Abstract
The paper proposed the overall optimization and innovation-driven strategy in industrial big data service system combined with the demand of wisdom cloud manufacturing chain. It provided a framework to systematically explore the relationships between enterprise as alliance leader and the union member in cloud manufacturing. It researched Bayesian Nash equilibrium under incomplete information condition which further implied that the incompleteness of information had an effect on the union member’s asking price. Thus it revealed a methodology to analyze the stability of Bayesian Nash equilibrium and gave a detailed algorithm. Though Bayesian Nash implementation, teams in industrial big data service system can work best under information asymmetry.
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This work was supported by National Natural Science Foundation under Grant No. 51475265.
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Yu, H., Tian, Q. (2018). Cooperation Mechanism Design in Cloud Manufacturing Under Information Asymmetry. In: Zhou, Q., Gan, Y., Jing, W., Song, X., Wang, Y., Lu, Z. (eds) Data Science. ICPCSEE 2018. Communications in Computer and Information Science, vol 901. Springer, Singapore. https://doi.org/10.1007/978-981-13-2203-7_37
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DOI: https://doi.org/10.1007/978-981-13-2203-7_37
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