JP2006178756A - Production/physical distribution planning device and method, process control device and method, and computer program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To flexibly minutely optimize physical distribution control or a production/physical distribution plan requiring arbitrary time accuracy along an intention of a planner at high speed or with desired accuracy, in a process for processing a plurality of products in a plurality of different processes, and allowing each the product to select a plurality of different process paths. <P>SOLUTION: Time accuracy of a numerical formula model, an instruction calculation period, a simulation period, and a plan decision period can be arbitrarily set, when creating the production/physical distribution plan from a simulation result obtained by repeating a process for preparing the production/physical distribution plan by calculating a physical distribution instruction about an amount of a target period set in a prescribed partitioned range from a preparation start date by optimization calculation processing and imparting it to a simulator, deciding a result obtained by executing simulation by the amount of the previously selected target period as the production/physical distribution plan, and setting a date just after the decided period as a new planning start date. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a production / distribution plan creation apparatus and method suitable for use in a transport process or the like that transports a plurality of products through a plurality of different transport paths and can select different transport paths for each product, and a process control apparatus. And a method and a computer program.

  2. Description of the Related Art Conventionally, in manufacturing processes and transportation in many industries including steel, a plurality of products are processed in a plurality of different processes, and each product is manufactured and transported under a condition that a plurality of different process paths can be selected. For example, in the ironmaking raw material transfer process from the yard to the storage tank at a steelworks, multiple brands were stacked for multiple tanks with different brands entered and discharged at different cutting speeds. Select a mountain that matches the brand in the tank from multiple yards (a pile of iron ore piled in the yard), select an appropriate reclaimer from the available reclaimers, The reclaimer cuts out from the mountain, and the iron ore that has been cut out is selected from the belt conveyor series that can be transported, and is transported to the storage tank. Enter the appropriate tank volume until the end time. In this case, a plurality of brands are stacked in a plurality of yards, and the same brand may be stacked in a plurality of mountains.

  When planning the production of steelmaking raw materials from yard to storage tank, take into account the operational restrictions of the yard, reclaimer, belt conveyor series, storage tank, and restrictions due to the raw material logistics process. It is necessary to put in. That is, in the raw material factory, the outage of the storage tank should be kept to a minimum or should not occur in order to stabilize the operation of the blast furnace operation and the sintering factory. To this end, it is necessary to constantly monitor the inventory changes of many mining tanks and to be always careful.

  In addition, when the stock level of the storage tank falls below a certain level, the coarse iron ore that has accumulated in the tank flows out at once, causing the iron ore to become unstable in grain size and falling when entering the sintered ore. There is a possibility that pulverization may occur because the distance becomes large. In order to prevent these, the storage tank inventory is required to be highly stable.

  Furthermore, not only the process route is different for each brand entering the storage tank, but there are multiple process paths even when entering the same storage tank, so the use status of the equipment is judged and an appropriate process route is selected. There is a need to.

  Furthermore, it is necessary to take into consideration that the processing time in each process and each equipment is different.

  Under such various restrictions, if one reclaimer is used from one mountain, it is transported by one belt conveyor system, and it enters into one storage tank, the storage tank is simply If the inventory level is low, iron ore can be transported from the mountain to the storage tank at that time.

  However, as described above, multiple brands are stacked in multiple yards, and multiple brands are stacked in different mountains. In order to improve the quality, it is necessary to make a raw material yard operation plan for which storage tanks should be used in what order and which reclaimer and belt conveyor system will be used, and from when to when the tanks will be installed. In order to stabilize the operation of the sinter plant, it is possible to secure inventory, stabilize the iron ore particle size, and prevent the sinter ore from being pulverized.

  In general, in a manufacturing process in which a plurality of products are processed and manufactured in a plurality of different processes, production / distribution planning in the process or automation of distribution control is desired. Conventionally, as a technique for this automation, a discrete event simulator or the like by various methods has been proposed. For example, as disclosed in “Production Plan Evaluation Method and System” of Patent Document 1, on a simulator simulating a factory built on a computer, information obtained from the same interface as the actual device is used. By predicting the operation of the product, performing virtual production at a faster speed than the actual equipment based on the operation prediction, and presenting a highly accurate index using the virtual production process and results, the production plan It is a technique that enables evaluation and selection.

JP 2002-366219 A

  As disclosed in “Production Plan Evaluation Method and System” described in Patent Document 1 above, the method of creating a production / distribution schedule using a conventional discrete event simulator requires a satisfactory result. (1) It was necessary to perform simulation while changing the conditions in various ways, and repeatedly evaluate the results. Therefore, (2) a large-scale factory has a problem that it takes a lot of time to create a production / distribution schedule. In addition, (3) in order to obtain a highly accurate production / distribution schedule, there is a problem that the simulation rules must be set in detail.

  Conventionally, simulators using various methods have been proposed as techniques for production / distribution plan creation or automation of distribution control.

  However, as in the above operation example, there are many limitations, and a method that is particularly suitable for executing an operation plan or distribution control for selecting an appropriate process route while keeping the constraints has not been proposed. It was. In particular, in order to withstand use in actual operations, production / distribution planning or distribution control that can be flexibly optimized in accordance with the planner's intention at high speed or with the accuracy required by the planner is required. However, a method particularly suitable for the above request has not been proposed.

  Therefore, the present invention is a production / distribution process in which a plurality of products are processed in a plurality of different processes, and each product can select a plurality of different process paths (even if different facilities are used in the same process). The purpose is to be able to flexibly optimize production / distribution planning or distribution control that requires arbitrary time accuracy at high speed or in detail with the accuracy required by the planner, in accordance with the planner's intention. .

