials to the next process. The logistics that becomes the object of the logistics simulation device is not limited; in this embodiment, it refers to the coal storage yard 102 (see reference 102) which is part of the operations of a steel plant. Figure 1The following example illustrates the logistics of raw coal. In the steel industry, iron ore (as iron oxide) is charged into a blast furnace along with coke for reduction, followed by refining to produce steel. To facilitate a smooth reduction reaction within the blast furnace and prevent malfunctions, the produced coke needs a certain level of strength and quality; therefore, it is necessary to blend various types of raw coal. Figure 1 This indicates the logistics process of raw coal.

[0053] Raw coal is received from berth 101 and stored in coal storage yard 102, arranged in mounds according to type. Coal storage yard 102 is an example of a storage yard. The received raw coal is then sent to blending yard 103 and blending tank 104, which are used as the next processing steps, to be blended to the specified quality. Blending yard 103 and blending tank 104 are an example of processing equipment. In blending yard 103, blending is performed by recombinating the types of coal into mounds called beds, which are groups of two. While one bed is accumulating, another bed is being cut towards coke oven 105. The bed accumulation is completed and switched before the cutting is finished, thus achieving continuous cutting towards coke oven 105. Blending tank 104 has multiple tanks, each capable of storing approximately 400 tons of raw coal. Various types of coal can be replenished to multiple tanks, and blending occurs simultaneously on a belt conveyor on the output side while the coal is being cut (see reference). Figure 1 (A cross-sectional schematic diagram). In the raw coal logistics operation, the highest priority is to maintain the production of the coke oven 105 in the downstream process. Therefore, during the interval between the discharge operation from the coal storage yard 102 to the next process, the receiving operation from the berth 101 to the coal storage yard 102 is carried out at any time. The logistics simulation device involved in this embodiment is for the logistics from the receiving of raw coal from the berth 101 to the coal storage yard 102 and the discharge to the blending yard 103 and the blending tank 104, and then cut out to the coke oven 105. Here, in this embodiment, the raw coal logistics line with both the blending yard 103 and the blending tank 104 is the object, but it may also be a logistics line that only includes the blending yard 103 or the blending tank 104.

[0054] Figure 2 This diagram illustrates a simplified configuration of a logistics simulation device, including its relationship with a higher-level system. The logistics simulation device includes an initial setting unit 201, a simulation execution unit 202, and a simulation termination unit 203. The higher-level system includes data output units 204 for each process, a process computer 205, and a business computer 206. The initial setting unit 201 prepares the data and initial parameters required for the simulation. The simulation execution unit 202 performs the simulation. The simulation termination unit 203 sends the simulation results to the process computer 205. The data required for the simulation is acquired by the business computer 206 and the data output units 204 for each process, and then sent to the initial setting unit 201 via the process computer 205.

[0055] Figure 3This is a diagram illustrating the configuration of a logistics simulation apparatus according to one embodiment of this disclosure. Additionally, Figure 3 The arrows in the diagram indicate the processing flow. The initial setting unit 201 of the logistics simulation device includes an input information acquisition module 301, a receiving plan generation module 302, and a route module 303. The simulation execution unit 202 of the logistics simulation device includes a processing material storage area module 304, a processing equipment module 305, a processing equipment internal warehouse module 306, and a control module 307. Here, a module is a machine or equipment that can be easily added to or replaced and has the function of being simulated by the logistics simulation device. In this embodiment, the module is a program module, and the input variables, output variables, and processing of the functions of the machine or equipment being simulated are determined.

[0056] The input information acquisition module 301 acquires the equipment layout, delivery schedule, inventory information, inventory placement plan, work plan, equipment capacity, simulation start and end dates, and unit time required for the simulation. Unit time is the step time in the simulation. The simulation execution unit 202 starts the simulation at the simulation start date. Additionally, the input information acquisition module 301 can acquire the equipment stop schedule.

[0057] The receiving plan generation module 302 generates one or more berths based on the equipment layout and delivery plan obtained from the input information acquisition module 301. Additionally, the receiving plan generation module 302 generates a receiving plan for yard 1 based on the delivery plan and inventory placement plan obtained from the input information acquisition module 301. The receiving plan generation module 302 then sends the generated receiving plan to the control module 307.

[0058] The route module 303 defines the connection relationships of equipment elements (such as berths, belt conveyors, mobile machinery, heavy machinery dump trucks, material yards, etc.) in the simulation based on the equipment layout obtained by the input information acquisition module 301.

