Cloud manufacturing enterprise low-carbon cooperative evolution analysis method and related products

Abstract

The invention relates to the technical field of cloud manufacturing services, in particular to a cloud manufacturing enterprise low-carbon cooperative evolution analysis method and related products. The evolutionary game process of suppliers, demanders and supply and demand parties is analyzed from the three aspects of transverse low-carbon cooperation between supplier clusters, transverse low-carbon cooperation between demander clusters and longitudinal low-carbon cooperation between suppliers and demanders; therefore, suppliers, demanders and supply and demand parties can be guided to make specific low-carbon cooperation decisions. And meanwhile, the cloud platform can be guided to select low-carbon cooperation incentive decisions matched with suppliers, demanders and supply and demand parties, so that the transformation of low-carbon cooperation of supply and demand enterprises is better promoted.

Description

Technical Field

[0001] This invention relates to the technical field of cloud manufacturing services, and in particular to a method for analyzing the low-carbon collaborative evolution of cloud manufacturing enterprises and related products. Background Technology

[0002] Enterprises, as the main actors in energy conservation and emission reduction, actively implement low-carbon emission reduction measures. However, corporate carbon reduction differs from its own operations, involving numerous stakeholders. This makes it difficult for enterprises to achieve carbon reduction in practice, necessitating close cooperation among enterprises across the supply chain. This includes sharing emission reduction technologies, establishing carbon reduction standards, sharing carbon emission data, and jointly procuring low-carbon materials. Low-carbon cooperation is the foundation for promoting the development of a low-carbon supply chain.

[0003] Due to the high costs of carbon emission reduction, the lack of transparency in carbon emission information and technology, and the difficulty of centralized government supervision, the effectiveness of corporate cooperation in emission reduction is poor. With the development of industrial internet technology, large-scale industrial cloud manufacturing platforms are becoming trendsetters leading the entire industrial revolution, such as Aerospace Cloud Network and Haier COSMOPlat. Leveraging internet technology, cloud platforms connect various manufacturing enterprises, enabling them to interact on carbon emission reduction information, knowledge, and technologies without time and space constraints. Based on big data analysis, cloud platforms help supply and demand companies make more environmentally friendly carbon emission reduction decisions, actively promoting the low-carbon transformation of manufacturing enterprises.

[0004] Whether cloud manufacturing companies engage in low-carbon cooperation is not only related to the cost of low-carbon inputs, but also closely linked to government policies (such as low-carbon subsidies, carbon taxes, and carbon trading mechanisms) and the decisions of other stakeholders. All stakeholders engage in a game of strategy with the goal of maximizing their own benefits. The strategy of cloud manufacturing companies is {low-carbon cooperation, no low-carbon cooperation}. When making low-carbon investments, cloud manufacturing companies weigh the costs and benefits, which is a long-term, dynamic evolutionary process. Cloud platforms, acting as intermediaries between supply and demand companies, incentivize and guide their choices regarding low-carbon cooperation strategies. Supply and demand companies exhibit bounded rationality; influenced by government policies and cloud platform incentives, they are profit-maximizing oriented, observing, learning, and adjusting their low-carbon strategies accordingly.

[0005] Existing technologies only discuss the construction process of the evolutionary game model for tripartite low-carbon cooperation, without specifically explaining the application of this evolutionary game model in practice, thus failing to promote the transformation and implementation of low-carbon cooperation between supply and demand enterprises. Summary of the Invention

[0006] In view of the shortcomings of the prior art described above, the purpose of this invention is to provide a method and related products for analyzing the evolution of low-carbon cooperation in cloud manufacturing enterprises, so as to analyze the co-evolution process of low-carbon cooperation between the supply and demand sides in a two-layer network of supplier and demand groups, and to design the strategy evolution rules of supplier and demand groups based on peer effect and conformity effect.

[0007] To achieve the above and other related objectives, this invention provides a method for analyzing the evolution of low-carbon cooperation in cloud manufacturing enterprises, the method comprising:

[0008] Release task requirements and manufacturing services;

[0009] The released task requirements will be matched with manufacturing services to identify the clusters of demanders and suppliers for low-carbon cooperation.

[0010] The study analyzes the evolution of low-carbon cooperation among supplier clusters, demander clusters, and the interaction between supplier and demander clusters to guide suppliers, demanders, and both supply and demand sides in making low-carbon cooperation decisions. It also guides the cloud platform to select low-carbon cooperation incentives that match the suppliers, demanders, and both supply and demand sides.

[0011] Optionally, the aforementioned analysis of the low-carbon cooperation evolution among supplier clusters to guide suppliers in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match the suppliers includes:

[0012] Select supplier clusters for low-carbon cooperative bargaining;

[0013] Suppliers choose low-carbon cooperation strategies to create a competitive or cooperative game relationship among supplier clusters;

[0014] Construct a game theory model for the evolution of low-carbon cooperation among suppliers;

[0015] Supplier emission reduction information release;

[0016] Calculate the revenue of the supplier cluster by combining the emission reduction information released by the suppliers;

[0017] Set up supplier game scenarios, including low-carbon cooperation evolution or low-carbon cooperation stochastic evolution. In the low-carbon cooperation evolution scenario, the supplier cluster evolves its strategy based on the replication dynamic equation. In the low-carbon cooperation stochastic evolution scenario, the suppliers evolve their strategy based on the Moran process.