The production / distribution plan creation apparatus, method, and computer program according to the present invention process a plurality of products in different multi-process paths, and each product can select different multi-process paths in a production / distribution process. In order to create a model, the logistics flow and logistics constraints of the production / logistics process are modeled, and the simulator detects the logistics status and logistics constraints when an event occurs, and the production / logistics planning start date and time And a mathematical model holding device for holding a mathematical model composed of the distribution state and physical distribution constraints of the production / distribution process, and a mathematical model holding device for the target period (plan creation period) set in advance. An evaluation function setting device for setting an evaluation function for evaluating the mathematical model and a mathematical model holding device. The optimization calculation device using the optimized calculation device that performs the optimization calculation processing using the calculated mathematical model and the evaluation function set by the evaluation function setting device and calculates the physical distribution instruction for the simulator By the optimization calculation processing by the calculation, the distribution instruction is calculated for the target period (instruction calculation period) set within a predetermined range from the planning start date and time, and is given to the simulator, and the target period (simulation selected in advance) (Simultaneous period) is performed, the simulation result is confirmed as a production / distribution plan for a preset period (plan finalization period), and the date and time immediately after the determined period is set as a new planning start date and time. From the simulation results obtained by repeating the process of creating a production / distribution plan, A production / distribution plan in a flow process, characterized in that all or any of the time accuracy of the mathematical model, the instruction calculation period, the simulation period, and the plan determination period can be arbitrarily set. Have
The process control apparatus, method, and computer program according to the present invention are for controlling a production / distribution process in which a plurality of products are processed by different multi-step paths and each product can select different multi-step paths. In the above, a model that represents the logistics flow and logistics constraints of the production / logistics process as described above, a simulator that detects the logistics status and logistics constraints when an event occurs, and a target that is set in advance from the start date of planning the production / logistics plan For the period (plan creation period), a mathematical model holding device that holds a mathematical model composed of the distribution state and physical distribution constraints of the production / distribution process, and a mathematical model held by the mathematical model holding device are evaluated. An evaluation function setting device for setting an evaluation function for the above, a mathematical model held by the mathematical model holding device, An optimization calculation process is performed using the evaluation function set by the evaluation function setting apparatus, and an optimization calculation process is performed by the optimization calculation apparatus. The distribution instruction is calculated for the target period (instruction calculation period) set within a predetermined range from the planning start date and given to the simulator, and the simulation is performed for the target period (simulation period) selected in advance. Execute and finalize the simulation result as a production / distribution plan for a preset period (plan finalization period), and set the date and time immediately after the determined period as the new planning start date and time to plan the production / distribution plan The production / distribution process is controlled based on the simulation results obtained by repeating the process Be one that has time accuracy of the mathematical model, the instruction calculation period, the simulation period, characterized in that the arbitrarily set all or any of the above plan definite period.

  According to the present invention, in a process that can process a plurality of products in a plurality of different processes, and that each product can select a different multi-process path (considering a different process path even when using different equipment in the same process), It is possible to flexibly optimize production / distribution planning or distribution control requiring an arbitrary time accuracy at high speed or in detail with accuracy required by the planner, in accordance with the planner's intention.

  Hereinafter, a production / distribution plan creation apparatus and method, a process control apparatus and method, and a computer program according to the present invention will be described with reference to the drawings. First, the basic configuration of the production / distribution plan creation apparatus of this embodiment will be described with reference to FIG.

  FIG. 9 is a block diagram illustrating an example of the overall configuration of a production / distribution plan creation apparatus to which the present invention is applied. As shown in FIG. 9, the production / distribution plan creation apparatus 300 of this embodiment includes a discrete event system simulator 310, a mathematical model holding apparatus 320, an optimization calculation apparatus 330, an evaluation function setting apparatus 340, and the like. .

  The discrete event simulator 310 is a large discrete event simulator that simulates a factory or the like, and is configured as a discrete event system that moves an object for each event (an event of the discrete event simulator). In the present embodiment, the discrete event simulator 310 is configured using a Petri net, and a mathematical model 321 is output.

  Further, a physical distribution model (mathematical model) 321 is configured in correspondence with the discrete event system simulator 310. In this embodiment, product acceptance plan, product shipment plan, inventory plan, equipment use plan, equipment repair plan, equipment capacity, process status, equipment status, inventory status, equipment operation / failure status, and operation in manufacturing process / conveyance Based on the input data representing all or part of the operational preconditions from the operator, the target period (instruction calculation period) for the target period (instruction calculation period) set in advance from the planning start date and time of the production / distribution plan Based on this, the mathematical formula model 321 is constructed for the relations and constraints of work groups associated with processing of products, moving objects, and facilities.

  The mathematical model 321 is held by a mathematical model holding device 320 configured by semiconductor storage means or the like. Then, optimization calculation is performed by the mathematical model 321 and the optimization calculation device 330, and a physical distribution instruction for the discrete event simulator 310 is calculated. The optimization calculation performed by the optimization calculation device 330 is performed using the evaluation function S.

  Therefore, according to the production / distribution plan creation apparatus of the present embodiment, the distribution instruction is not performed based on a predetermined rule as in the past, but the optimal calculation performed by the optimization calculation apparatus 330 is performed. A physical distribution instruction based on the result can be output to the discrete event simulator 310. As a result, it is possible to reliably issue an optimum physical distribution instruction according to the event at that time.

  In addition, when a new event occurs, a calculation instruction is output from the discrete event system simulator 310 so that the mathematical model 321 and the optimization calculation device 330 perform calculations. When the calculation instruction is given from the discrete event simulator 310, the optimization calculation device 330 executes optimization calculation using the mathematical model 321 and the evaluation function S. As described above, an optimal production / distribution schedule can be created by executing a detailed simulation in which the discrete event simulator 310 and the optimization calculation device 330 are linked for each event once.

  That is, the simulation performed in the present embodiment is not based on a predetermined rule as in the prior art, but is performed based on the result of the optimal calculation, so only one simulation is performed. It is possible to reliably obtain a theoretically optimal solution, and it is not necessary to repeatedly evaluate the simulation result by evaluating the simulation result as in the past, and the simulation result 350 can be generated quickly and with high accuracy. it can. Therefore, even if the schedule is created on a large scale, it can be sufficiently created within a practical time. The simulation result 350 obtained as described above is output as a schedule.

  In addition, even if the scale of the discrete event simulator 310 is very large, or the constraint conditions are very large and complicated, it affects the schedule creation among the distribution states and mathematical formulas described in the discrete event simulator 310. By taking only the important part having a large value into the mathematical model 321, the scale of the discrete event simulator 310 can be set within an appropriate range, and the optimization calculation can be performed within a practical time. it can.

  Since the discrete event system simulator 310 can describe all the physical distribution states and physical distribution constraints to be considered, it is guaranteed that the schedule created by performing one simulation can be actually executed.

  As described above, in this embodiment, the physical distribution schedule is created by linking the discrete event simulator 310, the mathematical model 321 and the optimization calculator 330, so (1) repeating the simulation. You can create a schedule without. In addition, (2) it is possible to reduce the calculation time by incorporating only important parts that have a large influence on schedule creation into the mathematical model 321 and (3) it is possible to solve large-scale problems. .

