JP6593080B2 - Steelmaking rolling planning device, steelmaking rolling planning method, and program - Google Patents

Description

  The present invention relates to a steelmaking rolling plan planning apparatus, a steelmaking rolling plan planning method, and a program, and in particular, a manufacturing plan in a steelmaking process using equipment including a converter and continuous casting equipment, and a rolling process using equipment including a heating furnace and rolling equipment. It is suitable for use in planning.

In the steel industry, thick steel plates (thick plates) are manufactured through a plurality of manufacturing processes such as steelmaking, rolling, finishing, inspection, and shipping.
In the production of such planks, expanding tapping lots, to optimize in accordance with operational indicators metrics are in a relationship of mutual trade-off improvement of leveling, and delivery Percent loading of fine settling step In addition, there is a technology for automatically drafting a steel production plan. It is necessary to make such a steel production plan with a calculation time of about several minutes over a long period of about 10 days to 3 weeks. Therefore, if the order is used as a unit for planning as it is, the problem scale is large and the calculation time is long. For this reason, in Patent Document 1, as a planning unit that can take into account indicators such as the steelmaking lot, the load of the refining process, and the delivery date, a production type is defined in which orders having the same or similar indicators are grouped. A technique for drafting a steel production plan for each production type has been proposed. Optimization calculation that considers the above-mentioned evaluation index, which production types are assigned to multiple (empty) steel production frames that are arranged in time series and have a steel production amount for each production date. After creating a steel production plan for each production type (steel production date and amount of production by production type), the production plan can be formulated by associating an order with the steel production plan. Complete. Then, assuming that the steel strip that is tapped in the order of tapping Plan (slabs) are rolled in this order, the amount of load in the rolling daily precision integer steps, the deviation of the rolling date for rolling expiration date, delivery Percent Etc.

The steel piece corresponding to the order tied to the steel output frame is placed in a yard or the like and then sent to the next process (hot rolling process) with the temperature as high as possible. In the following description, a steel piece that is sent to the hot rolling process at such a high temperature is referred to as a hot piece as necessary.
On the other hand, at the actual manufacturing site, after steel production, surplus materials (steel pieces that are not tied to any order) are stored as semi-finished products, and orders are tied and rolled to the surplus materials that are stored. There is a case. Such surplus materials are usually cooled to about room temperature. In the following description, the steel piece sent to the hot rolling process in a state where the temperature is lowered to about room temperature as described above is referred to as a cold piece as necessary. In addition, a steel slab that is predetermined to be maintained after steel is cooled to room temperature after steel is extracted, and then a maintenance work is performed (such a maintenance work is referred to as a cold work). In addition, when it is necessary to confirm whether the quality of the steel slab is ensured due to operational fluctuations or the like in the steelmaking process, the steel sheet is inspected after being cooled to room temperature after steel production (such as this) If it becomes a cold piece without any intention, it is called cold drop.)

  Steel slabs rolled as cold pieces are often determined in the immediate vicinity of the planning timing, such as the day of planning or the day before. For this reason, in the prior planning stage, the order tied to the steel piece rolled as a cold piece and the rolling timing of the steel piece are often not decided. Therefore, in the technique described in Patent Document 1, it is assumed that the steel pieces tied to all orders are rolled as hot pieces. Therefore, it is necessary to manually correct the production plan so that cold pieces can be taken into account after making a steel production plan that takes into account only hot pieces. For this reason, the planning load increases and the planning accuracy decreases.

  On the other hand, there is a technique described in Patent Document 2 as a technique for creating a production plan in consideration of both hot piece rolling (HCR) and cold piece rolling (CCR). In Patent Document 2, the casting order and rolling order for each billet cycle such as HCR, CCR, etc. are determined in accordance with a predetermined rule in order from the billet cycle having a high priority.

JP-A-2015-90532 JP 2013-33450 A

However, the technique described in Patent Document 2 does not consider simultaneously optimizing the entire billet cycle. Moreover, in the technique described in Patent Document 2, an order associated with a steel material rolled as a cold piece is determined in advance. For this reason, it is not possible to select an order associated with the steel material to be cold-rolled in consideration of the evaluation index.
As described above, according to the conventional technology, it is not possible to simultaneously optimize the order pegging for each of the steel material rolled as a hot piece, the steel material rolled as a cold piece, and the steel material stored as a cold piece after steel output. There was a problem.

  The present invention has been made in view of the problems as described above, and each of a steel material rolled as a hot piece, a steel material rolled as a cold piece, and a steel material stored as a cold piece after steel output The purpose is to be able to optimize the pegging of orders to

  The steelmaking rolling plan planning device of the present invention is a steelmaking rolling plan planning device for planning a steelmaking process and a steelmaking rolling plan that is a manufacturing plan in the rolling process, and includes a weight, a steel type, and a steel output for a plurality of orders. Order database storage means for storing order information including at least a deadline date or a rolling deadline date and a finishing process method of a finishing process performed after the rolling process, and each of the steel types included in the order information A first manufacturing method for supplying molten steel to the steelmaking process and supplying the steel material that has undergone the steelmaking process as a hot piece to the rolling process; and a steel material that has supplied molten steel to the steelmaking process and has undergone the steelmaking process as a cold piece A second manufacturing method for supplying to the rolling process, and a third manufacturing method for supplying a steel material already subjected to the steel making process to the rolling process. The manufacturing method determining means for determining any of the manufacturing methods, the steel type of the order information, the manufacturing method, and the refining processing method aggregate the same orders as one manufacturing type, the manufacturing type, Order matrix creating means for creating an order matrix in which orders with the same date for steel production or the rolling deadline date are aggregated by weight as the same order group, and each of the refining processes for each of the manufactured varieties A production type model storage means for storing a production type model, which is the probability of occurrence of processing in the process, and a frame to which an order for the steel material produced by the first production method is allocated, and the amount of steel output in the steel making process And at least one first steel output frame in which the steel output timing is determined, and a frame to which an order of steel materials manufactured by the second manufacturing method is assigned, At least one second steel output frame in which a steel output amount and a steel output timing in the process are determined, and a frame to which an order of steel products manufactured by the third manufacturing method is assigned, Steel output frame / rolling frame setting means for setting at least one rolling frame in which a rolling amount and a rolling timing are determined, the order matrix, the production type model, the first steel output frame, the first 2 and the rolling frame, at least the evaluation value for leveling the load of each step of the refining process, the difference between the steeling date and the steeling date, and the rolling date The evaluation function expressed by using the evaluation value for the difference between the rolling date and the rolling date and the evaluation value for the size of the steelmaking lot, including the steel output restriction that the steel output is below the upper limit of the steel output capacity Range that satisfies the constraints The optimization calculation means for calculating the allocation amount by production type, which is the amount of steel output and the rolling amount for each production type, by the mathematical optimization method, and calculating by the optimization calculation means. A steelmaking rolling plan creation means for creating a steel production plan and a rolling plan based on the production type appropriation frame, and the optimization calculation means is a steel material produced by the first production method. With respect to the production type, the amount of steel output by the production type by day is calculated as the appropriation frame by production type, and the production type in the steel material produced by the second production method is As the load that does not occur in each step of the finishing process, the amount of steel output by the production type by day is calculated as the appropriation frame by the production type, and the steel in the steel produced by the third production method Production varieties The rolling amount for each production type is calculated as the allocation frame for each production type, and the steelmaking rolling plan creating means is configured to calculate the first rolling amount based on the amount of steel output for each manufacturing type according to the day. Assigning an order for the steel material manufactured by the manufacturing method to the first outgoing steel frame, and assigning an order for the steel material manufactured by the second manufacturing method to the second outgoing steel frame. Creating a steel plan and creating the rolling plan by assigning to the rolling frame an order for the steel material produced by the third production method based on the rolling amount of the production type by day It is characterized by.

  A steelmaking rolling plan planning method of the present invention is a steelmaking rolling plan planning method for planning a steelmaking process and a steelmaking rolling plan that is a manufacturing plan in the rolling process, and includes a weight, a steel type, and a steel output for a plurality of orders. An order database storage step for storing order information including at least a deadline date or a rolling deadline date and a finishing process method of a finishing process performed after the rolling process, and each of the steel types included in the order information A first manufacturing method for supplying molten steel to the steelmaking process and supplying the steel material that has undergone the steelmaking process as a hot piece to the rolling process; and a steel material that has supplied molten steel to the steelmaking process and has undergone the steelmaking process as a cold piece A second manufacturing method for supplying to the rolling process, and a third manufacturing method for supplying a steel material already subjected to the steel making process to the rolling process. The manufacturing method determining step for determining any of the manufacturing methods, the steel type of the order information, the manufacturing method, and the refining processing method aggregate the same orders as one manufacturing type, the manufacturing type, An order matrix creating step for creating an order matrix in which orders that have the same date for steel production or the rolling deadline date are aggregated by weight as the same order group, and each of the refining processes for each of the manufactured varieties A production type model storage step for storing a production type model that is a probability of occurrence of processing in the process, and a frame to which an order of steel materials manufactured by the first manufacturing method is allocated, and the amount of steel output in the steel making process And at least one first steel output frame in which the steel output timing is determined, and a frame to which an order of steel materials manufactured by the second manufacturing method is assigned, At least one second steel output frame in which a steel output amount and a steel output timing in the process are determined, and a frame to which an order of steel products manufactured by the third manufacturing method is assigned, A steel output frame / rolling frame setting step for setting at least one rolling frame in which a rolling amount and a rolling timing are determined, the order matrix, the production type model, the first steel output frame, the first 2 and the rolling frame, at least the evaluation value for leveling the load of each step of the refining process, the difference between the steeling date and the steeling date, and the rolling date The evaluation function expressed by using the evaluation value for the difference between the rolling date and the rolling date and the evaluation value for the size of the steelmaking lot, including the steel output restriction that the steel output is below the upper limit of the steel output capacity Range that satisfies the constraints The optimization calculation process that calculates the allocation amount by production type, which is the amount of steel output and the rolling amount for each production type, by the mathematical optimization method, and the optimization calculation step. And a steelmaking rolling plan creation step for creating a steelmaking plan and a rolling plan based on the assigned production type allocation frame, wherein the optimization calculation step is a steel material manufactured by the first manufacturing method. With respect to the production type, the amount of steel output by the production type by day is calculated as the appropriation frame by production type, and the production type in the steel material produced by the second production method is As the load that does not occur in each step of the finishing process, the amount of steel output by the production type by day is calculated as the appropriation frame by the production type, and the steel in the steel produced by the third production method Production varieties The rolling amount for each production type by day is calculated as the appropriation frame for each production type, and the steelmaking rolling plan creation step is based on the amount of steel output by the production type by day. Assigning an order for the steel material manufactured by the manufacturing method to the first outgoing steel frame, and assigning an order for the steel material manufactured by the second manufacturing method to the second outgoing steel frame. Creating a steel plan and creating the rolling plan by assigning to the rolling frame an order for the steel material produced by the third production method based on the rolling amount of the production type by day It is characterized by.

