In order to increase the resource utilization and reduce the idle in the process of implementing and running of cloud manufacturing, scheduling becomes a practical and critical issue. Different from most existing studies that focus on scenarios with intelligent optimization algorithms, this paper studies job scheduling of cloud manufacturing based on game theory, in which mathematical model of the public good game is put forward. Then, the problem of multi-job optimization of scheduling in cloud manufacturing is solved by BA Scale-free network and non-cooperative game. Finally, a numerical example is presented to demenstrate the feasibility of the approach.
Yongkui LiuXun XuZhang LiLong WangRay Y. Zhong
Sicheng LiuZhang LiWeiling ZhangWeiming Shen