Enterprise production optimization methods, devices, equipment and media based on sustainability

Abstract

The present invention provides a method, device, equipment and medium for enterprise production optimization based on sustainability, which belongs to the technical field of enterprise production management. The method includes: based on the enterprise's sustainable marginal cost, the enterprise's sustainability rating score and the initial production quantity of the product, with the goal of maximizing the comprehensive benefit of the enterprise, constructing an enterprise performance optimization objective function, and determining the constraints of the enterprise performance optimization objective function; optimizing and solving the enterprise performance optimization objective function to determine the optimal initial production quantity of the product that meets the constraints of the enterprise performance optimization objective function; sending the optimal initial production quantity of the product to the enterprise, so that the enterprise can formulate a production plan based on the optimal initial production quantity of the product. The present invention achieves a dual improvement in the economic profit and sustainable development of the enterprise by optimizing the production quantity and incorporating sustainability standards.

Description

Technical Field

[0001] The present invention relates to the technical field of enterprise production management, and in particular to a sustainability-based enterprise production optimization method, a sustainability-based enterprise production optimization device, an electronic device and a computer-readable storage medium. Background Art

[0002] In today's business environment, companies are constantly seeking ways to improve production efficiency and reduce costs in order to remain competitive. Production optimization has become a key strategy for companies to improve their market performance and economic benefits. However, existing production optimization technologies mainly focus on cost control and resource allocation, often ignoring the long-term sustainability and non-financial performance indicators of the company.

[0003] At present, the use of advanced mathematical models, data analysis tools and algorithms has helped companies improve production efficiency and reduce production costs. These technologies can help companies better predict market demand, optimize inventory management, and improve production line efficiency, thereby achieving improved economic benefits.

[0004] However, existing enterprise production optimization technologies do not take environmental, social and governance factors into consideration, which leads to enterprises ignoring their sustainable development while pursuing economic benefits. Summary of the invention

[0005] The purpose of the embodiments of the present invention is to provide a method, device, equipment and medium for enterprise production optimization based on sustainability to solve the above problems.

[0006] In order to achieve the above objectives, an embodiment of the present invention provides a method for optimizing enterprise production based on sustainability, including:

[0007] Based on the enterprise's sustainable marginal cost, the enterprise's sustainability rating score and the initial production quantity of the product, with the goal of maximizing the enterprise's comprehensive benefits, the enterprise performance optimization objective function is constructed, and the constraints of the enterprise performance optimization objective function are determined;

[0008] Solve the enterprise performance optimization objective function and determine the optimal initial production quantity of the product that meets the constraints;

[0009] The optimal initial production quantity of the product is sent to the enterprise so that the enterprise can formulate a production plan based on the optimal initial production quantity of the product.

[0010] Optionally, the enterprise performance optimization objective function is:

[0011] Y max =C p+Z; where Y max Indicates the maximum comprehensive benefit of the enterprise, C p represents the benefits obtained by consumers from purchasing products, and Z represents the sustainable profit of the enterprise.

[0012] Optionally, the calculation rule for the benefits obtained by consumers from purchasing products is as follows:

[0013] C p =VPf*|X c -S|; where C p represents the benefits obtained by consumers from purchasing products, V represents the selling price of the product, P represents the promotional price of the product, f represents the unit distance transportation cost, X c represents the location coordinates of the consumer, and S represents the location coordinates of the enterprise.

[0014] Optionally, the calculation rules for the sustainable profit of an enterprise are as follows:

[0015] Z=Z p -f*|X c -S|-w*E; where Z represents the sustainable profit of the enterprise, Z p represents the profit of the enterprise, f represents the unit distance transportation cost, X c represents the location coordinates of the consumer, S represents the location coordinates of the enterprise, w represents the marginal sustainability cost of the enterprise, and E represents the sustainability rating score of the enterprise.

[0016] Optionally, the profit of the enterprise is calculated as follows:

[0017] Z p =(PQ z )*N z ; Among them, Z p represents the profit of the enterprise, P represents the promotional price of the product, Q z represents the marginal cost of product production, N z Indicates the actual production quantity of the product.

[0018] Optionally, the actual production quantity of the product is calculated as follows:

[0019] Among them, N z represents the actual production quantity of the product, D represents the initial production quantity of the product, C represents the fixed cost, R represents the expected profit, V represents the selling price of the product, and P represents the promotional price of the product.

