JP2020046811A - Processing plan indication device - Google Patents

Abstract

To present a certain achievement level of a processing plan.SOLUTION: A processing plan indication device comprises: a processing plan making unit which makes a processing plan about a plurality of jobs on the basis of prescribed processing relevant information; a certain achievement level determination unit which determines a certain achievement level of processing on the basis of incidental information of the processing plan inputted from the processing plan making unit; and an output unit which outputs the processing plan along with the certain achievement level.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a processing plan instruction device.

  Patent Literature 1 below discloses a production process scheduler capable of realizing effective use of equipment by appropriately allocating the equipment. This production process scheduler generates a job for each lot by referring to production-related information for each order, allocates the job (lot) to equipment (process), and displays the allocation status of the lot (job) for each process. It is displayed as.

Japanese Patent No. 3526516

  By the way, in order to more reliably execute the production plan set by the production process scheduler, it is indispensable to have the personnel (operators) involved in the production work perform an appropriate operation according to the production plan. For example, the necessity of the production plan differs depending on the lot in relation to the order. However, as described above, merely displaying the allocation status of the lot (job) as a chart for each process can be used by the operator to determine the necessity of the production plan. Can not understand. That is, in the background art described above, the degree of necessity for the production plan is not presented to the worker, so that the worker cannot perform an appropriate operation.

  The present invention has been made in view of the above-described circumstances, and has as its object to provide a processing plan instruction device capable of presenting the degree of necessity for a processing plan.

  In order to achieve the above object, according to the present invention, as a first solving means according to a processing plan instructing apparatus, a processing plan creating section for creating a processing plan for a plurality of jobs based on predetermined processing-related information; A means is provided that includes a necessity degree determination unit that determines the degree of necessity of processing based on supplementary information of the processing plan input from the plan creation unit, and an output unit that outputs the processing plan together with the degree of necessity. .

  In the present invention, as a second solving means according to the processing plan instructing device, in the first solving means, the supplementary information is consumption data indicating a change in consumption of resources required for processing the job. Means for determining that the time at which the consumption amount is the maximum is determined to be the highest degree of necessity, and the output unit displays the time at which the degree of necessity is highest on the processing plan. Is adopted.

  In the present invention, as a third solving means according to the processing plan instructing device, in the second solving means, when the plurality of jobs are processed in parallel by using a plurality of processing facilities, A processing plan is created for each processing facility, and the necessity determining unit employs means for determining that the time at which the total consumption of the plurality of processing facilities is maximum is the highest in the necessity.

  According to the present invention, as a fourth solution according to the production plan instruction device, in the second or the third solution, the necessity degree determination unit determines whether the consumption amount is the maximum in addition to the time when the consumption amount is maximum. Determining a time of high consumption satisfying a predetermined condition, the output unit displays a time of high consumption in which the consumption satisfies a predetermined condition, in addition to the time of the highest degree of necessity. Adopt means.

  According to the present invention, as a fifth solution means relating to the processing plan instructing device, in any one of the first to fourth solution means, an operation unit for receiving a correction instruction for the processing plan is further provided; Creates a correction processing plan based on the correction instruction, and the output unit outputs the correction processing plan.

  According to the present invention, it is possible to present the degree of necessity for a processing plan.

It is a mimetic diagram showing an outline of a heat treatment facility in one embodiment of the present invention. FIG. 4 is a characteristic diagram illustrating a change in power consumption of the heat treatment furnace according to the embodiment of the present invention. It is a block diagram showing the functional composition of the heat treatment plan creation support device concerning one embodiment of the present invention. It is a flowchart which shows operation | movement of the heat processing plan preparation assistance apparatus which concerns on one Embodiment of this invention. It is a mimetic diagram showing a plan figure of a heat treatment plan preparation supporting device concerning one embodiment of the present invention.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
The heat treatment plan creation support device according to the present embodiment is intended to support a heat treatment facility having a plurality of heat treatment facilities, and minimizes the peak (maximum value) of the power consumption of the heat treatment facility or sets the peak to the predetermined management value or less. This is a device that obtains a heat treatment plan (treatment plan) for the heat treatment equipment and outputs the heat treatment plan. Such a heat treatment plan creation support device corresponds to the treatment plan instruction device according to the present invention, and is a kind of computer on which a predetermined heat treatment support program (software) is installed. Hereinafter, the heat treatment plan creation support device is simply referred to as a support device.