[0018] Set incentive methods and thresholds for suppliers to cooperate in low-carbon initiatives. The incentive methods include low-carbon cooperation rewards, non-low-carbon cooperation penalties, low-carbon input cost sharing, and greenness subsidies. The incentive threshold is the minimum standard for triggering incentives.

[0019] Output the low-carbon cooperation rate of the supplier cluster;

[0020] Based on the low-carbon cooperation rate, guide suppliers in making low-carbon cooperation decisions;

[0021] Based on the low-carbon cooperation rate, guide the cloud platform to make low-carbon cooperation incentive decisions.

[0022] Optionally, the aforementioned analysis of the low-carbon cooperation evolution among demander clusters to guide demanders in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match the demanders includes:

[0023] Choose a cluster of demanders to engage in low-carbon cooperative bargaining.

[0024] Demanders choose low-carbon cooperation strategies to create a competitive or cooperative game relationship among demander clusters.

[0025] Construct a game theory model for the evolution of low-carbon cooperation between demanders and suppliers;

[0026] Information on emission reductions by demanders;

[0027] Calculate the revenue of the demander cluster by combining the emission reduction information released by the demanders;

[0028] Set up a demand-side game scenario, which includes low-carbon cooperation evolution or low-carbon cooperation stochastic evolution. In the low-carbon cooperation evolution scenario, the demand-side cluster evolves its strategy based on the replication dynamic equation, while in the low-carbon cooperation stochastic evolution scenario, the demand-side cluster evolves its strategy based on the Moran process.

[0029] Set up low-carbon cooperation incentive methods and incentive thresholds for demanders. Low-carbon cooperation incentive methods include low-carbon cooperation rewards and consumption subsidies, and incentive thresholds are the minimum standards for triggering incentives.

[0030] Output the low-carbon cooperation rate of the demander cluster;

[0031] Based on the low-carbon cooperation rate, guide demanders to make low-carbon cooperation decisions;

[0032] Based on the low-carbon cooperation rate, guide the cloud platform to make low-carbon cooperation incentive decisions.

[0033] Optionally, the aforementioned analysis of the low-carbon cooperation and interaction evolution between the supplier cluster and the demand cluster to guide both parties in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match both parties includes:

[0034] Choose between supplier clusters and demander clusters for low-carbon cooperative negotiation.

[0035] Both supply and demand sides should choose low-carbon cooperation strategies to create a competitive or cooperative game relationship between supplier clusters or demander clusters.

[0036] A game theory model for the co-evolution of low-carbon cooperation between supply and demand sides is constructed, in which the supplier group evolves low-carbon cooperation based on the Fermi rule, and the demand group evolves low-carbon cooperation based on the Aspiration-driven rule.

[0037] Both suppliers and consumers should release emission reduction information separately.

[0038] Based on the emission reduction information released by both the supply and demand sides, the revenue of the supplier cluster and the demand cluster are calculated separately;

[0039] Incentive methods and thresholds for low-carbon cooperation are set separately for both supply and demand sides. The incentive methods for low-carbon cooperation for suppliers include low-carbon cooperation rewards, non-low-carbon cooperation penalties, low-carbon input cost sharing, and greenness subsidies. The incentive methods for low-carbon cooperation for demanders include low-carbon cooperation rewards and consumption subsidies. The incentive threshold is the minimum standard for triggering incentives.

[0040] Output the low-carbon cooperation rate of the supply and demand clusters, that is, analyze the evolution trend of low-carbon cooperation between the supply and demand sides under different low-carbon cooperation incentives, and determine the final low-carbon cooperation rate.

[0041] Based on the low-carbon cooperation rate, guide both supply and demand sides to make low-carbon cooperation decisions;

[0042] Based on the low-carbon cooperation rate, the cloud platform is guided to make low-carbon cooperation incentive decisions, that is, to select the best low-carbon cooperation incentive method and incentive threshold for both supply and demand sides.

[0043] Optionally, the matching of published task requirements with manufacturing services includes:

[0044] Obtain information on manufacturing resources, which include hardware manufacturing resources, software manufacturing resources, and manufacturing capabilities;

[0045] Virtualize manufacturing resources and transform them into cloud manufacturing services through standardized descriptions;

[0046] Based on the bilateral matching algorithm, the published task requirements and manufacturing services are matched to determine the appropriate task requirements and manufacturing services.

[0047] Another aspect of the present invention provides a low-carbon cooperation evolution analysis system for cloud manufacturing enterprises, the system comprising:

[0048] The task requirement publishing module is used by task providers to publish task requirements;

[0049] The manufacturing service publishing module is used by suppliers to publish manufacturing services;

[0050] The supply and demand matching module is used to match the published task requirements with manufacturing services in order to identify the demand clusters and supplier groups for low-carbon cooperation.

[0051] The emission reduction information release module is used by supply and demand enterprises to release emission reduction information;

[0052] The supplier low-carbon cooperation decision-making submodule is used to conduct low-carbon cooperation evolution analysis among supplier clusters to guide suppliers in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match the suppliers.