[0020] Optionally, the constraints of the enterprise performance optimization objective function are:

[0021] Among them, Z represents the sustainable profit of the enterprise, Cp represents the benefits consumers get from purchasing products, V represents the selling price of the product, P represents the promotional price of the product, and Q z represents the marginal cost of product production, N z Indicates the actual production quantity of the product, N max Indicates the maximum quantity of products produced by the enterprise.

[0022] In a second aspect of the embodiments of the present invention, a device for optimizing enterprise production based on sustainability is provided, comprising:

[0023] A function building module is used to build an enterprise performance optimization objective function based on the enterprise's sustainable marginal cost, the enterprise's sustainability rating score and the initial production quantity of the product, with the goal of maximizing the enterprise's comprehensive benefits, and to determine the constraints of the enterprise performance optimization objective function;

[0024] Function solving module, used to find the optimal solution to the enterprise performance optimization objective function and determine the optimal initial production quantity of the product that meets the constraint conditions;

[0025] The planning module is used to send the optimal initial production quantity of the product to the enterprise so that the enterprise can formulate a production plan based on the optimal initial production quantity of the product.

[0026] In a third aspect of the embodiments of the present invention, an electronic device is provided, including: a processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the machine-readable instructions are executed by the processor, the above-mentioned sustainability-based enterprise production optimization method is executed.

[0027] In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, storing computer instructions, which, when executed on a computer, enable the computer to execute the above-mentioned sustainability-based enterprise production optimization method.

[0028] Beneficial effects of the present invention:

[0029] (1) Improving overall benefits: By optimizing production quantity, the economic profit of the enterprise can be increased while ensuring that sustainability standards are met, thereby maximizing overall benefits.

[0030] (2) Promoting sustainable development: Incorporating sustainability factors into the optimization model will help companies adopt more environmentally friendly and socially responsible production methods, thereby promoting the long-term sustainable development of the company.

[0031] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0033] Figure 1 is a flow chart of a method for optimizing enterprise production based on sustainability provided by an embodiment of the present invention;

[0034] Figure 2 It is a schematic diagram of the structure of an enterprise production optimization device based on sustainability provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0037] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0038] Embodiment 1

[0039] Please refer to Figure 1 , Figure 1 : is a flow chart of a method for optimizing enterprise production based on sustainability provided by an embodiment of the present invention, the method comprising the following steps:

[0040] S100, based on the enterprise's sustainable marginal cost, the enterprise's sustainability rating score and the initial production quantity of the product, with the goal of maximizing the enterprise's comprehensive benefits, constructs the enterprise performance optimization objective function and determines the constraints of the enterprise performance optimization objective function;

[0041] The marginal cost of sustainability for an enterprise refers to the additional cost incurred by each additional unit of product or service when the enterprise implements environmental, social and corporate governance measures. These costs may include investments in improving environmental protection facilities, improving employee benefits, and enhancing transparency and compliance.

[0042] The sustainability rating of a company refers to a quantitative score given by a rating agency based on the company's performance in three aspects: environmental protection, social responsibility, and corporate governance. This score is usually used to measure a company's sustainable development capabilities and social responsibility performance, and is an important basis for investors, partners, and other stakeholders to evaluate a company.

[0043] The initial production quantity of a product refers to the number of products initially planned or actually produced from the design to mass production stage. This quantity may be determined based on market research, demand forecasts, production capacity and other factors, and is the basis for formulating production plans, raw material procurement and cost budgets.

[0044] The comprehensive benefits of an enterprise refer to the sum of the economic, social and environmental benefits generated by the enterprise during its operation. This includes not only the financial benefits of the enterprise, but also its contribution to society (such as providing employment, promoting community development, etc.) and environmental protection (such as energy conservation and emission reduction, resource recycling, etc.). The comprehensive benefits reflect the overall results of the enterprise's pursuit of sustainable development.

[0045] In one embodiment, the enterprise performance optimization objective function is: max =C p +Z; where Y max Indicates the maximum comprehensive benefit of the enterprise, C p represents the benefits obtained by consumers from purchasing products, and Z represents the sustainable profit of the enterprise.

[0046] In one embodiment, the calculation rule of the profit obtained by consumers from purchasing products is as follows:

[0047] C p =VPf*|X c -S|; where C p represents the benefits obtained by consumers from purchasing products, V represents the selling price of the product, P represents the promotional price of the product, f represents the unit distance transportation cost, X c represents the location coordinates of the consumer, and S represents the location coordinates of the enterprise.