  The program of this invention functions as a computer as each means of the said steelmaking rolling plan preparation apparatus, It is characterized by the above-mentioned.

  According to the present invention, it is possible to simultaneously optimize custom pegging for each of a steel material rolled as a hot piece, a steel material rolled as a cold piece, and a steel material stored as a cold piece after steel output. .

It is a figure which shows an example of schematic structure of a manufacturing process. It is a figure which shows the 1st example of a functional structure of the steelmaking rolling plan planning apparatus. It is a flowchart explaining the 1st example of a process of the steelmaking rolling plan planning apparatus. It is a figure which shows an example of order information. It is a figure which shows an example of the 1st order matrix. It is a figure which shows an example of the 1st order matrix in which the manufacturing method was set. It is a figure which shows an example of the 2nd order matrix. It is a figure explaining an example of the method of setting a steel-out frame and a rolling frame. It is a figure which shows an example of a manufacture kind model. It is a figure which shows an example of the allocation frame classified by manufacture kind. It is a figure which shows an example of the weight function provided to the evaluation function of delivery date compliance. It is a figure which shows an example of the steelmaking rolling plan. It is a figure which shows the 2nd example of a functional structure of the steelmaking rolling plan planning apparatus. It is a flowchart explaining the 2nd example of a process of the steelmaking rolling plan planning apparatus. It is a flowchart explaining an example of a process of the 2nd optimization calculation part (2nd optimization calculation step S1401). It is a figure explaining an example of the preparation method of a neighborhood solution.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
(First embodiment)
First, the first embodiment will be described.
<Manufacturing process>
FIG. 1 is a diagram illustrating an example of a schematic configuration of a manufacturing process (steel making process, rolling process, and refining process) of a thick steel plate (thick plate). In FIG. 1, arrows indicate the flow of work in progress.

  In the converter 101, a steel output component, which is a chemical component of a steel intermediate product (molten steel) in a high-temperature molten state, is adjusted in units of, for example, about 300 tons, and the steel is output to a molten steel pan. The steel output unit in the converter 101 is called charge.

  In the continuous casting equipment 102, molten steel produced in the converter 101 is continuously cast for a plurality of charges, and then cut into a specified length, for example, to obtain a plate-like intermediate product called a slab of about 20 tons. To manufacture. A series of production units in the continuous casting facility 102 is called casting. Although it depends on the manufacturing specifications, the 8 to 12 charges are generally manufactured as one cast.

  In the rolling equipment 103, the slab is heated in a heating furnace and then formed to a predetermined thickness and width.

  For the rolled thick plate conveyed from the above process, the refining (cutting) equipment 104 performs cutting to the size of the order specification, and the refining (heat treatment) 105 performs heat treatment for ensuring quality. The refining (special inspection) facility 106 inspects whether or not the quality is ensured, and the products that have undergone all the processing are placed in the warehouse 107. In addition, the product cut | disconnected to the size of order specification is called a plate.

The size (unit) of a representative minimum production lot in each production facility of the thick plate production process is, for example, 300 tons in the converter 101, 2400 tons in the continuous casting facility 102, 20 tons in the rolling facility 103, and the refining facilities 104 to 106 is 3 tons, and the warehouse 107 is 3 tons.
In the following description, in order to simplify the description, as shown in FIG. 1, a case where the refining process is three processes of a cutting process, a heat treatment process, and a special inspection process will be described as an example. However, the refining process is not limited to these processes. For example, in addition to or instead of these steps, a correction step and a care step may be included in the refining step.

<Steel-making rolling planning device 200>
FIG. 2 is a diagram illustrating an example of a functional configuration of the steelmaking rolling plan planning apparatus 200. The hardware of the steelmaking rolling planning apparatus 200 is realized by using, for example, an information processing apparatus including a CPU, ROM, RAM, HDD, and various interfaces and dedicated hardware. FIG. 3 is a flowchart for explaining an example of processing of the steelmaking rolling plan planning apparatus 200.

[Order DB 201]
The order DB (database) 201 stores order information. FIG. 4 is a diagram illustrating an example of the order information 400.
The order information 400 includes an order number. , The number of products, the unit weight of the product, the steel extraction / rolling deadline date, the steel type, the availability of hot strip rolling, the product size, the scheduled manufacturing process, and the product type key.

Order No. Is an identification number that uniquely identifies the order.
The number of products is the number of products included in the order.
Product weight is the weight per product. By multiplying the product weight by the number of products, the total weight of each order is obtained.
The steel delivery / rolling deadline date is a casting delivery date (steel delivery deadline (request) date) or a rolling delivery date (rolling deadline (request) date). A steeling deadline date is set for the steelmaking plan, and a rolling deadline date is set for the rolling plan.
The steel type is information indicating a steel output component (slab component) of the converter 101.
The hot piece rolling availability is information indicating whether the hot piece can be rolled.

The product size is the size of the product (height H × width W × length L).
The scheduled manufacturing process is information indicating the prediction of whether or not the finishing process has passed. Here, “passing” means that the product is processed in the process. For example, when a thick plate of order 1 is manufactured, cutting is scheduled to be performed by the refining (cutting) equipment 104, but heat treatment by the refining (heat treatment) equipment 105 and refining (special inspection) equipment 106. Indicates that no special inspection will be conducted at Prediction of whether or not a refining process has passed is, for example, by using past manufacturing performance data as learning data and building a model that predicts whether or not each refining process has passed from the manufacturing specifications of the order using a method such as a decision tree. This can be realized by giving a custom manufacturing specification to the constructed model.

  The product type key is information combining the steel type and the finishing method. The refining process method represents the likelihood that the order will be processed in a refining process in which the processing load should be leveled out when making a steelmaking rolling plan among a plurality of refining processes. Here, the refining processing method is expressed as a passing process pattern. The passing process pattern is based on the predicted value (0: difficult to pass, 1: easy to pass) of each refining process in the order of refining processes (the refining (cutting) equipment 104, refining (heat treatment). ) The codes are arranged in the order of equipment 105 and finishing (special inspection) equipment 106). Here, the predicted value of the easiness of passing through the refining process is, for example, 1 (easy to pass) if the passing probability in the refining process is equal to or higher than a certain threshold, and 0 (passed) if it is less than a certain threshold. It may be judged as difficult).

  However, the passing process pattern is not necessarily constructed in this way. For example, you may construct | assemble a passage process pattern using the symbol which discretized the passage frequency instead of the ease of passage. For example, the passing frequency of the refining process is represented by three symbols of A (low frequency), B (medium frequency), and C (high frequency), and the past manufacturing performance data is used as learning data for each refining process. It is also possible to construct a model that predicts the symbol (A, B, C) of the passing frequency from the manufacturing specifications of the order and arrange the predicted values of the predicted model in the order of the refinement process to form a passing process pattern.

  Furthermore, the representation method of the refinement processing method may not be a passing process pattern as long as it can determine the likelihood that the order will be processed in a specific refinement process in which the processing load should be leveled. For example, in the refining process where the processing load should be leveled according to the steel application field (shipbuilding field, building field, industrial machine field, etc.) and the steel material standard, if the likelihood that the order will be processed can be determined As the expression of the processing method, the application field and standard of the steel material may be used.

  The order information 400 is created in advance by hand, and the created order information 400 is registered in the order DB 201 based on the operation of the user interface of the steelmaking rolling planning apparatus 200 or the like.

[Slab surplus material DB202]
The slab surplus material DB (database) 202 stores the weight of each slab (slab not linked to any order) placed as a surplus material in a yard or the like for each steel type. In the following description, this weight is referred to as surplus material slab weight as necessary. The surplus material slab weight is confirmed at the manufacturing site, and the confirmed surplus material slab weight is registered in the slab surplus material DB 202 based on the operation of the user interface of the steelmaking rolling planning apparatus 200 or the like.

[First Order Matrix Creation Unit 203, Order Information Reading Step S301, First Order Matrix Creation Step S302]
The first order matrix creation unit 203 reads the order information 400 from the order DB 201 and also reads the surplus material slab weight information from the slab surplus material DB 202.

Next, the first order matrix creation unit 203 aggregates the order information 400 by weight for each steel type and for each steelmaking / rolling deadline date, and derives the weight for each steel type and steelmaking / rolling deadline date, The hot slab rolling availability and the surplus material slab weight are set for each steel type. Thereby, the 1st order matrix which shows the steel classification, the weight according to a steelmaking and rolling deadline date, the hot piece rolling availability of a steel classification, and the surplus material slab weight of a steel classification is created.
FIG. 5 is a diagram illustrating an example of the first order matrix 500.

[Manufacturing method decision logic DB 204]
In the present embodiment, all orders are classified into any one of cold-rolled steel (CCR yard), cold-rolled steel (CCR appropriation), and hot-rolled steel (HCR). The manufacturing method determination logic DB 204 stores manufacturing method determination logic for classifying manufacturing methods in this way. The manufacturing method determination logic is realized by a computer program, for example.
The cold-rolled steel (CCR yard) refers to storing in a yard or the like (performing the above-described cold-flank operation) without rolling (as a hot piece) after continuous casting.
Cold strip rolling (CCR appropriation) refers to rolling using a slab placed as a cold strip (surplus material) in a yard or the like.
Hot strip steel (HCR) refers to rolling a slab as a hot strip after continuous casting.

In the present embodiment, a case where manufacturing methods are classified according to the following manufacturing method determination logic (A) to (D) will be described as an example.
(A) The steel type that indicates whether or not hot strip rolling is possible is classified as cold rolled steel (CCR yard).
(B) Steel types with surplus material slabs (with surplus material slab weight> 0) are classified as cold strip rolling (CCR appropriation).
(C) Small lots (steel grades whose total weight is below the threshold) are excluded from planning.
(D) Steel types that do not correspond to any of (A) to (C) are classified into hot strip rolling (HCR).
Thus, in this embodiment, one manufacturing method is set for one steel type (a plurality of different manufacturing methods are not set for one steel type).
The manufacturing method determination logic is manually created in advance, and the generated manufacturing method determination logic is registered in the manufacturing method determination logic DB 204 based on the operation of the user interface of the steelmaking rolling planning apparatus 200 or the like. Note that the manufacturing method determination logic may be directly input to the steelmaking rolling plan planning apparatus 200 based on the operation of the user interface of the steelmaking rolling plan planning apparatus 200 and registered in the manufacturing method determination logic DB 204.