  As shown in FIG. 1, the heat treatment facility is a heat treatment plant that operates, for example, a plurality (eight) of heat treatment furnaces R1 to R8 as heat treatment equipment. Such a heat treatment factory (heat treatment facility) includes a plurality of heat treatment furnaces R1 to R8 (heat treatment equipment), a plurality of upstream lines U, a component storage S, and a plurality of downstream lines L. A plurality of parts X are subjected to heat treatment (job) simultaneously and in parallel using the furnaces R1 to R8. That is, the heat treatment factory is a processing facility that performs a plurality of heat treatments (jobs) in parallel using the plurality of heat treatment furnaces R1 to R8. In this embodiment, electric power is a resource necessary for the heat treatment (job).

  In such a heat treatment facility, each upstream line U is a production line for performing a predetermined pre-process (cleaning process or the like) on the component X before heat treatment, and the component storage S is pre-processed by each upstream line U. This is a component holding facility for temporarily holding the component X.

  Each of the heat treatment furnaces R1 to R8 is a heating and cooling furnace that sequentially receives a predetermined number of components X from the component storage S and performs heat treatment under predetermined processing conditions. In these heat treatment furnaces R1 to R8, for example, as shown by a dashed line in FIG. 2, the furnace temperature rises from room temperature to a target temperature over a predetermined time (temperature rise time), and then the target temperature is raised for a predetermined time (average time). (Heat time), and further decreases to room temperature over a predetermined time (cooling time). The temperature rise time, the soaking time, the cooling time, and the target temperature are processing conditions of a job (heat treatment) and are set for each part X.

  The power consumption of such heat treatment furnaces R1 to R8 changes as shown by the solid line in FIG. That is, the power consumption of each of the heat treatment furnaces R1 to R8 reaches a maximum value from zero in the above-mentioned temperature rise time, then falls, maintains a constant value, and further falls to zero in the middle of the cooling time. Each of the heat treatment furnaces R1 to R8 repeats the heat treatment in which the furnace temperature and the power consumption change as described above for a predetermined number of components X sequentially received from the component storage S. Each downstream line L is a production line for subjecting the heat-treated parts X received from each of the heat treatment furnaces R1 to R8 to predetermined post-processing (such as sorting).

  Among the processing facilities in such a heat treatment factory, each of the heat treatment furnaces R1 to R8 is a processing facility that consumes much higher power than the other upstream lines U, component storage S, and downstream lines L. That is, the plurality of heat treatment furnaces R1 to R8 are processing equipment that controls power consumption in a heat treatment plant.

  As shown in FIG. 3, the support device according to the present embodiment includes a storage unit 1, an operation unit 2, a communication unit 3, a calculation unit 4, and a display unit 5 as functional components. Note that, among the components of such a support device, the storage unit 1 and the calculation unit 4 constitute a processing plan creation unit and a necessity determination unit of the present invention.

  Although details will be described later, the storage unit 1 and the arithmetic unit 4 function as a processing plan creation unit that creates a heat treatment plan for a plurality of heat treatments (jobs) based on predetermined heat treatment related information, and the processing plan creation unit It functions as a necessity determination unit that determines the necessity of heat treatment (job) based on the supplementary information of the heat treatment plan input from. The communication unit 3 and the display unit 5 correspond to an output unit in the present invention. The predetermined heat treatment-related information includes, for example, the content of the heat treatment, the earliest executable time, the delivery date of the part X after the heat treatment to the customer, the execution priority of each job, the work schedule of the worker, and the heat treatment furnaces R1 to R5. This is the maintenance schedule of R8, or the number of furnaces that can start operation per unit time.