[0048] In one embodiment, the calculation rule of the enterprise's sustainable profit is as follows:

[0049] Z=Z p -f*|X c -S|-w*E; where Z represents the sustainable profit of the enterprise, Z p represents the profit of the enterprise, f represents the unit distance transportation cost, X crepresents the location coordinates of the consumer, S represents the location coordinates of the enterprise, w represents the marginal sustainability cost of the enterprise, and E represents the sustainability rating score of the enterprise.

[0050] Specifically, the calculation rules for the enterprise's profit are as follows:

[0051] Z p =(PQ z )*N z Among them, Z p represents the profit of the enterprise, P represents the promotional price of the product, Q z represents the marginal cost of product production, N z Indicates the actual production quantity of the product.

[0052] Specifically, the calculation rules for the actual production quantity of the product are as follows:

[0053] Among them, N z represents the actual production quantity of the product, D represents the initial production quantity of the product, C represents the fixed cost, R represents the expected profit, V represents the selling price of the product, and P represents the promotional price of the product.

[0054] In one embodiment, the constraints of the enterprise performance optimization objective function are:

[0055] Among them, Z represents the sustainable profit of the enterprise, C p represents the benefits consumers get from purchasing products, V represents the selling price of the product, P represents the promotional price of the product, and Q z represents the marginal cost of product production, N z Indicates the actual production quantity of the product, N max Indicates the maximum quantity of products produced by the enterprise.

[0056] S200, searching and solving the enterprise performance optimization objective function to determine the optimal initial production quantity of the product that meets the constraint conditions;

[0057] Specifically, in an embodiment of the invention, the enterprise performance optimization objective function can be directly optimized and solved to obtain the optimal initial production quantity of the product that meets the constraints of the enterprise performance optimization objective function. The target optimization algorithm can also be used to optimize the enterprise performance optimization objective function to obtain the optimal initial production quantity of the product that meets the constraints of the enterprise performance optimization objective function.

[0058] Objective optimization algorithms are a class of mathematical methods used to find the best solution under given constraints in order to maximize or minimize one or more objective functions. These algorithms are widely used in fields such as engineering, economics, decision science, and machine learning.

[0059] In one embodiment, the multi-objective optimization algorithm includes, but is not limited to: Linear Programming (LP), Nonlinear Programming (NLP), Integer Programming (IP), Dynamic Programming (DP), Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), Neural Network Optimization. The embodiment of the present invention does not specifically limit this.

[0060] The following is a detailed introduction to the multi-objective optimization algorithm:

[0061] Linear programming: Linear programming is a method in mathematical optimization, which is used to solve the optimal value (maximum or minimum value) of a linear objective function under given linear inequality or equality constraints. It is widely used in resource allocation, production planning, transportation problems and other fields.

[0062] Nonlinear programming: Nonlinear programming is to solve the optimization problem when at least one of the objective function or constraints is nonlinear. It is more complicated than linear programming because nonlinear problems usually have no general solution and need to be designed according to the specific problem.

[0063] Integer Programming: Integer programming is a special case of linear programming or nonlinear programming where the variables must be integers. In practical problems, integer programming is used in situations where the variables must be integers, such as project selection, equipment purchase, etc.

[0064] Dynamic programming: Dynamic programming is a method for solving complex problems in mathematics, management science, economics, bioinformatics, etc. It solves optimization problems by breaking them down into relatively simple sub-problems, and is particularly suitable for solving multi-stage decision-making process problems.

[0065] Genetic algorithm: Genetic algorithm is a heuristic search algorithm that simulates the principles of natural selection and genetics and optimizes problem solutions through selection, crossover and mutation operations. It is suitable for solving complex problems that are difficult to solve with traditional optimization methods.

[0066] Particle Swarm Optimization: Particle swarm optimization is an optimization tool based on swarm intelligence that simulates the social behavior of bird flocks or fish schools to find the optimal solution to the problem. Each "particle" represents a candidate solution in the problem space and adjusts its position by tracking its own historical best position and the best position of the entire group.

[0067] Simulated annealing: Simulated annealing is a general probabilistic algorithm used to find the global optimal solution to a given problem. The algorithm is inspired by the annealing process of solid materials and searches the solution space globally by slowly reducing the "temperature" (control parameter) to avoid falling into the local optimal solution.

