Evaluation system and evaluation method

Abstract

Appropriately evaluate the degree of achievement in response to SDG targets. [Solution] The system comprises one or more computers, and the computers perform the following processes: setting multiple indicators corresponding to at least some of the predetermined number of targets set out in the SDGs; adjusting target values ​​corresponding to each of the multiple indicators so that the values ​​derived by predetermined functions including a first function become smaller; and evaluating the degree of achievement of the SDG targets based on the values ​​derived by the predetermined functions, wherein the target values ​​indicate the targets when the theoretical maximum value for the corresponding indicator is normalized as a specific value, and the first function derives a derived value for each indicator that includes subtracting the target value from the specific value and adding the derived values ​​for each indicator, and the higher the respective target values, the smaller the value derived by the first function becomes.

Description

[Technical Field]

[0001] The present invention relates to an evaluation system and an evaluation method. [Background technology]

[0002] The 2030 Agenda for Sustainable Development was adopted at the United Nations Summit in September 2015. Within this, 17 goals and 169 targets were set out as Sustainable Development Goals (SDGs) (Non-Patent Document 1). [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] Ministry of Foreign Affairs, "What are the SDGs?", [online], [Retrieved April 15, 2025], Internet<URL:https: / / www.mofa.go.jp / mofaj / gaiko / oda / sdgs / about / index.html> Summary of the Invention [Problem to be solved by the invention]

[0004] In order to realize a sustainable world, efforts that take into consideration the SDGs are required.

[0005] In view of these issues, the present invention aims to provide an evaluation system and evaluation method that can appropriately evaluate the degree of achievement corresponding to the SDG targets. [Means for solving the problem]

[0006] In order to solve the above problems, the evaluation system of the present invention comprises: one or more computers; The computer A process of setting a plurality of indicators corresponding to at least some of the predetermined number of targets defined in the SDGs; The value derived by the predetermined function including the first function is small. Ru, Target values ​​corresponding to the plurality of indicators Derive the combination of Processing and A process of evaluating the degree of achievement of the targets of the SDGs based on the value derived by the predetermined function; and the target value indicates a target when a theoretical maximum value for the corresponding index is normalized as a specific value; The first function is deriving a derived value for each of the indicators, the derived value including subtracting the target value from the specific value, and adding the derived values ​​for each of the indicators; The higher the respective target values ​​are, the smaller the values ​​derived by the first functions are.

[0007] The predetermined function is further comprising a second function different from the first function; adding a value derived by the second function to a value derived by the first function; The second function is The smaller the difference between the target values, the smaller the value derived by the second function may be.

[0008] The computer a process of setting importance for each of the index and the second function; a process of adjusting the importance corresponding to the index or the second function to be improved; Further carry out the The derived value is a value obtained by subtracting the target value from the specific value and multiplying the result by the importance set for the index corresponding to the target value, The first function is the higher the importance of the index is set, the greater the extent of decrease in the value derived by the first function in response to an increase in the target value corresponding to the index; The second function is The higher the importance level set in correspondence with the second function, the greater the extent to which the value derived by the second function decreases in response to a decrease in the difference between the target values.

[0009] The process of setting each of the indicators includes: As the index, Environmental indicators corresponding to the target of the SDGs, "By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination." High-efficiency indicators that correspond to the target of the SDGs, "Double the global rate of improvement in energy efficiency by 2030." Waste indicators corresponding to the target of the SDGs, "By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse." It may be possible to set an index selected from the following:

[0010] In order to solve the above problems, the evaluation method of the present invention includes: 1. A method of evaluation performed by one or more computers, comprising: The computer A process of setting a plurality of indicators corresponding to at least some of the predetermined number of targets defined in the SDGs; The value derived by the predetermined function including the first function is small. Ru, Target values ​​corresponding to the plurality of indicators Derive the combination of Processing and A process of evaluating the degree of achievement of the targets of the SDGs based on the value derived by the predetermined function; and the target value indicates a target when a theoretical maximum value for the corresponding index is normalized as a specific value; The first function is deriving a derived value for each of the indicators, the derived value including subtracting the target value from the specific value, and adding the derived values ​​for each of the indicators; The higher the respective target values ​​are, the smaller the values ​​derived by the first functions are. [Effects of the Invention]

