Optimization system and optimization method

WO2025088865A1PCT designated stage expired Publication Date: 2025-05-01HITACHI LTD
View PDF 3 Cites 0 Cited by

Patent Information

Application Number
PCT/JP2024/027324
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-10-27
Filing Date
2024-07-31
Publication Date
2025-05-01

AI Technical Summary

Technical Problem

The prior art is difficult to effectively evaluate the environmental impact and economic value of a product throughout its life cycle, especially before and after the production process.

Method used

An optimization system and method is designed to evaluate the environmental load and economic value of the product throughout the life cycle by storing product information, environmental load information, procurement information, production information and financial information, and set goals and constraints based on multiple indicators such as greenhouse gas emissions, output the necessary allocation conditions to meet these goals and constraints.

Benefits of technology

A comprehensive assessment of the environmental impact and economic value of the product throughout its life cycle is achieved, enabling the optimization of production plans to reduce environmental impacts while maintaining economic benefits.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure JP2024027324_01052025_PF_FP_ABST
    Figure JP2024027324_01052025_PF_FP_ABST
Patent Text Reader

Abstract

The present invention is provided with: a product level evaluation unit that changes allocation conditions of information related to production of a product and evaluates an environmental load and economic value of the entire life cycle, including processes before and after production of the product, at the product level; a group level evaluation unit that aggregates, at the level of a group in which the product is produced, the evaluated environmental load and economic value of the entire life cycle of the product level, and evaluates an environmental load and economic value corresponding to a plurality of indices relating to greenhouse gas emissions at the group level; a target setting unit that sets a target value and constraint condition at the group level on the basis of the environmental load and economic value corresponding to the plurality of indices relating to greenhouse gas emissions at the group level; and an evaluation determination unit that outputs, to a display unit, an allocation condition necessary for satisfying the target value and constraint condition at the group level.
Need to check novelty before this filing date? Find Prior Art

Description

Optimization system and optimization method

[0001] The present invention relates to an optimization system and an optimization method, and is suitable for application to an optimization system relating to a technology for evaluating the environmental load and economic value when manufacturing a product, for example.

[0002] In recent years, there has been growing interest in environmental considerations in the production of products. However, excessive environmental considerations can result in 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 for a product or part in a factory should be reduced in order to achieve a reduction target value for the environmental impact, when the reduction target value is set for the entire product, the entire process, the entire business, or the like.

[0003] JP 2009-32132 A

[0004] However, the technology disclosed in Patent Document 1 targets the environmental load within the factory where the product is produced and optimizes the production plan 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 impact and economic value of a product throughout its entire life cycle, including pre- and post-production processes.

[0006] In order to solve this problem, the present invention comprises a memory unit that stores product information, environmental load information, procurement information, production information, and financial information 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 processes before and after the production 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 a plurality of indicators related to greenhouse gas emissions for each group; a target setting unit that sets target values ​​and constraint conditions for each group based on the environmental load and economic value corresponding to a plurality of indicators related to greenhouse gas emissions for each group; and an evaluation and judgment unit that outputs allocation conditions required to satisfy the target values ​​and constraint conditions for each group to a display unit.

[0007] Furthermore, the present invention includes 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 of a product-unit evaluation unit changing allocation conditions for the information related to the production of the product stored in the storage unit and evaluating the environmental load and economic value of the entire life cycle of the product unit, including processes before and after the production of the product; a group-unit evaluation step of a group-unit evaluation unit adding 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 evaluating the environmental load and economic value corresponding to a plurality of indicators related to greenhouse gas emissions for each group; a target setting step of a target value and constraint conditions for each group based on the environmental load and economic value corresponding to a plurality of indicators related to greenhouse gas emissions for each group; and an evaluation and judgment step of an evaluation and judgment unit outputting allocation conditions required to satisfy the target value and constraint conditions for each group to a display unit.

[0008] According to the present invention, it is possible to evaluate the environmental impact and economic value of a product over its entire life cycle, including pre- and post-production processes.

[0009] It is a block diagram showing an example of the system configuration of an optimization system according to the present embodiment. It is a diagram showing an example of grouping evaluation results of bases, production lines, and products in a certain company. It is a flowchart showing an example of the procedure of evaluation processing. It is a diagram showing an example of an LCA simulation screen.