  Further, every time an event requiring a distribution instruction occurs, the distribution state and distribution constraint information of the discrete event simulator 310 is detected, and the optimization calculation is performed based on the detected information and a predetermined evaluation index. The apparatus 330 calculates an optimal logistics instruction by an optimization method and creates a schedule by performing a detailed simulation by the discrete event system simulator 310 based on the calculation result, so that (4) the schedule accuracy can be increased. (5) It is possible to create a schedule whose feasibility is verified.

  In addition, since the mathematical model 321 is introduced, it is possible to quickly cope with a change in an important part that has a large influence on schedule creation, and a schedule creation device with high maintainability can be constructed.

  Then, the mathematical model 321 is created by taking in the information related to creating the schedule of the physical distribution of interest for the period (plan creation period) set in advance from the planning start time of the production / distribution process. Then, the created mathematical model 321 is given to the optimization calculation device 330, and a logistics instruction is calculated for a period (instruction calculation period) preset from the present time by the optimization calculation processing by the optimization calculation device. This is given to the discrete event simulator 310, and the simulation is executed for a preset period (simulation period), and the distribution plan is determined for a preset period (plan determination period).

  Next, the production / distribution schedule in the production / distribution process is obtained from the simulation result 350 obtained by repeating the process of setting the date and time immediately after the determined period as the new planning start date and time and planning the distribution plan. I try to create it.

(First embodiment)
Hereinafter, a first embodiment of the present invention will be described with reference to the drawings. In this embodiment, as an example of a production / distribution process that can process multiple products with different multiple process paths and select different multiple process paths for each product, the transfer path from the raw material yard to multiple raw material storage tanks is selected. A case where a production / distribution plan is created will be described using examples of possible cases. In this embodiment, the inventory is secured to stabilize the operation of the blast furnace / sinter factory under raw material logistics constraints such as yard loading brands, yard inventory change, iron ore / sinter cutout amount, equipment layout, etc. , Which deals with the optimization problem of the raw material yard entrance tank plan that stabilizes the iron ore particle size and prevents the sinter ore from being pulverized, stabilizes the stock level at a high level and reduces the work load, and realizes efficient use of equipment And However, this is merely an example, and the production / distribution plan creation apparatus of the present invention processes a plurality of products in a plurality of different processes, and each product has a plurality of different process paths (equipment different in the same process). In a production / logistics process that can be selected as a different process route), it is possible to flexibly implement it at high speed or in detail with the accuracy required by the planner, in accordance with the planner's intention, while keeping many restrictions. It can be applied when creating an operation plan for a target process that can withstand use in operation, and is particularly effective.

  In the operation plan here, first of all, we secure the stock to stabilize the operation of the blast furnace and sintering plant (prevention of out of stock), stabilize the iron ore particle size, and prevent the sinter ore from being pulverized Therefore, the purpose is to realize the high level of inventory level and the efficient use of equipment to reduce the work load.

  In addition, since the amount of cut out differs for each raw material storage tank, and the tank entry conditions, for example, the stock level of the corresponding raw material storage tank, etc. differ at the time of starting the tank entry, the amount of tanks to be filled should be changed depending on the situation. It is necessary to decide so that the level becomes high stability.

  In addition, as shown in FIG. 1 which is a schematic diagram of a raw material yard manufacturing process (conveyance) which is an object of the present invention, a plurality of reclaimers and a belt contour series are used for conveyance to a raw material storage tank to be entered. Can be selected, has different cutting ability depending on the reclaimer, and there are few reclaimers compared to many raw material storage tanks. It is necessary to properly select the belt conveyor system and operate it for an appropriate time.

  Under such constraints, when securing the stock of all raw material storage tanks and creating a raw material yard operation plan with a high inventory level, the order of tank entry, tank start and end times, tank volume, It is necessary to accurately determine not only the reclaimer operation start time and reclaimer operation end time, but also the discharged raw material mountain, the yard, the used reclaimer, the conveyor belt conveyor series, and the incoming raw material storage tank. In this case, it is necessary to have both high speed and accuracy that can withstand use in actual operation.

  FIG. 2 is a diagram showing the relationship between the configuration of the production / distribution plan creation apparatus according to the present embodiment and other systems. FIG. 3 is a diagram showing a detailed configuration of the berthing plan creation unit of the production / distribution plan creation device according to the present embodiment. FIG. 4 is a flowchart showing the detailed processing in the entrance plan creation unit of the production / distribution plan creation apparatus according to the present embodiment.

  As shown in FIG. 2, when creating the raw material yard tank plan, first, in the condition setting and taking-in unit 20, the constraint conditions such as the yard layout and the raw material storage tank cut-out amount necessary for formulating the plan, The operator sets capacity conditions and preconditions, or imports them from a professional computer or a vidicon.

  The tank entry plan creation unit 21 of the present embodiment has a raw material yard entry plan so as to satisfy these distribution restrictions, capacity conditions, etc., under various distribution restrictions set by the condition setting and taking-in part 20, that is, Obtain the order of tank entry, tank entry start / end time, start / end time of reclaimer, discharge raw material mountain / yard, used reclaimer, conveyor belt conveyor line, and tank input material storage tank.

  As will be described in detail below, this tank plan creation unit 21 uses mathematical programming such as LP (Linear Programming), MIP (Mixed Integer Programming), QP (Secondary Programming) or tab search, genetic algorithm From the combination of metaheuristic methods such as the above and mathematical programming, the processing order, processing time, raw material equipment to be used, and transport route are optimized from the raw material yard to the raw material storage tank.

  Raw material yard incoming plan obtained by the incoming tank plan preparation unit 21 (incoming tank order, incoming / outgoing time, incoming / outgoing time and reclaimer operation start / end time, discharged raw material mountain / yard, used reclaimer, conveyor belt conveyor system, Information on the incoming tank raw material storage tank) is given to the display unit 22 and displayed in a form such as a Gantt chart format, raw material storage tank inventory transition graph format, or an incoming tank time list.

  The operator evaluation section 23 evaluates the obtained tank entry plan from various viewpoints (for example, inventory transition, continuous issue of the same brand in the reclaimer, etc.). Correct the order of tank entry, start / end time of tank entry, dumped material pile, reclaimer used, etc. At this time, if necessary, the weight of the evaluation function is changed, the instruction calculation period for constructing the mathematical model, the simulation period, the confirmation period is changed, or only the processing entered by the operator is set to the time of entry. It is equipped with means that can specify and fix the raw material pile to be fixed or dispensed and the reclaimer to be used according to the will of the operator. Then, the tank entry plan creation unit 21 creates the tank entry plan again.