[0011] According to the present invention, it is possible to appropriately evaluate the degree of achievement corresponding to the targets of the SDGs. [Brief explanation of the drawings]

[0012] [Figure 1] FIG. 1 is a schematic diagram of an evaluation system according to this embodiment. [Figure 2] 2A and 2B are diagrams illustrating an example of the relationship between the manufacturing efficiency and the load factor in a first manufacturing apparatus and a second manufacturing apparatus, respectively. [Figure 3] FIG. 3 is a flowchart showing an example of processing performed by the control device. [Figure 4] FIG. 4 is a diagram illustrating an example of the evaluation of the achievement level. DETAILED DESCRIPTION OF THE INVENTION

[0013] Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Dimensions, materials, and other specific values ​​shown in the embodiments are merely examples for facilitating understanding of the invention and do not limit the present invention unless otherwise specified. In this specification and drawings, elements having substantially the same functions and configurations are designated by the same reference numerals to avoid redundant explanation, and elements not directly related to the present invention are not shown.

[0014] 1 is a schematic diagram of an evaluation system 1 according to this embodiment. The evaluation system 1 includes a control device 10 and a manufacturing facility 20.

[0015] The control device 10 is an information processing device (computer) having a semiconductor integrated circuit including a processor such as a CPU (Central Processing Unit), a ROM (Read Only Memory) in which programs etc. are stored, a RAM (Random Access Memory) used as a work area etc., and a storage device such as an HDD (Hard Disk Drive), an SD Memory, an SSD (Solid State Drive), etc.

[0016] The control device 10 functions as an evaluation unit 10a, a manufacturing plan creation unit 10b, and a manufacturing equipment control unit 10c by running a program, for example. In this embodiment, the evaluation unit 10a, the manufacturing plan creation unit 10b, and the manufacturing equipment control unit 10c are provided in a single information processing device. However, some or all of the evaluation unit 10a, the manufacturing plan creation unit 10b, and the manufacturing equipment control unit 10c may be provided in separate information processing devices.

[0017] The evaluation unit 10a evaluates the degree of achievement of the SDGs targets for energy production in the production facility 20. The processing by the evaluation unit 10a will be described in detail later.

[0018] If the evaluation by the evaluation unit 10a indicates that the degree of achievement is within a predetermined allowable range, the production plan creation unit 10b creates a plan for energy production in the production facility 20. The processing by the production plan creation unit 10b will be described in detail later.

[0019] The manufacturing equipment control unit 10c controls the manufacturing facility 20 to generate energy based on the energy production plan created by the manufacturing plan creation unit 10b, and supplies energy to the consumer 30. The processing of the manufacturing equipment control unit 10c will be described in detail later.

[0020] The manufacturing facility 20 includes one or more manufacturing devices. In this embodiment, as shown in Fig. 1, the manufacturing facility 20 includes a first manufacturing device 20a and a second manufacturing device 20b.

[0021] Specifically, for example, the first manufacturing apparatus 20a may be configured to include a heat source machine (not shown) (for example, an absorption refrigerator, an air-cooled heat pump chiller, a turbo refrigerator, etc.) The heat source machine (not shown) produces a cooled or heated heat medium (for example, steam, hot water, or cold water).

[0022] The second manufacturing equipment 20b may also be configured to include a power generator (not shown) (for example, a CGS (Co-Generation System)). The power generator (not shown) generates electric power and produces a heat medium (for example, steam, hot water, or cold water) by cooling or heating with the heat generated by the generation of electric power.

[0023] The first manufacturing equipment 20a and the second manufacturing equipment 20b are controlled by a manufacturing equipment control unit 10c. The first manufacturing equipment 20a and the second manufacturing equipment 20b provide cooled or heated heat medium (e.g., steam, hot water, or cold water) to a consumer 30 via a conduit (not shown).

[0024] FIG. 2A is a diagram illustrating an example of the relationship between the production efficiency and the load factor in the first production equipment 20a. In FIG. 2A, the vertical axis represents the production efficiency of the heat medium per unit time in the first production equipment 20a, and the horizontal axis represents the load factor per unit time in the first production equipment 20a. For example, the coefficient of performance (COP), i.e., energy consumption efficiency, may be used as the production efficiency of the heat medium. The load factor represents the amount of heat medium produced per unit time in the first production equipment 20a. In other words, the higher the value of the load factor, the greater the amount of heat medium produced per unit time in the first production equipment 20a.

