JP2020160602A - Management indicator evaluation device, management indicator evaluation method, and program - Google Patents

Abstract

To provide a management indicator evaluation device, a management indicator evaluation method, and a program which execute management simulation based on a highly feasible production plan.SOLUTION: In a management indicator evaluation system 9, a management indicator evaluation device 1 comprises: a database 2 which manages financial information including cost information required for each of a plurality of processes for production of a production object, which is included in reference process information defining process information of each of the plurality of processes; a production plan acquisition unit 31 which is configured to acquire a production plan resulting from executing production scheduling of the production object, on the basis of the reference process information of the production object to be produced during an evaluation period for a management indicator; and a management indicator calculation unit 4 which is configured to acquire financial information about the plurality of processes included in the reference process information of the production object from the database on the basis of the production plan and calculate a management indicator during the evaluation period.SELECTED DRAWING: Figure 1

Description

This disclosure relates to the evaluation of management indicators.

Conventionally, production scheduling (limited capacity scheduling) for formulating a production plan of a product in consideration of restrictions on resources available for production has been known (see Patent Documents 1 to 4). For example, in Patent Document 1, if a demand forecast is made for each predetermined period and information on the quantity to be produced and the resources / capacity of production is given as input, various restrictions such as equipment, personnel, and quality are restricted. A production scheduling system that outputs a daily production schedule that satisfies the conditions is disclosed.

In addition, there is known a management simulation that creates a cost recording model that predicts the future of manufacturing costs from past results and calculates management indicators (see Patent Documents 5 to 6). For example, in Patent Document 5, financial data for the past predetermined years of a company and external environmental data of the company including current or expected interest rates and tax rates are input to simulate corporate management in a predetermined period in the future. Management simulation that calculates future financial data of the company by inputting the necessary and sufficient financial items and simulation conditions including the values of financial items calculated according to the company's performance and referring to the financial data calculation rule module. The system that executes is disclosed.

Japanese Unexamined Patent Publication No. 2006-20038 Japanese Unexamined Patent Publication No. 2013-250713 Japanese Unexamined Patent Publication No. 2011-65626 Japanese Patent Application Laid-Open No. 2017-514247 Japanese Patent No. 6363740 Japanese Unexamined Patent Publication No. 2001-125962

The number of persons in charge of examining and evaluating improvement measures (cost reduction, lead time shortening, etc.) necessary to achieve management goals is based on the assumption of various external environments (exchange rates, demand fluctuations, etc.) that cannot be managed. It is necessary to estimate the financial improvement effect of implementing various measures for the future and propose the optimum improvement measures. However, since the management simulation based on the above-mentioned cost recording model does not consider resource constraints (production feasibility based on work man-hours), it may be difficult to actually realize the improvement measures selected based on the results. is there. In addition, when it is difficult to implement all various measures due to funds, time, etc., it takes a lot of time to derive a combination of measures that can achieve the goals of the management index and to derive the optimal combination of measures. This is one of the factors that make it difficult to make appropriate management decisions and decisions.

In view of the above circumstances, at least one embodiment of the present invention aims to provide a management index evaluation device that executes a management simulation based on a highly feasible production plan.

(1) The management index evaluation device according to at least one embodiment of the present invention is
A database that manages financial information including cost information required for each of the plurality of processes included in the reference process information that defines process information of each of a plurality of processes required for production of a production object, and a database.
With the production plan acquisition unit configured to acquire the production plan obtained by executing the production scheduling of the production object based on the reference process information of the production object produced in the evaluation period of the management index. ,
Based on the production plan, the management configured to acquire the financial information about the plurality of processes included in the reference process information of the production target from the database and calculate the management index in the evaluation period. It is equipped with an index calculation unit.

According to the configuration of (1) above, the reference process information of the production object is associated with financial information for each process such as design and manufacturing that the reference process information has, and a plurality of production objects. Based on the production plan obtained as a result of executing production scheduling based on each reference process information, management indicators such as gross profit, cash flow, CCC (Cash Conversion Cycle), and number of personnel are calculated. The production plan generated by the production scheduling is generated under the constraint of resources by the people and machines involved in the production. In addition, the production plan defines the start and end of each process. Therefore, by calculating the management index based on the production plan and the financial information for each process, it is possible to more accurately obtain the management index corresponding to the realistic production plan that satisfies the resource constraint.

(2) In some embodiments, in the configuration of (1) above,
Further, a scenario acquisition unit configured to acquire a plurality of scenarios in which the external environment conditions in the evaluation period are defined is further provided.
The management index calculation unit calculates the management index for each of the plurality of scenarios based on the external environmental conditions defined in each of the plurality of scenarios.

According to the configuration of (2) above, for example, a scenario that defines conditions (external environmental conditions) such as exchange rates assumed during the evaluation period, material prices, selling prices, and the number of orders for each production object is assumed outside. Prepare multiple environmental conditions and calculate management indicators according to each scenario. As a result, the management index corresponding to each of the plurality of scenarios can be calculated.

(3) In some embodiments, in the configurations (1) to (2) above,
Regarding a plurality of measure information including adjustment information for adjusting the registered value of the reference process information or the attribute information included in the financial information, which can change the calculation result of the management index, each of the measures The measure combination acquisition department that acquires at least a part of all combinations based on whether or not measures corresponding to information are implemented,
For each of the plurality of acquired combinations, a measure for correcting the value of the attribute information in the reference process information or the financial information based on the adjustment information of the measure information corresponding to the measure for which the implementation is performed. With a reflection part,
The management index calculation unit calculates the management index based on the production plan and the financial information generated according to each of the plurality of combinations.

According to the configuration of (3) above, if there are multiple measures such as management indicators and improvement measures to improve management indicators such as lead time for each process, the criteria will be changed by the implementation of each measure. Introduce measure information that defines how attribute information contained in process information or financial information is changed. At the same time, a plurality of combinations are acquired according to whether or not each of the plurality of measures is implemented, and based on the measure information (adjustment information) of one or more measures that are considered to be implemented in each combination, the reference process information or the reference process information or After modifying the attribute information included in the financial information, the management index corresponding to each combination is calculated. As a result, it is possible to obtain a management index when each measure is implemented, and it is possible to quantitatively obtain a prediction effect depending on whether or not each measure is implemented. Therefore, it is possible to seek feasible improvement measures that are effective in achieving the goals of management index I. In addition, since the measures decided to be implemented in this way correspond to the specific contents of the measures, the work for applying the measures to be carried out at the site level is clarified, and the effect of the implementation is appropriately reflected. It is possible to obtain a more accurate management index.