[0010] An embodiment of the present invention will be described in detail below with reference to the drawings. Fig. 1 is a block diagram showing an example of the 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 determination 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 storage unit 100 stores product information 101, production information 102, procurement information 103, CO 2 The product information 101, production information 102, procurement information 103, CO2 information 104, and financial information 105 are input from an external device such as a sequencer at the production site via the external information acquisition unit 600, or are input manually via the input unit 700.

[0012] The product information 101 includes at least one of the following information for identifying multiple products: the product name, serial number, product name, composition, sales year, sales country, production quantity, 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: production volume, production base, and production plan, for example.

[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, information on whether the product is a recycled material, a biomaterial, a second-hand product, or whether it is renewable energy.

[0014] The CO2 information 104 is an example of information related to environmental load. Of the multiple indicators Scope 1 to 3 related to greenhouse gas emissions, 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 financial information related to the production of the product. The financial information 105 includes, for example, at least one of the selling price, cost price, profit margin, and carbon tax. The financial information 105 further includes, for example, information related to the production cost, electricity cost, and carbon tax.

[0016] The calculation unit 200 includes a product-based evaluation unit 220 and a group-based evaluation unit 230. The product-based evaluation unit 220 has a function of changing the allocation amount, which is an example of an allocation condition, of information related to the production of a product stored in the storage unit 100, and evaluating how the environmental impact and economic value of the product change throughout its entire life cycle, including pre- and post-production processes (hereinafter also referred to as "evaluation of environmental impact and economic value"). Here, the allocation amount is used as an example of an allocation condition, but other conditions, such as an allocation rate (allocation proportion), 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. Note that in this embodiment, the environmental load may be other environmental loads such as the CO2 reduction amount in addition to the above-mentioned CO2 reduction rate. Furthermore, in this embodiment, the economic value may be other economic values ​​such as the profit amount or the investment amount in addition to the above-mentioned profit rate.

[0018] The group-based evaluation unit 230 has a function of summing up the CO2 reduction rate and profit rate for the entire life cycle of each product evaluated by the product-based 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-based evaluation unit 230 will be described later.

[0019] Here, in this embodiment, "the entire life cycle" refers to the entire cycle of a product's production, from the stage of raw materials before they become finished products in a factory, to the stage when the finished product is shipped and finally disposed of.

[0020] In this embodiment, for example, Scopes 1 to 3 are given as the multiple indices related to the greenhouse gas emissions described above. These Scopes 1 to 3 will be explained. Scopes 1 to 3 indicate, for example, indices of greenhouse gas emissions in a supply chain related to a product. Scope 1 indicates the direct amount of greenhouse gas emissions associated with business activities. Scope 2 indicates the indirect amount of greenhouse gas emissions in the production stage of heat and energy used in business activities. Scope 3 indicates the amount of greenhouse gas emissions that are indirectly emitted other than those in 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 CO 2 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 the function of setting various types of allocations (e.g., allocation amount, allocation rate, allocation proportion) regarding the extent to which renewable energy should replace the allocation of existing energy currently consumed to produce the product, when considering it on a product-by-product basis.

[0023] The recycled material allocation setting unit 222 has the function of setting various allocations (e.g., allocation amount, allocation rate, allocation proportion) regarding the extent to which recycled materials will replace 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 the function of evaluating, when considered on a product-by-product basis, how much the environmental load (e.g., CO2 reduction rate or CO2 emissions) can be reduced on a product-by-product basis if the above-mentioned allocations are changed to produce the product.

[0025] When considering on a product-by-product basis, the profit margin evaluation unit 224 has the function of evaluating how much the profit margin will change on a product-by-product basis when the above-mentioned allocations are changed to produce the product.

[0026] The constraint condition evaluation unit 225 evaluates whether or not the CO2 reduction rate for each product evaluated by the CO2 reduction amount evaluation unit 223 and the profit rate for each product evaluated by the profit rate evaluation unit 224 satisfy constraint conditions that are set in advance for each product. Here, the constraint conditions refer to, for example, conditions imposed on fuel, renewable energy, recycled materials, mass balance, and the like consumed in producing a product in order to reduce the CO2 reduction rate.