[0025] 2A, when the heat transfer medium is produced by the first production equipment 20a, if the load rate of the first production equipment 20a is increased in the order of L0, L1, and L2, the production efficiency increases from E0 to E1, and then decreases from E1 to E2. That is, when the heat transfer medium is produced by the first production equipment 20a at a load rate L1, which is between the minimum load rate L0 and the maximum load rate L2, the production efficiency tends to be highest. When the heat transfer medium is produced at a load rate exceeding L1, the production efficiency decreases as the load rate increases, creating a trade-off.

[0026] In FIG. 2B , the vertical axis represents the heat transfer medium production efficiency per unit time in the second production equipment 20b, and the horizontal axis represents the load factor per unit time in the second production equipment 20b. As shown in FIG. 2B , when the second production equipment 20b produces a heat transfer medium, if the load factor of the second production equipment 20b is increased in the order of L3, L4, and L5, the production efficiency increases from E3 to E4, and then decreases from E4 to E5. That is, when the second production equipment 20b produces a heat transfer medium at a load factor L4, which is between the minimum load factor L3 and the maximum load factor L5, the production efficiency tends to be highest. However, when the heat transfer medium is produced at a load factor exceeding L4, the production efficiency decreases as the load factor increases, creating a trade-off.

[0027] 2A and 2B, the load factor at which the first manufacturing equipment 20a and the second manufacturing equipment 20b achieve the highest manufacturing efficiency is different. In this embodiment, the load factor at which the second manufacturing equipment 20b achieves the highest manufacturing efficiency is higher than that of the first manufacturing equipment 20a.

[0028] As described above, the load factor at which the production efficiency is highest varies depending on the type of production equipment. Therefore, by setting a load factor that results in a high production efficiency depending on the type of production equipment and combining multiple types of production equipment to produce the heat transfer medium, it becomes possible to produce an appropriate amount of heat transfer medium in accordance with the demand of the consumer 30 with high efficiency. Furthermore, when producing the heat transfer medium, in addition to the above-mentioned production efficiency, it is necessary to consider the amount of waste generated, such as wastewater and waste oil, and environmental loads, such as the NOx concentration in the exhaust gas.

[0029] 3 is a flowchart showing an example of processing performed by the control device 10. The evaluation unit 10a calculates the demand amount, which is the amount of heat medium to be supplied to the consumer 30 (P1-1). For example, the evaluation unit 10a calculates the amount of heat medium to be supplied to the consumer 30 based on data relating to past trends in the demand amount. However, the criteria for calculating the amount of heat medium to be supplied to the consumer 30 are not limited to this, and any criteria may be used.

[0030] Next, the evaluation unit 10a executes an optimization calculation (P1-2). In the optimization calculation, the evaluation unit 10a derives a combination of the values ​​of a1, a2, and a3 that reduces the value of a predetermined function expressed as the sum of the following first and second functions:

[0031] First function: α1×(5-a1)+α2×(5-a2)+α3×(5-a3) Second function: β×{(a1-a2) 2 +(a2-a3) 2 +(a3-a1) 2} Given function: 1st function + 2nd function

[0032] In the optimization calculation, the evaluation unit 10a first extracts a plurality of targets corresponding to at least some of the predetermined number (currently 169) of targets defined in the SDGs. Here, the case where the following three targets A1 to A3 are extracted is shown.

[0033] Target A1 Target 3.9 of SDG Goal 3, "Good Health and Well-Being," states: "By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination."

[0034] Target A2 Target 7.3 of SDG Goal 7, "Affordable and Clean Energy," is "By 2030, double the global rate of improvement in energy efficiency."

[0035] Target A3 Target 12.5 of SDG Goal 12: Responsible Consumption and Production: "By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse."

[0036] In this embodiment, a case where three targets A1 to A3 are extracted is shown, but the number of extracted targets is not limited to this, and may be two or more. Also, in this embodiment, a case where the extracted targets belong to different SDG goals is shown, but the contents of the extracted targets are not limited to the above example. For example, the extracted targets may belong to the same SDG goal.