(4) In some embodiments, in the configuration of (3) above,
A sensitivity analysis unit configured to discriminate at least one category of the attribute information having a relatively high contribution to the calculated value of the management index from the plurality of the attribute information is further provided.
The measure combination acquisition unit acquires some of the combinations including the measure for adjusting the attribute information classified into the determined category among all the combinations.

Since the number of combinations based on the implementation or non-implementation of each measure that changes the attribute information is 2 ⁿ depending on the number of measures (n), the management index is used for all adjustment conditions (2 ⁿ ). It takes time to calculate according to the number of calculations.

According to the configuration of (4) above, when the attribute information is classified into categories such as attributes that affect the lead time, attributes that affect the number of employees, and attributes that affect the in-house production rate, it is used as a management index. In addition to discriminating the categories that are highly affected by, narrow down the combinations for which management indicators are calculated to those that are considered to have measures to adjust the attribute information classified into the discriminated categories. As a result, the calculation of the management index I can be performed by focusing on the combinations that are effective for adjusting the management index, without targeting all the combinations depending on the presence or absence of the implementation of multiple measures, which is optimal. You can seek improvement measures more quickly.

(5) In some embodiments, in the configurations (1) to (4) above,
The financial information further includes deposit and withdrawal conditions including at least one of the deposit and withdrawal timings for each of the plurality of steps.
The management index calculation unit calculates the management index related to deposits and withdrawals in accordance with the deposit and withdrawal conditions.

According to the configuration of (5) above, the financial information includes deposit / withdrawal conditions for each process, and a management index such as cash flow is calculated based on the deposit / withdrawal conditions. When the components of the production object are procured from the outside, the withdrawal time of the cost to be paid to the business partner and the payment time of the selling price paid from the purchaser of the production target differ depending on the business partner and the purchaser. In some cases. Therefore, since the deposit / withdrawal conditions are associated with each process, the timing of deposit and the timing of withdrawal can be determined based on the production plan in which the implementation time of each process is determined. Therefore, by calculating cash based on the timing of deposits and withdrawals, it is possible to more accurately obtain management indicators related to deposits and withdrawals such as cash flow and CCC.

(6) In some embodiments, in the configurations (1) to (5) above,
The production plan acquisition unit advances the delivery date of the production object to the delay cost due to the delivery delay in the first production plan in which the delivery date of the production object is delayed, and the delivery date of the production object ahead of the first production plan. 2 By selecting the production plan from the first production plan and the second production plan based on the result of comparison with the sum of the delay cost in the production plan and the additional cost required to advance the delivery date. Acquire the production plan.

When a delivery delay occurs, a penalty (delay cost) to be paid to the delivery destination of the production object may occur as a penalty for the delay. On the other hand, in order to prevent such delays in delivery, countermeasures such as outsourcing rate, increase in resources such as people and equipment, and early start of production can be considered, but such countermeasures are delays in response to delays in delivery. While it is possible to reduce costs, additional costs will be required depending on the content of the countermeasures.

According to the configuration of (6) above, the production plan in which the delivery date is delayed (first production plan) and the production plan in which the delivery date of the production object is advanced compared to the first production plan by the above countermeasures (second production plan). One of the production plans is selected based on the comparison of the sum of the delay cost and the additional cost for each with the production plan). This makes it possible to select a production plan with a smaller total cost.

(7) In some embodiments, in the configuration of (6) above,
The second production plan is
Advance the production start time of the production object with respect to the first production plan, increase the outsourcing rate with respect to the first production plan, or the time of workers engaged in the production of the production object with respect to the first production plan. Includes at least one measure to increase outside labor.

According to the configuration of (7) above, the second production plan is a production plan by implementing at least one of a plurality of measures. As a result, when the total cost of the second production plan is lower than the total cost of the first production plan, the measures that should actually be implemented (shortening period, advance period, presence / absence of outsourcing, overtime work and holiday work increase cost) Can be selected appropriately.

(8) The management index evaluation method according to at least one embodiment of the present invention is
A production plan obtained by executing the production scheduling of the production object based on the reference process information that defines the process information of each of the plurality of processes required for the production of the production object produced in the evaluation period of the management index. With the production plan acquisition steps configured to acquire
Based on the production plan, financial information including cost information about the plurality of processes included in the reference process information of the production object is obtained, and the cost required for each of the plurality of processes included in the reference process information. It includes a management index calculation step configured to acquire the management index including the information from a database that manages the financial information and calculate the management index in the evaluation period.
According to the configuration of the above (8), the same effect as the above (1) is obtained.

(9) The management index evaluation program according to at least one embodiment of the present invention is
On the computer
A database that manages financial information including cost information required for each of the plurality of processes included in the reference process information that defines process information of each of a plurality of processes required for production of a production object, and a database.
With the production plan acquisition unit configured to acquire the production plan obtained by executing the production scheduling of the production object based on the reference process information of the production object produced in the evaluation period of the management index. ,
Based on the production plan, the management configured to acquire the financial information about the plurality of processes included in the reference process information of the production target from the database and calculate the management index in the evaluation period. It is a program to realize the index calculation unit.
According to the configuration of (9) above, the same effect as that of (1) above is obtained.

According to at least one embodiment of the present invention, there is provided a management index evaluation device that executes a management simulation based on a highly feasible production plan.

It is a figure which shows roughly the structure of the management index evaluation system provided with the management index evaluation apparatus which concerns on one Embodiment of this invention. It is a figure which shows the logical structure of the database which concerns on one Embodiment of this invention. It is a figure which shows the output example of the management index which concerns on one Embodiment of this invention, is (a) gross profit, (b) cash flow. It is a figure which shows the scenario which concerns on one Embodiment of this invention. It is a figure which shows the measure information which concerns on one Embodiment of this invention. It is a figure which shows the combination C depending on whether or not a plurality of measures which concerns on one Embodiment of this invention are implemented. It is a figure which shows the result of the sensitivity analysis which concerns on one Embodiment of this invention. It is a figure which shows schematicly the production plan acquisition part which concerns on one Embodiment of this invention. It is a figure for demonstrating the cost evaluation method which concerns on one Embodiment of this invention. It is a figure which shows the management index evaluation method which concerns on one Embodiment of this invention. It is a figure which shows the flow until the acquisition of the plurality of production plans which concerns on one Embodiment of this invention.

