JP2016130331A - Molten iron physical distribution planning method and apparatus - Google Patents

Abstract

PROBLEM TO BE SOLVED: To perform scheduling of a molten iron physical distribution with a high pretreatment ratio.SOLUTION: There are included: generating candidates of the combinations of torpedo car pairs for loading molten iron, as a pair of pretreatment objects in a pretreatment facility (step S1); generating a passing process which each torpedo car can adopt, as candidates of routes shown by a permutation of treatments including movement (step S2); and, as for the candidates of the routes, solving a mathematical optimization problem so as to maximize a pretreatment ratio while satisfying a limitation on a competition of the pretreatment facility and a limitation on an integrated quantity of a molten iron quantity required in a fixed period in each steel mill and on an integrated quantity of a molten iron quantity after pretreatment, and selecting a candidate having the highest pretreatment ratio in the candidates of the routes and the candidates of the combinations of pairs so as to create a molten iron physical distribution planning in which a steel mill for each torpedo car of the pair, whether a pretreatment is performed or not for molten iron in each torpedo car, and a pretreatment facility to be used are each determined (step S3).SELECTED DRAWING: Figure 3

Description

  The present invention relates to a hot metal distribution planning method and a hot metal distribution planning apparatus for optimizing hot metal distribution operation in which hot metal pretreatment is performed between a blast furnace and a steelmaking factory in an ironworks.

  In general, hot metal is transported as a hot metal transport container, for example, in a topped car (TP) between a blast furnace at a steel works and a steelmaking factory. While the hot metal is transported from the blast furnace to the steel factory by TP, pretreatment (dephosphorization treatment) is performed by a pretreatment facility installed on the way, and the phosphorus concentration is reduced by half. The TP emptied at the steelmaking factory is transported to the blast furnace. Preliminary processing is performed when there is time to spare. TP passes through a pretreatment facility when component adjustment is performed on the hot metal in the pretreatment, and is sent directly to the steelmaking factory when the pretreatment is not performed.

  During normal operation, the TP operated as a hot car with hot metal is carried by diesel. Each of the plurality of preliminary processing facilities has one or two stations, and each station can perform preliminary processing on two TP hot metal simultaneously. However, during the preliminary process for a single TP hot metal, the preliminary process for the new TP hot metal cannot be started in the preliminary processing facility until the process is completed and the TP is unloaded.

  Such hot metal logistics operations are carried out by a plurality of management departments (hot metal HQ, railway HQ, raw material HQ). The hot metal HQ determines the steelmaking factory to which each TP is directed so as to continuously supply hot metal to steelmaking without delay based on the production plan at each steelmaking factory. In addition, the hot metal HQ determines whether or not to perform a destination steelmaking factory or preliminary treatment for each TP (presence or absence of preliminary treatment) in consideration of the component restrictions of each molten steel pan (CH). The railway HQ receives the determination of the hot metal HQ, and instructs each diesel operator which TP is to be transported to where. As soon as the TP arrives at the steelmaking plant, the raw material HQ distributes and mixes hot metal having different components from a plurality of TPs to the CH so as to satisfy the component constraints of each CH.

  As described above, the hot metal logistics operation is performed manually by an operator, and the lead time of each process and the competition of equipment (equipment interference) are determined or determined based on the subjective prediction of the operator. For this reason, the TP hot metal that could be pre-treated in the pre-treatment facility may be sent directly to the steelmaking plant as having no time, and the total number of TPs passing through the pre-treatment facility may be reduced. The pretreatment ratio, which is a ratio with respect to the number of TPs, decreases. If it does so, the hot metal which can be distributed to CH with severe component restrictions will run short, and the efficiency of hot metal distribution will fall as a whole.

  Therefore, in order to improve the efficiency of hot metal distribution by mathematical optimization, for example, Patent Document 1 describes the distribution (allocation) amount of TP hot metal to each CH and whether or not to perform preliminary processing of each TP. An algorithm for determining is disclosed. Further, Patent Document 2 discloses a physical distribution simulation in which the schedule is calculated backward from the required component amount, required component, and required time of each steelmaking factory, and by which time pretreatment should be performed for the hot metal of each TP. An algorithm based on is disclosed.

