A System Dynamics Model for the Diffusion of Cloud Manufacturing Mode With Evolutionary Game Theory

Wang, Tianri; Li, Chao; Zhang, Pengzhi

doi:10.1109/access.2020.3043833

Cited by 7 publications

(3 citation statements)

References 32 publications

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“…Wang et al simulated the CMfg diffusion process by considering the commission rate, government subsides, user membership fee of the cloud platform and user acceptance intention. The results show that subsidies for enterprise users are better than those for CMfg service providers in promoting the diffusion of the CMfg mode [23].…”

Section: Introductionmentioning

confidence: 94%

A Comparative Study on the Impact of One-Way and Two-Way Matching Strategies on the Evolution of Cloud Manufacturing Ecosystems

et al. 2021

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The supply-demand matching (SDM) strategy is an important part of the transaction mechanism design of cloud manufacturing (CMfg) platforms, which has a significant impact on the evolution trend of cloud manufacturing ecosystems (CMEs). To help CMfg platform operators choose the appropriate SDM strategy, first, the evolution process of the CME was qualitatively analyzed, and the evolution process was divided into three stages: the germination period, the growth period and the stable period. Then, three types of market agent behavior models, service demanders (SDs), service providers (SPs) and platform operators (POs), were established, and a multiagent behavior simulation experiment was conducted. Finally, the evolution of CMEs with one-way and two-way SDM strategies for POs was compared and analyzed from three aspects: the overall utilization rate of SPs, the diversity of CMEs and the total output of CMEs. Simulation experiments show that, compared with the CME that adopts the one-way SDM strategy, the CME that adopts the two-way SDM strategy is approximately 33% faster to reach ecological balance, the overall utilization rate is approximately 98.7% higher, the diversity is approximately 6% higher, and the total output is approximately 91% higher. The two-way SDM strategy that comprehensively considers the respective preferences of SDs and SPs is more conducive to the healthy development of CMEs.

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Section: Introductionmentioning

confidence: 94%

A Comparative Study on the Impact of One-Way and Two-Way Matching Strategies on the Evolution of Cloud Manufacturing Ecosystems

et al. 2021

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“…enterprises adopt cloud manufacturing/traditional mode [30] providers perform/violate non-intelligent contracts demanders perform/violate non-intelligent contracts [31] providers actively/negatively improve the quality demanders participate/not participate in quality collaboration [32] cloud platform provide better/basic services service providers share/not share resources demanders require better/basic services [25] service platform provide positive/negative service providers share/not share production capacity demanders expand/not expand production capacity [33] service providers share/not share knowledge service integrators incentivize/not incentivize knowledge sharing [34] platform regulators supervise/not supervise transaction process providers trust/distrust demanders trust/distrust [26] cloud platform supervise/not supervise manufacturing enterprise collaborative/general cooperation demand enterprise collaborative/general cooperation [35] goverment supervise/not supervise enterprise A collaborative/noncollaborative innovation enterprise B collaborative/noncollaborative innovation [28] 3. Tripartite Evolutionary Game…”

Section: Players Strategiesmentioning

confidence: 99%

Evolutionary Game Analysis of Providers’ and Demanders’ Low-Carbon Cooperation in Cloud Manufacturing Mode

Han,

Lu,

Zhang

et al. 2024

Sustainability

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The low-carbon cooperation between providers and demanders is one of the ways to achieve sustainable development in cloud manufacturing, which has become an important issue. However, the effective ways for the cloud platform to encourage such cooperation are unclear. Considering the low-carbon strategies of the supply and demand sides and the regulation of the cloud platform, an evolutionary game model involving service providers, service demanders, and the cloud platform is established, and the tripartite evolutionary stability is discussed. Further, the impacts of important factors, such as regulatory costs, on the tripartite strategies are analyzed through numerical simulation. The results illustrate that the cloud platform reasonably optimizes the rewards and penalties for low-carbon cooperation to promote the enthusiastic participation of service providers and demanders. The cloud platform can set penalties (rewards) for providers based on their low-carbon costs and rewards (penalties). Additionally, the low-carbon costs of service providers and the additional costs of demanders negatively affect the low-carbon cooperation between providers and demanders. Meanwhile, the low-carbon costs and additional costs for the providers and demanders to engage in low-carbon cooperation are affected by the rewards and penalties of the cloud platform. The results could provide insights into the game decisions of the supply and demand sides and the cloud platform, facilitating sustainable supply chain advancement.