[0053] The demander low-carbon cooperation decision-making submodule is used to conduct low-carbon cooperation evolution analysis among demander clusters to guide demanders in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match the demanders.

[0054] The supply and demand side low-carbon cooperation and interaction decision-making submodule is used to conduct low-carbon cooperation and interaction evolution analysis between supplier clusters and demander clusters, so as to guide both parties to make low-carbon cooperation decisions and guide the cloud platform to select low-carbon cooperation incentive decisions that match both parties.

[0055] Optionally, the system further includes a resource layer, which stores manufacturing resource information and transforms manufacturing resources into cloud manufacturing services. Manufacturing resources include hardware manufacturing resources, software manufacturing resources, and manufacturing capabilities.

[0056] Optionally, the system also includes an application layer for supply and demand enterprises and platform operators to exchange information through the cloud platform's interface.

[0057] In another aspect, the present invention provides a machine-readable storage medium having a machine-executable program stored thereon, wherein the machine-executable program, when executed by a processor, implements any of the cloud manufacturing enterprise low-carbon cooperation evolution analysis methods described above.

[0058] In another aspect, the present invention provides a computer device including a memory, a processor, and a machine-executable program stored in the memory and running on the processor, wherein the processor, when executing the machine-executable program, implements any of the cloud manufacturing enterprise low-carbon cooperation evolution analysis methods described above.

[0059] In this invention's method for analyzing the evolution of low-carbon cooperation in cloud manufacturing enterprises, the evolutionary game process of suppliers, demanders, and both supply and demand sides is analyzed from three perspectives: horizontal low-carbon cooperation among supplier clusters, horizontal low-carbon cooperation among demander clusters, and vertical low-carbon cooperation between suppliers and demanders. This analysis guides suppliers, demanders, and both supply and demand sides to make specific low-carbon cooperation decisions. Simultaneously, it can also guide cloud platforms to select low-carbon cooperation incentive decisions that match those of suppliers, demanders, and both supply and demand sides, thereby better promoting the transformation and implementation of low-carbon cooperation among supply and demand enterprises. Attached Figure Description

[0060] Figure 1 This is a flowchart of a low-carbon cooperation evolution analysis among supplier clusters according to an embodiment of the present invention;

[0061] Figure 2 This is a flowchart illustrating the evolutionary analysis of low-carbon cooperation among demander clusters according to an embodiment of the present invention;

[0062] Figure 3 This is a flowchart of a low-carbon cooperation evolution analysis between the supply and demand sides according to an embodiment of the present invention;

[0063] Figure 4 This is an architecture diagram of a cloud manufacturing enterprise low-carbon cooperation evolution analysis system in one embodiment of the present invention;

[0064] Figure 5 This is a schematic diagram of the operation mode of the cloud manufacturing enterprise low-carbon cooperation evolution analysis system in one embodiment of the present invention;

[0065] Figure 6 This is a block diagram of the operation of a cloud manufacturing enterprise low-carbon cooperation evolution analysis system in one embodiment of the present invention;

[0066] Figure 7 This is a schematic diagram of a machine-readable storage medium according to an embodiment of the present invention;

[0067] Figure 8 This is a schematic diagram of a computer device according to an embodiment of the present invention. Detailed Implementation

[0068] The following reference Figures 1 to 8 This invention describes a low-carbon collaborative evolution analysis method for cloud manufacturing enterprises and related products.

[0069] This invention provides a method for analyzing the evolution of low-carbon cooperation in cloud manufacturing enterprises. The evolution analysis method includes:

[0070] Posting task requirements and manufacturing services. Task requirements refer to the "manufacturing-related requests that need to be completed by others" posted by the requester, clearly stating "what is needed and how it should be done". Manufacturing services refer to the "manufacturing-related services that can be provided" posted by the supplier, clearly stating "what can be provided and how it can be done".

[0071] The released task requirements are matched with manufacturing services to identify the supplier clusters that meet the task requirements of the demanders and the demander clusters that meet the manufacturing service requirements of the suppliers, thereby identifying the demander clusters and supplier groups for low-carbon cooperation negotiations.

[0072] For example, if a customer posts a task requiring the processing of 50 parts, then a supplier's manufacturing service offering equipment for processing those parts would match that task. However, there might be more than one supplier offering such equipment, resulting in multiple suppliers fulfilling the customer's needs. These multiple suppliers forming a supplier cluster are crucial for securing low-carbon cooperation with the customer. To achieve this, the supplier cluster needs to engage in strategic negotiation, managing their own profits, costs, and risks to gain the opportunity to collaborate with the customer.

[0073] This study analyzes the evolution of low-carbon cooperation among supplier clusters, demander clusters, and the interaction between supplier and demander clusters. This analysis aims to guide suppliers, demanders, and both supply and demand sides in making low-carbon cooperation decisions, and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that are compatible with these groups. Specifically, the low-carbon cooperation incentive decisions that are compatible with these groups refer to the optimal low-carbon cooperation incentive decisions for each of them.