JP 2004-83963 A JP 09-249903 A

  Originally, TP exists abundantly between the blast furnace and the steelmaking factory, and can pass through the pretreatment facility only when there is enough time to perform the pretreatment. Therefore, when each TP arrives at the pretreatment facility, the pretreatment of the hot metal of each TP is completed, and the TP scheduling problem of when each TP leaves the pretreatment facility toward the steel factory, The CH hot metal distribution problem of how much hot metal is distributed to each CH is an inseparable problem. That is, the TP scheduling problem and the CH hot metal distribution problem are problems to be optimized simultaneously. Actually, the hot steel HQ that determines the steelmaking factory for each TP and the presence or absence of preliminary treatment controls the raw material HQ that determines the distribution amount of the hot metal of each TP to each CH and the operation of the diesel that pulls each TP. It operates while keeping close contact with the railway HQ.

  However, according to the technique described in Patent Document 1, when each TP arrives at the pretreatment facility, the pretreatment of the molten iron of TP is completed, and the TP starts the pretreatment facility toward the steel factory. The schedule cannot be determined.

  Moreover, in the technique of patent document 2, hot metal extraction is performed in a blast furnace according to a schedule, and it is presupposed that a cart is obtained according to a schedule. Therefore, although it is effective as a rough scheduling algorithm, it is insufficient as an online scheduling algorithm under disturbances such as changes in the output speed. Actually, the number of spears depends on the output speed in the blast furnace, and it is possible to pass through the pretreatment equipment only when there is time, so the hot metal HQ can be determined flexibly according to the situation. Desired. Therefore, it is expected to develop an optimization algorithm that can reflect the operation results such as the latest number of vehicles.

  The present invention has been made in view of the above problems, and an object thereof is to provide a hot metal distribution planning method and a hot metal distribution planning apparatus capable of scheduling hot metal distribution with a high pretreatment ratio.

  In order to solve the above problems and achieve the object, the hot metal logistics planning method according to the present invention creates a hot metal logistics plan in an ironworks where a hot metal pretreatment facility is installed between a blast furnace and a steelmaking factory. A hot metal distribution planning method, comprising: generating a candidate combination of hot metal transport container pairs loaded with hot metal to be pretreated in pairs in the pretreatment facility; and possible passage of each hot metal transport container Generating a process as a route candidate represented by a process permutation including movement, the route candidate, restrictions on competition of the preliminary processing equipment, and required within a certain period of time at each steelmaking plant. The ratio of the hot metal transport container in which the pretreatment is performed among all the hot metal transport containers while satisfying the restrictions on the cumulative amount of hot metal and the cumulative amount of hot metal after pretreatment. By solving the mathematical optimization problem so as to maximize the processing ratio, the candidate having the highest preliminary processing ratio is selected from the candidates for the route and the combinations of the pair, and the hot metal of the pair is selected. And a step of creating a hot metal distribution plan determined by the pretreatment facility to be used, and whether or not to perform pretreatment on the hot metal of each topped car, and To do.

  In the hot metal distribution planning method according to the present invention, in the above invention, the hot metal distribution plan for the hot metal transport container loaded with the hot metal generated within the predetermined period A is created, and then the first hot metal distribution plan within the predetermined period A is used. For the hot metal transport container for loading the hot metal generated during the predetermined period B, the hot metal distribution plan created is set as a default, and the hot metal generated during a period in which the time frame of the predetermined period A is shifted by the predetermined period B is used. The hot metal distribution plan is created for the hot metal transport container to be loaded.