[Manufacturing Method Determination Unit 205, Manufacturing Method Determination Step S303]
The manufacturing method determination unit 205 reads the manufacturing method determination logic from the manufacturing method determination logic DB 204, and determines the manufacturing method for each steel type in the first order matrix 500 according to the read manufacturing method determination logic.
FIG. 6 is a diagram illustrating an example of a first order matrix 600 in which a manufacturing method is set.
In FIG. 6, the steel types A and D are “possible” for hot strip rolling, the remaining material slab weight is 0 (zero), and is not a small lot, so any of the above-described (A) to (C) And does not correspond to (D) described above. Therefore, hot strip rolling (HCR) is set as a manufacturing method of steel types A and D.
Steel type B corresponds to the above-mentioned (A) because it cannot be hot-rolled. Therefore, cold-rolled steel (CCR yard) is set as a manufacturing method of steel type B.
Steel types C, E, and F correspond to the above-described (B) because there is a surplus material slab (residual material slab weight> 0). Therefore, cold-rolling (CCR appropriation) is set as a manufacturing method for steel types C, E, and F.

[Second order matrix creation unit 206, second order matrix generation step S304, order matrix / product model / frame reading step S306]
The second order matrix creating unit 206 classifies the first order matrix 600 in which the manufacturing method is set for each passing process pattern, and classifies by steel type, by manufacturing method, by passing process pattern, and by each steelmaking / rolling deadline date. Create a second order matrix that indicates the weight of. The passing process pattern is specified from the product type key of the order information 400.
FIG. 7 is a diagram illustrating an example of the second order matrix 700.

In the present embodiment, orders having the same steel type, manufacturing method, and passing process pattern are classified as manufacturing varieties, and a steel output / rolling plan is created in units of the manufacturing varieties.
The production type means a group of orders in which the steel type (the steel output component of the converter 101), the production method, and the finishing method are the same. In the production line for thick plate products and steel pipe products, it is important to level the load of the finishing process. Therefore, a group of orders with the same steel output components, manufacturing method, and passing process pattern of the refining process of the converter 101 is set as a production type. In this way, the production type is a composition in which the steel composition and production method of the converter 101 are subdivided into a precise passing process pattern (the steel composition and production method are classified into large categories, and the passing process pattern is classified into small categories). ).
The second order matrix 700 created as described above is read by the optimization calculation unit 210 described later.

[Steel output frame / rolling frame setting unit 207, output steel frame / rolling frame setting step S305, order matrix / product model / frame reading step S306]
The steel output frame / rolling frame setting unit 207 sets the steel output frame and the rolling frame.
In the steel output frame, the amount of steel output (number of casts and the size of each cast (maximum number of charges in one cast)) that can be assigned to the steel output frame, and the time of steel output (time of the steel output frame) Order of alignment on the axis). In the present embodiment, as such a steel output frame, a plurality of steel output frames for hot strip steel (HCR) and at least one steel output frame for cold rolling (CCR yard) are set. Here, the size of the steel output frame for hot slab steel (HCR) and the steel output timing are determined based on the operation plan of the steelmaking process. Further, the steel rolling frame for cold-rolling (CCR yard) is set in a size corresponding to the order quantity at the timing when the delivery date of the order to be cold-rolled is approaching.

By performing optimization calculation to be described later, one of the production types of hot-striped steel (HCR) is assigned as a manufacturing method to any of the steel-tapping frames for hot-striped steel (HCR). Moreover, any of the production types of cold-rolling rolling (CCR yard) is assigned to any of the steel output frames for cold-rolling rolling (CCR yard). Then, an order is linked to the assigned production type.
In the present embodiment, the steel type can be specified for the steel output frame for cold strip rolling (CCR yard). Only the production type of the designated steel type can be assigned to the steel rolling frame for cold rolling (CCR yard) for which such designation is made.
Similarly, a steel type can be designated with respect to the steel output frame for hot strip steel (HCR). Only the production grades of the designated steel types can be assigned to the steel frame for hot strip steel (HCR) for which such designation has been made.

In the rolling frame, a maximum value of the rolling amount (weight of the slab to be rolled) that can be assigned to the rolling frame and a rolling timing (arrangement order on the time axis of the rolling frame) are determined. In the present embodiment, as such a rolling frame, at least one rolling frame for hot rolled steel (HCR) and at least one rolling frame for cold strip rolling (CCR application) are set. By performing optimization calculation to be described later, a production type of cold strip rolling (CCR allocation) is assigned to one of the rolling frames for cold strip rolling (CCR allocation). Then, an order is linked to the assigned production type.
In this embodiment, a steel type can be designated with respect to the rolling frame for cold strip rolling (CCR application). Only production varieties including the designated steel grade can be assigned to the cold rolling (CCR appropriation) rolling frame for which such designation has been made.

  Designation of the steel types for the above-described cold rolled (CCR yard) steel frame and cold rolled (CCR appropriated) rolled frame may be performed for the entire frame or a part of the frame. it can. For example, when a production grade for X charge can be assigned to a steel strip for cold rolling (CCR yard), the steel grade is specified only for the first charge to x (<X) charge, For the remaining x + 1 charge to X charge, it is possible not to specify the steel type. In this case, from the x + 1 charge to the X charge, any production type can be assigned as long as the production method is a cold-rolled (CCR yard) production type.

FIG. 8 is a diagram illustrating an example of a method for setting a steel output frame and a rolling frame. In FIG. 8, the steel extraction / rolling date is a steel extraction planned date or a rolling planned date within the planning target period, and is different from the aforementioned steel output / rolling deadline date. With reference to FIG. 8, an example of a procedure for setting the steel output frame and the rolling frame will be described.
(1) Initial arrangement of steel output frames Taking into consideration the order quantity to be manufactured within the planning period and the operation plan of the process, steel output frames (output steel frames 811a to 811e for hot rolled steel (HCR) and cold strip rolling) (Steel frame 812) for (CCR yard) is arranged. As described above, the steel output frame is given as the cast size (maximum value of the number of charges in one cast) and the steel output timing (the order of arrangement of the steel output frames on the time axis).

  The daily steel frame is approximately the same size because it depends on the equipment capacity of the steel making process, but if the steel making process equipment is scheduled to be suspended, the size of the steel frame (cast size) Adjust and set. For example, in the example shown in FIG. 8, since the equipment for the steelmaking process is scheduled to be stopped on September 4, the steel output frame 811c for hot-strip steel (HCR) is smaller than the other steel output frames. It is set as a steel frame.

Further, the steel output frame 812 for cold-rolling (CCR yard) is set based on the quantity of orders to be cold-rolled (CCR yard) and the delivery date (date of steel output / rolling deadline). For example, as shown in FIG. 6, since the delivery date of the order in which the manufacturing method is cold-rolling (CCR yard) (steeling / rolling deadline date) is September 5, as in the example shown in FIG. On September 5, a steel frame 812 for cold-rolling (CCR yard) is set.
In this way, the steel output frames (the steel output frames 811a to 811e for hot strip steel (HCR) and the steel output frame 812 for cold strip rolling (CCR yard)) are determined by the planner. Therefore, the steel output frame / rolling frame setting unit 207 is provided with the steel output frames (the steel output frames 811a to 811e for the hot squeezed steel (HCR) and the cold steel frames based on the operation to the user interface of the steelmaking rolling planning apparatus 200). A steel strip 812) for single rolling (CCR yard) is set.

(2) Designation of steel type for the steel output frame Next, when the steel production date of the cold rolled (CCR yard) steel type is approaching, the steel output for the cold rolled (CCR yard) of that day is approaching. The steel type is designated in a frame 812. In the example shown in FIG. 8, steel type B whose production method is cold strip rolling (CCR yard) has a date of steel extraction of September 5 (see FIG. 7), so the date of steel output is September. Steel type B is designated as a steel rolling frame 812 for cold-rolling (CCR yard) on the 5th (see (B) in 812 of FIG. 8).

This designation may be performed by the planner or automatically performed by the steel output frame / rolling frame setting unit 207 based on the logic. When the steel output frame / rolling frame setting unit 207 designates the steel type based on the logic, the steel output deadline date is approaching, for example, the steel production time limit of the steel type whose production method is cold rolling (CCR yard) Judgment can be made based on whether or not the earliest date is within a predetermined date from the planning start date. As a result of this determination, when the earliest date of the steelmaking deadline of the steel type for which the production method is cold-rolled (CCR yard) is within a predetermined day from the planning start date, for the cold-rolled (CCR yard) of that day The steel type is designated in the steel output frame 812. The logic indicating such a procedure is realized by a computer program, for example.
This designation is not necessarily performed.

(3) Rolling frame initial arrangement Next, according to the hot rolled steel (HCR) outgoing steel frames 811a to 811e set in (1), the hot rolled steel (HCR) rolled frames 821a to 821e are set. . For example, the time required for the slab to be transported to the rolling facility 103 after the slab is manufactured in the continuous casting facility 102 and the time required for rolling the slab belonging to the steel strip for hot slab steel (HCR). The hot-rolled steel (HCR) is indexed based on the size of the steel frame for the hot-rolled steel (HCR) and the capacity of the equipment, and the hot-rolled steel (HCR) is lined up with as little time as possible. ) Rolling frames 821a to 821e are disposed.

  Next, when there is an empty space between the hot-rolled steel (HCR) rolling frames, the cold-rolling (CCR appropriating) rolling frames 822a and 822b are arranged so as to fill the empty portions. . In addition, since the slab which belongs to the steel output frame 812 for cold strip rolling (CCR yard) performs the cold strip operation, it is not an object of the rolling plan.

As described above, the rolling frame is given as the maximum value of the rolling amount (the weight of the steel slab) and the rolling timing (the arrangement order of the rolling frames on the time axis).
The arrangement of rolling frames 821a to 821e for hot-rolled steel (HCR) and rolling frames 822a and 822b for cold-rolling (CCR application) shows the procedure described in this section ((3) Initial arrangement of rolling frames). The steel output frame / rolling frame setting unit 207 automatically performs based on the logic. The logic is realized by a computer program, for example.