[0059] The processing material storage area module 304 generates multiple coal storage yards 102 as equipment elements in the simulation based on the equipment layout obtained by the input information acquisition module 301. Furthermore, the processing material storage area module 304 manages the inventory of the multiple coal storage yards 102 by increasing or decreasing the inventory in the simulation based on the receiving plan and expenditure plan sent from the control module 307.

[0060] The processing equipment module 305 generates one or more coke ovens 105 as equipment elements in the simulation based on the equipment layout obtained by the input information acquisition module 301. The processing equipment module 305 processes raw coal and generates coke in the simulation based on the work plan (specifically, the production volume per unit time) obtained by the input information acquisition module 301. That is, the processing equipment module 305 determines the required inventory level for the internal warehouse module 306 of the processing equipment based on the work plan.

[0061] The internal warehouse module 306 of the processing equipment generates one or more mixing fields 103 or blending tanks 104 as equipment elements in the simulation based on the equipment layout obtained by the input information acquisition module 301. As described above, in this embodiment, the logistics line contains one or more mixing fields 103 and one or more blending tanks 104, but it can also be a logistics line containing only one or more mixing fields 103 or one or more blending tanks 104. The internal warehouse module 306 of the processing equipment sets the maximum and initial inventory of each of the mixing fields 103 and blending tanks 104 based on the inventory information obtained by the input information acquisition module 301. The internal warehouse module 306 of the processing equipment increases or decreases the inventory of the mixing fields 103 and blending tanks 104 in the simulation based on the work plan obtained by the input information acquisition module 301. If the inventory of the mixing yard 103 and the blending tank 104 falls below a predetermined threshold, the internal warehouse module 306 of the processing equipment creates an expenditure plan for an appropriate amount of material to be allocated to the mixing yard 103 and the blending tank 104. The internal warehouse module 306 of the processing equipment sends the generated expenditure plan to the control module 307. While the expenditure plan is being executed, the internal warehouse module 306 of the processing equipment increases the inventory of the mixing yard 103 and the blending tank 104 in the simulation.

[0062] Control module 307 acquires the receiving plan generated by receiving plan generation module 302 and the expenditure plan generated by processing equipment internal warehouse module 306. Furthermore, control module 307 manages the acquired receiving and expenditure plans and performs simulations based on start and end dates and unit time. As part of the management of the receiving and expenditure plans, control module 307 uses route module 303 to search for paths (routes) for transportable materials and updates the receiving and expenditure plans. Additionally, control module 307 uses equipment capability information acquired by input information acquisition module 301 to execute the receiving and expenditure plans according to the implementation sequence (e.g., the sequence of possible start dates and times) (see reference). Figure 4 and Figure 5 ).

[0063] The simulation termination unit 203 checks whether the predetermined simulation termination conditions are met. If the termination conditions are met, the simulation in the updated receiving plan and expenditure plan ends, and the simulation results are output. The simulation results include, for example, the inventory of multiple coal storage yards 102. If the termination conditions are not met, the simulation termination unit 203 advances the time by 1 unit and returns to the processing of the simulation execution unit 202 to continue the simulation.

[0064] Here, as Figure 4 As shown, the receiving plans generated by the receiving plan generation module 302 are stored in a list. As described above, the receiving plans are generated based on the arrival plans and inventory placement plans obtained by the input information acquisition module 301. Figure 4 As shown in the following figures, the source and destination of the transport are distinguished using numerical identifiers. Additionally, varieties are distinguished using symbolic identifiers. Furthermore, the quantity (transport volume) can also be expressed in units such as tons (t), but... Figure 4 In subsequent diagrams, a baseline value of "1" is used to represent this. In the receiving plan, each plan (a row in the list) has a set start date based on the arrival date of vessels carrying that type of cargo. Plans can be implemented in any order as long as they are after the start date. Furthermore, each plan is removed from the list after execution.

[0065] Same as the receiving plan, such as Figure 5 As shown, the expenditure plans generated by the internal warehouse module 306 of the processing equipment are stored in a list. Each plan is deleted from the list after execution.

[0066] As described above, the control module 307 uses the route module 303 to search for transportable paths (routes) and update the receiving plan and expenditure plan. In this embodiment, the route module 303 is combined as follows: Figure 6 The route is generated by using small routes as shown. Here, "route" is the path of logistics for goods to reach their destination. In this embodiment, it is the path of logistics for raw coal from berth 101 to the blending yard 103 and the mixing tank 104. Small routes are paths divided according to equipment elements (such as berths, belt conveyors, mobile machinery, heavy machinery dump trucks, material yards, etc.) present along the route. A route is formed by combining multiple small routes.