Hereinafter, some embodiments of the present invention will be described with reference to the accompanying drawings. However, the dimensions, materials, shapes, relative arrangements, etc. of the components described as embodiments or shown in the drawings are not intended to limit the scope of the present invention to this, but are merely explanatory examples. Absent.
For example, expressions that represent relative or absolute arrangements such as "in a certain direction", "along a certain direction", "parallel", "orthogonal", "center", "concentric" or "coaxial" are exact. Not only does it represent such an arrangement, but it also represents a state of relative displacement with tolerances or angles and distances to the extent that the same function can be obtained.
For example, expressions such as "same", "equal", and "homogeneous" that indicate that things are in the same state not only represent exactly the same state, but also have tolerances or differences to the extent that the same function can be obtained. It shall also represent the state of existence.
For example, an expression representing a shape such as a quadrangular shape or a cylindrical shape not only represents a shape such as a quadrangular shape or a cylindrical shape in a geometrically strict sense, but also an uneven portion or chamfering within a range in which the same effect can be obtained. The shape including the part and the like shall also be represented.
On the other hand, the expressions "equipped", "equipped", "equipped", "included", or "have" one component are not exclusive expressions that exclude the existence of other components.

FIG. 1 is a diagram schematically showing a configuration of a management index evaluation system 9 including a management index evaluation device 1 according to an embodiment of the present invention. As shown in FIG. 1, the management index evaluation system 9 includes a production scheduler 8 and a management index evaluation device 1.

The production scheduler 8 executes production scheduling (finite capacity scheduling) of one or more production objects T to be produced, and generates a production plan P. More specifically, in the production scheduling, the execution time of each process of one or more production objects T produced through a plurality of processes is determined by the number of personnel who can be engaged in production and the equipment (machine) that can be used. While satisfying the constraint conditions (resource constraints) caused by the information related to the resources stored (registered) in advance such as the number and capacity, for example, the lead time of the entire production (total period of the production plan P) is shortened. , Determine for efficient production. That is, by executing the production scheduling, the production plan P in which a plurality of processes are sequentially or in parallel on the time axis is generated within the range satisfying the resource constraint.

On the other hand, the management index evaluation device 1 calculates the management index I according to the production plan P generated by the production scheduler 8. The management index I is an index related to management affected by the production of the production object T, and may include, for example, at least one of sales, gross profit, cash flow, and CCC (Cash Conversion Cycle). As shown in FIG. 1, the production plan P generated by the production scheduler 8 is input to the management index evaluation device 1, and the management index evaluation device 1 manages when the production plan P is input. The calculation of the index I is started. That is, the production scheduling by the production scheduler 8 is linked to the management simulation by the management index evaluation device 1.

Hereinafter, the management index evaluation device 1 will be described with reference to FIGS. 1 to 3.
FIG. 2 is a diagram showing a logical structure of a database 2 according to an embodiment of the present invention. Further, FIG. 3 is a diagram showing an output example of the management index I according to the embodiment of the present invention, which is (a) gross profit and (b) cash flow.

As shown in FIG. 1 (the same applies to FIG. 8 described later), the management index evaluation device 1 includes a database 2 for managing financial information F, a production plan acquisition unit 31, and a management index calculation unit 4. Each of these configurations will be described.

The management index evaluation device 1 (the same applies to the production scheduler 8) is composed of, for example, a computer, and includes a CPU (processor) (not shown), a memory such as a ROM or RAM, and a storage device such as an external storage device. Then, the CPU operates (data calculation, etc.) according to the instructions of the program (management index evaluation program, production scheduler program) loaded in the main storage device, and operates. The management index evaluation program and the production scheduler program may be operated on different computers (OS: Operating System), or may be operated on the same computer.

In addition, various tables described later form, for example, a logical structure in a relational database and store values of a plurality of attribute information (information fields), but the table structure in the following explanation is an example. What kind of table manages various kinds of information is arbitrary. Further, various tables may be managed on the same database or may be managed on different databases. Further, it may be stored in a storage device m such as an external storage device of the management index evaluation device 1, or may be stored in a storage device of another device.

The database 2 (financial information database) includes financial information F including cost information Fc required for each of the plurality of processes included in the reference process information B that defines the process information of each of the plurality of processes required for the production of the production object T. It is a database that manages. The production object T may correspond to one product or may include a plurality of products. This product may be, for example, an aircraft, a gas turbine, a boiler, a transportation system, an air conditioner, a wind turbine, or the like. For example, in the case of a gas turbine combined cycle (GTCC), the production object T may include a plurality of products such as a gas turbine, a waste heat recovery boiler, and a steam turbine constituting the GTCC, and each of these products may be included. May correspond to. That is, the production object T may correspond to the order of the customer who purchases the production object T.

In addition, each process information includes information necessary for production scheduling by the production scheduler 8 for each process such as design, manufacturing, procurement, and service. Specifically, as shown in FIG. 2, the process information includes information indicating the lead time of the process, the department information (department ID) for executing the process, and the process order (contextual relationship) with other processes (non-conformity). (Fig.) May have. In addition, when the external production process is carried out externally or when parts to be manufactured are purchased from the outside, the lead time is the period required for carrying out the external production process such as the period from ordering to acceptance. This external production process is a process that can be carried out without consuming resources (other than costs) used for internal production, and the purchase price is paid for the deliverables of the external production process as described later. You will need it. Although details are omitted, the department ID is associated with department information (personnel and machine information). In addition, when the order of individual processes of the in-house production process, whether or not the processes can be executed in parallel, or when a certain in-house production process is carried out using the deliverables of the external production process, etc. There are restrictions on arranging each process on the time axis, such as having to wait for the completion of the external production process before performing the in-house production process.

In the embodiment shown in FIG. 2, each process information corresponds to a product and a set of processes. This is because even if there are similar processes (for example, painting process) in the production of different types of production object T such as different models, the cost may be different if the production object T is different. , Cost information Fc is associated with the process for each type of production object T. As a result, if the production object T is specified, the cost information Fc of each process required for the production can be obtained from the financial information table.

