JP6829667B2 - Production simulation equipment - Google Patents

Description

The present invention is a technique relating to a production simulation device that calculates a profit improvement plan with respect to an order plan and a production plan in a plant piping business.

In the plant piping business where piping, equipment, etc. are installed in various power plants, chemical plants, etc., large-scale plant construction plans can obtain progress information waiting for approval from the government, and piping, etc. of existing plants in various places can be used. The statutory maintenance period is fixed, and it is easy to make a forecast when it is possible to receive orders for local renewal for maintenance and maintenance work for improvement, as well as maintenance and inspection. Has the characteristics of being
In addition, the plant piping product group has the characteristic that it is a single product that is manufactured and delivered after receiving a formal order, and is a product that is produced in small quantities.

In the plant piping business targeted by the present invention, the design and manufacturing processes of products corresponding to a large number of small-scale maintenance orders based on a maintenance plan and large-scale new installation orders are carried out in parallel and mixedly. It is necessary to prepare the production system in advance according to the order plan information that is not finalized. In this case, in general, the product specifications and quantity scale are calculated from the order planning information, the required work and work amount are calculated from the product specifications and quantity scale, and the required equipment number and production system are produced from the work and work amount. Determine planning information. After that, the profit outlook is calculated by performing cost calculation, but if the profit outlook obtained here is lower than the target set in the management plan, each plan goes back to the order receiving plan and the production plan. It is necessary to carry out a review of.

Patent Document 1 discloses a method in which a target profit is set first, and the required sales, product quantity, production man-hours, and production plan are sequentially calculated from this value.

Further, Patent Document 2 discloses a method in which a sales department that formulates an order plan and a production department that formulates a production plan can perform profit calculation by registering each plan and can refer to the system. This will reduce the time and labor required to consider a profit improvement plan.

Japanese Unexamined Patent Publication No. 2014-219770 Japanese Unexamined Patent Publication No. 9-305663

In the case of the plan formulation method as in Patent Document 1, it is possible to calculate the ideal order plan and production plan for achieving profits, but there is a problem that the degree of deviation from the realistic prospect is unknown. is there.

On the other hand, in the case of the plan formulation method as in Patent Document 2, each planner of the order receiving plan and the production plan can obtain the predicted value of the profit as a result by inputting the improvement plan. However, it is unclear for each planner which plan should be improved and how much to improve to obtain the final target profit, and the improvement plan and the confirmation of the profit outlook should be confirmed. There is a problem that there are cases where it is repeated many times.

That is, in order to achieve the target profit and to formulate a realistic order plan and production plan in a short time and with a small amount of labor, it is an issue to solve the problems of each of the above methods.

A preferred example of the production simulation apparatus of the present invention is an annual order plan that is the basis of an improvement plan based on a realistic business outlook, a base plan data DB that stores each data of the production plan, and a business order plan. , And the past actual data DB that collects the actual information for the production plan for multiple years and stores it for multiple years, the order plan that is the basis of the improvement plan, and the improvement plan created by partially changing the data of the production plan. The improvement plan data DB that stores a plurality of the improvement plan data DB, the order plan stored in the base plan data DB, and the improvement plan plan generation processing unit that randomly changes the production plan data to generate the improvement plan plan. An improvement plan that calculates evaluation points from the three viewpoints of improvement effect, improvement ease, and feasibility for each combination of the order plan stored in the improvement plan data DB and the improvement plan of the production plan. It is configured to include an evaluation processing unit.

Further, as another feature of the present invention, in the production simulation apparatus, the improvement plan draft generation processing unit has data representing sales and data representing the volume in the order plan stored in the base plan data DB. To generate an improvement plan for the order plan by making random changes to, and in the production plan stored in the base plan data DB, random changes are made to the data representing the number of steps and the data representing the number of members, and the number of members is increased. Along with the change, the total time and total cost data are changed to generate an improvement plan for the production plan, and the generated improvement plan is stored in the improvement plan data DB.