Next, the structure of the said tub plan preparation part 21 and the detail of the process performed by the basin plan preparation part 21 are demonstrated.
The tank entry plan creation unit 21 calculates the tank inventory transition of each raw material storage tank from the stock quantity and raw material discharge speed of each raw material storage tank under the setting conditions such as yard layout, process route, tank entry brand, and distribution restrictions. Then, the raw material storage tank in which the stock quantity falls below the predetermined supply level by the end time of the target period is extracted.

  In order to avoid the stock out of stock of raw material storage tanks, to stabilize the stock level of raw material storage tanks and to reduce the work load, the order of tank entry, the start and end times of tank entry to optimize the predetermined evaluation function set for efficient equipment use The amount of incoming tank, the reclaimer operation start time, the reclaimer operation end time, as well as the discharge raw material mountain, the yard, the used reclaimer, the conveyor belt conveyor series, and the incoming tank raw material storage tank are determined. This process is performed to update the time of the target period to obtain a tank entry plan for a desired period.

  The details of the processing of the tank entry plan creation unit 21 described above, a diagram showing the detailed configuration of the tank entry plan creation unit 21 (FIG. 3), a flowchart showing the detailed processing contents of the tank entry plan creation unit 21 (FIG. 4) A simple diagram (FIG. 5) in which the scale of the raw material yard manufacturing process (conveyance) used for explaining the outline of the process is reduced, and the inside of the tank entry planning unit 21 when this example is used. This will be described in detail with reference to FIGS. 6 to 10 showing details of the operation.

  In the example of FIG. 5, there are raw material piles loaded with iron ore brands A, B, and C in the first yard, and brand B is loaded in the second yard. The reclaimer No. 1 can be used to pay out the raw material pile in the first yard, and the reclaimer No. 2 can be used to pay out the raw material pile in the second yard. When the reclaimer No. 1 is used, the iron ore is conveyed by any one of the first belt conveyor series, the second belt conveyor series, the third belt conveyor series, and the fifth belt conveyor series. On the other hand, when the reclaimer No. 2 is used, the iron ore is conveyed by either the fourth belt conveyor series or the sixth belt conveyor series. The iron ore transported by the first belt conveyor series is transferred to the raw material storage tank 1, the iron ore transported by the second belt conveyor series or the fourth belt conveyor series is transferred to the raw material storage tank 2, and the third belt conveyor. The iron ore conveyed in the series is conveyed to the raw material storage tank 3, and the iron ore conveyed in the fifth belt conveyor series or the sixth belt conveyor series is conveyed to the raw material storage tank 4, respectively. Brand A must be placed in the raw material storage tank 1, brand B in the raw material storage tank 2, brand C in the raw material storage tank 3, and brand B in the raw material storage tank 4. Here, the brand to be paid out from the yard and the brand to be placed in the raw material storage tank must be the same brand.

Next, details of the processing operation of the tank entry plan creation unit 21 will be described.
(1) Capture input data, set initial values and conditions (data capture unit 301 in FIG. 3, step S401 in FIG. 4). Specifically, information required for this treatment (raw material acceptance plan, raw material yard plan, equipment repair plan, raw material yard status, tank inventory status, tank cut-out status, equipment operation / failure status, and information from operators All or part of the operational prerequisites are read online and the operator modifies them as necessary.

  (2) A plan creation period is set (plan creation period setting unit 302 in FIG. 2, step S402 in FIG. 4). In this process, a period for creating a production / distribution plan is set. This plan creation period can be set to an arbitrary period as required by the planner. Here, as an example, 4 days are planned.

  (3) Production / distribution plan creation accuracy is set (plan creation accuracy setting unit 303 in FIG. 3, step S403 in FIG. 4). In this process, the accuracy of creating a production / distribution plan is set. This accuracy can be set to any accuracy as required by the planner. For example, by making the precision fine in the first half of the planning period that requires fine planning accuracy, and by making the precision coarse in the second half of the sufficient planning period, it is possible to achieve sufficient precision and efficient in a short time. Planning can be made. Here, as an example, in the mathematical model, the accuracy is set in units of one hour on the first day of the plan creation period, the accuracy is set in units of two hours on and after the second day, and the accuracy is made minute in the simulation part throughout the plan creation period. As a result, it is possible to create a production / logistics plan with the accuracy that can be applied as it is in actual operation by constructing a mathematical model that can be solved accurately in a short time and performing simulation with the accuracy required in actual operation. Become.

  (4) A production / distribution plan creation target period (instruction calculation period) is set (plan creation target period setting unit 304 in FIG. 3, step S404 in FIG. 4). In this process, a target period for creating a production / distribution plan is set. This target period can be set to an arbitrary target period as required by the planner. Here, as an example, the first day for constructing the mathematical model with fine accuracy is equivalent to one day, and the second and subsequent days for constructing the mathematical model with coarse accuracy are equivalent to two days, so that efficient in a short time. Planning can be made.

  (5) A production / distribution plan decision period is set (plan decision period setting unit 305 in FIG. 3, step S405 in FIG. 4). In this process, a period for finalizing the production / distribution plan is set. This fixed period can be set arbitrarily according to the planner's needs. For example, by shortening the fixed period in the first half of the planning period that requires fine planning accuracy, and increasing the final period in the second half of the sufficient planning period with a rough plan, sufficient accuracy and efficiency in a short time Planning becomes possible. Here, as an example, the first 8 hours of the created production / distribution plan is confirmed on the first day of the plan creation period, and the first one day of the production / distribution plan is confirmed on and after the second day. And Further, the period for executing the simulation (simulation period) and the fixed period can be set separately, but in the present embodiment, the simulation period is set to the fixed period and the synchronous period.

  (6) A product group to be manufactured or transported is detected (detecting unit 306 in FIG. 3, step S406 in FIG. 4). In this process, as shown in FIG. 6, from the stock amount and raw material discharge speed for each raw material storage tank, the tank stock transition for each raw material storage tank is calculated, and the raw material storage tank whose stock quantity falls below a predetermined supply level by the target period. Is extracted as a raw material storage tank to be replenished. Here, it is assumed that the replenishment level can be set individually for each raw material storage tank and can be changed in S201 as necessary. This supply level is set to about 70% as an appropriate value. In this example, the raw material storage tanks 1, 2, and 3 are extracted as the replenishment target tanks, and the raw material storage tank 4 is considered not to be replenished at the current time and is removed from the replenishment target tanks.