[0067] exist Figure 6 In the example, "berth 1" and "berth 2" are two different berths 101. "BC1", "BC2", "BC3", and "BC4" are four different belt conveyors. "Garden 1" is a mixing yard 103. For example, Figure 6 The first line defines the path from "berth 1" to "BC1" as the first sub-route. For example, Figure 6 The second line defines the path from "berth 2" to "BC2" as the second sub-route. For example, Figure 6 The third line defines the path from "BC1" to "BC3" as the third sub-route. Additionally, for example, Figure 6 The sixth line defines the path from "BC3" to "material yard 1" as the sixth sub-route.

[0068] The route module 303 extracts equipment elements based on the equipment layout obtained by the input information acquisition module 301, and creates a route such as... Figure 6 A table defining the sub-routes is created and stored in accessible storage (e.g., memory). When searching for a transportable route, route module 303 reads the table defining the sub-routes and determines the transportable route as a combination of sub-routes. For example, route module 303 determines the "route from berth 1 to yard 1" through a combination of the first sub-routes ("berth 1" to "BC1"), the third sub-routes ("BC1" to "BC3"), and the sixth sub-routes ("BC3" to "yard 1"). Alternatively, route module 303 may also determine the same route through a combination of the first sub-routes, two other sub-routes ("BC1" to "BC2", "BC2" to "BC3"), and the sixth sub-routes ("BC3" to "yard 1").

[0069] Furthermore, when equipment elements are added or removed, the route module 303 can update the table defining sub-routes based on the equipment layout. For example, if "BC5" is added as a new belt conveyor, the route module 303 can update the table to add the new sub-routes (for example, from "berth 1" to "BC5"). Additionally, if "BC4" is removed due to a malfunction, the route module 303 can delete the sub-routes from the table that use "BC4" as a transport source or destination. Furthermore, the route module 303 can search for transportable routes based on the equipment stoppage plan obtained from the input information acquisition module 301, excluding sub-routes containing predetermined equipment elements that are stopped due to maintenance, etc. For example, if "BC2" is stopped, the route module 303 can output "the route from berth 1 to yard 1" as a transportable route using a combination of the first, third, and sixth sub-routes (excluding combinations containing "BC2"). Additionally, the route module 303 searches for transportable routes by excluding sub-routes containing competing equipment elements. For example, when "BC2" is used in other different plans, the route module 303 does not select combinations that include "BC2". Furthermore, the route module 303 can, for example, output a "route from berth 1 to yard 1" as a transportable route using combinations of the first sub-route, the third sub-route, and the sixth sub-route (combinations that do not include "BC2"). The transportable route is not limited to one; multiple routes can be listed. When the control module 307 performs a simulation, it can select multiple listed transportable routes based on pre-set rules, and perform the simulation according to the selected transportable routes. Here, the pre-set rules could be, for example, that the number of equipment elements in the transportable route is below a specified number. Additionally, during simulation, the user can select (specify) the route as the target route using, for example, an input device. Furthermore, for all the listed transportable routes, simulations can be performed on each route, and each simulation result can be output.

[0070] Here, as a comparative example, there exists an existing method that enumerates candidate routes (the logistical paths of delivered goods to their destination) and selects a route by eliminating competition. In such an existing method, such as... Figure 7 As shown, a contention table representing the contention for a line needs to be predetermined. Figure 7 In this context, a combination of lines represented by "1" indicates a contention. Here, a line is either a receiving line determined by the combination of a receiving source, a receiving destination, and the machine used, or a spending line determined by the combination of a spending source, a spending destination, and the machine used. Figure 7 In this system, lines are distinguished using numerical identifiers. For example, if a new belt conveyor is added, the existing method requires redefining the competitive relationships. That is, it requires recreating... Figure 7Such a competition table is difficult to flexibly respond to changes in conditions.

[0071] In this regard, for the logistics simulation device involved in this embodiment, the route module 303 searches for transportable routes by combining paths, i.e., small routes, divided according to equipment elements, thereby enabling flexible searching. Therefore, in response to changes in conditions such as the addition, exclusion, or competition of equipment elements, usable transport paths can be quickly provided.