(4) Designation of steel type for rolling frame Next, the production method is cold rolling (CCR appropriation) and the rolling deadline date of the steel type is approaching (within a predetermined date from the planning start date). When the rolling amount (weight) on the rolling due date is equal to or greater than the threshold value, the steel type is specified in the rolling frame 822 for cold rolling (CCR application) on that day. In the example shown in FIG. 8, there is a steel type C whose production method is cold-rolled (CCR appropriation) with a rolling deadline date of September 4th, and the rolling amount (weight) on that day is 400 tonnes, which is a threshold value. Since it is (= 200 ton) or more (see FIG. 7), the steel type C is designated in the rolling frame 822a for cold strip rolling (CCR appropriation) on September 4 (see ( See C)).

This designation may be performed by the planner or automatically performed by the steel output frame / rolling frame setting unit 207 based on the logic. When the steel output frame / rolling frame setting unit 207 designates the steel type based on the logic, the rolling deadline date is approaching, for example, the rolling deadline date of the steel type for which the manufacturing method is cold rolling (CCR appropriation). It can be determined by whether the earliest date is within a predetermined date from the planning start date. As a result of this judgment, if the earliest date among the rolling due dates of the steel types for which the production method is cold-rolled (CCR application) is within a predetermined day from the planning start date, rolling for cold-rolling (CCR application) on that day The steel type is designated in the frame 822a. The logic indicating such a procedure is realized by a computer program, for example.
This designation is not necessarily performed.

  As shown in FIG. 8, since only the rolling is performed for the production varieties with CCR appropriation, the steel output / rolling deadline shown in FIG. 7 is the rolling deadline. For other manufactured varieties, the date of steel extraction / rolling shown in FIG. 7 is the date of steel extraction.

  Rolled steel frames 811a to 811e for hot-rolled steel (HCR), rolled steel frames 812 for cold-rolled rolling (CCR yard), and rolling for cold-rolled rolling (CCR application) set as described above. The frames 822a and 822b are read by the optimization calculation unit 210 described later.

[Manufactured product model DB 208, order matrix / product model / frame reading step S306]
The production type model DB (database) 208 stores a production type model that is an occurrence rate (occurrence probability) of each of the refining processes for each production type. FIG. 9 is a diagram illustrating an example of the manufactured product model 900.
There are I types of steel types i as types of the production type model 900 (r [i] [j] [l]), and there are J [i] types of passage patterns j for each of the steel types i. There are L processes (three types of cutting processes, heat treatment processes, and special inspection processes) as the number of finishing processes. The production type is a combination of a steel type, a production method, and a passing process pattern, and the number of production types is the sum of values from J [1] to j [I]. In addition, since one manufacturing method is set with respect to one steel type as mentioned above, it can also be said that a manufacturing kind is a combination of a steel type and a passage process pattern. The incidence of the refining process is different for each product type. For example, in the production type of steel type A (i = 1) and passing process pattern 100 (j = 2), the rate of occurrence of the cutting step (l = 1) is 0.3, and the rate of occurrence of the heat treatment step (l = 2) Is 0.1, and the occurrence rate of the special inspection process (l = 3) is 0.1.

  The production type model 900 investigates which refining process has passed for each steel type and passing process pattern from the past operation results data, and derives the occurrence rate of each refining process from the result of the investigation. Created by. The produced production type model 900 is registered in the production type model DB 208 based on the operation of the user interface of the steelmaking rolling planning apparatus 200. The production type model 900 registered in the production type model DB 208 in this way is read by the optimization calculation unit 210 described later.

[Planning Policy Setting Unit 209, Planning Policy Setting Step S307]
The planning policy setting unit 209 sets planning policy parameters that are various conditions for creating a plan. The planning policy parameters include, for example, a process capability upper limit value (process load upper limit value), an optimization calculation time (calculation time of the optimization calculation unit 210), an optimization calculation convergence condition, and a priority (adjustment) of each evaluation index. Weight for leveling the load of the process, weight for the difference between the steeling / rolling deadline date and the steeling / rolling date, weight for expanding the steeling lot, weight for product quality, etc.). The planning policy parameters are created by the plan creator, and the steelmaking frame / rolling frame setting unit 207 sets the created planning policy parameters based on operations on the user interface of the steelmaking rolling plan planning device 200.

[Optimization Calculation Unit 210, Evaluation Function Constraint Expression Setting Step S308, Optimization Calculation Step S309]
The optimization calculation unit 210 includes a second order matrix 700, a steel strip frames 811a to 811e for hot strip steel (HCR), a steel strip frame 812 for cold strip rolling (CCR yard), and cold strip rolling ( Evaluation values for leveling the process load at least in the refining process, and the date and time of the steel production / rolling and the steel production using the rolling frames 822a and 822b for CCR application), the production model 900, and the planning policy parameters・ Expression function expressed by weighted linear sum of evaluation value for difference with rolling date and evaluation value for steelmaking lot expansion, and output amount constraint that output amount is below upper limit of output capacity A constraint equation including the constraint equation represented by is set. Then, the optimization calculation unit 210 performs the optimization calculation by minimizing or maximizing the value of the evaluation function by multi-objective mixed integer programming, and produces the amount of steel output and the production amount for each day and each production type. Calculate the appropriation frame by production type, which is the rolling amount.

FIG. 10 is a diagram illustrating an example of the production type allocation frame 1000 (x [i] [j] [k]).
The production type allocation frame x [i] [j] [k] represents the amount of steel produced or rolled on the date k for the production type having the steel type i and the passing process pattern j by the weight. Here, k represents the date of steelmaking when the allocation frame by production type x [i] [j] [k] is the outgoing steel frame, and the allocation frame by production type x [i] [j] [k] is In the case of a rolling frame, it represents the rolling date. As described with reference to FIG. 8, for a production type whose manufacturing method is cold-rolling (CCR appropriation), the rolling amount is determined as an appropriation frame x [i] [j] [k] for each production type. With respect to production varieties of other production methods, the amount of steel output is determined as a production type allocation frame x [i] [j] [k].

  Due to the various delivery times and passing processes of orders, in the first order matrix 500 shown in FIG. 5, slabs and planks of various steel types must be manufactured on various days, as shown in FIG. In the case of steel grade A, it can be seen that the steel grades to be manufactured on a daily basis are gathered, as in September 3 and September 4, and in the case of steel grade B, September 5. Thus, the purpose of the optimization calculation is to calculate the allocation frame for each production type in which the number of steel types to be manufactured on a daily basis is small (the number of steel types is large in the steel production plan). However, there are restrictions and evaluation functions that must be taken into consideration in addition to the number of steel types when calculating the quota for each production type, which will be described.

The constraint equation will be described.
First, there is a limit to the amount of steel output, and the daily steel output S [k] on the kth day is subject to the steel output restriction expressed by the following equation (1). Here, S_max represents the upper limit of steel capacity for one sunrise.

  The optimization calculation unit 210 sets the constraint equation of the equation (1) by giving the steel output / rolling date k and the steel output capacity upper limit S_max to the equation (1).

  The amount of steel output C [i] [k] of the steel type i on the kth day is the appropriation frame x for each production type of the kth day, the steel type i, and the passing process pattern j (= 1, 2... J [i]). As a sum of the integrated value of all the passing process patterns of [i] [j] [k] and the surplus billing material β [i] [k] of the kth day, steel grade i, the relationship of the following equation (2) It is represented by Here, J [i] is the number of types of the passing process pattern of the steel type i. The billing surplus material β [i] [k] is the difference between the amount of steel output C [i] [k] and the allocation frame by production type x [i] [j] [k]. This is the weight of the slab that is not rolled and stored in the yard as a surplus slab.

  The optimization calculation unit 210 sets the constraint equation of the equation (2) by giving the equation (2) with the steel type i, the passing process pattern j, the steel output / rolling date k, and the number of production types J [i]. .

It is not necessary to start and roll the steel as in the first order matrix 500, and it is only necessary that the steel is output and rolled within a range that does not greatly deviate from the steel output and rolling deadline. A certain amount of steel and rolling for sunrise includes those for different steelmaking and rolling deadlines. Approval frame x [i] [j] [k] by production type of k-th day, steel grade i, passing process pattern j is the production of k-th day, steel grade i, passing process pattern j, and steelmaking / rolling deadline date t As a cumulative value within the planning period (K days) of the allocation frame x _t [i] [j] [t] [k] for each type of steel and rolling due date, it is expressed by the following equation (3).

  The optimization calculation unit 210 sets the constraint equation of the equation (3) by giving the steel type i, the passing process pattern j, the steel production / rolling date k, and the planning period K (maximum value of k) to the equation (3). To do.

Overall order volume and production volume are balanced. Therefore, within the planning period (K days), the order matrix x _r [i] [j] [t] and the kth steel grade i of the steel output component i, the passing process pattern j, the steel output / rolling deadline date t The relationship between the passing process pattern j and the production type allocation frame x [i] [j] [k] is expressed by the following equation (4).

  The optimization calculation unit 210 gives a restriction on the expression (4) by giving the steel type i, the passing process pattern j, the steel output / rolling date k, the steel output / rolling deadline date t, and the planning period K to the expression (4). Set the expression.

  The load of the refining process depends on the occurrence rate of the refining process. Therefore, the process load y [l] [k] of the refining process l on the kth day is the allocation frame x [i] [j] [k] for each production type of the kth day, the steel type i, and the passing process pattern j. , The steel type i, the passing process pattern j, and the production type model r [i] [j] [l], which is the occurrence rate of the refining process l, is related by the following equation (5).

Here, when the production method is a production type of CCR (yard), the production type model r [i] [j] [l] is set to 0 (zero) because it is retained in the yard after steel production.
Here, the case where the unit of load of the refining process is set as a weight is shown as an example. However, the average number of units per unit weight is set in advance for each production type, and the load of the refining process is set. Units may be converted to numbers and handled.
The optimization calculation unit 210 gives the equation (5) with the steel type i, the passing process pattern j, the steel extraction / rolling date k, the finishing process l, the number I of steel types, and the number J [i] of the production types ( 5) Set the constraint equation.

The lot size LOT_SIZE is the processing amount of one lot in the converter, the amount of steel output C [i] [k] of the steel grade i on the kth day, and the number of lots δ _L [i] of the steel grade i on the kth day. Using [k], they are related by the following equation (6).

  The optimization calculator 210 sets the constraint equation of the equation (6) by giving the lot size LOT_SIZE, the steel type i, and the steel output / rolling date k to the equation (6).