  Incidentally, the storage unit 1 includes an internal storage device such as a ROM (Read Only Memory) and a RAM (Random Access Memory) and an external storage device such as a hard disk or / and a memory card, and stores the heat treatment furnace database 1a and the program storage unit 1b. I have at least.

  The heat treatment furnace database 1a is a data table in which a plurality of operation histories of the heat treatment furnaces R1 to R8 are registered. This operation history includes at least power consumption data in past heat treatments performed in each of the heat treatment furnaces R1 to R8. As shown in FIG. 2, the power consumption data indicates a temporal change in the power consumption required for the heat treatment.

  The program storage unit 1b is a storage area in which the support program, that is, the program executed by the calculation unit 4 is stored. The program storage unit 1b stores at least a power consumption prediction program and a mathematical planning program as the support programs.

  The power consumption prediction program is a support program for generating individual predicted power consumption data indicating a change in power consumption of a heat treatment (job) to be executed next in the heat treatment furnaces R1 to R8 based on the heat treatment furnace database 1a. The mathematical programming program is a support program for finding an optimal heat treatment plan by solving a power optimization problem using a predetermined algorithm.

  The operation unit 2 is an input device that receives an operation instruction of a worker who operates the support device, and more specifically, is a pointing device such as a keyboard and a mouse. The operation unit 2 outputs an operation signal corresponding to an operator's operation instruction to the calculation unit 4. The communication unit 3 is a communication device that transmits and receives data to and from an external device via a predetermined communication line, and communicates with the external device using, for example, a communication protocol conforming to a LAN (Local Area Network) or the Internet.

  The calculation unit 4 is a calculation device that calculates the individual predicted power consumption data and the heat treatment plan based on the above-described dedicated program, the heat treatment furnace database 1a, the operation signal, and the like, and includes hardware such as an interface circuit and a CPU (Central Processing Unit). Consists of The interface circuit is an electronic circuit that exchanges various signals with the storage unit 1, the operation unit 2, the communication unit 3, and the display unit 5, and the CPU is a central processing unit that executes the above-described support program.

  In addition, the calculation unit 4 includes at least a prediction unit 4a, an optimization unit 4b, and an image generation unit 4c as functional components. Note that, among these functional components, the prediction unit 4a, the optimization unit 4b, and the storage unit 1 described above constitute a processing plan creation unit in the present invention. Further, the image generation unit 4c and the storage unit 1 constitute a necessity determination unit in the present invention.

  The prediction unit 4a generates individual predicted power consumption data indicating predicted power consumption of each heat treatment (job) in each heat treatment furnace R based on the heat treatment furnace database 1a and the power consumption prediction program. The optimizing unit 4b minimizes the total power consumption peak of each of the heat treatment furnaces R1 to R8 based on the individual predicted power consumption data and the mathematical planning program stored in the program storage unit 1b, or less than or less than a predetermined management value. A heat treatment plan that can be used.

  Further, the optimizing unit 4b generates the total predicted power consumption data indicating the time change of the total power consumption of the plurality of heat treatment furnaces R1 to R8 and the heat treatment plan based on the heat treatment plan. That is, the total predicted power consumption data corresponds to the heat treatment plan and is additional information of the heat treatment plan. The optimization unit 4b outputs the heat treatment plan and the total estimated power consumption data generated by the optimization unit 4b to the image generation unit 4c.

  The image generation unit 4c, based on the individual predicted power consumption data, the heat treatment plan, and the total predicted power consumption data, performs a heat treatment plan, a change in power consumption of each of the heat treatment furnaces R1 to R8, a change in overall power consumption of the heat treatment plant, and the like. Is generated. This image data shows a heat treatment plan and each power consumption as a Gantt chart described later.