Further, as yet another feature of the present invention, in the production simulation apparatus, the evaluation processing unit of the improvement plan is totaled from the improvement plan stored in the improvement plan data DB as the evaluation process from the viewpoint of the improvement effect. Calculate the sales amount and the total annual cost, calculate the sales profit margin of the improvement plan, and similarly, the sales profit margin of the base plan from the order plan and the production plan stored in the base plan data DB. Is calculated, and the evaluation point is obtained by calculating the amount of improvement in the profit margin on sales of the improvement plan.

According to the present invention, the effect of improving the profit margin on sales is large, the change from the original order plan and the production plan is small, and the past results are obtained with respect to the order plan and the production plan generated based on the realistic forecast. Since it is possible to first obtain an improvement plan that is ranked in consideration of the three factors of whether or not it is within the range of feasible ability in comparison with the sales department in charge of order planning. For each manufacturing department in charge of production planning, it is possible to grasp improvement targets that are effective in improving profits, which can dramatically reduce the time and effort required for planning review.

This is an example of a configuration diagram of a production simulation device. It is a figure which shows the hardware composition of the production simulation apparatus. It is a figure which shows the configuration example of the base plan_order plan table. It is a figure which shows the configuration example of the base plan_production plan table. It is a figure which shows the composition example of the past performance_order plan table. It is a figure which shows the configuration example of the past performance_production plan table. It is a figure which shows the configuration example of the improvement plan_order plan table. It is a figure which shows the configuration example of improvement plan_production plan table. It is a figure which shows the structure example of improvement plan_evaluation result table. This is an example of a flowchart showing the processing of the improvement plan generation processing unit. This is an example of a flowchart showing the processing of the evaluation processing unit of the improvement plan. This is an example of a screen that displays the evaluation result of the improvement plan.

Hereinafter, examples of the invention will be described with reference to the drawings.

FIG. 1 is a block diagram of the production simulation apparatus 100. The production simulation device 100 includes a processing device 110, an input device 120, and an output device 130. The processing device 110 includes an improvement plan proposal generation processing unit 140, an improvement plan proposal evaluation processing unit 150, and an improvement plan proposal evaluation result output unit 190, and holds base plan information based on a realistic outlook. Base plan data DB 160 It is composed of a past performance data DB 170 that holds past performance information and an improvement plan data DB 180 that holds improvement plan information for the base plan.

The base plan data DB 160 holds the base plan_order plan table 161 and the base plan_production plan table 162, and the past record data DB 170 holds the past record_order plan table 171 and the past record_production plan table 172. The improvement plan data DB 180 holds an improvement plan_order plan table 181, an improvement plan_production plan table 182, and an improvement plan_evaluation result table 183.

FIG. 2 is a diagram showing a physical configuration of the production simulation apparatus 100 shown in FIG. In this embodiment, the production simulation device 100 uses a computer 200 having a processor (CPU) 201, a memory 202, an auxiliary storage device 203, and a communication interface (communication I / F) 204. As an example, this computer may be a general-purpose computer such as a personal computer (PC).

Processor 201 executes a program stored in memory 202. The computer 200 may have a plurality of processors 201. The memory 202 includes a ROM which is a non-volatile storage element and a RAM which is a volatile storage element. The ROM stores an invariant program (for example, BIOS) and the like. The RAM is a high-speed and volatile storage element such as a DRAM (Dynamic Random Access Memory), and temporarily stores a program executed by the processor 201 and data used when the program is executed.

The auxiliary storage device 203 is, for example, a large-capacity and non-volatile storage device such as a magnetic storage device (HDD) or a flash memory (SSD), and stores a program executed by the processor 201 and data used when executing the program. To do. That is, the program is read from auxiliary storage 203, loaded into memory 202, and executed by processor 201.

The communication interface 204 is a network interface device that controls communication with another device according to a predetermined protocol.

The computer 200 also has an input interface (input I / F) 205 and an output interface (output I / F) 208. The input interface 205 is an interface to which an input device 120 such as a keyboard 206 or a mouse 207 is connected and receives input from an operator. The output interface 208 is an interface to which an output device 130 such as a display device 209 or a printer is connected and outputs a program execution result in a format that can be visually recognized by an operator.

In this embodiment, each functional unit of the improvement plan proposal generation processing unit 140, the improvement plan proposal evaluation processing unit 150, and the improvement plan proposal evaluation result output unit 190 shall be implemented by software (program). .. The processor 201 of the computer 200 executes a program for realizing each functional unit, and operates as a device having each functional unit.

