Diffusion mechanism simulation of cloud manufacturing complex network based on cooperative game theory

Abstract

Cloud manufacturing is a specific implementation form of the "Internet + manufacturing" strategy. Why and how to develop cloud manufacturing platform (CMP), however, remains the key concern of both platform operators and users. A microscopic model is proposed to investigate advantages and diffusion forces of CMP through exploration of its diffusion process and mechanism. Specifically, a three-stage basic evolution process of CMP is innovatively proposed. Then, based on this basic process, a more complex CMP evolution model has been established in virtue of complex network theory, with five diffusion forces identified. Thereafter, simulations on CMP diffusion have been conducted. The results indicate that, CMP possesses better resource utilization, user satisfaction, and enterprise utility. Results of simulation on impacts of different diffusion forces show that both the time required for CMP to reach an equilibrium state and the final network size are affected simultaneously by the five diffusion forces. All these analyses indicate that CMP could create an open online cooperation environment and turns out to be an effective implementation of the "Internet + manufacturing" strategy.

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

“…Based on the above diffusion theory, some other approaches were also employed to explore the whole picture of diffusion process. Geng et al [18] proposed a three-stage basic evolution process model by using complex networks from the perspective of CMfg platform. Tsai et al [22] proposed a cloud computing diffusion model to explore dynamic structure in cloud industry with SD model and Artificial Neural Network (ANN).…”

“…After obtaining initial knowledge about CMfg, potential adopters will decide whether to implement this innovation business mode through a comparison of revenues obtained in different modes [18]. The revenue of the enterprises represents the incremental effect on the rate of the enterprise's decision making of adopting CMfg mode.…”

“…To the best of our knowledge, many research efforts have been devoted to the technology level of CMfg system [7,16,17]. While the relevant research of the diffusion of CMfg is fragmented [18,19]. Most of literature focused on the analysis of influencing factors and the behavioral changes of the main diffusion participants [13,20,21], and little considered the diffusion mechanism.…”

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

“…Considering that the existing strategies cannot react to the stochastic, rational, emotional, and unknown behavior of opponents due to their deterministic behavior, they also proposed a stochastic behavioral learning negotiation (SBLN) strategy to further maximize the unity value and success rate [18]. In terms of the evolution model of CME, Geng et al [19] proposed a three-stage basic evolution process of the CMfg platform and established a CMfg platform evolution model by virtue of complex network theory with five diffusion forces identified. Peng et al [20] proposed an evolutionary model of the cooperative and competitive relationships of individuals to analyze the participants' cooperative and competitive relationships in CMEs and their impact on individual development and the stability and balance of the system.…”

“…SPi's rejection rate on the matching degree, which is the same as formula(19). The This work is licensed under a Creative Commons Attribution 4.0 License.…”