  The image generation unit 4c extracts the time zone of the total power consumption peak from the total predicted power consumption data as a part of the image data generation processing. Note that the time zone of the total power consumption peak does not only mean the time corresponding to one point of the strict maximum value, but the margin for the power management value of the total equipment (total of the plurality of heat treatment furnaces) is equal to the first threshold. The time zone may be the following (or less). For example, when the contract power is 1000 [kW] and the margin is 10 [%], a time zone in which the total power consumption is 900 [kW] or more is extracted. The time period of the total power consumption peak is a time when the power consumption of the heat treatment plant may exceed the preset power consumption management value when the heat treatment is not performed according to the treatment plan. This is the highest degree of time.

  That is, the image generation unit 4c determines the degree of necessity of the heat treatment (job) based on the total predicted power consumption data of each of the heat treatment furnaces R1 to R8, which is supplementary information of the treatment plan. The power consumption management value is a power value for management set by an administrator of the heat treatment plant, such as a limit value of power consumption allowed in the heat treatment plant.

  In addition, the image generation unit 4c compares the individual predicted power consumption data with a predetermined threshold value, and extracts a time period of high power consumption in which the power consumption of each of the heat treatment furnaces R1 to R8 satisfies a predetermined condition. . Such an image generation unit 4c outputs image data to the display unit 5. The display unit 5 is a display device that displays a heat treatment plan, a time zone of peak power consumption, a time zone of high power consumption, and the like based on the image data.

  Here, the time zone of high power consumption where the power consumption satisfies the predetermined condition is, for example, that the margin for the power consumption management value for each facility (each of the plurality of heat treatment furnaces) is equal to or less than (or less than) the second threshold value. It is a time zone. For example, when the rated power is 200 [kW] and the margin is 10 [%] (second threshold), the time during which the power consumption is 180 [kW] or more is extracted. In addition, the time zone of high power consumption where the power consumption satisfies the predetermined condition is defined as the number of facilities (each of the plurality of heat treatment furnaces) whose margin for the power consumption management value is equal to or less than (or less than) the second threshold value. It may be a time zone that is equal to or more than three thresholds (or exceeds the third threshold) and does not overlap the time zone of the total power consumption peak. Further, the time zone of high power consumption where the power consumption satisfies the predetermined condition is defined as a time when the margin for the power consumption management value of the total equipment (all of the plurality of heat treatment furnaces) is equal to or less than (or less than) the fourth threshold (fourth threshold) Is greater than or equal to the first threshold) and may not overlap with the total power consumption peak time period.

  Next, the operation of the support device according to the present embodiment will be described in detail with reference to FIGS.

  First, when an optimal heat treatment plan of a heat treatment plant in a predetermined plan period (for example, for one week) is determined using this support device, the heat treatment of the plurality of parts X performed by each of the heat treatment furnaces R1 to R8 in the plan period is performed. It is necessary to input the content as a job (a unit of heat treatment execution) to the support device. That is, a job relating to a plurality of parts X to be heat-treated in the heat treatment plant during the planning period is input to the support device as necessary information (predetermined heat-treatment-related information).

  In addition, in order to obtain an optimal heat treatment plan using this support device, in addition to the plurality of heat treatments (jobs) described above, necessary conditions (predetermined heat treatment related information) relating to the execution of each heat treatment (job) are described. It is necessary to input to the support device as a constraint condition for solving the optimization problem. The constraint conditions include, for example, the earliest executable time of each job, the delivery date of the part X after heat treatment to the customer, the execution priority of each job, the work schedule of the worker, the maintenance schedule of the heat treatment furnaces R1 to R8, and the unit. This is the number of furnaces that can start operation per hour.