In addition, the in-house process such as design and processing carried out internally (in-house) and the external work process carried out outside (outside) are managed in separate tables and related by the process ID. In addition to the lead time, the external production process table T2 has a business partner ID field that specifies a business partner instead of the department ID of the internal production process table T1. It also has information fields for the unit price (purchased product unit price) of the deliverables (parts, processed parts, etc.) of the external production process, the quantity of deliverables (purchased product quantity), and the currency code. Cost information Fc to do.

In some embodiments, the reference process information B including a plurality of process information defines a plurality of processes normally required for product production for each product type (for each model, etc.). Standard process information) may be used. In this way, if the product is specified, the standard process information predetermined according to the type of the product is specified, so that the reference process information B corresponding to the production object T can be easily obtained. For example, when the production target T is composed of a plurality of products, the reference process information B of the production target T can be easily obtained by combining the reference process information B of each product. In the embodiment shown in FIG. 1, the reference process information B is managed by the reference process information database 22.

On the other hand, the above-mentioned cost information Fc is information for obtaining the cost required in each process of the arbitrary production object T. More specifically, the cost information Fc includes information for obtaining costs such as labor costs (design, manufacturing, etc.), department costs, purchase costs, and material costs (material costs) recorded in manufacturing costs. Specifically, as shown in FIG. 2, the cost information Fc contains the resource type (person, equipment type, etc.) for executing each process and the man-hours (resource type x time (H)) when the resource type is used. ) Etc.) (see the process man-hour table T3 in FIG. 2). Personnel costs and department costs can be calculated by multiplying the man-hours by the unit price (rate) per man-hour for each resource type. The personnel expenses and department expenses themselves may be registered. In addition, in each process, when purchasing the materials (materials) to be used or outsourcing the processing of some materials and purchasing the deliverables, the cost information Fc is the unit price and purchase quantity of the purchased products. (See the external production process table T2 in FIG. 2). Further, by including the currency information in the cost information Fc, it is possible to calculate the cost more accurately in consideration of the exchange rate (see the external production process table T2 in FIG. 2). Therefore, the total cost for each process can be obtained by summing the cost based on the man-hours associated with each process and the purchase price (unit price x quantity).

In the embodiment shown in FIG. 2, each primary key of the in-house process table T1 and the process man-hour table T3 for managing the financial information F is a type and a set of processes of the production object T, and the primary key is used. Both tables are associated. In addition, regarding the external production process, the process information and the financial information F are managed in the same table, but for example, the financial information F such as the purchased product ID, the purchased product unit price, the purchased product quantity, the currency code, and the customer ID. May be extracted and managed in another table. In this case, this other table is associated with the external production process table T2 by the purchased product ID.

The production plan acquisition unit 31 is obtained by executing the production scheduling of the production target T based on the reference process information B of the production target T (one or more products) produced in the evaluation period of the management index I. It is a functional unit configured to acquire the production plan P. The evaluation period may be a desired period, for example, a period of one year or more. In the embodiment shown in FIG. 1, the production scheduler 8 executes the production scheduling, and the production plan acquisition unit 31 acquires the production plan P by inputting the production plan P obtained as a result. There is.

Based on the production plan P acquired by the production plan acquisition unit 31 described above, the management index calculation unit 4 obtains financial information F for a plurality of processes included in the reference process information B of the production object T from the database 2. It is a functional unit configured to acquire and calculate the management index I in the evaluation period. In other words, the management index calculation unit 4 executes the management simulation based on the production plan P and the financial information F.

In the production plan P, a plurality of processes required for the production of the production object T (1 or more) produced in the evaluation period are arranged on the time axis while satisfying the resource constraint. Therefore, in consideration of external environmental conditions (exchange rate, demand fluctuation, etc.) that cannot be managed, the cost information Fc required for each process is set along the time axis for each unit period such as year, quarter, month, and day. By accumulating (totaling), it is possible to obtain cost forecasts such as costs and total costs for each unit period in the evaluation period. Therefore, it is possible to calculate the management index I based on the cost forecast obtained in this way. For example, in the case of gross profit, the sales are calculated based on the sales amount of each production object T, and the cost of sales is calculated by subtracting the labor cost from the cost forecast. Then, the gross profit can be calculated by subtracting the cost of sales from the sales. Cash flow can also be calculated based on cost forecasts along the time axis.

Therefore, the person in charge of considering and evaluating the improvement measures (cost reduction, lead time shortening, etc.) necessary to achieve the management goal is feasibility considering resource constraints under various external environments (exchange rate, demand fluctuation, etc.). As will be described later, it is possible to estimate the financial improvement effect of various measures based on the high production plan P. In the embodiment shown in FIGS. 1 to 3, the management index calculation unit 4 is connected to the display 91, and the values of the plurality of management indicators I for each year (by unit period) and the values of the management indicators I. The transition by unit period (Fig. 4) is displayed.

According to the above configuration, the reference process information B of the production object T is associated with the financial information F for each process such as design and manufacturing that the reference process information B has, and a plurality of production objects. Based on the production plan P obtained as a result of executing production scheduling based on each reference process information B, for example, gross profit, cash flow, CCC (Cash Conversion Cycle), number of personnel, and other management indicators I are calculated. .. The production plan P generated by the production scheduling is generated under the constraint of resources by the people and machines involved in the production. Further, in the production plan P, the start and end of each process are defined. Therefore, by calculating the management index I based on the production plan P and the financial information F for each process, the management index I corresponding to the realistic production plan P satisfying the resource constraint can be obtained more accurately.

In some embodiments, as shown in FIG. 1, the above-mentioned management index evaluation device 1 acquires a plurality of scenarios S (see FIG. 4) each defining external environmental conditions in the evaluation period of the above-mentioned management index I. A scenario acquisition unit 32 configured to do so may be further provided. Then, the management index calculation unit 4 described above calculates the management index I for each of the plurality of scenarios S based on the external environmental conditions defined in each of the plurality of scenarios S.

FIG. 4 is a diagram showing a scenario S according to an embodiment of the present invention. External environmental conditions are environmental conditions that cannot be changed by the company or business partners and that there is no room for control. For example, the external environmental condition may include an assumed value of at least one index such as a foreign exchange rate (yen / dollar, etc.), a material price, a selling price, and the number of orders received for each production target T. Further, the external environmental condition defined in the scenario S may be for the entire evaluation period, or may be a transition for each unit period in the evaluation period.

