Optimization system and optimization method
By designing an optimization system that includes storage, evaluation and target setting functions, the problem of difficulty in evaluating the environmental impact and economic value of the product throughout the life cycle is solved, and a comprehensive evaluation and optimization of environmental load and economic value during the life cycle is achieved.
Patent Information
- Application Number
- JP2023184812
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-10-27
- Publication Date
- 2025-05-13
AI Technical Summary
The prior art is difficult to assess the environmental impact and economic value of a product throughout its life cycle, especially before and after the production process.
An optimization system is designed, including storage units, product unit evaluation units, group unit evaluation units, target setting units and evaluation and judgment units. By storing and evaluating product-related information, including environmental load, procurement, production and financial information, it evaluates the environmental load and economic value throughout the life cycle, and sets goals and constraints based on multiple indicators.
It has achieved a comprehensive assessment of the environmental impact and economic value of the product throughout its life cycle, and can optimize production and procurement strategies based on multiple indicators to improve CO2 emission reduction rates and profitability.
Smart Images

Figure 2025073761000001_ABST
Abstract
Description
[Technical field]
[0001] The present invention relates to an optimization system and an optimization method, and is suitable for application to an optimization system relating to technology for evaluating the environmental load and economic value when manufacturing a product, for example. [Background technology]
[0002] In recent years, there has been growing interest in environmental considerations in the production of products. On the other hand, excessive consideration for the environment can lead to excessive costs, which can reduce economic value such as profit margins. Patent Document 1 discloses a technique for calculating the extent to which the environmental impact of each process of a product or part in a factory should be reduced in order to achieve a reduction target value set for the environmental impact of the entire product, the entire process, the entire business, or the like. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] JP 2009-32132 A Summary of the Invention [Problem to be solved by the invention]
[0004] However, the technology disclosed in Patent Document 1 targets the environmental load within the factory where the product is produced and optimizes production plans for the processes of products and parts within the factory in order to reduce the environmental load at each base, but this is based on the premise that the factory is closed.
[0005] The present invention has been made in consideration of the above points, and aims to propose an optimization system and method that can evaluate the environmental load and economic value of a product's entire life cycle, including pre- and post-production processes. [Means for solving the problem]
[0006] In order to solve this problem, the present invention comprises a memory unit in which product information, environmental load information, procurement information, production information and financial information are stored as information related to the production of at least one product; a product unit evaluation unit that changes the allocation conditions of the information related to the production of the product stored in the memory unit and evaluates the environmental load and economic value of the entire life cycle of the product unit, including pre- and post-production processes of the product; a group unit evaluation unit that adds up the evaluated environmental load and economic value of the entire life cycle of the product unit for each group in which the product is produced, and evaluates the environmental load and economic value corresponding to multiple indicators related to greenhouse gas emissions for the group unit; a target setting unit that sets target values and constraint conditions for the group unit based on the environmental load and economic value corresponding to multiple indicators related to greenhouse gas emissions for the group unit; and an evaluation and judgment unit that outputs the allocation conditions required to satisfy the target values and constraint conditions for the group unit to a display unit.
[0007] In addition, the present invention has a storage step of storing product information, environmental load information, procurement information, production information and financial information in a storage unit as information related to the production of at least one product; a product unit evaluation step in which a product unit evaluation unit changes the allocation conditions of the information related to the production of the product stored in the storage unit and evaluates the environmental load and economic value of the entire life cycle of the product unit, including pre-production and post-production processes of the product; a group unit evaluation step in which a group unit evaluation unit adds up the environmental load and economic value of the entire life cycle of the evaluated product unit for each group in which the product is produced, and evaluates the environmental load and economic value corresponding to a plurality of indicators related to greenhouse gas emissions for the group unit; a goal setting step in which a target value and constraint conditions for the group unit are set based on the environmental load and economic value corresponding to a plurality of indicators related to greenhouse gas emissions for the group unit; and an evaluation and judgment step in which an evaluation and judgment unit outputs to a display unit the allocation conditions necessary to satisfy the target value and constraint conditions for the group unit. Effect of the Invention
[0008] According to the present invention, it is possible to evaluate the environmental load and economic value of a product over its entire life cycle, including pre- and post-production processes. [Brief description of the drawings]
[0009] [Figure 1] FIG. 1 is a block diagram showing an example of a system configuration of an optimization system according to an embodiment of the present invention. [Diagram 2] FIG. 1 is a diagram showing an example of grouping evaluation results of bases, production lines, and products in a certain company. [Diagram 3] 13 is a flowchart illustrating an example of a procedure for an evaluation process. [Figure 4] FIG. 13 is a diagram showing an example of an LCA simulation screen. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0010] Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. 1 is a block diagram showing an example of a system configuration of an optimization system 1 according to this embodiment. The optimization system 1 includes a storage unit 100, a calculation unit 200, a judgment unit 300, a target setting unit 400, a display unit 500, an external information acquisition unit 600, and an input unit 700. The target setting unit 400 has a function of setting target values for, for example, environmental load and economic value as KPIs.