Further, the program executed by the processor 201 is provided to the computer 200 via a storage medium or network readable by the computer, and is stored in the auxiliary storage device 203, which is a non-temporary storage medium. The computer-readable storage medium is a non-temporary computer-readable medium, such as a non-volatile removable medium such as a CD-ROM or a flash memory. Therefore, the computer 200 may have an interface for reading data from removable media.

Further, as another embodiment, a part or all of each functional unit may be implemented by using hardware such as FPGA or ASIC.

FIG. 3 shows an example of the configuration of the base plan_order plan table 161. The base plan_order plan table 161 is an example of a data table that stores an order plan based on a realistic outlook for the relevant year of the plant piping business, which is organized by the year unit input via the input device 120 or the like. .. The data items in the data table are PJ name 161a given for each order, PJ_ID161b for PJ identification, customer type 161c as an example of information items showing the characteristics of the project, maintenance request item of the existing plant or installation of a new plant. Three items, PJ type 161d, which indicates the type of the requested project, and location type 161e, which indicates the plant installation area, year / month 161f, which is the year / month information of the plan, and order amount 161g, volume as an example of the planned sales information. As an example of the schedule information of, in the plant piping business, the volume is often expressed by the number of welds, so in this embodiment, at least the number of welds is 161 h.

FIG. 4 shows an example of the configuration of the base plan_production plan table 162. The base plan_production plan table 162 is a data table that stores a production plan based on a realistic outlook for the relevant year of the plant piping business, which is summarized in units of each year input via the input device 120 or the like. The production plan data stored in the base plan_production plan table 162 is independent and realistic prospect-based plan data regardless of the order plan data stored in the base plan_order plan table 161.

The data items in the base plan_production plan table 162 are the name of the department related to the production of the plant piping business 162a, the department for identifying the department_ID162b, the year / month 162c which is the date information of the plan, and the man-hour plan to be put into production. Information (man-hours are the number of people x hours required to perform net work such as product design and production, and are expressed in units such as people / months and people / hours). Man-hours 162d, put into production Resource information (the number of people represents the number of people if it is a person, the number of equipment if it is a facility. In this embodiment, it represents the number of people), the number of personnel 162e, the total time information calculated from the number of personnel and the calendar information (total) Hours refers to the total working hours, including the working hours of managers in addition to workers. Including the setup time before starting net work.) Total hours 162f, man-hours and material costs, etc. It holds at least 162g of total cost, which is the total cost information calculated from.

FIG. 5 shows an example of the configuration of the past performance_order planning table 171. The past record_order plan table 171 is a data table that stores the record information for the order plan of the plant piping business, which is input via the input device 120 or the like for each year. The data items in the data table are the same as in base plan_order planning table 161. That is, the PJ name 171a, the PJ_ID171b for PJ identification, the customer type 171c, the PJ type 171d, and the location type 171e as examples of information items representing the characteristics of the project, and the year / month 171f, which is the year / month information of the plan, Furthermore, as an example of the planned sales information, the order amount is 171 g, and as an example of the planned volume information, the number of welds is 171h.

FIG. 6 shows an example of the configuration of the past performance_production planning table 172. The past record_production plan table 172 is a data table that stores the record information for the production plan of the plant piping business, which is summarized in the year unit input via the input device 120 or the like, for a plurality of years. The data items in the data table are the same as in base plan_production plan table 162. That is, the name of the department related to production 172a, the department for identifying the department_ID172b, the year / month 172c which is the year / month information of the plan, the man-hours 172d which is the man-hour plan information to be put into production, and the number of personnel which is the resource information to be put into production. It holds at least 172e, total time 172f which is information of total time calculated from man-hours and calendar information, and total cost 172g which is total cost information calculated from man-hours and material cost.

FIG. 7 shows an example of the configuration of the improvement plan_order plan table 181. In the improvement plan_order plan table 181, among the order plan data for each year of the base plan_order plan table 161, each value of the order amount 161 g representing the sales amount and the number of welds 161h representing the volume is processed to generate the improvement plan plan. Part 140 randomly changes the order plan data for the relevant year as improvement plan information, and stores the order plan data for one year with the improvement plan ID as one set.