In the embodiment shown in FIG. 4, the external environmental conditions include the conditions of demand, exchange rate, and material cost (material cost). Then, a plurality of scenarios S in which at least one condition is different from each other are prepared, and the management index I is calculated for each of them. The scenario S is stored in the storage device m of the management index evaluation device 1 (see FIG. 1).

According to the above configuration, for example, scenario S that defines conditions (external environmental conditions) such as exchange rates assumed during the evaluation period, material prices, selling prices, and the number of orders for each production object is assumed to be external environmental conditions. Are prepared, and the management index I corresponding to each scenario S is calculated. As a result, the management index I corresponding to each of the plurality of scenarios S can be calculated.
However, the present invention is not limited to this embodiment, and in some other embodiments, the scenario acquisition unit 32 may acquire one or more scenario S.

Next, an embodiment relating to the evaluation of measures (improvement measures) necessary for achieving the management goal will be described with reference to FIGS. 5 to 7.
FIG. 5 is a diagram showing measure information M according to an embodiment of the present invention. FIG. 6 is a diagram showing a combination C depending on whether or not a plurality of measures according to an embodiment of the present invention are implemented. Further, FIG. 7 is a diagram showing the result of sensitivity analysis according to the embodiment of the present invention.

Traditionally, lead times have been shortened and costs have been reduced by implementing improvement measures proposed by those involved in production. For example, if the performance of a machine is improved by a certain measure, the productivity in the process of using the machine is improved, and the lead time can be shortened. Furthermore, there are cases where the cost reduction effect of the process can be obtained, such as the reduction of the number of personnel involved in the implementation of the process and the possibility of manufacturing with fewer materials. In addition, if the outsourcing of the process that was carried out in-house or the parts manufactured in the process are purchased from the outside, the outsourcing cost and the purchase cost will increase, but the resources will be distributed to other processes. It may be possible to obtain the effect of shortening the overall lead time of the production plan P. In addition, if the payment timing can be changed through negotiations with business partners, the production plan P may not be affected, but the management index I such as cash flow may be improved.

When formulating the production plan P after the implementation of such measures, it is necessary to consider the effects of the measures. Specifically, the attribute information of the reference process information B and the financial information F will be modified according to the situation after the implementation of the measure. That is, the implemented measures can be reflected in the production scheduling and the management simulation by modifying the reference process information B and the financial information F accordingly. Therefore, by defining the expected effect of the measure, modifying the attribute information that the measure affects according to this expected effect, and then generating the production plan P and calculating the management index I, the measure gives it to the management index I. Evaluate the expected effect.

Specifically, in some embodiments, as shown in FIG. 1, the management index evaluation device 1 is included in the reference process information B or the financial information F, which can change the calculation result of the management index I. Whether or not measures corresponding to each measure information M are implemented for a plurality of measure information M including adjustment information Mt (see FIG. 5) for adjusting the registered value (registered value in the database) of specific attribute information. For each of the measure combination acquisition unit 51 that acquires at least a part (see FIG. 6) of all the combinations based on the above, and the plurality of combinations C acquired by this measure combination acquisition unit 51, the measures that have been implemented A measure reflection unit 52 that corrects the value of the attribute information in the reference process information B or the financial information F may be further provided based on the adjustment information Mt of the corresponding measure information M. In this case, the management index calculation unit 4 calculates the management index I based on the production plan P and the financial information F generated according to each of the plurality of combinations C. For example, the above-mentioned specific attribute information is attribute information that can be adjusted by the company or a business partner. For example, the lead time, personnel, man-hours, purchase cost, payment conditions (described later) for each process possessed by the reference process information B may be used.

That is, in the present embodiment, as shown in FIG. 5, each measure is managed as the measure information M having the attribute information adjusted by the measure and the adjustment information Mt for adjusting the attribute information. Further, after deciding one or more measures to be implemented, the attribute information is corrected based on the decided measure information M (adjustment information Mt), and then the above-mentioned production scheduling and management simulation are executed. The production plan P and the management index I obtained in this way reflect the influence of the measures, and the influence of each measure is quantified.

In the embodiment shown in FIG. 5, the measure information M includes the measure identifier (measure ID), the type of attribute information that affects the measure (measure classification), the adjustment information Mt as the expected effect of the measure implementation, and the influence of the measure. It has an information field of the process (application process) to receive. Furthermore, the measure information M includes the application start time (date, etc.) indicating the time when production by the measure becomes possible, the investment amount for the measure, and the investment time, so that the management index I is calculated. We are trying to improve the accuracy. For example, when the lead time of the A process and the B process is shortened by α% by the measure specified by A indicating the addition of a certain machine tool, the measure ID field is A in one record of the measure information M, and the attribute information. The type field is the lead time, the adjustment information field is α%, and the application process field is the A process and the B process.

In addition, when there are multiple measures, the number of all combinations C depending on whether or not multiple measures are implemented is 2 ⁿ , where n is the number of measures, but all combinations C are targeted. , The management index I may be calculated for each of the combinations C (see FIG. 6) of at least a part (1 or more), and the management index I may be calculated for each of them. By obtaining the calculation result of the management index I for each of the plurality of combinations C depending on whether or not the measures are implemented in this way, it is easy to determine which measure can improve the management index I. It becomes possible to plan.

If the management index I is calculated for each of the plurality of combinations C, the same number of management index I as the combination C can be obtained. However, even if the management index I corresponding to each combination C is displayed by a list display or the like. good. At that time, the current situation and the time when the measures are implemented may be displayed in a contrastable manner by displaying the current cases in which none of the measures are taken. Further, in displaying this comparison, instead of displaying the calculated value of the management index I for each combination C, it may be displayed so that it can be grasped how it has changed with respect to the current situation. The gross profit, sales, CCC, cash flow, personnel, and other individual management indicators calculated for each combination C minus the current ones may be displayed in a list for each combination C. For example, the value of each combination C with respect to the current state may be mapped to a radar chart in which each axis corresponds to each management index I. As a result, the improvement effect of each combination C can be easily grasped, and the selection of the combination C can be facilitated.