[0011] The memory unit 100 stores, as information related to the production of at least one product, product information 101, production information 102, procurement information 103, CO2 (hereinafter referred to as "CO2") information 104, and financial information 105. The product information 101, production information 102, procurement information 103, CO2 information 104, and financial information 105 are information that is input from an external device such as a sequencer at the production site via the external information acquisition unit 600, or is information that is input manually via the input unit 700.
[0012] The product information 101 includes at least one of the following information for each product, which can distinguish multiple products from one another: the product name, serial number, product name, composition, sales year, sales destination country, production volume, material weight, etc. The production information 102 indicates information for producing the product. The production information 102 includes at least one of the following information, for example: production volume, production base, and production plan.
[0013] The procurement information 103 indicates information on procurement of parts necessary for producing a product and procurement of energy for producing the product. The procurement information 103 includes, for example, at least one of information on whether the product is a recycled material, a biomaterial, a second-hand product, and renewable energy.
[0014] The CO2 information 104 is an example of information related to environmental load. Among a plurality of indices related to greenhouse gas emissions, Scope 1 to 3, which will be described later, the CO2 information 104 includes, for example, for Scope 2, the mass balance of renewable energy power and renewable energy, and for Scope 3, the amount of CO2 reduction due to the use of recycled materials.
[0015] The financial information 105 indicates information related to finances related to the production of the product. The financial information 105 includes, for example, at least one of the selling price, the cost price, the profit margin, and the carbon tax. Furthermore, the financial information 105 includes, for example, information related to the production cost, the electricity cost, and the carbon tax.
[0016] The calculation unit 200 includes a product unit evaluation unit 220 and a group unit evaluation unit 230. The product unit evaluation unit 220 has a function of changing the allocation amount as an example of an allocation condition of the information related to the production of the product stored in the storage unit 100, and evaluating how the environmental load and economic value change over the entire life cycle of the product unit, including the processes before and after the production of the product (hereinafter also referred to as "evaluation of the environmental load and economic value"). Here, the allocation amount is exemplified as an allocation condition, but other conditions such as an allocation rate (allocation ratio) may also be used.
[0017] In this embodiment, the CO2 reduction rate and the profit rate are described as examples of the environmental load and the economic value. In this embodiment, the environmental load may be other environmental loads such as the amount of CO2 reduction other than the above-mentioned CO2 reduction rate. In this embodiment, the economic value may be other economic values such as the profit amount and the investment amount other than the above-mentioned profit rate.
[0018] The group unit evaluation unit 230 has a function of summing up the CO2 reduction rate and profit rate of the entire life cycle of each product unit evaluated by the product unit evaluation unit 220 for each group in which the product is produced, and evaluating the CO2 reduction rate and profit rate corresponding to multiple indicators related to greenhouse gas emissions for each group. Details of grouping by the group unit evaluation unit 230 will be described later.
[0019] In this embodiment, the term "entire life cycle" refers to the entire production cycle of a product, from the stage of raw materials before they become a finished product in a factory, to the stage of shipping the finished product, and finally to disposal.
[0020] In this embodiment, for example, Scope 1 to 3 are given as the multiple indicators related to the greenhouse gas emissions described above. These Scopes 1 to 3 will be explained. Scopes 1 to 3 indicate, for example, indicators of greenhouse gas emissions in a supply chain related to a product. Scope 1 indicates direct greenhouse gas emissions associated with business activities. Scope 2 indicates indirect greenhouse gas emissions in the production stage of heat and energy used in business activities. Scope 3 indicates greenhouse gas emissions that are indirectly emitted other than the above Scopes 1 and 2.