[0074] By analyzing the evolutionary game process of suppliers, consumers, and both supply and demand sides from three perspectives—horizontal low-carbon cooperation among supplier clusters, horizontal low-carbon cooperation among consumer clusters, and vertical low-carbon cooperation between suppliers and consumers—this analysis can guide suppliers, consumers, and both supply and demand sides in making specific low-carbon cooperation decisions. Simultaneously, it can also guide cloud platforms in selecting low-carbon cooperation incentive decisions that match the needs of suppliers, consumers, and both supply and demand sides, thereby better promoting the transformation and implementation of low-carbon cooperation among supply and demand enterprises.

[0075] Further, refer to Figure 1 This involves conducting low-carbon cooperation evolution analysis among supplier clusters to guide suppliers in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match the suppliers, including:

[0076] Step S101: Select the supplier cluster to engage in low-carbon cooperative game.

[0077] Step S102: Suppliers select low-carbon cooperation strategies to create a competitive or cooperative game relationship among supplier clusters. Low-carbon strategy choices include: {low-carbon cooperation, no low-carbon cooperation}.

[0078] Step S103: Construct an evolutionary game model for supplier low-carbon cooperation. This involves determining the supplier's payoff matrix under both low-carbon and non-low-carbon cooperation scenarios, constructing the payoff function for each of the two options, and thus building the evolutionary game model for supplier low-carbon cooperation.

[0079] Step S104, Supplier Emissions Reduction Information Release. This involves suppliers releasing emissions reduction information such as carbon emission reduction amounts, carbon emission reduction revenue growth rates, and carbon emission reduction input costs.

[0080] Step S105: Calculate the revenue of the supplier cluster based on the emission reduction information released by the suppliers. Specifically, calculate the revenue of the suppliers under two options: whether or not they engage in low-carbon cooperation, based on the suppliers' emission reduction information.

[0081] Step S106: Set up the supplier game scenario. The supplier game scenario includes low-carbon cooperation evolution or low-carbon cooperation stochastic evolution. In the low-carbon cooperation evolution scenario, the supplier cluster evolves its strategy based on the replicating dynamic equation, while in the low-carbon cooperation stochastic evolution scenario, suppliers evolve their strategies based on the Moran process. Low-carbon cooperation evolution is suitable for stable and controllable market environments, i.e., the factors affecting supplier decisions do not change significantly and supplier decisions are not disturbed by sudden factors; therefore, it is based on the replicating dynamic equation for strategy evolution. Low-carbon cooperation stochastic evolution is suitable for complex and uncertain market environments, i.e., there are random disturbance factors affecting supplier decisions; therefore, it is based on the Moran process for strategy evolution.

[0082] Step S107: Set the low-carbon cooperation incentive methods and incentive thresholds for suppliers. Low-carbon cooperation incentive methods include: low-carbon cooperation rewards, non-low-carbon cooperation penalties, low-carbon input cost sharing, and greenness subsidies, which need to be based on three policies: government low-carbon subsidies, carbon trading mechanisms, and carbon taxes. The incentive threshold is the minimum standard for triggering incentives.

[0083] Step S108: Output the low-carbon cooperation rate of the supplier cluster. This involves analyzing the evolution trend of low-carbon cooperation among suppliers under different low-carbon cooperation incentives and determining the low-carbon cooperation rate of the supplier cluster.

[0084] Step S109: Based on the low-carbon cooperation rate, guide suppliers to make low-carbon cooperation decisions, i.e., choose whether to engage in low-carbon cooperation.

[0085] Set target and minimum targets for the low-carbon cooperation rate. When the low-carbon cooperation rate is greater than or equal to the target rate, it indicates that low-carbon cooperation has become the mainstream strategy for the supplier cluster, with adequate incentives and superior returns; suppliers should prioritize or maintain this strategy. When the target rate is greater than the low-carbon cooperation rate and greater than or equal to the minimum target rate, it indicates that the supplier cluster is in a strategy adjustment period and needs to make a judgment based on its own returns. If the supplier's own low-carbon cooperation returns are greater than or equal to the returns from not cooperating, then cooperation should continue; if the supplier's own low-carbon cooperation returns are less than the returns from not cooperating, then low-carbon investment should not be increased for the time being, and cost pressures can be reported to the platform to apply for increased incentives. When the low-carbon cooperation rate is less than the minimum target rate, it indicates that most suppliers choose not to cooperate, which may be due to insufficient incentives; suppliers need to make careful decisions.

[0086] Step S110: Based on the low-carbon cooperation rate, guide the cloud platform to make low-carbon cooperation incentive decisions, that is, select the best low-carbon cooperation incentive method and incentive threshold for suppliers.

[0087] Set target and minimum targets for the low-carbon cooperation rate. When the low-carbon cooperation rate is greater than or equal to the target rate, it indicates that the existing incentives are effective, and incentive costs need to be controlled to avoid excessive subsidies. When the target rate is greater than the low-carbon cooperation rate and greater than or equal to the minimum target rate, it indicates that the existing incentives are partially effective but have shortcomings (such as insufficient subsidy coverage or excessively high thresholds). When the low-carbon cooperation rate is less than the minimum target rate, it indicates that the existing incentives are insufficient or improperly combined, and the incentive system needs to be restructured.