[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] For example, when considering a company (or each of its bases or each of its production lines) (hereinafter referred to as a "group unit"), the renewable energy procurement amount evaluation unit 231 evaluates, for example, how much renewable energy the company can procure from its own renewable energy sources, such as solar power generation, or 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 how much CO2 can be reduced (CO2 reduction rate) when considering the group or other unit.

[0031] The profit margin evaluation unit 234 has a function of evaluating how much 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 constraint conditions that are set in advance for each group. Specific examples of constraint conditions include, for example, cost constraints when determining an investment budget in consideration of cost-effectiveness in ERP (Enterprise Resource Planning), personnel constraints when determining the structure, number, and level of participation of the company's personnel to be engaged in the implementation work, and timing constraints when formulating an implementation schedule taking busy periods into consideration and determining the timing of actual operation taking into consideration maintenance deadlines for existing resources, etc.

[0033] The judgment unit 300 has a function of evaluating the CO2 reduction rate and the profit margin based on one of the following evaluation conditions, for example: 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. that are necessary to realize the results of the evaluation to the display unit 500 (see the center to right side of Figure 4 described below).

[0034] 2 is a diagram showing an example of grouping the evaluation results of bases, production lines, and products of a certain company. In this embodiment, the group-based evaluation unit 230 has a function of dividing the groups into multiple layers (in this embodiment, as an example, groups 1 to 4), 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 (e.g., groups 2 to 4) and a higher group (e.g., group 1), and obtaining the evaluation results.

[0035] More specifically, in this embodiment, the evaluation results are divided into groups as follows: First, Group 1, the highest group, contains the evaluation results for the entire company. Group 2, the highest group, contains the evaluation results for bases A and B. Group 3, the lowest group, contains the evaluation results for production lines A1, A2, B1, and B2. Group 4, the lowest group, contains the evaluation results for products A11-A13, A21-A23, and B11-B13, and B21-B23. Note that in the illustrated example, Groups 1-4 are sequentially arranged from the highest to the lowest group, as Group 1, Group 2, Group 3, and Group 4; however, at least one group between the highest and lowest groups may be omitted, and the grouping may be set to span at least one group.

[0036] 3 is a flowchart showing an example of the procedure of the evaluation process. First, an outline of an LCA (Life Cycle Assessment) optimization method (hereinafter referred to as the unit "optimization method") using the optimization system 1 according to this embodiment will be described. The optimization method, which includes the evaluation processing 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 a storage unit 100 as information related to the production of at least one product; a product-by-production evaluation step in which a product-by-production evaluation unit 220 changes allocation conditions for the information related to the production of the product and evaluates the CO2 reduction rate and profit margin for the entire life cycle of the product unit, including processes before and after production of the product; a group-by-production evaluation step in which a group-by-production evaluation unit 230 totals the evaluated CO2 reduction rates and profit margins for the entire life cycle of the product unit for each group in which the product is produced, and evaluates the CO2 reduction rates and profit margins of Scopes 1 to 3 for each group; a goal setting step in which a target value and constraint conditions for each group are set by a target setting unit 400 based on the CO2 reduction rates and profit margins of Scopes 1 to 3 for each group; and an evaluation and determination step in which a determination unit 300 outputs allocation conditions required to satisfy the target value and constraint conditions for each group to a display unit 500. The allocation conditions mentioned above may include, for example, conditions for production and procurement of each product, and may further include conditions relating to any one or a 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. These will be explained in detail below.

[0037] In step S1, the target setting unit 400 sets at least one of target values ​​for the CO2 reduction rate and profit rate for each product and target values ​​for the CO2 reduction rate and 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, production information 102, procurement information 103, CO2 information 104, and 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 recycled materials for each group.

[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-based evaluation unit 230 sums up the CO2 reduction rates for each product in each group and evaluates the CO2 reduction rate for each group. In step S8, the profit margin evaluation unit 224 of the group-based evaluation unit 230 sums up the profit margins for each product in each group and evaluates the profit margin for each group.