  (7) All selectable processes (conveying facilities) of each product (extraction storage tank) are extracted (extraction unit 307 in FIG. 3 and step S407 in FIG. 4). In this process, as shown in FIG. 7A, the transport path is searched for the extracted raw material storage tanks to be replenished, and all selectable transport paths of each storage tank are guided.

  The details of the extraction operation of all selectable transport paths for each storage tank will be described below. First, for transport route search that describes the distribution structure, yard / raw material placement, raw material storage stacking brand, reclaimer that can be used in the yard, belt conveyor series that can be used in the reclaimer, and belt conveyor series that can enter the raw material storage tank The information table 71 is fetched from the condition setting and fetching unit 20 in FIG. For example, taking the case of the raw material storage tank 2 as an example, with reference to FIG. 7B, the raw material storage tank 2 is searched from the starting point facility of the transport path search information table 71 in step S71 (STEP 1).

  Next, in step S72 (STEP 2), a brand that matches the brand B loaded in the raw material storage tank 2 is searched from the raw material mountain brand in the transport path search information table 71.

  Next, in step S73 (STEP 3), a set of yard and reclaimer (RR) corresponding to the searched raw material brand is searched. Here, it is understood that (yard 1, RR No. 1) and (yard 2, RR No. 2) can be used.

  Next, in step S74 (STEP 4), a usable belt conveyor series is searched from the place where the searched starting equipment line and the searched raw material brand name intersect. In this case, it is understood that the series 2 can be used when (yard 1, RR No. 1) is used, and the series 4 can be used when (yard 2, RR No. 2) is used.

  From the above, as the transport route to the raw material storage tank 2, the two transport routes of (yard 1, RR No. 1, series 2) and (yard 2, RR No. 2, series 4) are extracted.

  (8) Build all processes and transport paths (building unit 309 in FIG. 3, step S407 in FIG. 4). When the extraction of the conveyance path is completed for all the raw material storage tanks, the process proceeds to step S75 (STEP 5), and regarding the usable process and the conveyance path guided to all the raw material storage tanks to be replenished, Build an allocation pattern. In this example, for the raw material storage tank 1 (first yard, RR No. 1, first belt conveyor series), for the raw material storage tank 2 (first yard, RR No. 1, second Belt conveyor series), (second yard, RR No. 2, fourth belt conveyor series), and for raw material storage tank 3 (first yard, RR No. 1, third belt conveyor series) ) Is established.

  (9) Formulation is performed on the mathematical model (the mathematical model construction unit 309 in FIG. 3 and step S408 in FIG. 4). In this process, a formula model is formulated with a plan creation accuracy in which a set period, a target period set based on a set condition, a distribution constraint, and a distribution status is set for the constructed allocation pattern. Inter-process constraint model that describes the inter-process constraints of the reclaimer work, transfer work, and tank entry work that occurs from the start of the tank entry work to the end of the tank entry, and interference within the process. Constructed from modeled interference constraint model.

  Define variables to determine whether or not to use reclaimers, belt conveyors, and tanks to build an inter-process constraint model. Specifically, the following three variables are defined.

  Where t is the elapsed time from the planning start date and time, the plan creation accuracy is x hours, and the plan creation target period is y hours, t takes the values of 0, x, 2x ..., yx, Prepare y / x α variables for raw material storage bin and reclaimer RR. Similarly, β variables are prepared for each raw material storage bin and belt conveyor BC, and γ variables are prepared for each raw material storage tank.

In the case where the planning start date in the present embodiment is the first day, the plan creation accuracy is 1 hour and the target period is 1 day (24 hours), so the range that can be taken as the time t is as shown in the following (formula 1) Become.
t = 0,1,2,…, 23 …… (Formula 1)

Further, when the planning start date is the second day or later, the plan creation accuracy is 2 hours and the target period is 2 days (48 hours), so the range that can be taken as the time t is as follows (Formula 2).
t = 0,2,4, ..., 46 ...... (Formula 2)

  The following explanation will be given by taking the case where the planning start date is the first day as an example. In this case, the following variables are finally prepared from all the processes and the conveyance path construction.

  In the inter-process constraint model, a series of operations of reclaimer, conveyance, and tank entry need to be performed at the same time. The constraint in this case is expressed by the following (Formula 3).

  Next, the following variables and constants are defined in order to model fluctuations in inventory.

  The change formula of the stock quantity is expressed as (Formula 4) below.

  In addition, the upper and lower limit constraints on inventory are expressed by the following (formula 5).

  In the case where there is a restriction of the above (formula 5), there is a concern that when a mathematical model is solved, there is no solution. When considering practical use, it is essential to prevent the absence of a solution. For this purpose, the following variables are introduced.

  In order to prevent the absence of the solution according to (Expression 5), (Expression 5) is changed to the following (Expression 5 ′).

  In the inter-JOB constraint model, (raw material storage tank 1, first yard, reclaimer RR No. 1, first belt conveyor series), (raw material storage tank 2, second yard 2, reclaimer RR No. 2, fourth Belt conveyor series), (raw material storage tank 3, first yard, reclaimer RR No.1, third belt conveyor series), when entering into raw material storage tank 1 and raw material storage tank When entering tank 3, it is necessary to use all of RR No. 1, but this equipment cannot be used with time overlap (temporal interference). The constraint in this case is expressed as (Equation 6) below.

  Further, by transforming these equations, the equation model can be constructed as a simple linear form (Equation 7) to (Equation 9) below and an integer constraint equation. X is a matrix representation of the operation judgment of each facility, raw material storage tank inventory, etc., A and B are predetermined determinants, Xmin and Xmax are matrix representations of the lower and upper limit levels of the defined variables, respectively ( Equation 9) represents that all or part of the elements of x are integer constraints.

  Here, a case where the planner intentionally designates a part of production / distribution in advance will be described. For example, if you want to specify in advance to enter the raw material storage tank 1 at time 2x and reclaimer No. 2 into the raw material storage tank 2 at time 10x, add the following (Equation 10) as a constraint equation .

  (10) The mathematical model is optimized based on the evaluation function (the solution finding unit 310 in FIG. 3 and step S409 in FIG. 4). In this process, LP (Linear Programming), MIP (Mixed Integer Programming), QP (Secondary Programming) based on an evaluation function set in advance for each of the mathematical model equations composed of the linear and integer constraint equations constructed as described above. By solving the problem as an optimization problem using a combination of mathematical programming such as mathematical programming or tab search, genetic algorithm, etc. and mathematical programming, the order of tank entry, tank start and end times, In addition to the amount of incoming tanks, the start time of reclaimer operation, and the end time of reclaimer operation, the production / distribution plan for the raw material pile, yard, used reclaimer, conveyor belt conveyor line, and incoming tank raw material storage tank is obtained. For example, in the above optimization calculation, when a level that forms a suboptimal solution is acceptable, a genetic algorithm is used to form each integer variable I as a gene, and I formed by the genetic algorithm is a determined value. After that, can be solved as an LP problem. When it is desired to obtain an optimal solution, it is solved as a mixed integer programming problem.