[0088] Further, refer to Figure 2 The evolutionary analysis of low-carbon cooperation among demanders is essentially the same as that among suppliers. Low-carbon cooperation evolution analysis is conducted among demander clusters to guide demanders in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match the demanders, including:

[0089] Step S201: Select the demander cluster for low-carbon cooperative game.

[0090] Step S202: Demanders select low-carbon cooperation strategies to create a competitive or cooperative game relationship among the demander clusters. Low-carbon strategy choices include: {low-carbon cooperation, no low-carbon cooperation}.

[0091] Step S203: Construct an evolutionary game model for low-carbon cooperation among demanders. This involves determining the payoff matrix for demanders under both low-carbon and non-low-carbon cooperation scenarios, constructing the payoff function for each of the two options, and thus building the evolutionary game model for low-carbon cooperation among demanders.

[0092] Step S204: Demand-side emission reduction information release. This involves demand-side companies releasing emission reduction information such as carbon emission reduction volume, carbon emission reduction revenue growth rate, and carbon emission reduction input costs.

[0093] Step S205: Based on the emission reduction information released by the demanders, calculate the revenue of the demander cluster. That is, based on the emission reduction information of the demanders, calculate the revenue under the two options of whether or not the demanders engage in low-carbon cooperation.

[0094] Step S206: Set up the demand-seller game scenario. The demand-seller game scenario includes low-carbon cooperation evolution or low-carbon cooperation stochastic evolution. In the low-carbon cooperation evolution scenario, the demand-seller cluster evolves its strategy based on the replicating dynamic equation, while in the low-carbon cooperation stochastic evolution scenario, the demand-sellers evolve their strategies based on the Moran process. Low-carbon cooperation evolution is suitable for stable and controllable market environments, i.e., the factors influencing demand-seller decisions do not change significantly and demand-seller decisions are not disturbed by sudden factors; therefore, it is based on the replicating dynamic equation for strategy evolution. Low-carbon cooperation stochastic evolution is suitable for complex and uncertain market environments, i.e., there are random disturbance factors influencing demand-seller decisions; therefore, it is based on the Moran process for strategy evolution.

[0095] Step S207: Set the low-carbon cooperation incentive methods and incentive thresholds for demanders. Low-carbon cooperation incentive methods include: low-carbon cooperation rewards and consumption subsidies, which need to be based on three policies: government low-carbon subsidies, carbon trading mechanisms, and carbon taxes. The incentive threshold is the minimum standard for triggering incentives.

[0096] Step S208: Output the low-carbon cooperation rate of the demander cluster. This involves analyzing the evolution trend of low-carbon cooperation among demanders under different low-carbon cooperation incentives and determining the low-carbon cooperation rate of the demander cluster.

[0097] Step S209: Based on the low-carbon cooperation rate, guide demanders to make low-carbon cooperation decisions, i.e., choose whether to engage in low-carbon cooperation.

[0098] Set target and minimum targets for the low-carbon cooperation rate. When the low-carbon cooperation rate is greater than or equal to the target rate, it indicates that low-carbon cooperation has become the mainstream strategy for the demander cluster, with adequate incentives and superior returns; demanders should prioritize or maintain this strategy. When the target rate is greater than the low-carbon cooperation rate and greater than or equal to the minimum target rate, it indicates that the demander cluster is in a strategy adjustment period and needs to make a judgment based on its own returns. If the demander's own low-carbon cooperation returns are greater than or equal to the returns from not cooperating, then cooperation should continue; if the demander's own low-carbon cooperation returns are less than the returns from not cooperating, then low-carbon investment should not be increased for the time being, and the demander can report cost pressures to the platform and apply for increased incentives. When the low-carbon cooperation rate is less than the minimum target rate, it indicates that most demanders choose not to cooperate, which may be due to insufficient incentives; demanders need to make careful decisions.

[0099] Step S210: Based on the low-carbon cooperation rate, guide the cloud platform to make low-carbon cooperation incentive decisions, that is, select the best low-carbon cooperation incentive method and incentive threshold for demanders.

[0100] Set target and minimum targets for the low-carbon cooperation rate. When the low-carbon cooperation rate is greater than or equal to the target rate, it indicates that the existing incentives are effective, and incentive costs need to be controlled to avoid excessive subsidies. When the target rate is greater than the low-carbon cooperation rate and greater than or equal to the minimum target rate, it indicates that the existing incentives are partially effective but have shortcomings (such as insufficient subsidy coverage or excessively high thresholds). When the low-carbon cooperation rate is less than the minimum target rate, it indicates that the existing incentives are insufficient or improperly combined, and the incentive system needs to be restructured.

[0101] Further, refer to Figure 3 This study analyzes the evolution of low-carbon cooperation interactions between supplier and demand clusters to guide both parties in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentives that match the needs of both parties, including:

[0102] Step S301: Select the supplier cluster and demander cluster for low-carbon cooperative game.

[0103] Step S302: Both supply and demand sides select low-carbon cooperation strategies to create a competitive or cooperative game relationship between supplier clusters or demand clusters. Low-carbon strategy choices include: {low-carbon cooperation, no low-carbon cooperation}.