[0043] In step S9, the calculation unit 200 outputs an LCA simulation screen including the evaluation results by the CO2 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 to the display unit 500.

[0044] Specifically, the display unit 500 displays an LCA simulation screen including, from the center to the right, a detailed column for CO2 reduction rate and profit margin, a cost column, and a CN activity column according to a specific calculation condition selected from a plurality of calculation conditions (calculation condition 25 shown in FIG. 4 is exemplified). The detailed column for CO2 reduction rate and profit margin shows an example of a CO2 reduction rate for each product and each group. The cost column shows an example of a profit margin for each product and each group.

[0045] The LCA simulation screen displays the CO2 reduction rate and the profit margin for each scope and for each product, for example. Furthermore, the LCA simulation screen displays the CO2 reduction rate and the profit margin 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, this evaluation result graph is a graph showing the evaluation results when, for example, the horizontal axis represents the CO2 reduction rate [%] and the vertical axis represents the profit margin [%]. The evaluation result graph displays a graph of the optimal plan in an arc extending upward from the upper left corner to the lower right corner of the display range. In the evaluation result graph, a KPI indicator corresponding to a predetermined KPI for the amount of CO2 reduction is displayed vertically (in the direction in which the profit margin [%] increases from 0), and the KPI indicator intersects with the graph of the optimal 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 CO2 reduction rate can be improved to 36% and the profit margin to 18%, which is the optimal plan under the above calculation conditions 25 (not shown).

[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, the renewable energy allocation setting unit 221 in the product unit evaluation unit 220 changes the renewable energy allocation setting again, and the recycled material allocation setting unit 222 changes the recycled material allocation setting again.

[0050] In step S10, the calculation unit 200 repeatedly executes the above-described process (for example, the above process including steps S3 to S9) until the target values ​​of the CO2 reduction rate and 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 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 profit margin based on one of the evaluation conditions, for example, the first evaluation condition that prioritizes the CO2 reduction rate, the second evaluation condition that prioritizes the profit margin, and the third evaluation condition that 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 procurement information 193 necessary to realize the results of the evaluation, from the above-mentioned product information 101, CO2 information 104, procurement information 103, production information 102, and financial information 105.

[0053] Here, the determination unit 300 evaluates the CO2 reduction rate and profit rate based on, for example, the amount of CO2 emissions as an environmental load and a resource circulation index including the utilization rate of recycled materials, the amount of resource input, and the amount of resource output.

[0054] In step S12, the constraint condition evaluation unit 225 of the product unit evaluation unit 220 evaluates whether the CO2 reduction rate per product evaluated by the CO2 reduction amount evaluation unit 223 and the profit margin per product 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 rate evaluated by the profit rate evaluation unit 234 satisfy the constraint conditions.

[0056] As described above, the optimization system 1 according to this embodiment includes: a storage 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 an allocation condition for information related to the production of a product stored in the storage unit 100, and evaluates the CO2 reduction rate and profit margin for the entire life cycle of the product unit, including pre- and post-production processes for at least one product; a group-unit evaluation unit 230 that totals the evaluated CO2 reduction rate and profit margin for 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., Scopes 1 to 3) for the group unit; a target setting unit 400 that sets target values ​​and constraint conditions for the group unit for the CO2 reduction rate and profit margin corresponding to Scopes 1 to 3 for the group unit; and a display unit 500 that outputs allocation conditions for, for example, production and procurement for the product unit, which are required 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 rate for the entire life cycle of the product, including the processes before and after production of the product.

[0058] In this embodiment, the storage unit 100 stores, as procurement information 103, at least one of whether the material is recycled, biomaterial, or secondhand, and whether it is renewable energy; the production information 102 stores at least one of production volume, production base, and production plan; and the financial information 105 stores at least one of sales price, cost, profit margin, and carbon tax. The display unit 500 outputs, for example, production and procurement allocation conditions for each product, which are necessary to satisfy the target values ​​and constraints for each group. In this way, the CO2 reduction rate and profit margin for the entire life cycle of the product can be more accurately evaluated while taking into account the output production and procurement allocation conditions for each product.