[0072] Refer again Figure 3 If a pre-set termination condition is met, the simulation termination unit 203 terminates the simulation. Termination conditions may include, for example, reaching the simulation end date / time obtained by the input information acquisition module 301, or insufficient inventory in the mixing yard 103 or blending tank 104. When the simulation terminates, simulation results are output. Simulation results may include a flag indicating whether the simulation terminated normally or abnormally, received work performance, expenditure work performance, etc. Here, normal termination means that the simulation was completed without insufficient inventory. On the other hand, abnormal termination means that the simulation was completed with an anomaly, such as insufficient inventory or expenditure work not completed by the end date / time. Furthermore, work performance refers to the work completed by the deadline. Additionally, as simulation results, outputs may include, for example, […]. Figure 8 Such trend information. Trend information may include, for example, changes in the inventory levels of the mixing yard 103 and the blending tank 104. In addition to inventory levels, the operational history of the mobile machinery SR can also be displayed.

[0073] Output can be made before the simulation ends, such as Figure 8Information such as inventory trends, etc. For example, even if the simulation ends abnormally, the upper-level system can still view inventory trend information, confirm the alarm content, and correct input data such as work plans and inventory placement plans. Here, work plans include the production plan (production volume) of processing equipment. For example, the production plan is the coke production plan of coke oven 105. As will be described later, the raw material of the target can also be set as iron ore. In this case, the work plan can include the production plan of sintered ore, the production plan of pig iron, and the blending plan of each raw material. In addition, the production plan of sintered ore, the production plan of pig iron, and the blending plan of each raw material determine the iron source supply, the amount of reducing agent used, and the details of iron source and reducing agent for the planned production of steel products in the steel plant. For the production of steel products in the steel plant, the production plan and delivery plan of steel products can be considered. In the simulation again using the corrected input data, good results are expected. In addition, the logistics simulation device can also send the work plan and related simulation data under the condition of obtaining good results (the case of normal simulation end) to the upper-level system through the process computer 205.

[0074] For example, a work plan creation method can be executed, which includes obtaining simulation results from a logistics simulation device. The work plan creation method may include: when the simulation results indicate that the simulation has ended abnormally, causing the logistics simulation device to obtain a revised work plan based on the simulation results, and then re-executing the simulation. For example, the work plan creation method can be performed in a higher-level system. For example, the process computer 205 can function as a work plan creation device executing the work plan creation method, causing the logistics simulation device to re-execute the simulation. Additionally, a steel plant work method can be executed, which includes: obtaining a work plan, i.e., an optimized work plan, when the simulation results indicate that the simulation has ended normally; and transporting raw materials based on the optimized work plan. Specifically, the steel plant work method includes: controlling the transport of raw materials by instructing the transport volume, etc., via the process computer 205 to control the operation of each transport machine that controls the transport of raw materials. Here, the transported raw materials are those that will be blended and charged into the blast furnace in the next process, including but not limited to raw coal in this embodiment. For example, various types of iron ore exist, each stored and managed in mountainous formations and appropriately blended for use. Therefore, the concept of this embodiment can be applied to any of the blended raw materials, such as raw coal and iron ore. Specifically, for example, in the logistics simulation device described in the above embodiment, even if the object of the logistics is set as iron ore, the work plan creation method can still be executed, and the created work plan can be used to execute the work methods of a steel plant. Furthermore, the blended raw materials also include by-products, and the concept of this embodiment can also be applied to these by-products.

[0075] As described above, the logistics simulation device and work plan creation method involved in this embodiment flexibly search for transportable routes by combining paths, or small routes, divided according to equipment elements. Therefore, in response to changes in conditions, it can quickly provide usable transport routes. Furthermore, by following the work plan under the condition that such a simulation has successfully concluded, an efficient steel plant operation method can be achieved. Additionally, by properly managing the inventory of each type of raw material, a consistent supply of raw materials of constant quality can be ensured, contributing to the production of high-quality steel materials.

[0076] The embodiments described herein are based on the accompanying drawings and examples. However, it should be noted that those skilled in the art can readily make various modifications or alterations based on this disclosure. Therefore, it should be understood that such modifications or alterations are included within the scope of this disclosure. For example, the functions included in each component or step can be reconfigured in a logically consistent manner, and multiple components or steps can be combined into one or divided. The embodiments described herein can also be implemented as a storage medium (e.g., a non-transitory computer-readable recording medium) storing a program executed by a processor of a device. It should be understood that these are also included within the scope of this disclosure.