  The hot metal distribution planning apparatus according to the present invention is a hot metal distribution planning apparatus for creating a hot metal distribution plan in an ironworks where a hot metal pretreatment facility is installed between a blast furnace and a steelmaking factory, The means for generating a combination of hot metal transport container pairs for loading the hot metal to be pretreated in pairs in the facility, and the passing steps that can be taken by each of the hot metal transport containers are represented in a permutation of processing including movement. A means for generating the route candidate, restrictions on the competition of the pretreatment facility, the accumulated amount of hot metal required within a certain period in each steelmaking factory, and the hot metal after pretreatment Mathematical optimization problem to maximize the pretreatment ratio, which is the ratio of the hot metal transport containers to which pretreatment is carried out, while satisfying the restrictions on the accumulated quantity By solving, the one with the highest pretreatment ratio among the route candidates and the pair combination candidates is selected, and the steelmaking factory to which each hot metal transport container of the pair is directed, each hot metal transport And a means for creating a hot metal distribution plan determined by the pretreatment equipment to be used, and whether or not to perform pretreatment on the hot metal in the container.

  According to the hot metal distribution planning method and hot metal distribution planning apparatus according to the present invention, hot metal distribution having a high pretreatment ratio can be scheduled.

FIG. 1 is a schematic view illustrating an arrangement of facilities related to hot metal distribution targeted for hot metal distribution planning processing according to an embodiment of the present invention. FIG. 2 is a block diagram showing a configuration of a hot metal distribution planning apparatus according to an embodiment of the present invention. FIG. 3 is a flowchart showing the flow of hot metal distribution planning processing according to the present embodiment. FIG. 4 is an explanatory diagram for explaining routes that can be taken by the TP. FIG. 5 is a conceptual diagram showing the relationship between TP, Pattern, and Job. FIG. 6 is an explanatory diagram for explaining the outline of the hot metal distribution planning process of the present embodiment. FIG. 7 is an explanatory diagram for explaining a procedure for satisfying the time constraint and the component constraint. FIG. 8 is an explanatory diagram for explaining a procedure for advancing the hot metal distribution planning process while limiting the time frame. FIG. 9 is a Gantt chart showing the hot metal distribution plan of this example. FIG. 10 is a Gantt chart showing the hot metal distribution plan of this embodiment.

  Hereinafter, with reference to the drawings, hot metal distribution planning processing by the hot metal distribution planning apparatus according to an embodiment of the present invention will be described. In addition, this invention is not limited by this embodiment.

[Hot metal logistics equipment]
First, with reference to FIG. 1, an arrangement of equipment related to hot metal distribution that is a target of the hot metal distribution plan created by the hot metal distribution planning process according to an embodiment of the present invention will be described. The steel works illustrated in FIG. 1 have two pretreatment facilities (pretreatment facilities 1, pretreatment) between three blast furnaces (1 blast furnace to 3 blast furnaces) and two steel mills (1 steel making, 2 steel making). Equipment 2) is arranged. Among these, the pretreatment facility 1 has two stations (the pretreatment facility 1-1 and the pretreatment facility 1-2), and the pretreatment facility 2 has one station. Further, on both sides of the pretreatment facility 1, removal equipment (front removal and rear removal) is arranged.

  During normal operation, the hot metal produced in one of the blast furnaces (BF) is received by the TP as a hot metal transport container and transported to one of the steelmaking plants (1 steelmaking, 2 steelmaking). For example, about 40 of about 40 TPs are operated as a cast iron containing hot metal. These TPs are transported by about 10 diesels.

  When the component adjustment is performed on the hot metal by the pretreatment, the pretreatment is performed on the hot metal of TP via the pretreatment facility, and the phosphorus concentration of the hot metal is reduced by half. At each station of the pretreatment facility, pretreatment can be performed simultaneously on two TP hot metal. However, during the preliminary processing for a single TP hot metal, the preliminary processing equipment cannot start the preliminary processing for a new TP hot metal until the processing is completed and the TP is carried out. When the TP passes through the pretreatment facility 1, the TP passes before and / or after the front and rear removals. On the other hand, when the pretreatment is not performed on the hot metal, TP is sent directly to the steelmaking factory.