The following formula (7) indicates whether or not there is a steel of type i on the kth day. It is assumed that δ _c [i] [k] takes 1 if there is a steel of type i on the kth day, and 0 otherwise.

  However, the maximum value of the steel output amount C [i] [k] of the steel type i is defined as M on the kth day. That is, the expression (7) is a formulation of the following expression (8).

  The optimization calculation unit 210 sets the constraint formula of the formula (7) by giving the maximum value M of the steel output amount C [i] [k], the steel type i, and the steel output / rolling date k to the formula (7). To do.

  By using the minimum interval days span [i] set for each steel type, the restriction on the steel output / rolling schedule date for each steel type is expressed as the following equation (9).

  The optimization calculating unit 210 sets the constraint equation of the equation (9) by giving the minimum interval days span [i], the steel type i, and the steel extraction / rolling date k to the equation (9). To do.

  A certain number or more of devices for the finishing process after the number of days achieve_day [l] set for each finishing process l are secured. The relationship between the initial in-process stock_0 [l] and the in-process stock [l] [k] of the k-th and refining process l is expressed by the following equation (10).

  The optimization calculation unit 210 sets the constraint equation of the equation (10) by giving the refining step l and the steel output / rolling date k to the equation (10).

  The constraint equation for securing the safety device is represented by the following equation (11) using safety_stock [l].

  The optimization calculation unit 210 gives the expression (11) with the number of days safety_stock [l], the finishing process l, and the steelmaking / rolling date k until the work in the finishing process is secured to a certain level ( 11) Set the constraint equation.

  Using the cast steel number H [i] and cast number h [i] [k] of one cast unit set for each steel type, the constraint to produce steel at an integral multiple of the cast is expressed by the following equation (12): It is expressed as follows.

  The optimization calculation unit 210 sets the constraint equation of the equation (12) by giving the number of outgoing steel cups H [i], the steel type i, and the output date k to the equation (12).

  Equation (13) is a constraint on the daily steel-specific steel production planned amount waku [i] [k]. The daily steel type planned steel production amount waku [i] [k] is obtained from the size of the steel production frame set by the steel production frame / rolling frame setting unit 207.

  The optimization calculating unit 210 gives the constraint equation of the equation (13) by giving the equation (13) with the steel type i, the steel production / rolling date k, and the daily steel type production amount waku [i] [k]. Set.

Here, among the rolling frames for CCR (appropriation), if the daily rolling amount of the rolling frame 822a in which the steel type is specified is C _max1 [k], the manufacturing method is CCR (appropriation) Instead of the equations (6), (7), (12), and (13), the following constraint equation (14) is used. In the equation (14), the daily rolling amount C _max1 [k] is the size of the rolling frame 822a for CCR (appropriation) set by the steel output frame / rolling frame setting unit 207 and designated by the steel type ( Weight).

The optimization calculation unit 210 sets the constraint equation of the equation (14) by giving the steel type i, the steel output / rolling date k, and the daily rolling amount C _max1 [k] to the equation (14).
Further, assuming that the daily rolling amount of the rolling frame 822b in which the steel type is not specified among the rolling frames for CCR (appropriation) is C _max2 [k], Instead of the formulas (6), (7), (12), and (13), the following constraint formula (15) is used. In equation (15), C _max2 [k] is obtained from the size (weight) of the rolling frame 822b for CCR (appropriation) set by the steel output frame / rolling frame setting unit 207 and for which the steel type is not specified. It is done.

The optimization calculation unit 210 sets the constraint equation of the equation (15) by giving the steel type i, the steel output / rolling date k, and the daily rolling amount C _max2 [k] to the equation (15).

Next, the evaluation function will be described.
The following equation (16) is an evaluation index aimed at minimizing the amount of preceding steel and the amount of delayed steel, that is, minimizing the difference between the date of steel production / rolling and the date of steel production / rolling.

However, ref [i] [j] [k] is the cumulative value Σx _t [i] [j] [t] [q of the steel output i of the production grade of the steel grade i and the passing process pattern j up to the k-th day. ] (Q = 1 to k) is a target value, and is expressed as the following equation (17).

  The optimization calculation unit 210 includes a steel type i, a passing process pattern j, a steel extraction / rolling date k, a steel extraction / rolling deadline date t, the number of steel types I, a planning period K (maximum value of k), and the number of production types. The evaluation function of the equation (16) is set by giving J [i] to the equations (16) and (17).

Equation (18) is an evaluation function that aims to minimize the difference between the total steel output S [k] on the k-th day and the steel capacity target value S _r [k] on the k-th sunrise.

The optimization calculation unit 210 sets the evaluation function of the equation (18) by giving the steel output / rolling date k and the steel output capability target value S _r [k] to the equation (18).

  Equation (19) is an evaluation function aimed at leveling the load of the finishing process, and is an evaluation function aimed at minimizing the difference between the moving average of the process load for 3 days and the process capability upper limit value.

  The optimization calculation unit 210 gives the formula (19) by giving the formula (19) the finishing process l, the steelmaking / rolling date k, the planning period K (the maximum value of k), and the number L of the finishing processes. Set the evaluation function for.

  Expression (20) is an evaluation function aimed at minimizing billing surplus materials.

  The optimization calculation unit 210 gives the evaluation function of the equation (20) by giving the steel type i, the steel production / rolling date k, the planning period K (maximum value of k), and the number I of the steel types to the equation (20). Set.

  Equation (21) is an evaluation function aimed at minimizing the number of dissimilar steel joints during casting (expansion of steel production lot). The number of joints of different steel types at the time of casting is the number of joints of two charges that are continuously cast in a continuous casting facility and have different steel types.

  The optimization calculation unit 210 gives the evaluation function of the equation (21) by giving the steel type i, the steel production / rolling date k, the planning period K (maximum value of k), and the number I of the steel types to the equation (21). Set.

  In addition, in order to minimize delays in delivery and minimum product inventory, delays and stocks of several days before and after the steelmaking and rolling deadlines are allowed, and in order to suppress excessive preceding steel and late steel (22 ) Is assigned to the evaluation function for observing the delivery date.

  FIG. 11 is a diagram illustrating an example of a weight function 1100 that is assigned to an evaluation function for observing a delivery date. For example, a = 2, b = 5, and c = 100. This weighting function 1100 is represented as W (k, t). When W (k, t) is added to the equation (16) and the weighted linear sum of the equations (16) and (18) to (21) is taken, a comprehensive evaluation function that balances each evaluation index (23) is obtained.

Here, W ₁ , W ₂ , W ₃ , W ₄ , and W ₅ are respectively the degree of compliance with the date of production and rolling deadlines, the degree of achievement of the quantity of steel production, the level of process load level, the minimum degree of billing surplus, and the lot summary It is a relative evaluation weight for achievement. That is, the setting of the priority of each evaluation index in the planning policy setting unit 209 is to set the evaluation weights W _{1 to} W ₅ . Evaluation weights W ₁ is the evaluation of the tapping-rolling due date degree of compliance, other evaluation (tapping target amount achievement, step load leveling degree, wherein excess material minimum degree, and lot sizing achievement of Evaluation) balance against Is expressed. The same applies to the other evaluation weights W ₂ , W ₃ , W ₄ and W ₅ .

The optimization calculation unit 210 sets the comprehensive evaluation function of the expression (23) by giving the evaluation weights W ₁ , W ₂ , W ₃ , W ₄ , and W ₅ to the expression (23).
Then, the optimization calculation unit 210 performs the optimization calculation by the mixed integer programming according to the optimization calculation time and the optimization calculation convergence condition set by the planning policy setting unit 209, and the allocation frame x [i] [ j] [k] is calculated. In addition, the optimization calculation by the mixed integer programming may use a commercially available mathematical programming solver or the like.

  In the above constraint equations and evaluation functions, the steelmaking / rolling date k is not an actual date, but is given as a numerical value obtained by adding 1 each time the date is increased by taking 1 as the date with the earliest planning date. The same applies to the steelmaking / rolling deadline date t. Further, the steel type i is not an actual steel type but is given as a numerical value for uniquely identifying the steel type within a range of 1 to J [i]. The same applies to the passing process pattern j and the finishing process j.

  As described above, the production amount allocation frame x [i] [j] [k], which is the amount of steel output by day and production type and the rolling amount by day and production type, is derived. As described above, with respect to the manufactured varieties whose manufacturing method is CCR (appropriation), the rolling amount for each day and each product type is derived as the appropriation frame for each product type x [i] [j] [k]. On the other hand, for other production methods (hot slab rolling (HCR) and cold slab rolling (CCR yard) production varieties, the amount of steel output by day and production varieties depends on the production type allocation frame x [i] [j ] [k].

  In addition, as an evaluation function for leveling the load of the refining process, the absolute value of the difference between the moving average of the process load for 3 days and the process capacity upper limit value is used as shown in Equation (19). It may be the square of the difference between the moving average of the process load for 3 days and the upper limit of the process capability as in the following equation (19 ′), or the process load for 3 days as in the equation (19 ″). It is good also as a value which the moving average of exceeded the process capability upper limit. In addition, the number of days of the moving average is not limited to three days, and may be longer or shorter than three days, and is not limited to using the moving average, for example, daily process load and process capacity upper limit. It is good also as an evaluation function according to the difference.

  In addition, as well as leveling the load in the refining process, the evaluation is aimed at minimizing the amount of advanced steel and late steel, that is, minimizing the difference between the steel production / rolling due date and the steel production / rolling date. The index is not limited to the equation (16), and may be a quadratic function as in the following equation (16 ′), for example. In addition, W (k, t) is bilaterally symmetric in the example shown in FIG. 11, but may be bilaterally asymmetric (a large weight for the delayed steel amount and a small weight for the preceding steel amount).

  In addition, although the five evaluation indexes of the equations (16) to (21) are minimized, among these, the equations (16), (19), and (21) formulate a good cast plan. For this purpose, the equations (18) and (20) can be omitted. This is because with regard to the equation (18), since in many cases, the steel production is actually performed up to the upper limit of the steel production capacity, it is only necessary to consider the constraint equation of the equation (1). In addition, with regard to equation (20), since the order quantity is often equal to or greater than the steel output capacity, there is a plan to reduce the amount of billing surplus by minimizing the preceding steel output and delayed steel output. It is because it is obtained. Further, the evaluation index is not limited to the expressions (16) to (21), and an evaluation index other than the above may be added to the expression (23). Further, for example, by multiplying each term of the equation (23) by (−1), the five evaluation indexes of the equations (16) to (21) can be maximized.

