2019
DOI: 10.1016/j.cie.2019.05.005
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An evolutionary game approach for manufacturing service allocation management in cloud manufacturing

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Cited by 61 publications
(29 citation statements)
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References 31 publications
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“…They explore the evolution of different participants’ behavior and their evolutionarily stable strategy. Wang et al (2019) study the manufacturing service allocation in a cloud manufacturing system. They find the equilibrium obtained in an evolutionary game model, and analyze the stability of evolutionary equilibrium for the manufacturing services game.…”
Section: Literature Reviewmentioning
confidence: 99%
“…They explore the evolution of different participants’ behavior and their evolutionarily stable strategy. Wang et al (2019) study the manufacturing service allocation in a cloud manufacturing system. They find the equilibrium obtained in an evolutionary game model, and analyze the stability of evolutionary equilibrium for the manufacturing services game.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Nowadays, most of existing research about CMfg focuses on the manufacturing services management in the whole production process. Some core problems are widely studied including manufacturing tasks and resources descriptions [23], manufacturing service composition and optimization [24,25], manufacturing service optimal allocation [26,27], manufacturing task and service scheduling [28][29][30].…”
Section: A Cmfg Modementioning
confidence: 99%
“…In the cloud service environment, the service deployment strategy problem consists of the following aspects. The quality of service (QoS) of composite services plays an important role in the deployment value chain and partner collaboration in the manufacturing field [29]. Qos is an evaluation system which is used to evaluate performance of the services, including comprehensive evaluation of service availability, accessibility, reliability, legality, security, success rate, access volume, response time, etc.…”
Section: Related Workmentioning
confidence: 99%