  The operator operates the operation unit 2 to input the plurality of jobs and the constraints described above from the operation unit 2 (step S1). When an operation signal relating to each of the jobs and the constraint conditions is input from the operation unit 2, the arithmetic unit 4 stores the heat treatment (job) and the constraint conditions in the storage unit 1, and executes the power consumption prediction program on the storage unit 1. In this way, individual predicted power consumption data for each heat treatment (job) is generated, and a heat treatment plan is searched for by solving the power optimization problem including the individual predicted power consumption data and the above constraint (step S2). Generate predicted power consumption data (step S3).

  That is, the prediction unit 4a generates individual predicted power consumption data for each heat treatment (job) by searching the heat treatment furnace database 1a for power consumption data similar to each heat treatment (job). Further, the optimization unit 4b minimizes the heat treatment plan for each of the heat treatment furnaces R1 to R8 based on the individual predicted power consumption data and the mathematical planning program, that is, minimizes the total power consumption peak of each of the heat treatment furnaces R1 to R8 or performs predetermined management. The operation schedule of each of the heat treatment furnaces R1 to R8, which can be equal to or less than the value, is determined (step S2), and the individual predicted power consumption indicated by the individual predicted power consumption data is added to obtain the total predicted power consumption data corresponding to the heat treatment plan. It is determined (step S3).

  Here, the details of the formulation and solution of the power optimization problem are described in Japanese Patent Application No. 2017-141248. This Japanese Patent Application No. 2017-141248 is a prior application of the present applicant, and specifically formulates a power optimization problem that can minimize or reduce the total power consumption peak for a plurality of heat treatment furnaces to or below or below a predetermined management value. The solution is described. Therefore, detailed description of the formulation and solution of the power optimization problem is omitted in this specification. Note that the constraints of the power optimization problem in the present embodiment are slightly different from the constraints of Japanese Patent Application No. 2017-141248.

  Then, the calculation unit 4 extracts the time zone of the total power consumption peak in the heat treatment plant from the total predicted power consumption data (Step S4). That is, the image generation unit 4c extracts a time zone in which the total predicted power consumption of each of the heat treatment furnaces R1 to R8 is the largest from the total predicted power consumption data. The total power consumption peak is generated when individual power consumption peaks (individual power consumption peaks) regarding the plurality of heat treatment furnaces R1 to R8 overlap in time series.

  In addition, in addition to such a total power consumption peak, the arithmetic unit 4 also extracts a time zone of high power consumption in which the predicted power consumption is relatively large in each heat treatment (job). That is, the image generation unit 4c also extracts a time zone of high power consumption by comparing the individual predicted power consumption data with the predetermined threshold.

  Then, the calculation unit 4 generates a heat treatment plan to which the time zone of the total power consumption peak and the large power consumption is added as a Gantt chart and outputs the heat treatment plan to the display unit 5 (Step S5). That is, the image generation unit 4c generates an image in which the time zone of the total power consumption peak and the time zone of the large power consumption are added to the chart (heat treatment plan table) which shows the operation states of the heat treatment furnaces R1 to R8 in chronological order. The image data is generated and output to the display unit 5.

  FIG. 5 shows an example of the Gantt chart generated in this way. This Gantt chart shows a heat treatment plan, that is, an operation schedule of each of the heat treatment furnaces R1 to R8 in square units corresponding to a predetermined time width (for example, 30 minutes). That is, in this Gantt chart, the stop / operation of each of the heat treatment furnaces R1 to R8 and the start time zone of the heat treatment (job) executed by each of the heat treatment furnaces R1 to R8 are displayed as squares arranged on the time axis.

  In addition, this Gantt chart additionally displays a time zone of the total power consumption peak as a “!” Mark, and a time zone of high power consumption, that is, a time zone where power consumption is relatively large in the heat treatment (job). This is displayed as a difference in the background pattern of each cell. In the example shown in FIG. 5, the time zone of the peak power consumption is indicated as a time zone in which both job A of heat treatment furnace R6 and job B of heat treatment furnace R8 indicated by a thick line overlap as a time zone of high power consumption. Have been.