[0104] Step S303: Construct a co-evolutionary game model for low-carbon cooperation between suppliers and demanders. This involves determining the payoff matrices for both suppliers and demanders, and calculating their payoff functions under low-carbon and non-low-carbon cooperation conditions. This leads to the construction of the co-evolutionary game model for low-carbon cooperation between suppliers and demanders, with the latter interacting through the demand for manufacturing services. Specifically, the supplier group evolves towards low-carbon cooperation based on the Fermi rule, while the demander group evolves based on the Aspiration-driven rule.

[0105] In step S304, both suppliers and consumers release emission reduction information. This includes publishing information such as carbon emission reduction amounts, carbon emission reduction revenue growth rates, and carbon emission reduction input costs.

[0106] Step S305 involves calculating the revenue for both the supplier cluster and the demand cluster based on the emission reduction information released by both parties. Specifically, it calculates the revenue for either the supplier or the demander under two different scenarios: whether or not to engage in low-carbon cooperation. The strategy chosen by one party directly impacts the revenue of the other.

[0107] Step S306 involves setting incentive methods and thresholds for low-carbon cooperation for both supply and demand sides. Incentive methods for suppliers include: low-carbon cooperation rewards, penalties for non-low-carbon cooperation, cost-sharing of low-carbon inputs, and greenness subsidies. Incentive methods for demanders include low-carbon cooperation rewards and consumption subsidies, which must be based on government low-carbon subsidies, carbon trading mechanisms, and carbon taxes. The incentive threshold is the minimum standard for triggering incentives.

[0108] Step S307: Output the low-carbon cooperation rate of the supply and demand clusters. This involves analyzing the evolution trend of low-carbon cooperation between the supply and demand sides under different low-carbon cooperation incentives (e.g., an increase in the supplier cooperation rate leads to an increase in the demand side cooperation rate) and determining the final low-carbon cooperation rate.

[0109] Step S308: Based on the low-carbon cooperation rate, guide both the supply and demand sides to make low-carbon cooperation decisions, that is, provide decision-making suggestions to suppliers, which need to take into account the cooperation rate of demanders, and provide decision-making suggestions to demanders, which need to take into account the cooperation rate of suppliers.

[0110] Step S309: Based on the low-carbon cooperation rate, guide the cloud platform to make low-carbon cooperation incentive decisions, that is, select the best low-carbon cooperation incentive method and incentive threshold for both supply and demand sides.

[0111] Furthermore, the published task requirements will be matched with manufacturing services, including:

[0112] Obtain information on manufacturing resources, which include hardware manufacturing resources, software manufacturing resources, and manufacturing capabilities;

[0113] Virtualize manufacturing resources and transform them into cloud manufacturing services through standardized descriptions;

[0114] Based on the bilateral matching algorithm, the published task requirements and manufacturing services are matched to determine the appropriate task requirements and manufacturing services.

[0115] refer to Figures 4-6 This invention also provides an evolutionary analysis system, comprising:

[0116] The task requirement publishing module is used by task providers to publish task requirements.

[0117] The Manufacturing Service Publishing module is used by suppliers to publish manufacturing services.

[0118] The supply and demand matching module is used to match the published task requirements with manufacturing services in order to identify the demand clusters and supplier groups for low-carbon cooperation.

[0119] The emission reduction information release module is used by supply and demand enterprises to release emission reduction information.

[0120] The supplier low-carbon cooperation decision-making submodule is used to conduct low-carbon cooperation evolution analysis among supplier clusters to guide suppliers in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match the suppliers.

[0121] The demander low-carbon cooperation decision-making submodule is used to conduct low-carbon cooperation evolution analysis among demander clusters to guide demanders in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match the demanders.

[0122] The supply and demand side low-carbon cooperation and interaction decision-making submodule is used to conduct low-carbon cooperation and interaction evolution analysis between supplier clusters and demander clusters, so as to guide both parties to make low-carbon cooperation decisions and guide the cloud platform to select low-carbon cooperation incentive decisions that match both parties.

[0123] Furthermore, the system also includes a resource layer, which stores manufacturing resource information and transforms manufacturing resources into cloud manufacturing services through virtualization and standardization. Manufacturing resources include hardware manufacturing resources, software manufacturing resources, and manufacturing capabilities.

[0124] All manufacturing resources are transformed into cloud manufacturing services through virtualization and standardized descriptions, avoiding matching discrepancies caused by inconsistencies in information descriptions between suppliers and demanders. Simultaneously, a unified interface and calling relationships are formed through a unified expression method.

[0125] Furthermore, the system also includes an application layer, which can be used by supply and demand enterprises and platform operators to achieve information exchange through the cloud platform interface. For example, suppliers can publish manufacturing service information through the cloud platform interface.

[0126] refer to Figure 7 The present invention also provides a machine-readable storage medium 400 on which a machine-executable program 410 is stored. When the machine-executable program 410 is executed by a processor, it implements the cloud manufacturing enterprise low-carbon cooperation evolution analysis method in the above embodiments.

[0127] refer to Figure 8 The present invention also provides a computer device 500, including a memory 520, a processor 510, and a machine-executable program 410 stored in the memory and running on the processor. When the processor 510 executes the machine-executable program 410, it implements the cloud manufacturing enterprise low-carbon cooperation evolution analysis method described in the above embodiments.