[0037] Then, a corresponding index is set for each extracted target. Each index is used to quantitatively evaluate the content of the target. In this embodiment, the evaluation unit 10a sets an environmental index as the index corresponding to target A1, a high-efficiency index as the index corresponding to target A2, and a waste index as the index corresponding to target A3.

[0038] In the first and second functions, a1, a2, and a3 indicate target values ​​corresponding to the respective indices. That is, in this embodiment, the target value a1 corresponds to the environmental index, the target value a2 corresponds to the high-efficiency index, and the target value a3 corresponds to the waste index.

[0039] Each target value indicates a target when the theoretical best value is normalized to a specific value (e.g., 5). Each target value may be expressed in six stages using natural numbers from "0" to "5," or may be expressed as a value including a decimal point between "0" and "5" (e.g., an analog value). This allows different indicators to be treated on a common basis. For example, the higher the target value, the more the environmental impacts associated with the corresponding indicator are reduced. In practice, however, values ​​for the production efficiency and load factor may vary depending on various conditions, such as the temperature of the heat transfer medium before cooling or heating. For example, the production efficiency E1 under ideal conditions in the first production apparatus shown in FIG. 2A may be normalized as the theoretical best value, i.e., the maximum value of the production efficiency.

[0040] The above-mentioned target A1 has the goal of "significantly reducing," and the above-mentioned target A3 has the goal of "significantly reducing." On the other hand, the above-mentioned target A2 has the goal of "doubling the improvement rate." In this way, there are cases where the targeted policy of the extracted target coexists with cases where it is to reduce and cases where it is to increase. In such cases, it is sufficient to set the theoretical best value by adopting an appropriate standard, such as using the ideal reduction or increase amount as the standard, or setting the standard using the reciprocal or difference.

[0041] For example, the target value a1 may indicate the degree of achievement of a target related to the NOx concentration in exhaust gas generated when producing the heat transfer medium. Furthermore, for example, the target value a2 may indicate the degree of achievement of a target related to energy efficiency when producing the heat transfer medium. Furthermore, for example, the target value a3 may indicate the degree of achievement of a target related to the amount of wastewater or waste oil generated when producing the heat transfer medium. In this embodiment, by deriving an appropriate combination of the target values ​​a1, a2, and a3 and producing the heat transfer medium based on the derived target values ​​a1, a2, and a3, it is possible to contribute to the realization of a society that takes the SDGs into consideration.

[0042] Furthermore, "α1" in the above-described first function indicates the importance of the environmental index corresponding to the target A1. Furthermore, "α2" in the above-described first function indicates the importance of the high-efficiency index corresponding to the target A2. Furthermore, "α3" in the above-described first function indicates the importance of the waste index corresponding to the target A3. Note that a positive value is set for each importance. In this case, a natural number or a value including a decimal (for example, an analog value) may be set for each importance.

[0043] The first function derives a subtraction value for each index by subtracting a target value from a specific value, and then adds the derived subtraction value to the corresponding value multiplied by the corresponding importance. That is, the first function tends to produce smaller derived values ​​as the target values ​​a1 to a3 become higher. Also, the first function tends to produce larger decreases in the derived values ​​of an index with a higher level of importance as the target value corresponding to that index increases. That is, the significance of the first function is that it sets as high a value as possible for each target value a1 to a3 within the above-mentioned allowable range while taking importance into consideration, i.e., sets realistic targets based on the best value.

[0044] Furthermore, "β" in the above-mentioned second function indicates the importance of the second function.

[0045] The second function derives a value by multiplying the sum of the squared values ​​of the differences between the target values ​​a1 to a3 by the importance of the second function. That is, the smaller the variation in the values ​​between the target values ​​a1 to a3, the smaller the value derived from the second function tends to be. Also, the higher the importance of the second function is set, the greater the decrease in the value derived from the second function tends to be in accordance with the reduction in the variation in the values ​​between the target values ​​a1 to a3. That is, the second function has the significance of setting values ​​that minimize the differences between the target values ​​a1 to a3 while taking the importance into consideration, that is, setting balanced targets.

[0046] The importance levels "α1", "α2", "α3", and "β" may be set to the same value or different values. Furthermore, the more improvement is desired for an index, the relatively higher the value of the corresponding importance level "α1", "α2", and "α3" may be set. Furthermore, when it is desired to reduce the variation in values ​​between the target values ​​a1 to a3, the value of the importance level "β" may be set to a relatively higher value.