According to the above configuration, when there are multiple measures such as management index I and improvement measures to improve management indicators such as lead time for each process, the reference process information that changes depending on the implementation of each measure. Introduce measure information M that defines how the attribute information included in B or financial information F is changed. At the same time, a plurality of combinations C depending on whether or not each of the plurality of measures is implemented are acquired, and based on the measure information M (adjustment information Mt) of one or more measures that are considered to be implemented in each combination C. After modifying the attribute information included in the reference process information B or the financial information F, the management index I corresponding to each combination C is calculated. As a result, the management index I when each measure is implemented can be obtained, and the prediction effect according to the presence or absence of implementation of each measure can be quantitatively obtained. Therefore, it is possible to seek feasible improvement measures that are effective in achieving the goals of management index I. In addition, since the measures decided to be implemented in this way correspond to the specific contents of the measures, the work for applying the measures to be carried out at the site level is clarified, and the effect of the implementation is appropriately reflected. It is possible to obtain a more accurate management index I.

However, since the number of combinations C based on the presence or absence of implementation of each of the above-mentioned measures increases by a power according to the number of measures (n), it is the number of measures to calculate the management index I for each combination C. It takes a lot of calculation time depending on the situation. Therefore, which combination of all combinations C to calculate the management index I may be determined through a parameter study (sensitivity analysis).

Specifically, in some embodiments, as shown in FIG. 1, the management index evaluation device 1 has at least one of a plurality of attribute information having a relatively high contribution to the calculated value of the management index I. A sensitivity analysis unit 53 configured to determine one category of attribute information may be further provided. In this case, the measure combination acquisition unit 51 acquires a part of the combination C including the measure for adjusting the attribute information classified into the determined category among all the combinations. For example, as shown in FIG. 7, by executing the sensitivity analysis (parameter study), for example, one of the categories such as the lead time for each process, which affects the lead time of the entire production, and the number of personnel for each department in the production. Which of the categories that affects the number of people engaged in the process and the category that affects the ratio of the in-house production process (in-house production rate) or the external production rate (= 1-in-house production rate) in the entire production process It may be determined whether or not the sensitivity to the calculated value of the management index I is high.

Specifically, in the sensitivity analysis, for any one or more measures of the measure information M, the adjustment information Mt is temporarily corrected to an arbitrary value and the management index I is calculated in order for each category. You may execute it with. As a result, as shown in FIG. 7, the sensitivity to the management index I for each category is required, so that it is possible to determine the category with high sensitivity. For example, when the results shown in FIG. 7 are obtained, it can be determined that changes in lead time and personnel are highly sensitive to gross profit (management index I). Therefore, from all the combinations C, the combinations C that have the expected effect of changing the lead time or the attribute information related to the personnel are extracted, and the extracted one or more combinations C are used as the management index I. May be calculated. At this time, it is not necessary to calculate the management index I for all the extracted combinations C, and only some combinations C can be searched for the combination C that can achieve the target value of the management index I with an appropriate step size. You may go to. As a result, it becomes possible to speed up the derivation of the combination C that can achieve the target value of the management index I. In the sensitivity analysis, an orthogonal array may be used, and the sensitivity analysis can be performed efficiently by the combination C selected from all the combinations C.

According to the above configuration, when the attribute information is classified into categories such as an attribute that affects the lead time, an attribute that affects the number of personnel, and an attribute that affects the in-house production rate, the influence on the management index is affected. In addition to discriminating high categories, the combinations for which management indicators are calculated are narrowed down to the combinations for which measures to adjust the attribute information classified in the discriminated category are considered to be implemented. As a result, the calculation of the management index I can be performed by focusing on the combinations that are effective for adjusting the management index, without targeting all the combinations depending on the presence or absence of the implementation of multiple measures, which is optimal. You can seek improvement measures more quickly.

Next, some embodiments of the above-mentioned financial information F will be described.
In some embodiments, as shown in FIG. 2, the above-mentioned financial information F sets at least one of the deposit time Cr and the withdrawal time Cd for each of the plurality of steps required for the production of the production object T described above. The deposit / withdrawal condition Fa to be included may be further included. In this case, the management index calculation unit 4 calculates the management index I regarding deposits and withdrawals in accordance with the above deposit / withdrawal condition Fa. The management index I regarding deposits and withdrawals is, for example, cash flow or CCC.

More specifically, the deposit time Cr and the withdrawal time Cd may be defined by the deposit / withdrawal generation standard and the payment site which is the grace period from the deposit / withdrawal generation standard to the actual payment. For example, the deposit / withdrawal generation standard may be the start or completion of the process, and if the deposit site is + β months, it is assumed that payment will occur within + β months from the start or completion of the process. Is calculated. In the embodiment shown in FIG. 2, the deposit / withdrawal condition Fa is managed in the customer table T4, and either the deposit / withdrawal generation standard and the payment site regarding deposit or withdrawal are indispensable items. Incidentally division, deposit or withdrawal, for example + beta ₁ month after the lapse total x ₁ percent, + beta ₂ months in total x ₂ percent, for example, to deposit or withdraw the remainder after a lapse + beta _March, two or more In order to deal with this case, two or more deposit timing Cr and withdrawal timing Cd may be registered.

According to the above configuration, the financial information F includes the deposit / withdrawal condition Fa for each process, and the management index I such as cash flow is calculated based on the deposit / withdrawal condition Fa. The withdrawal time Cd of the cost to be paid to the business partner when the component parts of the production target T are procured from the outside and the payment time Cr of the selling price paid from the purchaser of the production target T depend on the business partner and the purchaser. May be different. Therefore, since the deposit / withdrawal condition Fa is associated with the process, the deposit time and the withdrawal time can be determined based on the production plan P in which the implementation time of each process is determined. Therefore, by calculating the cash based on the timing of deposits and withdrawals, it is possible to obtain the management index I related to deposits and withdrawals such as cash flow and CCC more accurately.

Next, some embodiments of the above-mentioned production plan P generation will be described with reference to FIG. FIG. 8 is a diagram schematically showing a production plan acquisition unit 31 according to an embodiment of the present invention. Further, FIG. 9 is a diagram for explaining a cost evaluation method according to an embodiment of the present invention.

If the delivery date is delayed in the production plan P generated by the production scheduler 8 described above, there is a possibility that a penalty cost (hereinafter, delay cost) for the delivery delay will be paid to the delivery destination of the production object T. There is. In order to prevent delivery delays, it is possible to start production earlier than originally planned or increase the resources that can be used at the same time in some way, but there is an additional cost to implement such measures. (Hereinafter, additional cost) is usually required. Therefore, a countermeasure plan that can reduce the sum of the delay cost and the additional cost (total cost) is derived.