[Steel-making rolling plan creation unit 211, steel-making rolling plan creation step S310]
The steelmaking rolling plan creation unit 211 creates a steelmaking rolling plan based on the production type allocation frame x [i] [j] [k] derived by the optimization calculation unit 210.

FIG. 12 is a diagram illustrating an example of a steelmaking rolling plan. In the example shown in FIG. 12, the steelmaking rolling plan creation unit 211 has the steel output frames 811a to 811e for hot squeezed steel (HCR) so as to meet the production type-specific allocation frames x [i] [j] [k]. The order included in the order information 400 is linked to one of the steel rolling frame 812 for cold strip rolling (CCR yard) and the rolling frames 822a and 822b for cold strip rolling (CCR application). At that time, in order from the one with the earliest date of steel output / rolling to the size of the allocation frame x [i] [j] [k] by production type in the steel output frame / rolling frame (the amount of steel output / rolling amount) Until that time, order is tied to the steel frame and rolling frame.
And the order allocated to the steel strip frames 811a-811e for hot-strip steel (HCR) sets the rolling frames 821a-821e as what is rolled after the required movement time between a steelmaking process and a hot rolling process.

  In the example shown in FIG. 12, the order of 900 ton steel grade A and the order of 600 ton steel grade D are linked to the hot steel rolling (HCR) steel frame 811a. In addition, as described with reference to FIG. 8, steel types B and C are designated for the cold rolled (CCR yard) rolled steel frame 812 and the cold rolled (CCR applied) rolled frame 822a, respectively. ing. Therefore, in the example shown in FIG. 12, the order of 1200 ton steel grade B is tied to the steel strip frame 812 for cold strip rolling (CCR yard), and the rolling frame 822a for cold strip rolling (CCR appropriation) , 800 ton steel grade C is tied.

For example, the steelmaking rolling plan creation unit 211 creates information necessary for obtaining the information shown in FIG. 12 as a steelmaking rolling plan. In addition, in FIG. 12, only the steel-making rolling plan about the production | generation kind (steel types AF) shown in FIG. 10 is shown. However, also it creates a steelmaking rolling plan for other manufacturing varieties, 1 2 thermal piece rolling blank in (HCR) for the tapping frame 811b, 811 d, also assigned to manufacture varieties 811 e.

Here, the specific example of the preparation method of the steel production plan (cast plan) among steelmaking rolling plans is demonstrated.
First, from the number of charges D [k] on the kth day calculated by the following equation (24), the number of casts E [k] on the kth day and the number of charges F [k] [m] of each cast are (25) and (26). As a result, the n-th charge of the m-th cast on the k-th day is obtained, and the steel-out frame for the hot-steel steel (HCR) is set by the steel-out frame / rolling frame setting unit 207. The number of casts and charges included in the frames 811a to 811e and the steel strip frame 812 for cold strip rolling (CCR yard) can be obtained. In addition, since the production method is manufactured using cold-rolled slabs for cold-rolled (CCR appropriation) production varieties, the calculation in equation (24) is for other than cold-rolling (CCR appropriation). For hot strip rolling (HCR) or cold strip rolling (CCR yard).

  Here, Ceiling (•) is a function that rounds up decimals to an integer. Round (·) is a rounding function. CAST_SIZE is the maximum possible number of charges in one cast, and F [k] [m] means the number of charges in the mth cast on the kth day (m = 1,..., E [k]). If the total number of charges from F [k] [l] to F [k] [E [k]] is different from D [k] as a result of calculating the number of charges for all casts using equation (26), F [ k] [l] are adjusted by adding or subtracting 1 in order. For example, when D [k] = 28 and CAST_SIZE = 12, E [k] = 3 and F [k] [1] = F [k] [2] = F [k] [3] = 9. , F [k] [1] + F [k] [2] + F [k] [3] = 27 (≠ D [k]), so that F [k] [1] = 10 is adjusted.

  Although the method shown by Formula (24)-Formula (26) is a calculation method in case there is one continuous casting machine, it can be easily extended even when there are a plurality of continuous casting machines. For example, if there are two continuous casting machines and the difference in capacity is 3: 4, the charge number D [k] calculated by equation (24) is divided into 3: 4, and the number of casts and the number of charges are divided. May be calculated by the equations (25) and (26).

As described above, after determining the number of casts E [k] and the number of charges F [k] [m] for each day in the planning period, each charge (of the mth cast on the kth day) is determined. The production type is assigned to the (nth charge) (n = 1,..., F [k] [m]).
First, the amount of steel output by production type is determined in order of date, production type number, and passing process pattern number from the production type allocation frame x [i] [j] [k].

  Next, the order quantity according to the steel production deadline date corresponding to the steel production quantity by production type is assigned in the order of the steel production deadline date. However, as described with reference to FIG. 8, an order for a production type in which the manufacturing method is CCR (yard) and the steel type is B is used for the cold rolled (CCR yard) steel frame 812. An amount is assigned.

As a result, it is possible to assign the charge and the production type. By using the production type and the allocation date x _t [i] [j] [t] [k] for each steelmaking date, You may determine the order quantity according to the date of steel-out due to the amount of steel-out.
In this way, the number of casts on each day of the planning period and the number of charges in each cast, the amount of steel output by steel type and production type of each charge, and the order amount by date of steel extraction deadline are determined, and this is the steel output plan. (Cast plan).

In addition, since the detail of the preparation method of the above steel production plan (cast plan) is described in patent document 1, the detailed description is abbreviate | omitted here.
In addition, as for the rolling plan, as with the steel production plan (cast plan), for the production method of cold strip rolling (CCR appropriation), from the allocation frame by production type x [i] [j] [k] The rolling amount (weight) for each steel type and passing process pattern is determined in order, manufacturing type number order, and passing process pattern number order, and the rolling deadline date is the earliest rolling order date that matches the rolling amount by manufacturing type. Can be created by assigning them in order. At this time, as described with reference to FIG. 8, the production amount of the cold-rolled (CCR appropriation) rolling frame 822a is CCR (appropriation) and the production amount is C. Is assigned. Moreover, the order quantity of the production | generation kind whose production method is CCR (appropriation) is allocated to the rolling frame 822b for cold strip rolling (CCR appropriation) irrespective of the steel type. In addition, since the size of the steel output frame is expressed in units of casts, when creating a steel output plan (cast plan), a plan is drawn from the allocation frame x [i] [j] [k] for each production type. It is necessary to determine the number of casts E [k] for each day of the period and the number of charges F [k] [m] for each cast (see equations (24) to (26)). On the other hand, since the size of the rolling frame is expressed by weight, such a conversion from weight to charge is not necessary when creating a rolling plan.

[Steel-making rolling plan display unit 212, planning result display step S311]
The steelmaking rolling plan display unit 212 displays the steelmaking rolling plan created by the steelmaking rolling plan creation unit 211 on a display device such as a computer display. The steelmaking rolling plan display part 212 displays the information shown in FIG. 12, for example.

[Steelmaking rolling plan registration unit 213, planning result confirmation step S312 and planning result registration step S313]
When the planner confirms the steelmaking rolling plan displayed by the steelmaking rolling plan display unit 212 and determines that the steelmaking rolling plan is to be adopted, the planner operates the user interface of the steelmaking rolling plan planning device 200 to I will tell you. Upon receiving this instruction, the steelmaking rolling plan registration unit 213 registers the current steelmaking rolling plan.

  On the other hand, when the planner determines that the steelmaking rolling plan displayed by the steelmaking rolling plan display unit 212 is not adopted, the planner operates the user interface of the steelmaking rolling plan planning apparatus 200 to change the planning policy parameters. Upon receiving this instruction, the planning policy setting unit 209 resets the planning policy parameters to the changed contents. Then, until the planner decides to adopt the steelmaking rolling plan, the planning policy parameter is reset, and the steelmaking rolling plan using the planning policy parameter is repeatedly created and displayed (that is, the planning policy setting of FIG. 3 is set). Step S307 to planning result confirmation step S312 are repeated).

[Summary]
As described above, in the present embodiment, the second order matrix 700 indicating the weights by manufacturing type (by steel type, by manufacturing method, by passing process pattern) and by steel output / rolling due date is created. Also, steel strip frames 811a to 811e for hot strip steel (HCR), steel strip frames 812 for cold strip rolling (CCR yard), and rolling frames 822a and 822b for cold strip rolling (CCR application) are provided. Set. And, the second order matrix 700, the steel strips 811a to 811e for hot strip steel (HCR), the steel strip frame 812 for cold strip rolling (CCR yard), and the cold strip rolling (CCR application) On the basis of the rolling frames 822a and 822b, the production type model 900 which is the occurrence rate (occurrence probability) of each refining process for each production type, and the planning policy parameters in a range satisfying the steel output amount constraint. Then, an allocation frame for each product type when minimizing an evaluation function represented by a weighted linear sum such as an evaluation value related to leveling of the process load of the refining process is calculated by a mathematical optimization method. Moreover, the steel type assigned to the slab to be rolled as cold slabs and the steel type assigned to the slabs stored as cold slabs after steelmaking are specified, and the steel types assigned to these are limited. As described above, considering the load and delivery time of the finishing process, the optimal order can be simultaneously assigned to the slab that is rolled as a cold piece, the slab that is rolled as a hot piece, and the slab that is stored as a cold piece after steelmaking. Can be determined. In addition, it is not necessary to revise the manufacturing plan in consideration of cold strip rolling after a manufacturing plan that takes into account only hot pieces. For this reason, work load can be reduced.

(Second Embodiment)
Next, a second embodiment will be described. Even in the first embodiment, a steelmaking rolling plan can be created. However, in the first embodiment, the casting order and rolling order for each steel type and cast (from where to where are the same cast) are not determined. In many cases, production control personnel manually determine the casting order, rolling order, and casting so that the casting restrictions and rolling restrictions are satisfied, but the optimization calculation unit 210 optimizes the delivery date compliance and refinement. Ignoring load leveling, etc., and thinking only about casting constraints / rolling constraints and casting lot expansion, a steelmaking rolling plan (steel production plan / rolling plan) may be created, and the effect of turning corner optimization is lost. It often ends up.

  Therefore, in this embodiment, the steelmaking rolling plan created by the steelmaking rolling plan creation unit 211 is used as an initial value, process load leveling, minimization of the difference between the steelmaking / rolling deadline date and the steelmaking / rolling date, Develop a steelmaking rolling plan that comprehensively considers steel lot expansion, casting restrictions and rolling restrictions. As described above, this embodiment is mainly different in that the steelmaking rolling plan described in the first embodiment is corrected. Therefore, in the description of the present embodiment, the same parts as those in the first embodiment are denoted by the same reference numerals as those in FIGS.