[0068] Neural Network Optimization: Neural network optimization is the use of artificial neural networks to solve optimization problems. It usually involves training a neural network to predict or classify data and minimizing the prediction error by adjusting the network's weights and biases.

[0069] In order to understand how to use the optimization algorithm to find the optimal solution to the objective function of coal transportation cost, the following is an example of particle swarm optimization:

[0070] Step 1, initialize the particle swarm: randomly generate a certain number of particles, each particle represents a candidate solution in the problem space (i.e. the initial production quantity of the product). Each particle has its own position and speed. The position corresponds to the solution space of the objective function, and the speed determines the speed and direction of the particle's movement in the solution space.

[0071] Step 2, evaluate particle fitness: calculate the value of the objective function (i.e., the overall benefit of the enterprise) for the position of each particle, and use this value as the particle fitness. In optimization problems, we usually want to maximize the objective function, so the lower the fitness, the better the solution.

[0072] Step 3, update the individual best and global best: each particle will remember its best position in history, and the entire particle group will share the global best position found so far.

[0073] Step 4, update particle speed and position: Update the speed and position of each particle based on the current speed, individual best position and global best position. The speed update formula usually contains inertia weight, cognitive component and social component, and the position update is based on the new speed.

[0074] Step 5, iterative optimization: Repeat steps 2 to 4 until the termination condition is met, such as reaching the maximum number of iterations, the change in the global best fitness is less than a certain threshold, or the accuracy requirement of the problem is met.

[0075] Step 6, output result: The final global optimal position is the approximate optimal solution of the objective function found by the algorithm.

[0076] S300, sending the optimal initial production quantity of the product to the enterprise, so that the enterprise can formulate a production plan based on the optimal initial production quantity of the product.

[0077] The specific implementation methods of sending the optimal initial production quantity of the product to the enterprise can be the following three specific implementation methods:

[0078] (1) Internal system: Utilize the production module of the enterprise ERP system or the function integrated with MES to enter the optimal initial production quantity of products in a specific area, and set permissions to only authorize production planners to view and download. Data flow between ERP and MES can also be used to provide a scheduling basis for workshop production.

[0079] (2) Email: Develop a standard template, mark the product information in the subject line, and include product details, initial quantity, planned deadline, etc. The template is sent to the person in charge of production and requires a reply to confirm.

[0080] (3) Instant messaging: Post messages in the company's internal work group, including product information and quantity, and attach links to explanatory documents, and use read receipts to confirm viewing status.

[0081] In one embodiment, the optimal initial production quantity of the product is transmitted in the form of a specification table, and the specifications are not limited to: product number, name, quantity, unit, batch, etc.

[0082] Beneficial effects of the present invention:

[0083] (1) Improving overall benefits: By optimizing production quantity, the economic profit of the enterprise can be increased while ensuring that sustainability standards are met, thereby maximizing overall benefits.

[0084] (2) Promoting sustainable development: Incorporating sustainability factors into the optimization model will help companies adopt more environmentally friendly, socially responsible and transparent production methods, thereby promoting the long-term sustainable development of the company.

[0085] Embodiment 2

[0086] Based on the same inventive concept, Figure 2 As shown, the embodiment of the present invention further provides a device 200 for optimizing enterprise production based on sustainability, comprising:

[0087] Function construction module 210, for constructing an enterprise performance optimization objective function based on the enterprise's sustainable marginal cost, the enterprise's sustainability rating score and the initial production quantity of the product, with the goal of maximizing the enterprise's comprehensive benefits, and determining the constraints of the enterprise performance optimization objective function;

[0088] Function solving module 220, used to search and solve the enterprise performance optimization objective function, and determine the optimal initial production quantity of the product that meets the constraint conditions;

[0089] The planning module 230 is used to send the optimal initial production quantity of the product to the enterprise so that the enterprise can formulate a production plan based on the optimal initial production quantity of the product.

[0090] It should be understood that the device corresponds to the above-mentioned embodiment of the enterprise production optimization method based on sustainability, and can execute the various steps involved in the above-mentioned method embodiment. The specific functions of the device can be found in the description above. To avoid repetition, the detailed description is appropriately omitted here. The device includes at least one software function module that can be stored in a memory in the form of software or firmware or solidified in the operating system (OS) of the device.

[0091] Embodiment 3

[0092] Based on the same inventive concept, an embodiment of the present invention further provides an electronic device, including: a processor and a memory, the memory storing machine-readable instructions executable by the processor, and the machine-readable instructions executing the above-mentioned sustainability-based enterprise production optimization method when executed by the processor.