  Here, an example in the case of using a linear format for the evaluation function is shown. In this embodiment, the purpose is to achieve a high level of stock level stability and efficient use of equipment. Therefore, the evaluation function is closer to the target stock amount specified by the operator and the better the lower the equipment availability, the better. It is a function to obtain. The target stock amount and the short stock amount from the target stock amount are defined as shown below.

  The relationship between the target stock amount and the shortage amount from the target stock amount is expressed by the following (Formula 11).

  When the evaluation function is expressed by an equation, the following (Equation 12) is obtained.

  When considering practical use, it is necessary to avoid overflowing the inventory from the upper limit of inventory and interruption from the lower limit of inventory as much as possible. Therefore, (Expression 12) representing the evaluation function is changed to (Expression 12 ′) below.

  By solving the above formulated formula (formula model) by the mixed integer programming method, the formula model is obtained.

  (11) The result of the solution is evaluated (determination unit 311 in FIG. 3 and step S410 in FIG. 4). In this process, first, it is determined whether or not the evaluation value of the evaluation function for the obtained result is within a preset range. If the determined result falls within the set range, the process proceeds to step S412 in FIG. 4, and if not, the process proceeds to step S411. For example, as the setting range of the evaluation value, it can be set that the evaluation value is 300 t or less.

  (12) The strategy is changed (resolving unit 312 in FIG. 3 and step S411 in FIG. 4). That is, when the evaluation value of the evaluation function for the result obtained in the process of step S409 does not fall within the preset range, the strategy is changed. For example, in the strategy change, the target stock amount of the tank having the smallest penalty for the shortage with respect to the target stock amount set for each raw material storage tank is lowered by 10 t. As a result of the above strategy change, if the target stock amount divides 50% of the upper limit of stock, the target stock amount of the tank with the smallest penalty for the shortage with respect to the target stock quantity is lowered by 10 tons. This can be realized by making settings such as sequentially repeating.

  (13) A simulation is performed based on the obtained solution (simulation unit 313 in FIG. 3 and step S411 in FIG. 4). The solution to the mathematical model obtained by solving the above mathematical model, and the raw material acceptance plan, the raw material yard plan, the equipment repair plan, the raw material yard present state, the tank stock present state, the tank cut-out amount, which are fetched by the input data fetching unit 301 Based on the current status, facility operation / failure status, and all or part of the operating preconditions from the operator, all or one of the target manufacturing process / transport process route / transport route / product / equipment / moving body The part is simulated with the planning accuracy set for the set fixed period. Here, the period for executing the simulation (simulation period) and the fixed period can be set separately, but in this embodiment, the simulation period is set to the fixed period and the synchronous period. This simulation simulates the constraints and operation rules that could not be incorporated into the mathematical model, so that the solution obtained as a result of solving the mathematical model can be used without problems in actual operation. Change to In this embodiment, the use time of the process route / conveyance route / equipment / moving body is determined to the accuracy required in actual operation by performing simulation with a precision that cannot be solved by the mathematical model.

  In addition, examples of constraints that are difficult to handle with mathematical models include the setup time, which is a function of distance, from the reclaimer operation to the entry to the raw material storage tank, when the reclaimer moves when the raw material storage tank changes. Incorporating a time lag of several minutes or so into a simulation and accurately simulating it makes it possible to make a production / logistics plan that takes into account the fine constraints required for actual operations.

  (14) The production / distribution plan is confirmed (confirmation unit 314 in FIG. 3, step S413 in FIG. 4). In this process, the fixed period set in the production / distribution plan derived by the simulation is determined. As shown in the drawing (FIG. 8) for explaining the production / distribution plan creation procedure in the present embodiment, the first eight hours of the created production / distribution plan are confirmed on the first day of the plan creation period, and the second day After that, the first day of the production / logistics plan will be confirmed. The portion of the produced production / distribution plan that has not entered the above-mentioned fixed period is discarded without being fixed.

  (15) The planning start date is updated (update unit 315 in FIG. 3, step S414 in FIG. 4). The date immediately after the production / distribution plan determined in the production / distribution plan is set as a new planning start date. As shown in FIG. 8, in the first loop, the planning start date that was initially 0 o'clock on the first day is updated at 8 o'clock on the first day. In the fourth loop, the planning start date which was originally 0 o'clock on the second day is updated at 0 o'clock on the third day. If the updated planning start date is within the production / distribution creation period, the process ends in step S406 in FIG. 4; otherwise, the process ends.

  In the present embodiment, when the sixth loop ends, a production / distribution plan for four days is created, and the process ends.

  As described above, according to the present embodiment, the brands A, B, and C to be transported to the raw material storage tanks 1 to 4 are detected according to the current distribution state, and the process path is selected for the detected brands A, B, and C. Extract potential candidates, construct a mathematical model for the extracted process path selectable candidates with a predetermined plan creation accuracy, solve the constructed mathematical model based on the evaluation function, reclaimer based on the solved solution, By simulating the operation and status of the belt conveyor system and raw material storage tank, and by setting the date and time immediately after the set fixed period as the new planning start date and time in the production / logistics plan obtained from the simulated results, Since a series of processes for finalizing the production and distribution plans for the target period is performed sequentially, production and distribution plans that require arbitrary time accuracy are planned in detail at high speed or with the accuracy required by the planner. Person De the flexibility to optimize the intention, and can be applied to the actual operation as such.

  In addition, although embodiment mentioned above demonstrated the case where this invention was applied to a tank introduction plan preparation apparatus, it is also possible to apply to a raw material physical distribution control apparatus. In this case, an instruction is given to the control device of the actual plant based on the created tank entry plan. In this way, the actual plant has the optimal order of tank entry, tank start and end times, tank volume, reclaimer operation start time, reclaimer operation end time, as well as discharged material pile, yard, used reclaimer, transfer The raw material yard operation is executed according to the belt conveyor system and the incoming tank raw material storage tank.

  When the actual plant is controlled based on the tank entry plan created in this way, the current physical distribution state in the actual plant changes, so that information is taken out at certain time intervals and supplied to the condition setting and taking-in unit 20. .