[0047] When a combination of target values ​​a1, a2, and a3 is derived by the optimization calculation (P1-2), the evaluation unit 10a evaluates the degree of achievement corresponding to the SDG targets based on the derived results (P1-3). For example, the evaluation unit 10a may evaluate the degree of achievement corresponding to the SDG targets based on the value of a predetermined function represented by the sum of a first function and a second function.

[0048] Fig. 4 is a diagram illustrating an example of evaluation of the degree of achievement. The evaluation unit 10a may evaluate the degree of achievement corresponding to the SDG targets by visualizing a target value a1 corresponding to the environmental index, a target value a2 corresponding to the high-efficiency index, and a target value a3 corresponding to the waste index using a radar chart as shown in Fig. 4. In this case, the degree of achievement corresponding to the SDG targets may be evaluated based on, for example, the area of ​​a polygon (here, a triangle) enclosed by the radar chart.

[0049] Next, the evaluation unit 10a determines whether or not each of the target values ​​a1, a2, and a3 derived in step P1-2 and the achievement level corresponding to the SDG targets evaluated in step P1-3 are within an acceptable range (P1-4). As a result, if each of the target values ​​a1, a2, and a3 derived in step P1-2 and the achievement level corresponding to the SDG targets evaluated in step P1-3 are outside the acceptable range (NO in P1-4), the evaluation unit 10a determines that appropriate importance has not been set, and proceeds to step P1-5, which will be described later.

[0050] In reality, the values ​​of production efficiency and load factor may vary depending on various conditions, such as the temperature of the heat transfer medium before cooling or heating, and therefore the theoretically optimal production efficiency may not be achieved. Therefore, for example, the evaluation unit 10a may determine whether the combination of target values ​​a1, a2, and a3 is within the allowable range based on whether it is realistically possible to produce a heat transfer medium that satisfies the combination of target values ​​a1, a2, and a3, based on the demand calculated in step P1-1 above and the relationship between production efficiency and load factor for each manufacturing device (FIG. 2). Alternatively, for example, if each of the target values ​​a1, a2, and a3 is smaller than a predetermined value (e.g., "1"), it may be determined that the combination is outside the allowable range. Alternatively, for example, if the absolute values ​​of "a1-a2," "a2-a3," and "a3-a1" are greater than a specific value (e.g., "3"), it may be determined that the combination is outside the allowable range.

[0051] Furthermore, for example, the evaluation unit 10a may determine that the achievement level corresponding to the target of the SDGs evaluated in the above step P1-3 is within an acceptable range when the achievement level is equal to or greater than a predetermined specified value.

[0052] The evaluation unit 10a executes an adjustment process (P1-5) and proceeds to step P1-2. In the adjustment process, the evaluation unit 10a adjusts the importance values, for example, by increasing the importance values ​​corresponding to the indexes or second functions for which the importance of improving the values ​​is relatively high and decreasing the importance values ​​corresponding to the indexes or second functions for which the importance of improving the values ​​is relatively low. This allows appropriate importance to be set taking into account the importance of improving the values. For example, the evaluation unit 10a may determine that the target values ​​a1, a2, and a3 smaller than a predetermined value (e.g., "1") need improvement and adjust the corresponding importance values ​​to be increased (e.g., 1.5 times). Furthermore, for example, when the absolute values ​​of "a1-a2," "a2-a3," and "a3-a1" are greater than a specific value (e.g., "3"), it may determine that the balance is poor and adjust the corresponding importance "β" value to be increased (e.g., 1.5 times).

[0053] In this way, the processes of steps P1-2 to P1-5 are repeatedly executed until it is determined that the combination of target values ​​a1, a2, and a3 derived in step P1-2 and the degree of achievement corresponding to the SDG targets evaluated in step P1-3 are within an acceptable range (YES in P1-4).

[0054] If it is determined that the values ​​are within the allowable range (YES in P1-4), the production plan creation unit 10b creates a production plan for the heat transfer medium (P1-6). Here, the production plan creation unit 10b creates a production plan for the heat transfer medium so as to satisfy the combination of the target values ​​a1, a2, and a3 derived in the above step P1-2. The production plan may include settings for the type of manufacturing equipment to be operated and the load factor of the manufacturing equipment to be operated.