[0093] In a typical configuration, an electronic device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0094] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0095] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0096] Embodiment 4

[0097] Based on the same inventive concept, an embodiment of the present invention further provides a computer-readable storage medium storing computer instructions. When the computer instructions are executed on a computer, the computer executes the above-mentioned enterprise production optimization method based on sustainability.

[0098] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0099] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0100] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0101] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0102] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0103] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist separately, or two or more modules can be integrated to form an independent part.

[0104] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0105] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for optimizing enterprise production based on sustainability, characterized in that: include: Based on the enterprise's sustainable marginal cost, the enterprise's sustainability rating score and the initial production quantity of the product, with the goal of maximizing the enterprise's comprehensive benefits, the enterprise performance optimization objective function is constructed, and the constraints of the enterprise performance optimization objective function are determined; Solve the enterprise performance optimization objective function and determine the optimal initial production quantity of the product that meets the constraints; The optimal initial production quantity of the product is sent to the enterprise so that the enterprise can formulate a production plan based on the optimal initial production quantity of the product.

2. The enterprise production optimization method based on sustainability according to claim 1 is characterized in that: The enterprise performance optimization objective function is: Y max =C p +Z; where Y max Indicates the maximum comprehensive benefit of the enterprise, C p represents the benefits obtained by consumers from purchasing products, and Z represents the sustainable profit of the enterprise.

3. The enterprise production optimization method based on sustainability according to claim 2 is characterized in that: The calculation rules for the benefits obtained by consumers from purchasing products are as follows: C p =VPf*|X c -S|; where C p represents the benefits obtained by consumers from purchasing products, V represents the selling price of the product, P represents the promotional price of the product, f represents the unit distance transportation cost, X c represents the location coordinates of the consumer, and S represents the location coordinates of the enterprise.

4. The enterprise production optimization method based on sustainability according to claim 2 is characterized in that: The calculation rules for the sustainable profit of an enterprise are as follows: Z=Z p -f*X c -Sw*E; where Z represents the sustainable profit of the enterprise, Z p represents the profit of the enterprise, f represents the unit distance transportation cost, X c represents the location coordinates of the consumer, S represents the location coordinates of the enterprise, w represents the marginal sustainability cost of the enterprise, and E represents the sustainability rating score of the enterprise.

5. The enterprise production optimization method based on sustainability according to claim 4 is characterized in that: The calculation rules for the enterprise's profit are as follows: Z p =(PQ z )*N z Among them, Z p represents the profit of the enterprise, P represents the promotional price of the product, Q z represents the marginal cost of product production, N z Indicates the actual production quantity of the product.

6. The enterprise production optimization method based on sustainability according to claim 5 is characterized in that: The calculation rules for the actual production quantity of the product are as follows: Among them, N z represents the actual production quantity of the product, D represents the initial production quantity of the product, C represents the fixed cost, R represents the expected profit, V represents the selling price of the product, and P represents the promotional price of the product.

7. The enterprise production optimization method based on sustainability according to claim 2 is characterized in that: The constraints of the enterprise performance optimization objective function are: Among them, Z represents the sustainable profit of the enterprise, C p represents the benefits consumers get from purchasing products, V represents the selling price of the product, P represents the promotional price of the product, and Q z represents the marginal cost of product production, N z Indicates the actual production quantity of the product, N max Indicates the maximum quantity of products produced by the enterprise.

8. A device for optimizing enterprise production based on sustainability, characterized in that: include: A function building module is used to build an enterprise performance optimization objective function based on the enterprise's sustainable marginal cost, the enterprise's sustainability rating score and the initial production quantity of the product, with the goal of maximizing the enterprise's comprehensive benefits, and to determine the constraints of the enterprise performance optimization objective function; Function solving module, used to find the optimal solution to the enterprise performance optimization objective function and determine the optimal initial production quantity of the product that meets the constraint conditions; The planning module is used to send the optimal initial production quantity of the product to the enterprise so that the enterprise can formulate a production plan based on the optimal initial production quantity of the product.

9. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the machine-readable instructions are executed by the processor, the enterprise production optimization method based on sustainability described in any one of claims 1 to 7 is executed.

10. A computer-readable storage medium storing computer instructions, characterized in that: When the computer instructions are executed on a computer, the computer is enabled to execute the enterprise production optimization method based on sustainability according to any one of claims 1 to 7.

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