  FIG. 13 is a diagram illustrating an example of a functional configuration of the steelmaking rolling plan planning apparatus 1300. The hardware of the steelmaking rolling planning apparatus 1300 is realized by using, for example, an information processing apparatus including a CPU, ROM, RAM, HDD, and various interfaces and dedicated hardware. FIG. 14 is a flowchart for explaining an example of processing of the steelmaking rolling plan planning apparatus 1300.

  The steelmaking rolling plan planning apparatus 1300 of the present embodiment shown in FIG. 13 is obtained by adding a second optimization calculation unit 1301 to the steelmaking rolling plan planning apparatus 200 of the first embodiment shown in FIG. Become. Here, for convenience of explanation, the optimization calculation unit 210 shown in FIG. 2 is referred to as a first optimization calculation unit 210, and the steelmaking rolling plan creation unit 211 is referred to as an initial steelmaking rolling plan creation unit 211. .

  The flowchart shown in FIG. 14 is obtained by adding a second optimization calculation step S1401 between the steelmaking rolling plan creation step S310 and the planning result display step S311 to the flowchart shown in FIG. Here, for convenience of explanation, the optimization calculation step S309 shown in FIG. 3 is expressed as a first optimization calculation step S309, and the steelmaking rolling plan creation step S310 is expressed as an initial steelmaking rolling plan creation step S310. .

[Second Optimization Calculation Unit 1301, Second Optimization Calculation Step S1401]
The second optimization calculation unit 1301 uses a search method to formulate a steel production plan (cast plan) that also considers complex casting constraints.
FIG. 15 is a flowchart for explaining an example of processing of the second optimization calculation unit 1301 (second optimization calculation step S1401).
In the present embodiment, as a casting constraint related to product quality, three heavy constraints that should be strictly observed and two light constraints that should be preferably observed will be described as an example. Note that the content of casting constraints and the distinction between heavy constraints and light constraints differ for each continuous casting facility and product type, and the following is just an example.

(Casting Constraint 1: Heavy Constraint) The specified steel grade charge must not be cast at the beginning of the cast (not startable).
(Casting constraint 2: Heavy constraint) The specified steel type charge must be cast at the end of casting (last designation).
(Casting constraint 3: Heavy constraint) The specified steel type must be less than or equal to the specified number of charges in one cast (restricted number of consecutive).
(Casting constraint 4: light constraint) It is better not to cast the two specified steel grades continuously (dissimilar steel joint compatibility).
(Casting constraint 5: Light constraint) It is better to cast the charge in descending order of specific gravity in the cast (in order of specific gravity).

First, the second optimization calculation unit 1301 uses the steelmaking rolling plan (steeling plan (cast plan)) created by the initial steelmaking rolling plan creation unit 211 as the current solution and the optimum solution, and calculates an evaluation value (step S1501). ). The evaluation function for obtaining the evaluation value is the following expression (28) which is a function that returns the total value of the expression (23) and the evaluation value J _S calculated by the following expression (27).

Here, _JH is an evaluation index for drafting a cast plan that complies with heavy constraints on product quality. _JL is an evaluation index for drafting a cast plan that complies with light constraints on product quality. v _{1 to} v ₅ are the numbers of charges that violate the casting constraints 1 to 5 (the number of times the constraint is violated), and W _{6 to} W ₁₀ are their evaluation weights. The magnitudes of the evaluation weights W _{6 to} W ₁₀ are determined depending on the importance of the casting constraints, and the evaluation weights of the heavy constraints that need to be strictly observed are larger than the evaluation weights of the light constraints. Is set. The values of these evaluation weights are tested for optimization calculation under the conditions of several cases, adjusted so as to be a desirable plan result, along with the designation of the steel types of casting constraints 1 to 4 and the specific gravity for each steel type of casting constraints 5, It is read by the planning policy setting unit 209.

Casting constraints 1 to 5 are constraints related to the order of casting of charges. Although it is difficult to represent each in a linear format (not impossible, the number of variables becomes enormous), but if casting and charging to be cast are decided It can be easily determined whether or not the casting constraints 1 to 5 are violated, and the evaluation value J _{S of} equation (27) can be calculated. If heavy constraints that need to be strictly observed are incorporated in the evaluation function, a cast plan that violates the heavy constraints may be drafted depending on the value of the evaluation weight. Is essential, instead of incorporating the heavy constraint into the evaluation function (equivalent to not adding the heavy constraint evaluation value J _H when calculating the evaluation value J _{S in} equation (27)), when calculating the neighborhood solution It is also possible to make a cast plan that always obeys the heavy constraint by prohibiting the exchange of charge groups that violate the heavy constraint. Here, among the casting constraints 1 to 3, it is necessary to consider at least one casting constraint related to product quality in the second optimization calculation unit 1301 as described above. If necessary, either or both may be added to the equation (27) as an evaluation index. Further, an evaluation index relating to the manufacturing cost may be added to the equation (27). Similarly to the first optimization calculation unit 210, the evaluation function of the expression (23) requires at least the expressions (16), (19), and (21), but the expression (18) And (20) can be omitted. Moreover, you may add evaluation indexes other than (16) Formula-(21) Formula to (23) Formula.

  Next, the second optimization calculation unit 1301 creates a neighborhood solution obtained by correcting a part of the current solution, and calculates the evaluation value (step S1502). There are various methods for creating a neighborhood solution, and one example is shown in FIG. As shown in FIG. 16, it is only necessary to select two charge groups from the current solution by random numbers, order, etc., and exchange (swap) the two to create a neighborhood solution. The two charge groups may be selected from different casts as shown in FIG. 16 (a), or may be selected from the same charge as shown in FIG. 16 (b) (however, the two charge groups cannot overlap). ). In addition, FIG. 16 shows a case where there is one continuous casting machine, but when there are a plurality of continuous casting machines, two charge groups may be selected from different continuous casting machines and replaced. In FIG. 16, only the charge groups having the same number of charges are exchanged, but charge groups having different numbers of charges may be exchanged.

  The second optimization calculation unit 1301 generates a neighborhood solution by such a method and calculates the evaluation value. It is determined from the magnitude relationship between the evaluation value of the neighborhood solution and the evaluation value of the current solution whether or not the neighborhood solution is accepted (step S1503). In the case of local search (mountain climbing method), it is accepted only when the evaluation value of the neighborhood solution is better than that of the current solution, but the simulated annealing method (SA method) etc. Even if the evaluation value of is worse than that of the current solution, it is accepted with a certain probability. Also in this embodiment, the constraint equation described in the first embodiment is used. When the neighborhood solution does not satisfy these constraint equations, the neighborhood solution is not accepted regardless of the evaluation value of the neighborhood solution.

  If the neighborhood solution is not accepted, the process proceeds to convergence determination (step S1506). On the other hand, when accepting the neighborhood solution, the second optimization calculation unit 1301 sets the neighborhood solution as the current solution (step S1504), and if the evaluation value of the neighborhood solution is better than that of the optimum solution, the neighborhood solution Is the optimal solution (step S1505).

  The search method cannot determine whether a true optimal solution has been obtained. For this reason, the second optimization calculation unit 1301 performs convergence determination according to a predetermined rule, and stops the search when determining that it has converged (step S1506). As a rule for determining the convergence, whether a predetermined number of iterations has been calculated, whether a predetermined time has been calculated, whether the optimal solution has not been updated more than a predetermined number of times, etc. is used. . If it is determined that the current solution has not converged, the process returns to step S1502 and the search for the optimal solution is repeated. When it is determined that the current solution has converged, the second optimization calculation unit 1301 outputs the optimum solution obtained so far as a steel production plan (cast plan) (step S1507).

In this way, a steel production plan (cast plan) in consideration of detailed casting restrictions can be obtained.
Note that details of the above-described optimal solution search method are described in Patent Document 1, and thus detailed description thereof is omitted here.

(Other embodiments)
The embodiment of the present invention described above can be realized by a computer executing a program. Further, a computer-readable recording medium in which the program is recorded and a computer program product such as the program can also be applied as an embodiment of the present invention. As the recording medium, for example, a flexible disk, a hard disk, an optical disk, a magneto-optical disk, a CD-ROM, a magnetic tape, a nonvolatile memory card, a ROM, or the like can be used.
In addition, the embodiments of the present invention described above are merely examples of implementation in carrying out the present invention, and the technical scope of the present invention should not be construed as being limited thereto. Is. That is, the present invention can be implemented in various forms without departing from the technical idea or the main features thereof.

(Relationship with claims)
Below, the relationship between a claim and embodiment is shown. The present invention is not limited to the following relationship.
The order database storage means is realized by using the order DB 201, for example.
The manufacturing method determining means is realized by using the manufacturing method determining unit 205, for example.
The first manufacturing method corresponds to, for example, hot piece rolling (HCR), the second manufacturing method corresponds to, for example, cold piece rolling (CCR yard), and the third manufacturing method includes, for example, cold piece. Corresponds to rolling (CCR appropriation).
The order matrix creating means is realized by using the first order matrix creating unit 203 and the second order matrix creating unit 206, for example.
The production type model storage means is realized by using, for example, the production type model DB 208.
The steel output frame / rolled frame setting means is realized by using, for example, a steel output frame / rolled frame setting unit 207.
The first steel output frame corresponds to, for example, steel output frames 811a to 811e for hot strip rolling (HCR), and the second steel output frame is, for example, a steel output frame for cold strip rolling (CCR yard). Corresponding to 812, the rolling frame corresponds to, for example, rolling frames 822a and 822b for cold strip rolling (CCR application).
The optimization calculation means is realized by using the optimization calculation unit 210, for example. The evaluation value relating to the leveling of the load in each step of the refining process can be obtained by using, for example, equation (19). The evaluation value relating to the difference between the steel delivery deadline date and the steel delivery date and the difference between the rolling deadline date and the rolling date can be obtained by using, for example, the equation (16). The evaluation value related to the size of the steel output lot is obtained by using, for example, the equation (21). The steel output restriction is obtained by using, for example, the expression (1).
The steelmaking rolling plan creation means is realized by using the steelmaking rolling plan creation unit 211, for example.
The surplus material weight storage means is realized by using, for example, the slab surplus material DB 202.
The second optimization calculation means is realized by using, for example, the second optimization calculation unit 1301.