The data items in the improvement plan_order plan table 181 are the improvement plan ID181a for identifying the improvement plan, and the others are the same as the base plan_order plan table 161. PJ name 181b, PJ_ID181c for PJ identification, and information representing the characteristics of the project. As an example of items, there are three items, customer type 181d, PJ type 181e, and location type 181f, and the year and month 181g, which is the year and month information of the plan. Furthermore, as an example of the sales schedule information, the order amount 181h and the volume schedule information As an example of, at least the number of welds 181i is held.

FIG. 8 shows an example of the configuration of the improvement plan_production plan table 182. In the improvement plan_production plan table 182, among the annual production plan data of the base plan_production plan table 162, the values of the number of steps 162d, the number of personnel 162e, and the total time 162f are randomly selected by the improvement plan plan generation processing unit 140. The production plan data for the relevant year is generated as improvement plan information, and the production plan data for one year with the improvement plan ID is stored as one set.

The data items in the improvement plan_production plan table 182 are the improvement plan ID182a for identifying the improvement plan, and the others are the same as the base plan_production plan table 162, the name of the department related to production 182b, the department for identifying the department_ID182c, Year / month 182d, which is the year / month information of the plan, 182e, which is the manpower planning information to be put into production, 182f, which is the resource information to be put into production, and total time, which is the total time information calculated from the number of people and calendar information. It holds at least 182g, total cost 182h, which is total cost information calculated from the number of staff and material cost.

FIG. 9 shows an example of the configuration of the improvement plan_evaluation result table 183. The improvement plan_evaluation result table 183 stores the evaluation result information of the improvement plan information stored in the improvement plan_order plan table 181 and the improvement plan_production plan table 182 generated by the evaluation processing unit 150 of the improvement plan. It is a data table.

The improvement plan_evaluation result table 183 shows the improvement plan ID 183a for identifying the improvement plan, the amount of improvement in the profit margin on sales 183b that shows the prospect of how much the improvement plan improves the profit with respect to the base plan, and the improvement plan is realistic. Base plan change amount 183c, which indicates how much improvement is planned from the base plan, which is a clear outlook, feasibility 183d, which indicates whether the improvement plan is within the feasible range compared to past results, At least the total rank 183e, which is the comprehensive evaluation result information calculated from the sales profit margin improvement amount 183b, the base plan change amount 183c, and the feasibility 183d, is retained.

FIG. 10 shows an example of a flowchart of the improvement plan draft generation processing unit 140. Improvement plan generation process
In step S101, the improvement plan ID is initialized to 1, and the creation of the improvement plan information with the improvement plan ID = 1 is started.

In step S102, the order plan data for one year is read from the base plan_order plan table 161.
In step S103, an arbitrarily selected numerical value is randomly changed from each value of the order amount 161 g representing the sales amount and the number of welds 161h representing the volume. There are various ways to select the change target and to change the numerical value randomly, for example, to generate an improvement plan according to a predetermined change rule such as increase / decrease by 1%, but the method is not specified in this embodiment.

In step S104, the changed order plan data for each year is set as one set, an improvement plan ID is added, and the change plan is stored in the order plan table 181.

In step S105, the production plan data for one year is read from the base plan_production plan table 162, and the production plan data is read.
In step S106, an arbitrarily selected numerical value is randomly changed from each value of the man-hour 162d representing the man-hour and the man-hour 162e representing the total time. The method of selecting the change target and the method of randomly changing the numerical value are not specified in this embodiment.
Furthermore, the change value of the total time is calculated based on the calendar information (not shown) linked to the changed total time value and the changed total time value, and the unit price information and materials held separately from the changed total time value. Calculate the changed value of the total cost based on the cost information.

In step S107, the changed annual production plan data is set as one set, an improvement plan ID is added, and the changed production plan data is stored in the improvement plan_production plan table 182.

In step S108, it is determined whether the improvement plan ID has reached the planned number of m of the improvement plan generation, and if it has not been reached yet and is NO, the process proceeds to step S109 and the improvement plan ID is set to 1. Incrementing, the process proceeds to step S102, and the improvement plan generation process is repeated. If the improvement plan ID has reached the planned number of m of improvement plan generation, the improvement plan generation process is terminated.