[0059] In this embodiment, the group unit evaluation unit 230 divides the groups into multiple layers (e.g., groups 1 to 4), and evaluates the CO2 reduction rate and profit rate throughout the 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 throughout the life cycle of a product by dividing it into groups.

[0060] The optimization system 1 according to this embodiment evaluates 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 includes a determination unit 300 that outputs, for example, allocation conditions related to the production information 102 and procurement information 103 required to realize the results of the evaluation to a 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 amount of resource input, and the amount of resource output. 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 profit rate. In this way, the CO2 reduction rate and profit rate can be repeatedly evaluated so as to approach the set target values ​​for the CO2 reduction rate and profit rate.

[0063] The optimization system 1 according to this embodiment includes an external information acquisition unit 600 (or an input unit 700) that externally inputs at least one of the product information 101, CO2 information 104, procurement information 103, production information 102, and financial information 105. 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 profit rate 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 profit rate can be determined for each product by referring to the CO2 reduction rate and profit rate displayed 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, by referring to the CO2 reduction rate and the profit rate displayed for each group, the validity of these CO2 reduction rates and the profit rate can be judged for each group, such as a company, its base, production line, or product.

[0066] The present invention is not limited to the above-described embodiments, and includes various modifications and equivalent configurations within the spirit and scope of the appended claims. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to those including all of the described configurations. Furthermore, the elements described in parallel in the present embodiment may be configured such that at least one of the elements is connected in series to the other elements.

[0067] The present invention can be applied to an optimization system relating to technology for evaluating the environmental load and economic value when producing a product.

[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. An optimization system comprising: 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 a plurality of indicators related to greenhouse gas emissions for each group; a goal setting unit that sets target values ​​and constraint conditions for each group based on the environmental load and economic value corresponding to a plurality of indicators related to greenhouse gas emissions for each group; and an evaluation and judgment unit that outputs the allocation conditions necessary to satisfy the target values ​​and constraint conditions for each group to a display unit.

2. The optimization system described in claim 1, characterized in that the memory unit stores, as the procurement information, at least one of whether the material is recycled, bio-material, second-hand, or renewable energy, the production information stores, as the production information, at least one of production volume, production base, and production plan, and the financial information stores, as the financial information, at least one of selling price, cost, profit margin, and carbon tax, and the display unit outputs the allocation conditions necessary to satisfy the target values ​​and constraint conditions for each group.

3. The optimization system according to claim 1, characterized in that the group-based evaluation unit divides the groups into multiple layers and evaluates the environmental load and the economic value over the entire life cycle of the group-based evaluation unit with respect to one or more lower-level groups and a higher-level group.

4. The optimization system described in claim 1, characterized in that the evaluation and judgment unit evaluates the environmental load and the economic value based on any one of the following evaluation conditions: a first evaluation condition that prioritizes the environmental load, a second evaluation condition that prioritizes the economic value, and a third evaluation condition that balances both the environmental load and the economic value, and outputs to the display unit the allocation conditions required to realize the results of the evaluation.

5. The optimization system according to claim 4, characterized in that the evaluation and judgment unit evaluates the environmental load and the economic value based on a resource circulation index including CO2 emissions, a utilization rate of recycled materials, and a resource input and output amount.

6. The optimization system according to claim 1, further comprising a target setting unit that sets target values ​​for the environmental load and the economic value.

7. The optimization system according to claim 1, further comprising an information acquisition unit for inputting at least one of the product information, the environmental load information, the procurement information, the production information, and the financial information from outside.

8. The optimization system according to claim 1, characterized in that the display unit displays the environmental load and the economic value for each of a plurality of indicators related to the greenhouse gas emissions and for each product.

9. The optimization system according to claim 1, characterized in that the display unit displays the environmental load and the economic value for each of a plurality of indicators related to the greenhouse gas emissions and for each of the groups.

10. An optimization method comprising: 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- 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 required to satisfy the target value and constraint conditions for the group unit.

Citation Information

Patent Citations

  • Design support device

    JP2002251416A

  • Environmental load remediation will determination support apparatus

    JP2009032132A

  • Environmental load information management method and information processing device

    WO2023105695A1