[0021] The product unit evaluation unit 220 includes a renewable energy allocation setting unit 221 , a recycled material allocation setting unit 222 , a CO2 reduction amount evaluation unit 223 , a profit margin evaluation unit 224 , and a constraint condition evaluation unit 225 .
[0022] The renewable energy allocation setting unit 221 has a function of setting various types of allocations (e.g., allocation amount, allocation rate, allocation proportion) regarding the extent to which renewable energy should be substituted for the allocation of existing energy currently consumed in producing the product, when considering the product on a product-by-product basis.
[0023] The recycled material allocation setting unit 222 has a function of setting various allocations (e.g., allocation amount, allocation rate, allocation proportion) regarding to what extent recycled materials should be replaced with existing raw materials currently being used to produce the product, when considering the product on a product-by-product basis.
[0024] The CO2 reduction evaluation unit 223 has a function of evaluating, when considering on a product-by-product basis, to what extent the environmental load (e.g., CO2 reduction rate or CO2 emissions) can be reduced on a product-by-product basis when the above-mentioned allocations are changed in producing the product.
[0025] The profit margin evaluation unit 224 has a function of evaluating, when considering on a product-by-product basis, how much the profit margin will change on a product-by-product basis when the above-mentioned allocations are changed in producing the product.
[0026] The constraint condition evaluation unit 225 evaluates whether or not the CO2 reduction rate of each product evaluated by the CO2 reduction amount evaluation unit 223 and the profit margin of each product evaluated by the profit margin evaluation unit 224 satisfy the constraint conditions previously set for each product. Here, the constraint conditions refer to conditions imposed on the fuel, renewable energy, recycled materials, mass balance, etc. consumed in producing the product in order to reduce the CO2 reduction rate, for example.
[0027] On the other hand, the group unit evaluation unit 230 includes a renewable energy procurement amount evaluation unit 231 , a recycled material procurement amount evaluation unit 232 , a CO2 reduction amount evaluation unit 233 , a profit margin evaluation unit 234 , and a constraint condition evaluation unit 235 .
[0028] The renewable energy procurement amount evaluation unit 231, for example, when considering a company (or each of its bases or each of its production lines) (hereinafter referred to as a "group, etc."), evaluates, for example, how much of the company's own renewable energy, such as solar power generation, or how much renewable energy can be procured from an electric power company.
[0029] The recycled material procurement amount evaluation unit 232 has a function of evaluating how much recycled material can be procured when considering the group or other unit.
[0030] The CO2 reduction amount evaluation unit 233 has a function of evaluating the extent to which CO2 can be reduced (CO2 reduction rate) when considering the unit of the group or the like.
[0031] The profit margin evaluation unit 234 has a function of evaluating what level of profit margin can be secured when considering the unit of the group or the like.
[0032] The constraint condition evaluation unit 235 evaluates whether or not the CO2 reduction rate for each group evaluated by the CO2 reduction amount evaluation unit 233 and the profit rate for each group evaluated by the profit rate evaluation unit 234 satisfy the constraint conditions previously set for each group. Specific examples of the constraint conditions include cost constraint conditions when determining an investment budget taking into account cost-effectiveness in ERP (Enterprise Resource Planning), human constraint conditions when determining the structure, number, and participation level of the company's personnel to be engaged in the implementation work, and timing constraint conditions when formulating an implementation schedule taking into account busy periods and determining the timing of actual operation taking into account the maintenance deadlines of existing resources.
[0033] The judgment unit 300 has a function of evaluating the CO2 reduction rate and the profit margin based on any one of the following evaluation conditions: a first evaluation condition that prioritizes the CO2 reduction rate, a second evaluation condition that prioritizes the profit margin, and a third evaluation condition that balances both the CO2 reduction rate and the profit margin, and outputting, for example, allocation conditions related to production information, procurement information, etc. necessary to realize the result of the evaluation to the display unit 500 (see the center to right side of Figure 4 described later).
[0034] 2 is a diagram showing an example of grouping the evaluation results of bases, production lines, and products in a certain company. In this embodiment, the group unit evaluation unit 230 has a function of dividing the groups into a plurality of layers (in this embodiment, as an example, groups 1 to 4), and evaluating the CO2 reduction rate and profit rate over the entire life cycle of the above-mentioned product unit for one or more lower groups (for example, groups 2 to 4) and a higher group (for example, group 1) to obtain an evaluation result.