FIG. 11 shows an example of a flowchart of the evaluation processing unit 150 of the improvement plan draft. In the evaluation process of the improvement plan, the comprehensive evaluation process is performed after evaluating the improvement plan from three different viewpoints.
In step S201, the initial value 1 is assigned to the control variable n representing the improvement plan ID.

In step S202, it is evaluated how much the improvement plan with the improvement plan ID = n improves the profit margin on sales with respect to the base plan. Specifically, the total sales amount is calculated by summing the order amount 181h of the improvement plan ID = n in the improvement plan_order plan table 181. Next, the total cost 182h of the improvement plan ID = n in the improvement plan_production plan table 182 is totaled to calculate the total annual cost. The profit margin on sales of the improvement plan is calculated by the formula (Equation 1).
(Number 1) (Profit margin on sales) = {(Total sales)-(Total annual cost)} ÷ (Total sales) x 100
Similarly, for the profit margin on sales of the base plan, the total sales amount is calculated by summing the orders received 161 g in the base plan_order plan table 161. Next, the total cost 162g of the base plan_production plan table 162 is totaled to calculate the total annual cost. The profit margin on sales of the base plan is calculated by the formula (Equation 1).
Then, the amount of improvement in the profit margin on sales of the improvement plan ID = n is calculated by subtracting the profit margin on sales of the base plan from the profit margin on sales of the improvement plan. Improvement plan_Evaluation result Store in the sales profit margin improvement amount 183b in table 183.

In step S203, it is evaluated how much the improvement plan with the improvement plan ID = n has changed with respect to the base plan. Specifically, the total value (annual order amount, annual number of welds) of the order amount 181h and the number of welds 181i of the improvement plan ID = n in the improvement plan_order plan table 181 is calculated. Similarly, the total value (annual order amount, annual number of welds) of the order amount 161 g and the number of welds 161h in the base plan_order plan table 161 is calculated.
Then, the amount of change in the order amount of the improvement plan with the improvement plan ID = n is calculated by the equation (Equation 2). Further, the amount of change in the number of welds in the improvement plan with the improvement plan ID = n is calculated by the equation (Equation 3).
The base plan change amount of improvement plan ID = n is calculated by the equation (Equation 4) and stored in the base plan change amount 183c of the improvement plan_evaluation result table 183.
(Number 2) (Change in order amount) = {(Improvement plan_Annual order amount)-(Base plan_Annual order amount)}
÷ (Base plan_Annual order amount) x 100
(Equation 3) (Change in number of welds) = {(Improvement plan_Annual number of welds)-(Base plan_Annual number of welds)}
÷ (Base plan_Annual number of welds) x 100
(Number 4) (Amount of change in base plan) = (Amount of change in order amount) + (Amount of change in number of welds)

Next, in steps S204 to S206, it is evaluated whether or not the improvement plan with the improvement plan ID = n is feasible by comparing with the past results. Here, in particular, the improvement plan and the past results are compared and evaluated with respect to the three capacity values of sales for unit volume, volume for unit man-hours, and man-hours for unit total time.

In step S204, the total value (annual order amount, annual number of welds) of the order amount 181h representing the sales of the improvement plan ID = n in the improvement plan_order plan table 181 and the number of welds 181i representing the volume is calculated. To do. The value of sales (value-added capacity) with respect to the unit volume of the improvement plan with the improvement plan ID = n obtained by dividing the annual order amount by the annual number of welds is calculated. Next, calculate the annual total value (annual order amount, annual number of welds) of the order amount 171g representing the sales of the past record_order planning table 171 and the welding number 171h representing the volume, and calculate the annual order amount annually. Calculate the value of sales relative to the unit volume of past results obtained by dividing by the number of welds.
Comparing the value of sales with respect to the unit volume of the improvement plan ID = n (value-added capacity) and the value of sales with respect to the unit volume of the past actual results, the value of the sales with respect to the unit volume of the past actual results If it is within the range of the minimum value and the maximum value, it is evaluated that the improvement plan with the improvement plan ID = n is feasible, and 1 point is added to the feasibility.