  The support device according to the present embodiment displays such a Gantt chart before the actual heat treatment (job) is performed, for example, at the start of the operation of the heat treatment plant. Then, when the heat treatment (job) is started, as shown in FIG. 5, the current time is displayed on the Gantt chart so that the implementation status of the heat treatment plan can be grasped.

  According to the present embodiment, the time zone of the total power consumption peak is displayed on the display unit 5 as a Gantt chart together with the heat treatment plan. Preparations can be made so that the heat treatment (job) of each of the heat treatment furnaces R1 to R8 in the time zone is performed according to the heat treatment plan. Further, according to the present embodiment, after the start of the heat treatment (job), the operator can accurately grasp the implementation status of the heat treatment plan.

  In the above-described Gantt chart, when the operator operates the operation unit 2 to specify a grid on the Gantt chart, the total peak power in the time zone of the grid is displayed in a pop-up manner. That is, the image generation unit 4c searches the total predicted power consumption data for the total power consumption value corresponding to the cell designated by the operation unit 2 and displays the total power consumption value on the display unit 5. By checking the total peak power, the worker can check whether the total peak power is less than the above-described power consumption management value.

  Then, when the total peak power exceeds the power consumption management value, the operator operates the operation unit 2 to cause the calculation unit 4 to input a heat treatment plan correction instruction. When the correction instruction is input from the operation unit 2 (step S6) and more specific correction contents are input from the operation unit 2 (step S7), the optimization unit 4b of the calculation unit 4 performs correction based on the correction contents. A heat treatment plan (correction processing plan) and corrected total predicted power consumption data are generated and output to the display unit 5 (step S8).

  For example, the content of the correction is that the processing time of the heat treatment furnace having a high relation with the total power consumption peak, and in the case of the heat treatment plan of FIG. 5, the processing time of the job A of the heat treatment furnace R6 and the processing time of the job B of the heat treatment furnace R8 are moved back and forth. Things. That is, the content of the correction is to move the processing time of the job A of the heat treatment furnace R6 back and forth by the first cell, and / or to move the processing time of the job B of the heat treatment furnace R8 back and forth by the first cell. is there.

  However, such a shift in the processing time of a specific job (heat treatment) affects the power consumption of other jobs (heat treatment) due to the presence of the shutdown period of the heat treatment furnace before and / or after the job (heat treatment). This is a job (heat treatment) that does not give the image.

  As a result of the above step S8, the corrected Gantt chart is displayed on the display unit 5, and the operator displays the corrected total peak power by specifying a grid on the corrected Gantt chart. Then, the operator can confirm whether or not the corrected total peak power has fallen below the power consumption management value.

  According to such a heat treatment plan correction process, the arithmetic unit 4 can verify the credibility of the heat treatment plan automatically obtained by solving the power optimization problem, and the power consumption management value is lower than the power consumption management value. This enables acquisition of a heat treatment plan.

Note that the present invention is not limited to the above embodiment, and for example, the following modified examples can be considered.
(1) In the above embodiment, the creation of the heat treatment plan of the heat treatment factory was described, but the present invention is not limited to this. That is, the present invention can be applied to various treatment plans other than the heat treatment plan that requires advance preparation for the treatment, for example, a product production plan, etc., and the treatment equipment in the present invention may be various equipment other than the heat treatment furnace. Can be

(2) In the above embodiment, the necessity of the heat treatment (job) is determined based on the total predicted power consumption data of each of the heat treatment furnaces R1 to R8, which is supplementary information of the treatment plan, but the present invention is not limited to this. That is, the supplementary information of the present invention is not limited to the total predicted power consumption data, but various information can be considered depending on the properties of the processing facility and the processing facility provided with the processing facility.

(3) In the above embodiment, the time period of the total power consumption peak, that is, the time period of the heat treatment (job) with the highest necessity is displayed on the Gantt chart, but the present invention is not limited to this. For example, in addition to the time zone of the total power consumption peak, the power consumption peak next to the total power consumption peak in the total predicted power consumption data may be displayed on the Gantt chart as the second necessity time zone. Also, as a matter of course, the display method of the time zone of the necessity level is not limited to the display form of the Gantt chart.