[0128] For the purposes of this embodiment, the machine-readable storage medium 400 can be any means capable of containing, storing, communicating, propagating, or transmitting a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the machine-readable storage medium 400 include: an electrical connection (electronic device) having one or more wires, a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, the machine-readable storage medium 400 can even be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0129] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system.

[0130] Computer device 500 can be, for example, a server, desktop computer, laptop computer, tablet computer, or smartphone. In some examples, computer device 500 can be a cloud computing node. Computer device 500 can be described in the general context of computer system executable instructions (such as program modules) executed by a computer system. Typically, program modules can include routines, programs, object programs, components, logic, data structures, etc., that perform specific tasks or implement specific abstract data types. Computer device 500 can be implemented in a distributed cloud computing environment where tasks are performed by remote processing devices linked through a communication network. In a distributed cloud computing environment, program modules can reside on local or remote computing system storage media, including storage devices.

[0131] Computer device 500 may include a processor 510 adapted to execute stored instructions and a memory 520 that provides temporary storage space for the operation of said instructions during operation. The processor 510 may be a single-core processor, a multi-core processor, a computing cluster, or any other configuration. The memory 520 may include random access memory (RAM), read-only memory, flash memory, or any other suitable storage system.

[0132] The processor 510 can be connected via a system interconnect (e.g., PCI, PCI-Express, etc.) to an I / O interface (input / output interface) suitable for connecting the computer device 500 to one or more I / O devices (input / output devices). I / O devices may include, for example, a keyboard and indicating devices, where indicating devices may include a touchpad or touchscreen, etc. I / O devices may be built into the computer device 500 or may be external devices connected to the computing device.

[0133] The processor 510 can also be linked via a system interconnect to a display interface suitable for connecting the computer device 500 to a display device. The display device may include a display screen as a built-in component of the computer device 500. The display device may also include an external computer monitor, television, or projector connected to the computer device 500. Furthermore, a network interface controller (NIC) may be adapted to connect the computer device 500 to a network via a system interconnect. In some embodiments, the NIC may use any suitable interface or protocol (such as an Internet Minicomputer System Interface) to transmit data. The network may be a cellular network, a radio network, a wide area network (WAN), a local area network (LAN), or the Internet, etc. Remote devices can connect to the computing device via the network.

[0134] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A method for analyzing the evolution of low-carbon cooperation among cloud manufacturing enterprises, characterized in that, The evolutionary analysis method includes: Release task requirements and manufacturing services; The released task requirements will be matched with manufacturing services to identify the clusters of demanders and suppliers for low-carbon cooperation. The study analyzes the evolution of low-carbon cooperation among supplier clusters, demander clusters, and the interaction between supplier and demander clusters to guide suppliers, demanders, and both supply and demand sides in making low-carbon cooperation decisions. It also guides the cloud platform to select low-carbon cooperation incentives that match the suppliers, demanders, and both supply and demand sides.

2. The cloud manufacturing enterprise low-carbon cooperation evolution analysis method according to claim 1, characterized in that, The aforementioned analysis of the evolution of low-carbon cooperation among supplier clusters to guide suppliers in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match the suppliers includes: Select supplier clusters for low-carbon cooperative bargaining; Suppliers choose low-carbon cooperation strategies to create a competitive or cooperative game relationship among supplier clusters; Construct a game theory model for the evolution of low-carbon cooperation among suppliers; Supplier emission reduction information release; Calculate the revenue of the supplier cluster by combining the emission reduction information released by the suppliers; Set up supplier game scenarios, including low-carbon cooperation evolution or low-carbon cooperation stochastic evolution. In the low-carbon cooperation evolution scenario, the supplier cluster evolves its strategy based on the replication dynamic equation. In the low-carbon cooperation stochastic evolution scenario, the suppliers evolve their strategy based on the Moran process. Set incentive methods and thresholds for suppliers to cooperate in low-carbon initiatives. The incentive methods include low-carbon cooperation rewards, non-low-carbon cooperation penalties, low-carbon input cost sharing, and greenness subsidies. The incentive threshold is the minimum standard for triggering incentives. Output the low-carbon cooperation rate of the supplier cluster; Based on the low-carbon cooperation rate, guide suppliers in making low-carbon cooperation decisions; Based on the low-carbon cooperation rate, guide the cloud platform to make low-carbon cooperation incentive decisions.

3. The cloud manufacturing enterprise low-carbon cooperation evolution analysis method according to claim 1, characterized in that, The aforementioned analysis of the evolution of low-carbon cooperation among demander clusters to guide demanders in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match the demanders includes: Choose a cluster of demanders to engage in low-carbon cooperative bargaining. Demanders choose low-carbon cooperation strategies to create a competitive or cooperative game relationship among demander clusters. Construct a game theory model for the evolution of low-carbon cooperation between demanders and suppliers; Information on emission reductions by demanders; Calculate the revenue of the demander cluster by combining the emission reduction information released by the demanders; Set up a demand-side game scenario, which includes low-carbon cooperation evolution or low-carbon cooperation stochastic evolution. In the low-carbon cooperation evolution scenario, the demand-side cluster evolves its strategy based on the replication dynamic equation, while in the low-carbon cooperation stochastic evolution scenario, the demand-side cluster evolves its strategy based on the Moran process. Set up low-carbon cooperation incentive methods and incentive thresholds for demanders. Low-carbon cooperation incentive methods include low-carbon cooperation rewards and consumption subsidies, and incentive thresholds are the minimum standards for triggering incentives. Output the low-carbon cooperation rate of the demander cluster; Based on the low-carbon cooperation rate, guide demanders to make low-carbon cooperation decisions; Based on the low-carbon cooperation rate, guide the cloud platform to make low-carbon cooperation incentive decisions.