[Configuration of hot metal logistics planning equipment]
Next, with reference to FIG. 2, the structure of the hot metal physical distribution planning apparatus which is one embodiment of the present invention will be described. FIG. 2 is a block diagram showing a configuration of a hot metal distribution planning apparatus according to an embodiment of the present invention. As shown in FIG. 2, a hot metal distribution planning apparatus 1 according to an embodiment of the present invention is realized by an information processing apparatus 10 such as a workstation or a personal computer, and is an input unit that is an input device such as a power switch and an input key. 20. An output unit 30 such as a display device or a printing device is provided. The hot metal distribution planning device 1 functions as a pair generation unit 11, a route generation unit 12, and an optimization unit 13 by an arithmetic processing device such as a CPU in the information processing device 10 executing a control program stored in a memory. To do. The functions of these units will be described later.

  In the present embodiment, the control program is implemented using CP (Constraint Programming). The hot metal distribution planning apparatus 1 is connected to a host system (not shown) via a telecommunication line such as a LAN or the Internet so that data communication is possible. The hot metal distribution planning device 1 acquires various operation result values from the host system.

[Logistics planning process]
In the hot metal distribution planning apparatus 1 having such a configuration, the information processing apparatus 10 executes the hot metal distribution planning process shown below. As a result, the pretreatment ratio is maximized while satisfying the operation restrictions considered by the hot metal HQ such as the hot metal arrival time required for each hot metal ladle (CH), the target component of each CH, and the competition restriction of the pretreatment equipment. In addition, a hot metal distribution plan in which variables such as the destination steel factory, the presence / absence of preliminary processing, and the preliminary processing equipment to be used are determined for each TP is created.

  Hereinafter, with reference to the flowchart shown in FIG. 3, the operation of the information processing apparatus 10 when this hot metal distribution planning process is executed will be described. In the flowchart shown in FIG. 3, for example, the process is started at the timing when the operator inputs a start instruction, and the hot metal distribution planning process proceeds to the process of step S1.

  In the process of step S1, the pair generation unit 11 predicts that the train (TP) generated in the blast furnace is generated at the same frequency thereafter, based on, for example, the actual value of the frequency of occurrence in the latest 6 hours, At the same time, candidate combinations of TP pairs to be subjected to preliminary processing in the preliminary processing facility are generated (enumerated). In that case, the pair production | generation part 11 enumerates all the combinations of the pair of TP which satisfy | fills the following operation restrictions.

  A pair of TPs generated in the same blast furnace at a time interval of 50 minutes or less is paired. The reason why the TPs of the same blast furnace are used is that, in the TPs of different blast furnaces, the travel time of diesel that pulls the TP is wasted. In addition, unless the required time at the steel factory is tight, as many TP pairs as possible are generated in order to prevent the pretreatment of the molten iron of a single TP. Therefore, a pair of TPs that are adjacent in time and whose time interval is 50 minutes or less is paired. Thereby, the process of step S1 is completed and the hot metal distribution planning process proceeds to the process of step S2.

  In the process of step S2, the route generation unit 12 generates route candidates that each TP can take. Here, with reference to FIG. 4, the route which each TP can take is demonstrated. As shown in FIG. 4, the routes that can be taken from the blast furnace of each TP to the steelmaking plant are classified into seven. For each route, the process is divided, each process including movement is defined as Job, and each route represented by Job permutation is defined as Pattern. For example, route 1 moves from the blast furnace to the previous removal (Job 1), treatment in the previous removal (Job 2), and movement from the previous removal to the pretreatment facility 1-1 (including the waiting time) (Job 3). From the permutation of the six jobs: processing in the pretreatment facility 1-1 (Job 4), movement from the pretreatment facility 1-1 to one steelmaking (Job5), and dispensing to the molten steel pan in one steelmaking (Job6) It is expressed by Pattern. Thereby, the process of step S2 is completed and the hot metal distribution planning process proceeds to the process of step S3.

  In the layout of FIG. 1, pre-removal and post-removal are shown as the dehulling equipment. However, when the pre-removing equipment is passed, the post-removal is always passed. Including the time required for post-removal treatment in the time required to move to the steelmaking factory, the plan for post-removal was not solved explicitly.