[0055] The manufacturing equipment control unit 10c controls the first manufacturing equipment 20a and the second manufacturing equipment 20b in accordance with the energy plan created in step P1-6 above to manufacture the heat medium (P1-7). Then, the first manufacturing equipment 20a and the second manufacturing equipment 20b provide the manufactured heat medium to the consumer 30 via a conduit (not shown).

[0056] In the above embodiment, three targets A1 to A3 are extracted, but the number of extracted targets may be two or more, and all targets (currently 169) defined in the SDGs may be included.

[0057] In this case, the following 1n-th function and 2n-th function may be used instead of the above first function and second function.

[0058] 1nth function: α1×(5-a1)+α2×(5-a2)+…+αn×(5-an) 2nd n function: β×{(a1-a2) 2 +(a2-a3) 2 +…+(an-a1) 2}

[0059] In addition, "a1" to "an" in the above 1n function indicate the target values ​​corresponding to the indicators of each target defined in the SDGs. Also, "α1" to "αn" in the above 1n function indicate the importance of the indicators of each target defined in the SDGs. Also, "β" in the above 2n function indicates the importance of the 2nd function.

[0060] As described above, the evaluation system according to this embodiment causes a computer to perform the following processes. A process of setting a plurality of indicators corresponding to at least some of the predetermined number of targets defined in the SDGs (P1-2 in the above embodiment, as an example). A process of adjusting target values ​​corresponding to a plurality of indexes so that values ​​derived by predetermined functions including the first function become smaller (P1-2 in the above embodiment, as an example). A process of evaluating the degree of achievement of SDG targets based on values ​​derived by a predetermined function (P1-3 in the above embodiment, as an example). The target value indicates a target when the theoretical maximum value for the corresponding index is normalized to a specific value ("5" in the above embodiment, as an example). The first function (as an example in the above embodiment, α1×(5-a1)+α2×(5-a2)+α3×(5-a3)) derives a derived value for each index, which is derived by subtracting a target value from a specific value, and adds the derived values ​​for each index. The first function is such that the higher the target value, the smaller the value derived by the first function.

[0061] According to the evaluation system 1 of this embodiment, it is possible to appropriately evaluate the degree of achievement corresponding to the targets of the SDGs.

[0062] The predetermined function is a second function different from the first function (in the above embodiment, for example, β×{(a1−a2) 2 +(a2-a3) 2 +(a3-a1) 2}). The predetermined function may be a function that adds a value derived by a first function to a value derived by a second function. The second function may be such that the smaller the difference between the target values, the smaller the value derived by the second function.

[0063] This makes it possible to evaluate the degree of achievement of SDG targets, taking into account the degree of variation between target values.

[0064] The computer may further perform a process (P1-2, for example, in the above embodiment) of setting importance (α1, α2, α3, β, for example) for each of the indexes and the second function. A process of adjusting the importance corresponding to the index or second function to be improved (P1-5 in the above embodiment, as an example) may further be performed. The derived value may be a value obtained by subtracting a target value from a specific value and multiplying the result by the importance level set for the index corresponding to the target value. The first function may be such that the higher the importance of an index is set, the greater the extent of the decrease in the value derived by the first function in response to an increase in the target value corresponding to that index. The second function may be such that the higher the importance set corresponding to the second function, the greater the extent of decrease in the value derived by the second function in response to a decrease in the difference between the target values.

[0065] In this way, it is possible to adjust the importance appropriately according to the importance of improving the value.

[0066] The process of setting each indicator may be capable of setting an indicator selected from the following: an environmental indicator corresponding to the SDG target "By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination," a high-efficiency indicator corresponding to the SDG target "By 2030, double the global rate of improvement in energy efficiency," and a waste indicator corresponding to the SDG target "By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse."

[0067] In this way, for example, it becomes possible to quantitatively evaluate the environmental load when producing the heat medium to be supplied to the customer 30.

[0068] While the preferred embodiments of the present invention have been described above with reference to the accompanying drawings, it goes without saying that the present invention is not limited to such embodiments. It is clear that those skilled in the art can conceive of various modifications and alterations within the scope of the claims, and it is understood that such modifications and alterations also fall within the technical scope of the present invention.