Specifically, in some embodiments, the production plan acquisition unit 31 described above has a delay due to a delivery delay in the production plan P (hereinafter, the first production plan Pa) in which the delivery date of the production object T is delayed. Comparison result of the cost and the sum of the delay cost and the additional cost required to advance the delivery date in the production plan P (hereinafter referred to as the second production plan Pb) in which the delivery date of the production object T is advanced compared to the first production plan Pa. One production plan P may be acquired by selecting the production plan P from the first production plan Pa and the second production plan Pb.

Specifically, the delay cost is calculated by using an evaluation function that multiplies the number of days of delivery delay for each production object T by the penalty cost per unit period (1 day, etc.) for each production object T. Is also good.
On the other hand, the additional cost is to advance the production start time of the production target T with respect to the first production plan Pa, increase the outsourcing rate (external production process rate) with respect to the first production plan Pa, or with respect to the first production plan Pa. It may be calculated using an evaluation function capable of calculating the cost when at least one measure for increasing the overtime work of the workers involved in the production of the production object T is implemented.

More specifically, as shown in FIG. 9, the additional cost when the above-mentioned production start time is advanced may be calculated by an evaluation function for calculating the cost related to the work-in-process according to the number of days ahead of schedule due to the early start. .. Further, for the other measures described above, the second production plan Pb may be calculated after modifying the reference process information B and the financial information F, and may be calculated based on the result. For example, the additional cost due to the increase in the outsourcing rate may be calculated by an evaluation function that subtracts the cost when the process is carried out in-house from the cost when the outsourcing is used. The additional cost due to the increase in overtime work (overtime work and holiday work) may be calculated by an evaluation function that multiplies the total overtime work hours by the unit price during overtime work.

Then, the total cost (amount) of these evaluation functions is calculated, and when the calculation result is the minimum or less than the target value, the delivery delay period, the early start period, the man-hours to be outsourced, and the man-hours for overtime work are optimized. It may be obtained by searching by a chemical calculation, and based on this result, it may be decided whether to take measures against the delay in delivery, or to decide which measure to take and to what extent. In the embodiment shown in FIG. 9, the total cost when a plurality of measures are combined is smaller than when each measure is individually implemented, and the result is derived, and the production reflecting the plurality of measures is reflected. The result shows that it is appropriate to adopt Plan P. As a result, when the total cost of the second production plan Pb is lower than the total cost of the first production plan Pa, the measures to be actually implemented (shortening period, advance period, presence / absence of outsourcing, overtime work and holiday work increase cost) ) Can be selected appropriately.

In the embodiment shown in FIG. 8, the production plan acquisition unit 31 includes the first planning cost calculation unit 61 for calculating the delay cost (first planning cost) when the delivery date of the first production plan Pa is delayed. In this case, the second planning cost calculation unit 62 that acquires the above-mentioned second production plan Pb and calculates the sum of the delay cost and the additional cost in the second production plan Pb (second planning cost), and the first production plan. It has a determination unit 63 that selects the production plan P having the lowest cost based on the cost of Pa (delay cost) and the cost of the second production plan Pb (total cost). The second production plan Pb can be modified according to the content of the measure to which at least one of the reference process information B and the financial information F is applied, but for one or more second production plans Pb (at least four in FIG. 9). The optimum solution is obtained by performing the second planning cost and the processing by the determination unit 63.

According to the above configuration, the production plan P (first production plan Pa) in which the delivery date is delayed and the production plan P (first production plan Pa) in which the delivery date of the production object T is advanced as compared with the first production plan Pa by the above countermeasures. One of the production plans is selected based on the comparison of the sum of the delay cost and the additional cost for each of the second production plan Pb). As a result, the production plan P having a smaller total cost can be selected.

Hereinafter, the management index evaluation method corresponding to the processing executed by the management index evaluation device 1 described above will be described with reference to FIGS. 10 to 11. FIG. 10 is a diagram showing a management index evaluation method according to an embodiment of the present invention. Further, FIG. 11 is a diagram showing a flow until a plurality of production plans P according to an embodiment of the present invention are acquired.

As shown in FIG. 10, the management index evaluation method includes a production plan acquisition step (S1) and a management index calculation step (S3). In the embodiment shown in FIG. 10, the management index evaluation method further includes a scenario acquisition step (S2).
The management index evaluation method will be described in the order of steps in FIG.

In step S1 of FIG. 10, the production plan acquisition step is executed. The production plan acquisition step (S1) is to execute the production scheduling of the production target T based on the reference process information B of the production target T (one or more products) produced in the evaluation period of the management index I. This is a step of acquiring the obtained production plan P. Since this production plan acquisition step (S1) is the same as the processing content executed by the production plan acquisition unit 31 already described, the details will be omitted.

In step S2 of FIG. 10, the scenario acquisition step is executed. The scenario acquisition step (S2) is a step of acquiring one or more plurality of scenarios S in the evaluation period of the management index I. Since this scenario acquisition step (S2) is the same as the processing content executed by the scenario acquisition unit 32 already described, the details will be omitted.

In step S3 of FIG. 10, the management index calculation step is executed. The management index calculation step (S3) obtains financial information F for a plurality of processes included in the reference process information B of the production object T based on the production plan P acquired by the production plan acquisition step (S1) described above. , Is a step of acquiring from the database 2 and calculating the management index I in the evaluation period. Since this management index calculation step (S3) is the same as the processing content executed by the management index calculation unit 4 already described, the details will be omitted.

In some embodiments, the production plan acquisition step (S1) described above may acquire a plurality of production plans P. In this case, as shown in FIG. 11, the above-mentioned steps S1 to S3 (step S07 in FIG. 11) are executed for each of the plurality of production plans P.

Specifically, in some embodiments, as shown in FIG. 11, the management index evaluation method is a measure corresponding to each measure information M for a plurality of measure information M including the above-mentioned adjustment information Mt. Implementation is performed for each of the measure combination acquisition step (S03) for acquiring at least a part (see FIG. 6) of all combinations based on the presence or absence of implementation, and the plurality of combinations C acquired by this measure combination acquisition step. A measure reflection step (S04) for correcting the value of the attribute information in the reference process information B or the financial information F may be further provided based on the adjustment information Mt of the measure information M corresponding to the existing measure. In this case, in the management index calculation step (S3), the management index I is calculated based on the production plan P and the financial information F generated according to each of the plurality of combinations C. Since the measure combination acquisition step and the measure reflection step are the same as the processing contents executed by the measure combination acquisition unit 51 and the measure reflection unit 52, respectively, the details are omitted.