  Here, FIG. 5 is a conceptual diagram showing the relationship between TP, Pattern, and Job. As shown in FIG. 5, “Pattern” corresponds to a passing process of TP, and “Job” corresponds to a process constituting each passing process. When one of a plurality of Patterns each composed of a plurality of jobs is selected for each TP, one of the routes of each TP is selected, the destination steel factory, the presence / absence of preliminary processing, and the preliminary processing equipment to be used, etc. The variables are determined.

  In the process of step S3, the optimization unit 13 selects a candidate for the combination of TP pairs generated in the process of step S1 and a candidate route for each TP generated in the process of step S2. Use a high pretreatment ratio. Specifically, as shown in the outline of the processing in FIG. 6, the optimization unit 13 satisfies the constraint conditions such as the equipment interference, the time constraint, and the component constraint among the candidate routes of each TP, while maintaining the preliminary processing ratio. The combination of TP pairs and the root are selected so that the value of the evaluation function that evaluates is the optimum value (maximum value).

  At this time, the optimization unit 13 also determines the start time and end time of each job. Further, the optimization unit 13 sets the lead time of each process and the generation time of TP (car train) based on the actual value.

  Thereby, the optimization part 13 determines variables, such as a destination steelmaking factory, the presence or absence of preliminary processing, and preliminary processing equipment, and optimizes a hot metal distribution plan. Thereby, the process of step S3 is completed and the hot metal distribution planning process proceeds to the process of step S4.

  In the process of step S4, the output unit 30 outputs the optimized hot metal distribution plan in an appropriate format. Thereby, the process of step S4 is completed and a series of hot metal physical distribution plan processes are complete | finished.

  Hereinafter, the constraint condition and the evaluation function in the process of step S3 will be specifically described.

[Restrictions]
The optimization unit 13 considers the constraint conditions exemplified below when selecting the Pattern of each TP.

[Equipment interference]
Concerning equipment competition, the number of TPs that can be simultaneously subjected to preliminary processing in the preliminary processing equipment 1-1, the preliminary processing equipment 1-2, and the preliminary processing equipment 2 is limited to two. Further, the only TPs that can simultaneously perform the preliminary processing in the same preliminary processing facility are the TPs that constitute the pair generated in the process of step S1. The start time and end time of this pair of TP preliminary processes are the same.

[Time constraints]
Each TP must be in time for the time required for each CH at the steel plant.

(Component restriction)
Satisfying the target value of each CH component is considered in the following procedure. That is, in this embodiment, in order to satisfy the time constraint and the component constraint, the integrated amount of the hot metal amount of TP transported to each steelmaking plant and the integrated amount of the hot metal amount after pretreatment are required in each steelmaking plant. The destination steelmaking factory of each TP is determined so as to exceed the amount of hot metal (required hot metal amount) and the amount of hot metal after pretreatment (required amount of hot metal after pretreatment).

  Hereinafter, this procedure will be specifically described with reference to FIG. First, when the target value of the phosphorus component of CH required by each steelmaking factory is below a predetermined threshold value, it is necessary to reduce this component by pretreatment. Accumulate the required amount of hot metal after pretreatment. In this embodiment, attention is focused only on the target phosphorus concentration, but the same restriction can be added to other components such as silicon and sulfur.

  Moreover, among the seven routes (see FIG. 4) that each TP can take, for example, the destination steelmaking factory integrates the amount of hot metal of TPs of routes 1 to 3, which is one steelmaking, to obtain the planned amount of hot metal of one steelmaking, The amount of hot metal of TPs of Routes 1 and 2 that pass through the pretreatment facility is integrated to obtain the planned hot metal amount after pretreatment of one steelmaking. It is assumed that distribution to CH becomes possible when each TP arrives at the steel factory.