  200: 1300: Steelmaking rolling planning apparatus, 201: Order DB, 202: Slab surplus material DB, 203: First order matrix creation unit, 204: Manufacturing method determination logic DB, 205: Manufacturing method determination unit, 206: No. 2, order matrix creation unit, 207: outgoing steel frame / rolling frame setting unit, 208: production model DB, 209: planning policy setting unit, 210: optimization calculation unit (first optimization calculation unit), 211: Steelmaking rolling plan creation unit (initial steelmaking rolling plan creation unit), 212: steelmaking rolling plan display unit, 213: steelmaking rolling plan registration unit, 1301: second optimization calculation unit

Claims (9)

A steelmaking rolling plan drafting device for drafting a steelmaking process and a steelmaking rolling plan which is a production plan in the rolling process,
An order database storage for storing order information including at least the weight, the steel grade, the date of steel production deadline or rolling deadline, and the finishing method of the finishing process performed after the rolling process for a plurality of orders Means,
For each of the steel types included in the order information, a first manufacturing method of supplying molten steel to the steelmaking process and supplying the steel material that has undergone the steelmaking process as a hot piece to the rolling process, and supplying molten steel to the steelmaking process Any one of the second manufacturing method for supplying the steel material that has undergone the steelmaking process as a cold piece to the rolling process and the third manufacturing method for supplying the steel material that has already undergone the steelmaking process to the rolling process. A manufacturing method determining means for determining;
The steel type of the order information, the manufacturing method, and the refining processing method aggregate the same orders as one production type, and the production type matches the steel extraction deadline date or the rolling deadline date. Order matrix creating means for creating an order matrix in which orders are aggregated by weight as the same order group;
Production type model storage means for storing a production type model that is the probability of occurrence of processing in each step of the refining process for each of the production types;
A frame to which an order of steel products manufactured by the first manufacturing method is assigned, wherein at least one first steel output frame in which a steel output amount and a steel output timing in the steel making process are determined; 2 is a frame to which an order of steel products manufactured by the manufacturing method of 2 is assigned, wherein at least one second steel output frame in which a steel output amount and a steel output timing in the steel making process are determined, and the third An output steel frame / rolling frame setting means for setting at least one rolling frame in which a rolling amount and a rolling timing in the rolling process are set, wherein the order of the steel material manufactured by the manufacturing method is assigned;
Using the order matrix, the production type model, the first outgoing steel frame, the second outgoing steel frame, and the rolling frame, at least regarding leveling the load of each step of the refining process An evaluation function represented by using an evaluation value, an evaluation value relating to a difference between the steelmaking deadline date and the steelmaking date, a difference between the rolling deadline date and the rolling date, and an evaluation value relating to the size of the steelmaking lot Is the minimum or maximum within the range that satisfies the constraints including the steel output amount constraint that the steel output amount is below the upper limit of the steel output capacity, and is the amount of steel output and the rolling amount according to the production type by day. An optimization calculation means for calculating the allocation frame for each product type using a mathematical optimization method;
A steelmaking rolling plan creation means for creating a steelmaking plan and a rolling plan based on the production type allocation frame calculated by the optimization calculation means,
The optimization calculation means calculates, for the production type in the steel material produced by the first production method, the amount of steel output by the production type by day as the allocation frame by production type, As for the production varieties in the steel materials produced by the production method of No. 2, assuming that no load is generated in each step of the refining process, the amount of steel output according to the production varieties by day is allocated to the production varieties. Calculated as a frame, for the production type in the steel material produced by the third production method, calculate the rolling amount by the production type by day as the production type allocation frame,
The steelmaking rolling plan creating means assigns an order of steel products manufactured by the first manufacturing method to the first steel output frame based on the amount of steel output by the production type by day. The steel production plan is created by assigning an order of steel products produced by the second production method to the second steel production frame, and based on the rolling amount by the production type by day, A steelmaking rolling plan planning apparatus, wherein the rolling plan is created by assigning an order for a steel material manufactured by a third manufacturing method to the rolling frame. The output steel frame / rolled frame setting means designates the steel type for at least one of the second output steel frame and at least one of the rolled frame,
The optimization calculating means calculates, based on the second steelmaking frame in which the steel type is designated, the daily steel output amount of the production type including the steel type as the production type-specific allocation frame. And, based on the rolling frame in which the steel type is specified, calculating at least one of the daily steel output amounts of the production varieties including the steel type as the appropriation frame by production varieties. And
The steelmaking rolling plan creation means assigns only the order of the steel grade to the second steel output frame for which the steel grade is designated, and only orders for the steel grade are assigned to the rolling frame for which the steel grade is designated. The steelmaking rolling plan planning device according to claim 1, wherein: It further has a surplus material weight storage means for storing the weight of each of the steel types, which stores the weight of a surplus material that is a steel material that has not been supplied to the rolling process and has been placed in the yard after the steelmaking process. And
The order information further includes information on whether or not hot strip rolling is possible to indicate whether the steel material that has undergone the steelmaking process can be supplied to the rolling process as a hot piece,
3. The steelmaking rolling plan planning apparatus according to claim 1, wherein the manufacturing method determining means determines the manufacturing method using a weight of the surplus material and information on whether or not the hot piece rolling is possible. The order information further includes a passing process pattern representing the refining processing method as information indicating a likelihood that the order will be processed in each step of the refining process,
The order matrix creation means aggregates orders with the same steel grade, the production method, and the passing process pattern as the same production type, according to any one of claims 1 to 3. Steelmaking rolling planning device. The order matrix creating means creates a first order matrix creating means for creating, as a first order matrix, the weight of the order according to the steel delivery deadline date or the rolling deadline date of the steel type based on the order information. When,
Based on the first order matrix, the manufacturing method determined by the manufacturing method determining means, and the passing process pattern, the steel delivery deadline by the passing process pattern by the manufacturing method of the steel type And a second order matrix creating means for creating a weight of the order by date or the rolling due date as a second order matrix, wherein the second order matrix is the order matrix. A steelmaking rolling planning apparatus according to claim 4.   At least an evaluation value relating to leveling of the load of each step of the refining process, an evaluation value relating to a difference between the steel extraction deadline date and the steel output date, and a difference between the rolling deadline date and the rolling date, and a steel output lot The evaluation function expressed using the evaluation value related to the size of the steel sheet and the number of violations of product quality constraints in at least one of the steelmaking process and the rolling process is such that the amount of steel output is less than or equal to the upper limit value of the steel output capacity. Using at least one of the steelmaking plan and the rolling plan created by the steelmaking rolling plan creation means as an initial value so as to be the minimum or maximum within a range that satisfies the constraint conditions including the steel production amount constraint of 2. The method according to claim 1, further comprising second optimization calculation means for calculating at least one of the steel production plan and the rolling plan by a search method. Steelmaking rolling planning apparatus according to any one of 5.   Of the constraints related to product quality in at least one of the steelmaking process and the rolling process, a constraint that must be observed is added to the constraint condition instead of adding the number of violations to the evaluation function. A steelmaking rolling planning apparatus according to claim 6. A steelmaking rolling plan planning method for drafting a steelmaking process and a steelmaking rolling plan that is a manufacturing plan in the rolling process,
An order database storage for storing order information including at least the weight, the steel grade, the date of steel production deadline or rolling deadline, and the finishing method of the finishing process performed after the rolling process for a plurality of orders Process,
For each of the steel types included in the order information, a first manufacturing method of supplying molten steel to the steelmaking process and supplying the steel material that has undergone the steelmaking process as a hot piece to the rolling process, and supplying molten steel to the steelmaking process Any one of the second manufacturing method for supplying the steel material that has undergone the steelmaking process as a cold piece to the rolling process and the third manufacturing method for supplying the steel material that has already undergone the steelmaking process to the rolling process. A manufacturing method determining step to determine;
The steel type of the order information, the manufacturing method, and the refining processing method aggregate the same orders as one production type, and the production type matches the steel extraction deadline date or the rolling deadline date. An order matrix creation process for creating an order matrix in which orders are aggregated by weight as the same order group,
For each of the manufactured varieties, a manufacturing varieties model storing step for storing a manufacturing varieties model that is the probability of occurrence of processing in each step of the refining process;
A frame to which an order of steel products manufactured by the first manufacturing method is assigned, wherein at least one first steel output frame in which a steel output amount and a steel output timing in the steel making process are determined; 2 is a frame to which an order of steel products manufactured by the manufacturing method of 2 is assigned, wherein at least one second steel output frame in which a steel output amount and a steel output timing in the steel making process are determined, and the third An output steel frame / rolling frame setting step for setting an order of steel products manufactured by the manufacturing method and setting at least one rolling frame in which a rolling amount and a rolling timing are determined in the rolling process;
Using the order matrix, the production type model, the first outgoing steel frame, the second outgoing steel frame, and the rolling frame, at least regarding leveling the load of each step of the refining process An evaluation function represented by using an evaluation value, an evaluation value relating to a difference between the steelmaking deadline date and the steelmaking date, a difference between the rolling deadline date and the rolling date, and an evaluation value relating to the size of the steelmaking lot Is the minimum or maximum within the range that satisfies the constraints including the steel output amount constraint that the steel output amount is below the upper limit of the steel output capacity, and is the amount of steel output and the rolling amount according to the production type by day. An optimization calculation process for calculating the allocation frame for each production type using a mathematical optimization method;
A steelmaking rolling plan creation step of creating a steelmaking plan and a rolling plan based on the production type allocation frame calculated in the optimization calculation step;
In the optimization calculation step, for the production type in the steel material produced by the first production method, the amount of steel output by the production type for each day is calculated as the appropriation frame by production type, As for the production varieties in the steel materials produced by the production method of No. 2, assuming that no load is generated in each step of the refining process, the amount of steel output according to the production varieties by day is allocated to the production varieties. Calculated as a frame, for the production type in the steel material produced by the third production method, calculate the rolling amount by the production type by day as the production type allocation frame,
The steelmaking rolling plan creation step assigns an order of steel materials manufactured by the first manufacturing method to the first steel output frame based on the amount of steel output by the production type by day. The steel production plan is created by assigning an order of steel products produced by the second production method to the second steel production frame, and based on the rolling amount by the production type by day, A steelmaking rolling plan planning method, wherein the rolling plan is created by assigning an order for a steel material manufactured by a third manufacturing method to the rolling frame.   A program that functions as a computer as each means of the steelmaking rolling plan planning device according to any one of claims 1 to 7.

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