4. The co-evolutionary analysis method for low-carbon cooperation in cloud manufacturing according to claim 1, characterized in that, The aforementioned analysis of the low-carbon cooperation and interaction evolution between supplier clusters and demander clusters, to guide both parties in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match both parties, includes: Choose between supplier clusters and demander clusters for low-carbon cooperative negotiation. Both supply and demand sides should choose low-carbon cooperation strategies to create a competitive or cooperative game relationship between supplier clusters or demander clusters. A game theory model for the co-evolution of low-carbon cooperation between supply and demand sides is constructed, in which the supplier group evolves low-carbon cooperation based on the Fermi rule, and the demand group evolves low-carbon cooperation based on the Aspiration-driven rule. Both suppliers and consumers should release emission reduction information separately. Based on the emission reduction information released by both the supply and demand sides, the revenue of the supplier cluster and the demand cluster are calculated separately; Incentive methods and thresholds for low-carbon cooperation are set separately for both supply and demand sides. The incentive methods for low-carbon cooperation for suppliers include low-carbon cooperation rewards, non-low-carbon cooperation penalties, low-carbon input cost sharing, and greenness subsidies. The incentive methods for low-carbon cooperation for demanders include low-carbon cooperation rewards and consumption subsidies. The incentive threshold is the minimum standard for triggering incentives. Output the low-carbon cooperation rate of the supply and demand clusters, that is, analyze the evolution trend of low-carbon cooperation between the supply and demand sides under different low-carbon cooperation incentives, and determine the final low-carbon cooperation rate. Based on the low-carbon cooperation rate, guide both supply and demand sides to make low-carbon cooperation decisions; Based on the low-carbon cooperation rate, the cloud platform is guided to make low-carbon cooperation incentive decisions, that is, to select the best low-carbon cooperation incentive method and incentive threshold for both supply and demand sides.

5. The cloud manufacturing enterprise low-carbon cooperation evolution analysis method according to claim 1, characterized in that, The matching of published task requirements with manufacturing services includes: Obtain information on manufacturing resources, which include hardware manufacturing resources, software manufacturing resources, and manufacturing capabilities; Virtualize manufacturing resources and transform them into cloud manufacturing services through standardized descriptions; Based on the bilateral matching algorithm, the published task requirements and manufacturing services are matched to determine the appropriate task requirements and manufacturing services.

6. A low-carbon cooperation evolution analysis system for cloud manufacturing enterprises, characterized in that, The system includes: The task requirement publishing module is used by task providers to publish task requirements; The manufacturing service publishing module is used by suppliers to publish manufacturing services; The supply and demand matching module is used to match the published task requirements with manufacturing services in order to identify the demand clusters and supplier groups for low-carbon cooperation. The emission reduction information release module is used by supply and demand enterprises to release emission reduction information; The supplier low-carbon cooperation decision-making submodule is used to conduct low-carbon cooperation evolution analysis among supplier clusters to guide suppliers in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match the suppliers. The demander low-carbon cooperation decision-making submodule is used to conduct low-carbon cooperation evolution analysis among demander clusters to guide demanders in making low-carbon cooperation decisions and to guide the cloud platform in selecting low-carbon cooperation incentive decisions that match the demanders. The supply and demand side low-carbon cooperation and interaction decision-making submodule is used to conduct low-carbon cooperation and interaction evolution analysis between supplier clusters and demander clusters, so as to guide both parties to make low-carbon cooperation decisions and guide the cloud platform to select low-carbon cooperation incentive decisions that match both parties.

7. The cloud manufacturing enterprise low-carbon cooperation evolution analysis system according to claim 6, characterized in that, The system also includes a resource layer, which stores manufacturing resource information and transforms manufacturing resources into cloud manufacturing services. Manufacturing resources include hardware manufacturing resources, software manufacturing resources, and manufacturing capabilities.

8. The cloud manufacturing enterprise low-carbon cooperation evolution analysis system according to claim 6, characterized in that, The system also includes an application layer, which is used for supply and demand enterprises and platform operators to exchange information through the cloud platform's interface.

9. A machine-readable storage medium, characterized in that, It stores a machine-executable program, which, when executed by a processor, implements the cloud manufacturing enterprise low-carbon cooperation evolution analysis method as described in any one of claims 1-5.

10. A computer device, characterized in that, It includes a memory, a processor, and a machine-executable program stored on the memory and running on the processor, wherein the processor, when executing the machine-executable program, implements the cloud manufacturing enterprise low-carbon cooperation evolution analysis method according to any one of claims 1-5.

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