In step S205, the annual total value (annual number of welds) of the number of welds 181i representing the volume of improvement plan_order plan table 181 = n is calculated, and the improvement plan_improvement plan ID of the production plan table 182. = N Man-hours 182e Calculate the annual total value (annual man-hours) and divide the annual man-hours by the annual man-hours. Ability) is calculated.
Next, the annual total value (annual number of welds) of the number of welds 171h representing the volume of the past record_order plan table 171 is calculated, and the annual total value (annual man-hours) of the past record_production plan table 172 man-hours 172d. ) Is calculated, and a value representing the volume of the past actual unit man-hours obtained by dividing the annual welding number by the annual man-hours is calculated.
Comparing the value representing the volume for the unit man-hours of the improvement plan with the improvement plan ID = n (productivity capacity) and the value representing the volume for the unit man-hours of the past results, the value representing the volume for the unit man-hours of the past results If it is within the range of the minimum value and the maximum value, it is evaluated that the improvement plan with the improvement plan ID = n is feasible, and 1 point is added to the feasibility.

In step S206, the annual total value (annual man-hours, annual total hours) of the improvement plan ID = n man-hours 182e and the total time 182 g in the improvement plan_production plan table 182 is calculated, and the annual man-hours are calculated as the annual total hours. The value of man-hours for the unit total time of the improvement plan with the improvement plan ID = n obtained by division is calculated.
Next, the past obtained by calculating the annual total value (annual man-hours, annual total hours) of the man-hours 172d and the total time 172f of the past actual results_production plan table 172 and dividing the annual man-hours by the annual total hours. Calculate the value of man-hours for the actual unit total time.
Comparing the man-hour value for the unit total time of the improvement plan with the improvement plan ID = n and the man-hour value for the unit total time of the past actual result, the minimum value and the maximum value of the man-hour value for the unit total time of the past actual result. If it is within the range of, it is evaluated that the improvement plan with the improvement plan ID = n is feasible, and 1 point is added to the feasibility.

In step S207, the point value of the feasibility added in steps S204 to S206 is stored in the feasibility 183d of the improvement plan_evaluation result table 183.

In step S208, it is determined whether the control variable n is equal to the maximum number m of the improvement plan, and if it is not equal yet and is NO, the process proceeds to step S209 and increments by 1 to n. , Step S202 and repeat the evaluation process of the improvement plan. If n is equal to the maximum number of m of the improvement plan, the process proceeds to step S210.

In step S210, a comprehensive evaluation is performed from the results of each evaluation in steps S202 to S206. Specifically, the sales profit margin improvement amount 183b, the base plan change amount 183c, and the feasibility 183d of all the improvement plan IDs are read from the improvement plan_evaluation result table 183, and the order of high feasibility is given top priority. Next, all the improvement plans are sorted in the order of the highest profit margin improvement amount, and finally the lowest base plan change amount, and the results are stored in the overall rank 183e. Then, the evaluation process of the improvement plan is completed.

FIG. 12 is an example of a screen in which the improvement plan proposal evaluation result output unit 190 displays the improvement plan evaluation result on the display device 209 on a 3-axis radar chart.

When the user specifies the year of the target plan and the improvement plan rank to be displayed on the screen, the general condition of the corresponding improvement plan is displayed. In the three-axis radar chart, the improvement plan_evaluation result table 183 shows the sales profit margin improvement amount 183b as the improvement effect, and the improvement plan_evaluation result table 183 shows the base plan change amount 183c as the improvement degree. It is a screen example showing the feasibility 183d from the improvement plan_evaluation result table 183 as the feasibility.
Improvement plan proposal With the user interface provided by the evaluation result output unit 190, there is a profit improvement plan that has a high improvement effect, a small amount of change from the base plan, and is highly feasible compared to past results, and its contents. Can be grasped.