  The tank entry plan creation unit 21 performs input data fetching, initial value setting, and condition setting using the input data, initial value, and condition setting function (S401 in FIG. 4).

  And the storage tank which cuts a replenishment level is extracted, and all the processes and conveyance paths which can be selected with respect to the extracted raw material storage tank of replenishment object are extracted. Here, a mathematical model is constructed for all the obtained processes / conveyance routes based on the given current physical distribution state and physical distribution constraints.

  Each mathematical model is solved based on the evaluation function. Based on the results of the solution, the operation and status of the reclaimer, belt conveyor system and raw material storage tank are simulated. Establish the fixed period of the production / logistics plan obtained from the simulated results, update the planning start date to the date and time immediately after the fixed period, and return to the process of extracting the storage tank that cuts the replenishment level. By repeating until the end of the creation period, not only the order of tank entry, tank start and end time, tank amount, reclaimer operation start time, reclaimer operation end time, but also raw material pile, yard, used reclaimer, conveyor belt conveyor series, An incoming tank raw material storage tank is determined. By controlling the raw material distribution based on this result, the control of the raw material distribution is optimally executed.

  In addition, the above-mentioned basin plan preparation part 21 is comprised by the microcomputer which consists of CPU (central processing unit), RAM (random access memory), ROM (read-only memory) etc., for example, a personal computer etc. It can be realized by a computer.

It is a schematic diagram of a raw material yard manufacturing process (conveyance). It is a figure which shows the relationship between the structure of the production and distribution plan preparation apparatus by this embodiment, and another system. It is a block diagram which shows the detailed structure of the berthing plan preparation part of the production and distribution plan preparation apparatus of this embodiment. It is a flowchart which shows the content of the detailed process of the berthing plan preparation part of the production and distribution plan preparation apparatus by this embodiment. It is the simple figure which reduced the scale of the raw material yard manufacturing process (conveyance). It is a figure for demonstrating raw material storage tank stock forecast transition. It is the figure for demonstrating the search of a process path | route and a conveyance path | route, and the flowchart which shows a search method. It is a figure explaining the production and distribution plan creation procedure. It is a block diagram explaining an example of the whole structure of the production and physical distribution plan preparation apparatus to which this invention is applied.

Explanation of symbols

DESCRIPTION OF SYMBOLS 20 Condition setting and taking-in part 21 Incoming tank plan preparation part 22 Display part 23 Operator evaluation part 301 Input data acquisition part 302 Plan creation period setting part 303 Plan creation precision setting part 304 Plan creation object period setting part 305 Plan decision period setting part 306 Detection unit 307 Extraction unit 308 Construction unit 309 Formula model construction unit 310 Solution unit 311 Judgment unit 312 Resolve unit 313 Simulation unit 314 Determination unit 315 Update unit

Claims (13)