[0069] The processing according to the present embodiment described above may be implemented using software, hardware, or a combination of software and hardware. The program constituting the software is stored in advance in, for example, a non-transitory storage medium provided inside or outside the information processing device. The program is then read from, for example, the non-transitory storage medium (for example, a ROM) to a transitory storage medium (for example, a RAM) and executed by a processor such as a CPU.

[0070] Furthermore, a program for realizing each function of the information processing device can be created and installed in the information processing device. The processor then executes the program stored in the memory, thereby performing the above-described processing. At this time, the program may be shared and executed by multiple processors, or the program may be executed by a single processor. Furthermore, the processing may be performed by cloud computing using multiple computers interconnected by a communication network (not shown). The program may be provided to the information processing device by distribution from an external device via a communication network (not shown), and then installed.

[0071] Also provided are programs that cause the information processing device to function as the evaluation unit 10a, the manufacturing plan creation unit 10b, and the manufacturing equipment control unit 10c, as well as computer-readable storage media such as flexible disks, magneto-optical disks, ROMs, CDs, DVDs, and BDs on which the programs are recorded. Here, the program refers to data processing means written in any language or description method.

[0072] The processes shown in this specification do not necessarily have to be performed in chronological order according to the order shown in the flowcharts, but may include parallel or subroutine processes. Furthermore, the above-described embodiment and various modifications may be implemented as an information processing method (evaluation method) that realizes the functions and processes shown in the flowcharts. [Explanation of symbols]

[0073] 1. Rating System 10 Control device 10a Evaluation section 10b Manufacturing Planning Department 10c Manufacturing equipment control section 20 Manufacturing equipment 20a 1st manufacturing equipment 20b 2nd manufacturing equipment 30 Consumer

Claims

1. one or more computers; The computer A process of setting a plurality of indicators corresponding to at least some of the predetermined number of targets defined in the SDGs; a process of deriving a combination of target values ​​corresponding to the plurality of indicators, each of which has a small value derived by a predetermined function including a first function; A process of evaluating the degree of achievement of the targets of the SDGs based on the value derived by the predetermined function; and the target value indicates a target when a theoretical maximum value for the corresponding index is normalized as a specific value; The first function is deriving a derived value for each of the indicators, the derived value including subtracting the target value from the specific value, and adding the derived values ​​for each of the indicators; An evaluation system in which the higher each of the target values ​​is, the smaller the value derived by the first function is.

2. The predetermined function is further comprising a second function different from the first function; adding a value derived by the second function to a value derived by the first function; The second function is The evaluation system according to claim 1 , wherein the smaller the difference between the target values, the smaller the value derived by the second function.

3. The computer a process of setting importance for each of the index and the second function; a process of adjusting the importance corresponding to the index or the second function to be improved; Further carry out the The derived value is a value obtained by subtracting the target value from the specific value and multiplying the result by the importance set for the index corresponding to the target value, The first function is the higher the importance of the index is set, the larger the extent of decrease in the value derived by the first function in response to an increase in the target value corresponding to the index, The second function is The evaluation system according to claim 2, wherein the higher the importance set corresponding to the second function, the greater the decrease in the value derived by the second function in response to a decrease in the difference between the target values.

4. The process of setting each of the indicators includes: As the index, An environmental indicator corresponding to the target of the SDGs, "By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination." A high-efficiency indicator that corresponds to the target of the SDGs, "by 2030, double the global rate of improvement in energy efficiency." A waste indicator corresponding to the target of the SDGs, "By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse." The evaluation system according to claim 1 , wherein an index selected from the following can be set.

5. 1. A method of evaluation performed by one or more computers, comprising: The computer A process of setting a plurality of indicators corresponding to at least some of the predetermined number of targets defined in the SDGs; a process of deriving a combination of target values ​​corresponding to the plurality of indicators, each of which has a small value derived by a predetermined function including a first function; A process of evaluating the degree of achievement of the targets of the SDGs based on the value derived by the predetermined function; and the target value indicates a target when a theoretical maximum value for the corresponding index is normalized as a specific value; The first function is deriving a derived value for each of the indicators, the derived value including subtracting the target value from the specific value, and adding the derived values ​​for each of the indicators; An evaluation method, wherein the higher each of the target values ​​is, the smaller the value derived by the first function is.

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