[0035] More specifically, in this embodiment, the evaluation results are grouped as follows. Specifically, first, the evaluation results of the entire company belong to group 1, which is the highest group. The evaluation results of the bases A and B belong to group 2, which is the highest group. The evaluation results of the production lines A1, A2, B1, and B2 belong to group 3, which is the lowest group. The evaluation results of the products A11 to A13, A21 to A23, and the products B11 to B13, and B21 to B23 belong to group 4, which is the lowest group. In the illustrated example, groups 1 to 4 are consecutive from the highest group to the lowest group, in the order of group 1, group 2, group 3, and group 4, but at least one group between the highest group and the lowest group is omitted, and the grouping may be set to cross at least one group.
[0036] 3 is a flowchart showing an example of a procedure of an evaluation process. First, an overview of an LCA (Life Cycle Assessment) optimization method (hereinafter, referred to as an "optimization method") using the optimization system 1 according to this embodiment will be described. The optimization method, which includes the evaluation process as a part thereof, includes a storage step of storing product information 101, CO2 information 104, procurement information 103, production information 102, and financial information 105 in the storage unit 100 as information related to the production of at least one product; a product unit evaluation step in which the product unit evaluation unit 220 changes the allocation conditions of the information related to the production of the product and evaluates the CO2 reduction rate and profit margin of the entire life cycle of the product unit including pre-production and post-production processes of the product; a group unit evaluation step in which the group unit evaluation unit 230 totals the evaluated CO2 reduction rate and profit margin of the entire life cycle of the product unit for each group in which the product is produced, and evaluates the CO2 reduction rate and profit margin of Scopes 1 to 3 of the group unit; a goal setting step in which the goal setting unit 400 sets a target value and constraint conditions for the group unit based on the CO2 reduction rate and profit margin of Scopes 1 to 3 of the group unit; and an evaluation and judgment step in which the judgment unit 300 outputs to the display unit 500 the allocation conditions required to satisfy the target value and constraint conditions of the group unit. The above-mentioned allocation conditions can be, for example, conditions for production and procurement of each product, and can further be, for example, conditions related to any one or any combination of the product information 101, CO2 information 104, procurement information 103, production information 102, and financial information 105 stored in the storage unit 100. A specific description will be given below.
[0037] In step S1, the target setting unit 400 sets at least one of target values of a CO2 reduction rate and a profit rate for each product and target values of a CO2 reduction rate and a profit rate for each group.
[0038] In step S2, the product unit evaluation unit 220 and the group unit evaluation unit 230 acquire the product information 101, the production information 102, the procurement information 103, the CO2 information 104, and the financial information 105 stored in the storage unit 100, respectively.
[0039] In step S3, the renewable energy procurement amount evaluation unit 231 of the group unit evaluation unit 230 sets the procurement amounts of renewable energy and renewable materials on a group basis.
[0040] In step S4, the renewable energy allocation setting unit 221 of the product unit evaluation unit 220 sets the allocation of renewable energy on a product-by-product basis, and the recycled material allocation setting unit 222 of the product unit evaluation unit 220 sets the allocation of recycled materials on a product-by-product basis.
[0041] In step S5, the CO2 reduction evaluation unit 223 of the product unit evaluation unit 220 evaluates the CO2 reduction rate for each product. In step S6, the profit margin evaluation unit 224 of the product unit evaluation unit 220 evaluates the profit margin for each product.
[0042] In step S7, the CO2 reduction evaluation unit 233 of the group unit evaluation unit 230 sums up the CO2 reduction rates of each product for each group and evaluates the CO2 reduction rate for each group. In step S8, the profit margin evaluation unit 224 of the group unit evaluation unit 230 sums up the profit margins of each product for each group and evaluates the profit margins for each group.
[0043] In step S9, the calculation unit 200 causes the display unit 500 to output an LCA simulation screen including the evaluation results by the CO 2 reduction amount evaluation unit 233 of the group unit evaluation unit 230 and the evaluation results by the profit margin evaluation unit 224 of the group unit evaluation unit 230.
[0044] Specifically, an LCA simulation screen including a detailed column for CO2 reduction rate and profit margin, a cost column, and a CN activity column from the center to the right side is displayed on the display unit 500 according to a specific calculation condition (calculation condition 25 shown in FIG. 4 is exemplified) selected from among a plurality of calculation conditions. The detailed column for CO2 reduction rate and profit margin shows an example of a CO2 reduction rate on a product-by-product and group-by-group basis. The cost column shows an example of a profit margin on a product-by-product and group-by-group basis.