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“…For instance, Wang et al [48] established an evolutionary game model from the perspective of population, observed the configuration trend of different manufacturing services, and used evolutionary game theory to distribute manufacturing services to achieve fairness among users. Wang et al [49] established a system dynamics model with evolutionary game theory and simulated the CMfg mode diffusion process. Chen et al [50] established an evolutionary game model between manufacturing enterprises with evolutionary game theory and analysed in detail the dynamic evolution of the innovation process.…”

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confidence: 99%

Evolutionary Analysis of Cloud Manufacturing Platform Service Innovation Based on a Multiagent Game Perspective

2022

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With the rapid development of cloud computing, the Internet of Things (IoT) and other new generation information technologies, a new service-oriented networked intelligent manufacturing modecloud manufacturing (CMfg), is emerged. In the CMfg paradigm, cloud manufacturing platform service innovation is an effective way to improve the service function, service quality and service efficiency of cloud manufacturing platforms. However, the service innovation of cloud manufacturing platforms is complex system engineering, which needs to consider many participants with independent interests simultaneously. If one party's behaviour strategy changes, the whole system will be affected. In order to adapt the decision-making management of manufacturing service innovation in cloud manufacturing system, to provide the effective decision-making support for service innovation of cloud manufacturing system in uncertain environment, to explore the interaction mechanism and equilibrium strategy of various stakeholders in the evolution process of cloud manufacturing system. This research constructs a tripartite evolutionary game model among participants based on evolutionary game theory, Analyses the influence of participants' strategy choices, The Cloud manufacturing platform's service quality coefficients and users' preference Coefficients on the equilibrium state stability of cloud manufacturing systems, and uses MATLAB software for numerical simulation. The results show that the evolutionary stability strategy of cloud manufacturing enterprises plays a decisive role in the service innovation of the cloud manufacturing platform. When cloud manufacturing enterprises choose a noncooperation strategy, the evolutionary stability strategy of the cloud manufacturing platform is innovation. When cloud manufacturing enterprises choose a cooperation strategy, the evolutionary stability strategy of the cloud manufacturing platform is affected by the platform's service quality coefficient and the user's preference coefficient, and both factors can promote the evolution of cloud manufacturing platform service innovation. The platform's service quality coefficient has a threshold value, which depends on the relative size of benefits, costs and user's preference coefficient generated by the service innovation of the platform. Therefore, in the cloud manufacturing mode, the cloud manufacturing platform must rely on different enterprises to provide their own innovation resources to realize the service innovation of the cloud manufacturing platform, so the cloud manufacturing platform should focus on introducing a group of high-quality cloud manufacturing enterprises for cooperation. In addition, users' strong demand for high-quality services can provide sufficient impetus for cloud manufacturing enterprises to choose cooperation and cloud manufacturing platforms to choose innovation, which can not only encourage cloud manufacturing platforms to provide personalized services for users but also avoid the extra waste of resources.INDEX TERMS cloud ...

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A System Dynamics Model for the Diffusion of Cloud Manufacturing Mode With Evolutionary Game Theory

Cited by 7 publications

References 32 publications

A Comparative Study on the Impact of One-Way and Two-Way Matching Strategies on the Evolution of Cloud Manufacturing Ecosystems

A Comparative Study on the Impact of One-Way and Two-Way Matching Strategies on the Evolution of Cloud Manufacturing Ecosystems

Evolutionary Game Analysis of Providers’ and Demanders’ Low-Carbon Cooperation in Cloud Manufacturing Mode

Evolutionary Analysis of Cloud Manufacturing Platform Service Innovation Based on a Multiagent Game Perspective

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