(4) In the above embodiment, the heat treatment plan and the time zone with the highest necessity are output from the calculation unit 4 (image generation unit 4c) to the display unit 5, but the present invention is not limited to this. Instead of the display unit 5 or in addition to the display unit 5, a heat treatment plan and a time zone with the highest necessity may be output to the communication unit 3. Further, a printing unit may be additionally provided as needed, and a heat treatment plan and a time zone having the highest necessity may be output to the printing unit. That is, the output unit in the present invention is not limited to the display unit 5, and various devices may be used as the output unit as needed.

(5) In the above-described embodiment, in addition to the total power consumption peak time zone, the time zone of high power consumption in each heat treatment (job) is displayed as the background pattern of the grid, but the present invention is not limited to this. The display of the time zone of high power consumption may be omitted as necessary. Further, the display mode of the time zone with large power consumption is not limited to the background pattern of the square.

(6) In the above embodiment, the corrected heat treatment plan and the corrected total predicted power consumption data are generated, but the present invention is not limited to this. The process of generating the corrected heat treatment plan and the corrected total predicted power consumption data may be omitted as necessary.

(7) In the above embodiment, the predicted power consumption data is generated based on the heat treatment furnace database 1a, but the present invention is not limited to this. For example, the physical model of the heat treatment furnace R may be stored in the storage unit 1, and the predicted power consumption data may be generated using the physical model. Further, the predicted power consumption data may be generated by using the physical model and the heat treatment furnace database 1a together.

(8) As the power consumption value before the current time, the measured value may be displayed, or the predicted value and the measured value may be displayed in a superimposed manner.

(9) The above embodiment focuses on electric power, which is an example of resources required for processing a job (heat treatment), but the present invention is not limited to this. That is, the resource in the present invention is a concept that includes various fuels such as gas and oil, and various production goods such as water and raw materials, in addition to electric power, as long as the resources are necessary for the operation of the equipment.

R1 to R8 Heat treatment furnace U Upstream line S Parts storage L Downstream line 1 Storage unit 1a Heat treatment furnace database 1b Program storage unit 2 Operation unit 3 Communication unit 4 Operation unit 4a Prediction unit 4b Optimization unit 4c Image generation unit 5 Display unit

Claims (5)

A processing plan creation unit that creates a processing plan for a plurality of jobs based on predetermined processing-related information;
A necessity determining unit that determines the necessity of processing based on the incidental information of the processing plan input from the processing plan creating unit;
And an output unit for outputting the processing plan together with the degree of necessity. The supplementary information is consumption data indicating a change in consumption of resources required for processing the job,
The reachability determination unit determines that the time at which the consumption amount is the maximum is the reachability is the highest,
The processing plan instruction device according to claim 1, wherein the output unit displays a time at which the degree of necessity is highest on the processing plan. When a plurality of the jobs are processed in parallel using a plurality of processing facilities,
The processing plan creation unit creates a processing plan for each of the processing equipment,
The processing plan instruction device according to claim 2, wherein the necessity degree determining unit determines that the time when the total consumption of the plurality of processing facilities is maximum is the highest in the necessity degree. The necessity degree determination unit determines, in addition to the time when the consumption amount is the maximum, the time when the consumption amount is large enough to satisfy a predetermined condition,
The processing plan instructing device according to claim 2, wherein the output unit displays, in addition to the time at which the degree of attainment is the highest, a time when the consumption amount is large enough to satisfy a predetermined condition. . An operation unit that receives a correction instruction for the processing plan,
The processing plan creation unit creates a correction processing plan based on the correction instruction,
The processing plan instructing device according to any one of claims 1 to 4, wherein the output unit outputs the correction processing plan.

Images