[0045] The LCA simulation screen displays the CO2 reduction rate and the profit rate for each scope and for each product, for example. Furthermore, the LCA simulation screen displays the CO2 reduction rate and the profit rate for each scope and for each group, for example.
[0046] Furthermore, the calculation unit 200 displays an evaluation result graph on the left side of the LCA simulation screen, in which the CO2 reduction rate and profit margin for each product and group are plotted. Specifically, the evaluation result graph is a graph showing the above evaluation result when, for example, the horizontal axis is the CO2 reduction rate [%] and the vertical axis is the profit margin [%]. The evaluation result graph displays a graph of the optimum plan so as to draw an arc upward from the upper left corner to the lower right corner of the display range. In the evaluation result graph, a KPI index corresponding to a predetermined KPI of the CO2 reduction amount is displayed vertically (in the direction in which the profit margin [%] increases from 0), and the KPI index intersects with the graph of the optimum plan at a predetermined point.
[0047] Here, for example, if the KPI for the CO2 reduction rate is 35% and the current CO2 reduction rate is 12% and the profit margin is 16%, the evaluation result graph on the LCA simulation screen can visually show that the optimal plan under the above calculation conditions 25 (not shown), for example, the CO2 reduction rate can be improved to 36% and the profit margin can be improved to 18%.
[0048] On this LCA simulation screen, any of the KPIs for the CO2 reduction rate, the design variables, and the constraint conditions can be changed, and the evaluation graph can be displayed by changing the above items according to the changed KPIs for the CO2 reduction rate, the design variables, and the constraint conditions.
[0049] If the evaluation result does not satisfy the KPI of the CO2 reduction rate, the renewable energy procurement amount evaluation unit 231 and the recycled material procurement amount evaluation unit 232 in the group unit evaluation unit 230 evaluate again. Also, if the evaluation result does not satisfy the KPI of the CO2 reduction rate, in the product unit evaluation unit 220, the renewable energy allocation setting unit 221 changes the setting of the renewable energy allocation again, and the recycled material allocation setting unit 222 changes the setting of the recycled material allocation again.
[0050] In step S10, the calculation unit 200 repeatedly executes the above-mentioned processing (for example, the above processing including steps S3 to S9) until the target values of the CO2 reduction rate and the profit rate set as KPIs by the target setting unit 400 as described above are achieved.
[0051] On the other hand, if it is determined in step S10 that the target values of the CO2 reduction rate and the profit rate set as KPIs by the target setting unit 400 have been achieved, the product unit evaluation unit 220 and the group unit evaluation unit 230 execute step S11.
[0052] In step S11, the judgment unit 300 evaluates the CO2 reduction rate and the profit margin based on any one of the evaluation conditions, for example, the first evaluation condition which prioritizes the CO2 reduction rate, the second evaluation condition which prioritizes the profit margin, and the third evaluation condition which balances both the CO2 reduction rate and the profit margin, and outputs to the display unit 500 the allocation conditions for, for example, the production information 102 and the procurement information 193 necessary to realize the result of the evaluation, out of the above-mentioned product information 101, CO2 information 104, procurement information 103, production information 102, and financial information 105.
[0053] Here, the determining unit 300 evaluates the CO2 reduction rate and the profit rate based on, for example, the amount of CO2 emission as the environmental load and a resource circulation index including the utilization rate of recycled materials, the amount of resource input, and the amount of resource discharge.
[0054] In step S12, the constraint condition evaluation unit 225 of the product unit evaluation unit 220 evaluates whether the CO2 reduction rate of the product unit evaluated by the CO2 reduction amount evaluation unit 223 and the profit margin of the product unit evaluated by the profit margin evaluation unit 224 satisfy the constraint conditions.
[0055] Furthermore, in step S12, the constraint condition evaluation unit 235 of the group unit evaluation unit 230 evaluates whether the group unit CO2 reduction rate evaluated by the CO2 reduction amount evaluation unit 233 and the group unit profit margin evaluated by the profit margin evaluation unit 234 satisfy the constraint conditions.