  Then, as illustrated in FIG. 7, the required amount of hot metal and the amount of hot metal required after preliminary treatment are always obtained at each time point when the amount of planned hot metal and the amount of hot metal after preliminary treatment conveyed to one steelmaking are sequentially distributed to each CH. The destination steel factory for each TP will be determined to exceed

〔Evaluation function〕
In the hot metal distribution planning process of the present embodiment, the optimum solution is the one that maximizes this value using the total number of TPs that have passed through the preliminary process as an evaluation function.

  As is clear from the above description, in the hot metal distribution planning process of the hot metal distribution planning apparatus 1 of the present embodiment, the pair generation unit 11 generates a candidate for a combination of TP pairs generated in the blast furnace. Further, the route generation unit 12 generates a pattern represented by a permutation of processing including movement as a candidate route that each TP can take. Then, the optimization unit 13 satisfies the constraint conditions such as the equipment interference constraint, the time constraint, and the component constraint, and the combination of the TP pair and the route so that the evaluation function for evaluating the preliminary processing ratio becomes the optimum value. And determine variables such as the destination steel mill for the hot metal logistics plan, the presence or absence of pre-treatment, and pre-treatment equipment. In particular, the TP route is selected so that the amount of hot metal transported to each steel plant and the amount of hot metal after pre-treatment exceed the required amount of hot metal and the amount of hot metal after pre-treatment. A hot metal logistics plan that satisfies the constraints and component constraints is created. As described above, a hot metal distribution plan having a high pretreatment ratio is created by replacing the preparation of the hot metal distribution plan with a mathematical optimization problem that maximizes the pretreatment ratio.

  In the present embodiment, the hot metal distribution planning apparatus 1 limits the target of the hot metal distribution planning process to the TP generated in three hours, and shifts the time frame of the hot metal distribution planning process target by one hour. However, the hot metal logistics planning process is repeated.

  FIG. 8 is a conceptual diagram for explaining the processing procedure performed with the time frame limited as described above. Specifically, as shown in FIG. 8 (a), the hot metal distribution planning device 1 has passed or passed past TPs (generated miscaries) at the start (current) of the hot metal distribution planning process. Fix the scheduled process. Then, as shown in FIG. 8 (b), the hot metal distribution planning device 1 first performs hot metal distribution planning processing for the TP generated three hours ahead from the present. Next, as shown in FIG. 8C, the hot metal distribution planning apparatus 1 fixes the planned passing process for TP generated in one hour from the present to one hour ahead. Next, as shown in FIG. 8 (d), the hot metal distribution planning device 1 performs hot metal distribution planning processing for TPs generated in three hours from one hour ahead to four hours ahead from the present. Then, as shown in FIG. 8 (e), the hot metal distribution planning device 1 fixes the planned passing process as a default for TP generated in one hour from one hour ahead to two hours ahead from the present. The hot metal distribution planning apparatus 1 repeats the same processing thereafter.

  As described above, the hot metal distribution planning apparatus 1 creates a hot metal distribution plan that designates the TP passage process in a time frame of 3 hours, fixes the initial 1 hour hot metal distribution plan as a default, and sets the time frame to 1 hour. Repeat the process of creating a hot metal distribution plan by shifting back one by one. As a result, the hot metal distribution planning device 1 can create a hot metal distribution plan for TP for a long time while reducing the load on the information processing apparatus 10.

  In addition, the reason for limiting the TP for creating a plan to 3 hours in the future is to obtain a solution with a practical calculation time (for example, within 1 minute) until the number of TPs generated in about 3 hours in the future. This is because the planning target must be limited (when a current high-speed PC or the like is used).

  In addition, the reason for fixing the TP plan for “one hour” in the future is as follows. In other words, if the plan for all TPs for 3 hours for which a plan is created in one process is fixed, there are too many plans already fixed when creating a TP plan by further calculating steps. This is because the degree of freedom in planning may be lost and it may become impossible to execute. Therefore, by fixing only the first hour (here, for example, about 1/3 of the entire time), the degree of freedom of the plan at the next plan is maintained. Here, the frame of 3 hours and 1 hour is merely an example, and the time frame may be changed.