In a production / distribution plan creation device for creating a production / distribution plan in a production / distribution process in which a plurality of products are processed by different multiple process paths and each product can select a different multiple process path,
A simulator that represents the logistics flow and logistics constraints of the above production / logistics process as a model, detects the logistics status and logistics constraints when an event occurs,
A formula model holding device for holding a formula model composed of the distribution status and distribution constraints of the production / distribution process for a target period (plan creation period) set in advance from the production start date of the production / distribution plan; ,
An evaluation function setting device for setting an evaluation function for evaluating the mathematical model held by the mathematical model holding device;
An optimization calculation device that performs optimization calculation processing using the mathematical formula model held by the mathematical formula model holding device and the evaluation function set by the evaluation function setting device to calculate a physical distribution instruction for the simulator; And
Through the optimization calculation processing by the optimization calculation device, the distribution instruction is calculated for the target period (instruction calculation period) set within a predetermined range from the planning start date and time, is given to the simulator, and is selected in advance. The simulation is executed for the target period (simulation period), the simulation result is confirmed as the production / distribution plan for the preset period (plan decision period), and new planning starts immediately after the determined period. A production / distribution plan creation device for creating a production / distribution plan in the production / distribution process from the simulation result obtained by repeating the process of creating a production / distribution plan by setting the date and time,
A production / distribution plan creation apparatus characterized in that the time accuracy of the mathematical model, the instruction calculation period, the simulation period, and / or the plan determination period can be arbitrarily set.   2. The time accuracy of the mathematical model, the instruction calculation period, the simulation period, and / or the plan finalization period can be individually set for each loop of the repetition of the process, respectively. The production / distribution plan creation device described in 1.   2. In the optimization calculation process, when the evaluation value by the evaluation function is out of a set range, the strategy is changed, the mathematical model is constructed again, and the optimization calculation process is performed again. Or the production / distribution plan creation device according to 2.   In the above mathematical model, an overflow prevention variable that stores a value that overflows from the upper limit constraint with respect to a variable that is set with an upper limit constraint is introduced, and the introduced overflow prevention variable is added to the upper limit value of the upper limit constraint; 4. The production / distribution plan creation apparatus according to claim 1, wherein the production / distribution plan creation device is changed to a constraint in which the upper limit constraint is set to be equal.   In the above mathematical model, an interrupt compensation variable that stores a value for interrupting the lower limit constraint with respect to a variable for which the lower limit constraint is set is introduced, and the introduced interrupt compensation variable is subtracted from the lower limit value of the lower limit constraint and 5. The production / distribution plan creation device according to claim 1, wherein the production / distribution plan creation device is changed to a constraint in which the variable set with the lower limit constraint is equal.   6. The production / distribution plan creation device according to claim 1, wherein the evaluation function includes at least one of an overflow prevention variable and an interrupt compensation variable.   The production / distribution plan creation device according to claim 1, wherein the optimization calculation device performs optimization calculation processing as an optimization or quasi-optimization problem.   The production / distribution using the production / distribution plan creation device according to any one of claims 1 to 7, wherein a part of the production / distribution plan can be designated in advance by a planner. Planning method. In a production / distribution plan creation method for creating a production / distribution plan in a production / distribution process in which a plurality of products are processed by different multiple process paths and each product can select a different multiple process path,
A simulator that represents the logistics flow and logistics constraints of the above production / logistics process as a model, detects the logistics status and logistics constraints when an event occurs,
A formula model holding device for holding a formula model composed of the distribution status and distribution constraints of the production / distribution process for a target period (plan creation period) set in advance from the production start date of the production / distribution plan; ,
An evaluation function setting device for setting an evaluation function for evaluating the mathematical model held by the mathematical model holding device;
Using an optimization calculation apparatus that performs optimization calculation processing using the mathematical expression model held by the mathematical expression model holding apparatus and the evaluation function set by the evaluation function setting apparatus to calculate a physical distribution instruction for the simulator ,
Through the optimization calculation processing by the optimization calculation device, the distribution instruction is calculated for the target period (instruction calculation period) set within a predetermined range from the planning start date and time, is given to the simulator, and is selected in advance. The simulation is executed for the target period (simulation period), the simulation result is confirmed as the production / distribution plan for the preset period (plan decision period), and new planning starts immediately after the determined period. A production / logistics plan creation method for creating a production / logistics plan in the production / logistics process from the simulation result obtained by repeating the process of setting the date and time and drafting the production / logistics plan,
A production / distribution plan creation method characterized in that all or any of the time accuracy of the mathematical model, the instruction calculation period, the simulation period, and the plan determination period can be arbitrarily set. A computer program that causes a computer to execute production / distribution plan creation in order to create a production / distribution plan in a production / distribution process in which a plurality of products are processed by different plural process paths and each product can select a different plural process route. In
A simulator that represents the logistics flow and logistics constraints of the above production / logistics process as a model, detects the logistics status and logistics constraints when an event occurs,
A formula model holding device for holding a formula model composed of the distribution status and distribution constraints of the production / distribution process for a target period (plan creation period) set in advance from the production start date of the production / distribution plan; ,
An evaluation function setting device for setting an evaluation function for evaluating the mathematical model held by the mathematical model holding device;
Using an optimization calculation apparatus that performs optimization calculation processing using the mathematical expression model held by the mathematical expression model holding apparatus and the evaluation function set by the evaluation function setting apparatus to calculate a physical distribution instruction for the simulator ,
Through the optimization calculation processing by the optimization calculation device, the distribution instruction is calculated for the target period (instruction calculation period) set within a predetermined range from the planning start date and time, is given to the simulator, and is selected in advance. The simulation is executed for the target period (simulation period), the simulation result is confirmed as the production / distribution plan for the preset period (plan decision period), and new planning starts immediately after the determined period. A computer program that causes a computer to execute production / distribution plan creation for creating production / distribution plans in the above production / distribution processes from simulation results obtained by repeating the process of creating production / distribution plans by setting the date and time There,
A computer program that can arbitrarily set all or any of the time accuracy of the mathematical model, the instruction calculation period, the simulation period, and the plan determination period. In a process control apparatus for controlling a production / distribution process in which a plurality of products are processed in different multi-step paths and each product can select a different multi-step path,
A simulator that represents the logistics flow and logistics constraints of the above production / logistics process as a model, detects the logistics status and logistics constraints when an event occurs,
A formula model holding device for holding a formula model composed of the distribution status and distribution constraints of the production / distribution process for a target period (plan creation period) set in advance from the production start date of the production / distribution plan; ,
An evaluation function setting device for setting an evaluation function for evaluating the mathematical model held by the mathematical model holding device;
An optimization calculation device that performs optimization calculation processing using the mathematical formula model held by the mathematical formula model holding device and the evaluation function set by the evaluation function setting device to calculate a physical distribution instruction for the simulator; And
Through the optimization calculation processing by the optimization calculation device, the distribution instruction is calculated for the target period (instruction calculation period) set within a predetermined range from the planning start date and time, is given to the simulator, and is selected in advance. The simulation is executed for the target period (simulation period), the simulation result is confirmed as the production / distribution plan for the preset period (plan decision period), and new planning starts immediately after the determined period. A process control device for controlling the production / distribution process based on a simulation result obtained by repeating a process of setting a date and time and creating a production / distribution plan,
All or any one of the time accuracy of the mathematical model, the instruction calculation period, the simulation period, and the plan determination period can be arbitrarily set. In a process control method for controlling a production / distribution process in which a plurality of products are processed in different multi-step paths and each product can select a different multi-step path,
A simulator that represents the logistics flow and logistics constraints of the above production / logistics process as a model, detects the logistics status and logistics constraints when an event occurs,
A formula model holding device for holding a formula model composed of the distribution status and distribution constraints of the production / distribution process for a target period (plan creation period) set in advance from the production start date of the production / distribution plan; ,
An evaluation function setting device for setting an evaluation function for evaluating the mathematical model held by the mathematical model holding device;
Using an optimization calculation apparatus that performs optimization calculation processing using the mathematical expression model held by the mathematical expression model holding apparatus and the evaluation function set by the evaluation function setting apparatus to calculate a physical distribution instruction for the simulator ,
Through the optimization calculation processing by the optimization calculation device, the distribution instruction is calculated for the target period (instruction calculation period) set within a predetermined range from the planning start date and time, is given to the simulator, and is selected in advance. The simulation is executed for the target period (simulation period), the simulation result is confirmed as the production / distribution plan for the preset period (plan decision period), and new planning starts immediately after the determined period. A process control method for controlling the production / distribution process based on a simulation result obtained by repeating a process of setting a date / time and creating a production / distribution plan,
All or any one of the time accuracy of the mathematical model, the instruction calculation period, the simulation period, and the plan determination period can be arbitrarily set. In a computer program for causing a computer to execute process control for controlling a production / distribution process in which a plurality of products are processed in different multi-step paths and each product can select a different multi-step path.
A simulator that represents the logistics flow and logistics constraints of the above production / logistics process as a model, detects the logistics status and logistics constraints when an event occurs,
A formula model holding device for holding a formula model composed of the distribution status and distribution constraints of the production / distribution process for a target period (plan creation period) set in advance from the production start date of the production / distribution plan; ,
An evaluation function setting device for setting an evaluation function for evaluating the mathematical model held by the mathematical model holding device;
Using an optimization calculation apparatus that performs optimization calculation processing using the mathematical expression model held by the mathematical expression model holding apparatus and the evaluation function set by the evaluation function setting apparatus to calculate a physical distribution instruction for the simulator ,
Through the optimization calculation processing by the optimization calculation device, the distribution instruction is calculated for the target period (instruction calculation period) set within a predetermined range from the planning start date and time, is given to the simulator, and is selected in advance. The simulation is executed for the target period (simulation period), the simulation result is confirmed as the production / distribution plan for the preset period (plan decision period), and new planning starts immediately after the determined period. A computer program for causing a computer to execute the control of the production / distribution process based on a simulation result obtained by repeating a process of setting a date and time and creating a production / distribution plan,
A computer program that can arbitrarily set all or any of the time accuracy of the mathematical model, the instruction calculation period, the simulation period, and the plan determination period.

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