[0056] As described above, the optimization system 1 according to this embodiment includes a memory unit 100 in which product information 101, CO2 information 104, procurement information 103, production information 102, and financial information 105 are stored; a product unit evaluation unit 220 that changes the allocation amount as an example of allocation conditions of information related to the production of the product stored in the memory unit 100, and evaluates the CO2 reduction rate and profit margin of the entire life cycle of the product unit, including pre-production and post-production processes of at least one product; a group unit evaluation unit 230 that adds up the evaluated CO2 reduction rate and profit margin of the entire life cycle of the product unit for each group in which the product is produced, and evaluates the CO2 reduction rate and profit margin corresponding to a plurality of indicators related to greenhouse gas emissions (e.g., Scope 1 to 3) for the group unit; a goal setting unit 400 that sets target values and constraint conditions for the group unit for the CO2 reduction rate and profit margin corresponding to Scope 1 to 3 for the group unit; and a display unit 500 that outputs allocation conditions for, for example, product unit production and procurement, which are necessary to satisfy the target values and constraint conditions for the group unit.
[0057] In this way, it is possible to evaluate the CO2 reduction rate and profit margin for the entire life cycle of the product, including the pre- and post-production processes.
[0058] In this embodiment, the storage unit 100 stores at least one of recycled material, biomaterial, secondhand product, and renewable energy as procurement information 103, stores at least one of production volume, production base, and production plan as production information 102, and stores at least one of selling price, cost, profit margin, and carbon tax as financial information 105, and the display unit 500 outputs, for example, product-by-product production and procurement allocation conditions required to satisfy group-by-group target values and constraint conditions. In this way, the CO2 reduction rate and profit margin for the entire life cycle of the product can be evaluated more accurately while taking into account the output product-by-product production and procurement allocation conditions.
[0059] In this embodiment, the group unit evaluation section 230 divides the groups into a plurality of layers (e.g., groups 1 to 4), and evaluates the CO2 reduction rate and profit rate over the entire life cycle of each group for one or more lower groups (e.g., groups 2 to 4) and a higher group (e.g., group 1). In this way, it is possible to evaluate the CO2 reduction rate and profit rate over the entire life cycle of the product by grouping.
[0060] The optimization system 1 according to this embodiment evaluates the CO2 reduction rate and the profit margin based on any one of the first evaluation conditions that prioritize the CO2 reduction rate, the second evaluation conditions that prioritize the profit margin, and the third evaluation conditions that balance the CO2 reduction rate and the profit margin, and includes a determination unit 300 that outputs, for example, allocation conditions related to the production information 102 and the procurement information 103 required to realize the result of the evaluation to the display unit 500. In this way, various types of evaluations can be repeatedly performed according to the output allocation conditions.
[0061] In this embodiment, the determination unit 300 evaluates the CO2 reduction rate and the profit rate based on the CO2 emission amount and the resource circulation index including the utilization rate of recycled materials, the resource input amount, and the resource discharge amount. In this way, the CO2 reduction rate and the profit rate can be evaluated based on various types of environmental loads.
[0062] The optimization system 1 according to this embodiment includes a target setting unit 400 that sets target values for the CO2 reduction rate and the profit rate. In this way, the evaluation of the CO2 reduction rate and the profit rate can be repeatedly performed so as to approach the set target values for the CO2 reduction rate and the profit rate.
[0063] The optimization system 1 according to this embodiment includes an external information acquisition unit 600 (or an input unit 700) that inputs at least one of the product information 101, CO2 information 104, procurement information 103, production information 102, and financial information 105 from the outside. In this way, it is possible to evaluate the CO2 reduction rate and profit margin over the entire life cycle of each product based on the latest product information 101, CO2 information 104, procurement information 103, production information 102, and financial information 105.
[0064] In this embodiment, the display unit 500 displays the CO2 reduction rate and the profit margin for each of a plurality of indicators (e.g., Scope) related to greenhouse gas emissions and for each product. In this way, the validity of the CO2 reduction rate and the profit margin displayed for each product can be judged for each product.
[0065] In this embodiment, the display unit 500 displays the CO2 reduction rate and the profit rate for each of a plurality of indicators (e.g., Scope) related to greenhouse gas emissions and for each group. In this way, while referring to the CO2 reduction rate and the profit rate displayed for each group, the validity of these CO2 reduction rates and profit rates can be judged for each group, for example, a company, its base, production line, or product.