Further, in some embodiments, as shown in FIG. 11, the management index evaluation method includes at least one attribute information having a relatively high contribution to the calculated value of the management index I among the plurality of attribute information. Sensitivity analysis steps (S01-S02) configured to discriminate categories may be further provided. In this case, the above-mentioned measure combination acquisition step acquires a part of the combination C including the measure for adjusting the attribute information classified into the category determined by the sensitivity analysis step among all the combinations. Since this sensitivity analysis step is the same as the processing content executed by the sensitivity analysis unit 53 described above, the details will be omitted.

In the embodiment shown in FIG. 11, the sensitivity analysis step is executed in steps S01 to S02. That is, in step S01, all combinations based on the presence or absence of implementation of the plurality of measures are derived, and the sensitivity analysis described above is carried out in step S02. In step S03, the measure combination acquisition step is executed, and a part of all combinations C is acquired based on the result of the sensitivity analysis. The measure reflection step is executed in step S04, the reference process information B and the financial information F are corrected for each of the acquired plurality of combinations C, and then the production scheduling is executed for each of the acquired plurality of combinations C in step S05. .. Then, in step S05, a management simulation is executed for each of the plurality of production plans P obtained as described above based on the financial information F modified corresponding to each production plan P (FIG. 10). .. After acquiring a plurality of combinations C by the measure combination acquisition step (S03), the measure reflection step (S04) according to the combination C, the execution of the production scheduling, and the execution of the management simulation are set as a set of the plurality of combinations C. You may repeat until you do everything.

The present invention is not limited to the above-described embodiment, and includes a modification of the above-described embodiment and a combination of these embodiments as appropriate.

1 Management index evaluation device m Storage device 2 Database (financial information database)
22 Standard process information database 31 Production plan acquisition department 32 Scenario acquisition department 4 Management index calculation department 51 Measure combination acquisition department 52 Measure reflection department 53 Sensitivity analysis department 61 First plan cost calculation department 62 Second plan cost calculation department 63 Decision department 8 Production scheduler 9 Management index evaluation system 91 Display

I Management index P Production plan Pa 1st production plan Pb 2nd production plan B Standard process information F Financial information Fc Cost information Fa Deposit / withdrawal conditions Cd Withdrawal time Cr Deposit time S Scenario M Measure information Mt Adjustment information C Combination T Production target Product T1 In-house production process table T2 External production process table T3 Process manpower table T4 Customer table

Claims (9)

A database that manages financial information including cost information required for each of the plurality of processes included in the reference process information that defines process information of each of a plurality of processes required for production of a production object, and a database.
With the production plan acquisition unit configured to acquire the production plan obtained by executing the production scheduling of the production object based on the reference process information of the production object produced in the evaluation period of the management index. ,
Based on the production plan, the management configured to acquire the financial information about the plurality of processes included in the reference process information of the production target from the database and calculate the management index in the evaluation period. A management index evaluation device characterized by having an index calculation unit. Further, a scenario acquisition unit configured to acquire a plurality of scenarios in which the external environment conditions in the evaluation period are defined is further provided.
The first aspect of claim 1, wherein the management index calculation unit calculates the management index for each of the plurality of scenarios based on the external environmental conditions defined in each of the plurality of scenarios. Management index evaluation device. Regarding a plurality of measure information including adjustment information for adjusting the registered value of the reference process information or the attribute information included in the financial information, which can change the calculation result of the management index, each of the measures The measure combination acquisition department that acquires at least a part of all combinations based on whether or not measures corresponding to information are implemented,
For each of the plurality of acquired combinations, a measure for correcting the value of the attribute information in the reference process information or the financial information based on the adjustment information of the measure information corresponding to the measure for which the implementation is performed. With a reflection part,
The management according to claim 1 or 2, wherein the management index calculation unit calculates the management index based on the production plan and the financial information generated according to each of the plurality of combinations. Index evaluation device. A sensitivity analysis unit configured to discriminate at least one category of the attribute information having a relatively high contribution to the calculated value of the management index from the plurality of the attribute information is further provided.
The third aspect of the present invention is characterized in that the measure combination acquisition unit acquires a part of the combinations including the measure for adjusting the attribute information classified into the discriminated category among all the combinations. Described management index evaluation device. The financial information further includes deposit and withdrawal conditions including at least one of the deposit and withdrawal timings for each of the plurality of steps.
The management index evaluation device according to any one of claims 1 to 4, wherein the management index calculation unit calculates the management index related to deposits and withdrawals in accordance with the deposit and withdrawal conditions. The production plan acquisition unit advances the delivery date of the production object to the delay cost due to the delivery delay in the first production plan in which the delivery date of the production object is delayed, and the delivery date of the production object ahead of the first production plan. 2 By selecting the production plan from the first production plan and the second production plan based on the result of comparison with the sum of the delay cost in the production plan and the additional cost required to advance the delivery date. The management index evaluation device according to any one of claims 1 to 5, wherein the production plan is acquired. The second production plan is
Advance the production start time of the production object with respect to the first production plan, increase the outsourcing rate with respect to the first production plan, or the time of workers engaged in the production of the production object with respect to the first production plan. The management index evaluation device according to claim 6, characterized in that it includes at least one measure for increasing outside labor. A production plan obtained by executing the production scheduling of the production object based on the reference process information that defines the process information of each of the plurality of processes required for the production of the production object produced in the evaluation period of the management index. With the production plan acquisition steps configured to acquire
Based on the production plan, financial information including cost information about the plurality of processes included in the reference process information of the production object is obtained, and the cost required for each of the plurality of processes included in the reference process information. A management index evaluation method comprising: a management index calculation step configured to acquire the management index including the information from a database for managing the financial information and calculate the management index in the evaluation period. On the computer
A database that manages financial information including cost information required for each of the plurality of processes included in the reference process information that defines process information of each of a plurality of processes required for production of a production object, and a database.
With the production plan acquisition unit configured to acquire the production plan obtained by executing the production scheduling of the production object based on the reference process information of the production object produced in the evaluation period of the management index. ,
Based on the production plan, the management configured to acquire the financial information about the plurality of processes included in the reference process information of the production target from the database and calculate the management index in the evaluation period. A management index evaluation program characterized by being a program for realizing the index calculation department.

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