[0077] In particular, when the logistics simulation device is composed of a computer, and the computer's processor functions as modules through programs, it achieves the effect that no software modification (coding) is required even if the equipment layout changes. Here, in the above embodiment, although the mixing yard 103 and the blending tank 104 are described as coexisting as processing equipment, they do not need to be distinguished as modules. That is, by virtually treating the structure of the mixing yard 103 as replenishing various types of materials to multiple tanks, it can be treated in the same way as the blending tank 104. In other words, the mixing yard 103 and the blending tank 104 can be treated as common equipment elements in the simulation. As a result, the internal warehouse module 306 of the processing equipment can more efficiently perform inventory increase and decrease management and expenditure plan creation.

[0078] Explanation of reference numerals in the attached figures:

[0079] 101…berth; 102…coal storage yard; 103…mixing 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 storage yard module; 305…processing equipment module; 306…processing equipment internal warehouse module; 307…control module.

Claims

1. A logistics simulation device for simulating the logistics of moving materials to the next process, wherein, The logistics simulation device includes: The input information acquisition module obtains equipment layout, delivery plan, inventory information, inventory placement plan, work plan, equipment capacity, simulation start and end dates and times, and unit time. The receiving plan generation module generates one or more berths and generates a receiving plan for the inventory storage area based on the equipment layout, the delivery plan, and the inventory storage area plan. The route module defines the connection relationships of the equipment elements in the simulation based on the equipment layout. The processing material storage area module generates the storage area as an element of the equipment based on the equipment layout, and manages it by increasing or decreasing the inventory in the storage area; The internal warehouse module for processing equipment generates one or more processing equipment elements based on the equipment layout, sets the maximum and initial inventory of the processing equipment based on inventory information, increases or decreases the inventory of the processing equipment, and creates an expenditure plan. The processing equipment module determines the required inventory level for the internal warehouse module of the processing equipment based on the work plan. as well as The control module acquires the receiving plan and the expenditure plan, manages the receiving plan and the expenditure plan, and executes the simulation based on the equipment capacity, the start and end dates of the simulation, and the unit time. The control module uses the route module to search for routes that can transport the material. The route module searches for transportable routes by combining paths, or smaller routes, divided according to the equipment elements.

2. The logistics simulation device according to claim 1, wherein, The input information acquisition module obtains the device shutdown plan. The route module searches for transportable routes based on the equipment stop schedule.

3. The logistics simulation device according to claim 1 or 2, wherein, List several of the described transportable routes.

4. A method for creating a work plan, wherein, include: Obtain simulation results from the logistics simulation device according to any one of claims 1 to 3; and If the simulation results indicate that the simulation has ended abnormally, the logistics simulation device obtains the revised work plan based on the simulation results and executes the simulation again.

5. A program that enables a computer to function as a logistics simulation device for simulating the movement of materials to the next process, wherein, The program enables the computer to function as the following modules: The input information acquisition module obtains equipment layout, delivery plan, inventory information, inventory placement plan, work plan, equipment capacity, simulation start and end dates and times, and unit time. The receiving plan generation module generates one or more berths and generates a receiving plan for the inventory storage area based on the equipment layout, the delivery plan, and the inventory storage area plan. The route module defines the connection relationships of the equipment elements in the simulation based on the equipment layout. The processing material storage area module generates the storage area as an element of the equipment based on the equipment layout, and manages it by increasing or decreasing the inventory in the storage area; The internal warehouse module for processing equipment generates one or more processing equipment elements based on the equipment layout, sets the maximum and initial inventory of the processing equipment based on inventory information, increases or decreases the inventory of the processing equipment, and creates an expenditure plan. The processing equipment module determines the required inventory level for the internal warehouse module of the processing equipment based on the work plan. as well as The control module acquires the receiving plan and the expenditure plan, manages the receiving plan and the expenditure plan, and executes the simulation based on the equipment capacity, the start and end dates of the simulation, and the unit time. The control module uses the route module to search for routes that can transport the material. The route module searches for transportable routes by combining paths, or smaller routes, divided according to the equipment elements.

6. An operating method for a steel plant, wherein, The next step is to blend the raw materials that are being charged into the blast furnace. The operation method includes: In the job plan creation method of claim 4, the optimal job plan is obtained when the simulation is determined to have ended normally based on the simulation results; and The raw materials are transported based on the optimized work plan.

Citation Information

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