  Moreover, in the said embodiment, although the topped car was illustrated as a hot metal transport container, the hot metal transport container may be a hot metal ladle or other containers, and the hot metal distribution planning process can be applied.

(Example)
The hot metal distribution planning process of the present embodiment was executed for half a day of TP. FIG. 9 is a Gantt chart illustrating the hot metal distribution plan created for the TP for 3 hours from the start of the hot metal distribution plan process. FIG. 10 is a Gantt chart illustrating a hot metal distribution plan created for half a day of TP. Table 1 shows the preliminary treatment ratio (pretreatment facility passage ratio) as a calculated value. Table 1 shows the preliminary processing ratio of the result of the manual operation by the operator as the actual value.

  As shown in Table 1, it was confirmed that the pretreatment ratio was improved by about 10% by the hot metal distribution planning process of the present embodiment.

  Although the embodiment to which the invention made by the present inventor is applied has been described above, the present invention is not limited by the description and the drawings that form a part of the disclosure of the present invention. That is, other embodiments, examples, operational techniques, and the like made by those skilled in the art based on this embodiment are all included in the scope of the present invention.

DESCRIPTION OF SYMBOLS 1 Hot metal physical distribution planning apparatus 10 Information processing apparatus 11 Pair production | generation part 12 Route production | generation part 13 Optimization part 20 Input part 30 Output part

Claims (3)

A hot metal logistics planning method for creating a hot metal logistics plan in an ironworks where a hot metal pretreatment facility is installed between a blast furnace and a steelmaking factory,
Generating a combination candidate of a hot metal transport container for loading hot metal to be pretreated in pairs in the pretreatment facility; and
Generating a passing process that can be taken by each hot metal transport container as a route candidate represented by a permutation of processing including movement; and
For the route candidates, while satisfying the restrictions on the competition of the pretreatment equipment and the restrictions on the accumulated amount of hot metal and the accumulated amount of hot metal after pretreatment required within a certain period in each steelmaking factory, By solving the mathematical optimization problem so as to maximize the pretreatment ratio, which is the ratio of the hot metal transport containers in which the pretreatment is performed among all the hot metal transport containers, among the candidates for the route and the combinations of the pairs , Select the one with the highest pretreatment ratio, and whether or not to perform pretreatment for the hot metal of each hot metal transport container, the steelmaking factory to which each hot metal transport container of the pair is directed Creating a hot metal distribution plan determined by the pretreatment facility;
A hot metal logistics planning method characterized by comprising:   After creating the hot metal distribution plan for the hot metal transport container for loading the hot metal generated within the predetermined period A, the hot metal transport container for loading the hot metal generated for the first predetermined period B within the predetermined period A is prepared. The hot metal distribution plan is set as a default, and the hot metal distribution plan is created for a hot metal transport container loaded with hot metal generated during a period in which the time frame of the predetermined period A is shifted by the predetermined period B. The hot metal logistics planning method according to claim 1, wherein: A hot metal logistics planning apparatus method for creating a hot metal logistics plan in an ironworks where a hot metal pretreatment facility is installed between a blast furnace and a steelmaking factory,
Means for generating candidate combinations of hot metal transport container pairs for loading hot metal to be pretreated in pairs in the pretreatment facility;
Means for generating a passing step that can be taken by each hot metal transport container as a route candidate represented by a permutation of processing including movement;
For the route candidates, while satisfying the restrictions on the competition of the pretreatment equipment and the restrictions on the accumulated amount of hot metal and the accumulated amount of hot metal after pretreatment required within a certain period in each steelmaking factory, By solving the mathematical optimization problem so as to maximize the pretreatment ratio, which is the ratio of the hot metal transport containers in which the pretreatment is performed among all the hot metal transport containers, among the candidates for the route and the combinations of the pairs , Select the one with the highest pretreatment ratio, and whether or not to perform pretreatment for the hot metal of each hot metal transport container, the steelmaking factory to which each hot metal transport container of the pair is directed Means for creating a hot metal distribution plan determined by the pretreatment facility;
A hot metal logistics planning device comprising:

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