100 ... Production simulation device, 110 ... Processing device, 120 ... Input device, 130 ... Output device, 140 ... Improvement plan proposal generation processing unit, 150 ... Improvement plan proposal evaluation processing unit, 160 ... Base plan data DB, 161 ... Base Plan_Order planning table, 162 ... Base plan_Production planning table, 170 ... Past performance data DB, 171 ... Past performance_Order planning table, 172 ... Past performance_Production planning table, 180 ... Improvement plan data DB, 181 ... Improvement Plan_Order plan table, 182 ... Improvement plan_Production plan table, 183 ... Improvement plan_Evaluation result table, 190 ... Improvement plan proposal evaluation result output unit,
200 ... Computer, 201 ... Processor (CPU), 202 ... Memory, 203 ... Auxiliary storage device, 204 ... Communication interface (Communication I / F), 205 ... Input interface (Input I / F), 206 ... Keyboard, 207 ... Mouse , 208 ... Output interface (output I / F), 209 ... Display device

Claims (7)

A base plan data DB that stores each data of the annual order plan and production plan, which is the base of the improvement plan based on the realistic outlook of the business.
A past performance data DB that collects performance information for business order plans and production plans for multiple years and stores them.
An improvement plan data DB that stores a plurality of improvement plans created by partially modifying the order plan and production plan data that are the basis of the improvement plan, and
An improvement plan generation processing unit that generates an improvement plan by randomly changing the order plan and production plan data stored in the base plan data DB.
An improvement plan that calculates evaluation points from the three viewpoints of improvement effect, improvement ease, and feasibility for each combination of the order plan stored in the improvement plan data DB and the improvement plan of the production plan. Evaluation processing department and
A production simulation device characterized by being equipped with. The improvement plan generation processing unit
In the order plan stored in the base plan data DB, data representing sales and data representing volume are randomly changed to generate an order plan improvement plan.
In the production plan stored in the base plan data DB, the data representing the number of manpower and the data representing the number of personnel are randomly changed, and the total time and total cost data are changed according to the change in the number of personnel. Generate an improvement plan for
The production simulation apparatus according to claim 1, wherein the generated improvement plan is stored in the improvement plan data DB. The evaluation processing unit of the improvement plan is as an evaluation process from the viewpoint of improvement effect.
The total sales amount and the annual total cost are calculated from the improvement plan plan stored in the improvement plan data DB, the sales profit margin of the improvement plan plan is calculated, and similarly stored in the base plan data DB. The production according to claim 1, wherein the evaluation points are obtained by calculating the sales profit margin of the base plan from the order receiving plan and the production plan and calculating the sales profit margin improvement amount of the improvement plan. Simulation equipment. The evaluation processing unit of the improvement plan is as an evaluation process from the viewpoint of ease of improvement.
The percentage of the amount of change in the data representing the annual sales of the improvement plan and the data representing the trading volume is compared with the data representing the annual sales and the trading volume of the base plan. The production simulation apparatus according to claim 1, wherein an evaluation point is obtained by calculating a base plan change amount obtained by calculating in 1 and adding the result. The evaluation processing unit of the improvement plan is evaluated as evaluation processing from the viewpoint of feasibility.
Judgment processing of whether the sales value for the unit volume of the improvement plan is within the range of the minimum and maximum values of the sales value for the unit volume of the past actual results,
Judgment processing of whether the value representing the volume for the unit man-hours of the improvement plan is within the range of the minimum and maximum values representing the volume for the unit man-hours of the past results, and the man-hours for the total unit time of the improvement plan The first aspect of claim 1 is to calculate the feasibility by determining whether the value of is within the range of the minimum value and the maximum value of the man-hour value with respect to the unit total time of the past actual result. The production simulation device described. The evaluation processing unit of the improvement plan plan calculates the sales profit margin improvement amount, the base plan change amount, and the feasibility for each improvement plan plan stored in the improvement plan data DB, and the improvement plan data. The production simulation apparatus according to claim 1, wherein the product is stored in the DB, and the overall rank of each improvement plan is calculated based on those values and stored in the improvement plan data DB. Further equipped with an improvement plan evaluation result output unit
The improvement plan evaluation result output unit displays the user interface on the output device, receives the year of the target plan from the user and the overall rank of the improvement plan to be displayed, and receives the overall rank of the improvement plan specified by the user. The feature is that the data is read from the improvement plan data DB, and the general condition of the improvement plan is displayed by a three-axis radar chart centered on the sales profit margin improvement amount, the base plan change amount, and the feasibility. The production simulation apparatus according to claim 6.

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