[0066] The present invention is not limited to the above-described embodiment, and includes various modified examples and equivalent configurations within the spirit of the appended claims. For example, the above-described embodiment has been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to those having all of the described configurations. In addition, each element described in parallel in this embodiment may be in a form in which at least one of the elements is connected in series to the other elements. [Industrial Applicability]
[0067] The present invention can be applied to an optimization system relating to technology for evaluating the environmental load and economic value when manufacturing a product. [Explanation of symbols]
[0068] 100: memory section, 200: calculation section, 220: product unit evaluation section, 230: group unit evaluation section, 300: judgment section, 400: target setting section, 500: display section, 600: external information acquisition section, 700: input section
Claims
1. a storage unit in which product information, environmental load information, procurement information, production information, and financial information are stored as information related to the production of at least one product; a product unit evaluation unit that changes the allocation conditions of the information related to the production of the product stored in the storage unit, and evaluates the environmental impact and economic value of the entire life cycle of the product unit, including the pre-production and post-production processes of the product; a group unit evaluation unit that sums up the evaluated environmental load and economic value over the entire life cycle of the product unit for each group in which the product is produced, and evaluates the environmental load and economic value corresponding to a plurality of indicators related to greenhouse gas emissions for each group; a target setting unit that sets a target value and a constraint condition for each group based on the environmental load and the economic value corresponding to a plurality of indicators related to greenhouse gas emissions for each group; an evaluation and judgment unit that outputs to a display unit distribution conditions required to satisfy the group-based target value and the constraint conditions; An optimization system comprising:
2. The storage unit is As the procurement information, at least one of recycled materials, biomaterials, second-hand products, and renewable energy is stored; As the production information, at least one of a production volume, a production base, and a production plan is stored; As the financial information, at least one of a selling price, a cost price, a profit margin, and a carbon tax is stored; The display unit is Output the distribution conditions required to satisfy the target values and constraints for each group 2. The optimization system according to claim 1 .
3. The group unit evaluation unit The group is divided into a plurality of layers, and the environmental load and the economic value are evaluated for the entire life cycle of each group with respect to one or more lower groups and a higher group.
2. The optimization system according to claim 1 .
4. The evaluation and determination unit is The environmental load and the economic value are evaluated based on any one of the first evaluation conditions that prioritize the environmental load, the second evaluation conditions that prioritize the economic value, and the third evaluation conditions that balance the environmental load and the economic value, and the distribution conditions required to realize the result of the evaluation are output to the display unit.
2. The optimization system according to claim 1 .
5. The evaluation and determination unit is The environmental load and economic value are evaluated based on the amount of CO2 emissions and resource circulation indicators including the utilization rate of recycled materials, the amount of resource input, and the amount of resource output.
5. The optimization system according to claim 4.
6. A target setting unit that sets target values for the environmental load and the economic value.
2. The optimization system according to claim 1 .
7. an information acquisition unit that inputs at least one of the product information, the environmental load information, the procurement information, the production information, and the financial information from an external source; 2. The optimization system according to claim 1 .
8. The display unit is The environmental load and the economic value are displayed for each of the plurality of indices related to the greenhouse gas emissions and for each of the products.
2. The optimization system according to claim 1 .
9. The display unit is Displaying the environmental load and the economic value for each of the plurality of indices related to the greenhouse gas emissions and for each of the groups.
2. The optimization system according to claim 1 .
10. a storage step of storing product information, environmental load information, procurement information, production information, and financial information in a storage unit as information related to the production of at least one product; a product unit evaluation step in which a product unit evaluation unit changes an allocation condition of information related to the production of the product stored in the storage unit, and evaluates the environmental impact and economic value of the entire life cycle of the product unit, including pre-production and post-production processes of the product; a group-unit evaluation step in which a group-unit evaluation unit totals the environmental load and the economic value of the entire life cycle of the evaluated product unit for each group in which the product is produced, and evaluates the environmental load and the economic value corresponding to a plurality of indicators related to greenhouse gas emissions for each group; a target setting step in which a target setting unit sets a target value and a constraint condition for each group based on the environmental load and the economic value corresponding to a plurality of indicators related to greenhouse gas emissions for each group; an evaluation and judgment step in which an evaluation and judgment unit outputs to a display unit a distribution condition required to satisfy the target value and the constraint condition for each group; Optimization method comprising the steps of:
Citation Information
Patent Citations
Environmental load remediation will determination support apparatus
JP2009032132A