A Scheduling Optimization Algorithm Based on Non-Cooperative Game in the Cloud Manufacturing

Cloud manufacturing is a new manufacturing model based on the network and service-oriented intelligent. For the optimal allocation resources of the cloud manufacturing, many experts and scholars individually consider time, quality, or cost factors related to manufacturing products, but do not fully consider the multi-objective requirements of products, for example, the scheduling problem of simultaneously considering the deadline and cost of products in the cloud manufacturing. Aiming at the above problems, a cloud manufacturing scheduling optimization algorithm based on non-cooperative games is proposed. The algorithm uses non-cooperative game methods to deal with the scheduling question of the deadline and cost constraints of products. For the selection of network resources in the scheduling process, the Nash equilibrium strategy is adopted. Select the network manufacturing resources that can not only meet the deadline constraints but also reduce the product cost in the scheduling processing. The Experimental results show that the algorithm can effectively solve the scheduling problem with deadline and cost constraints in the cloud manufacturing.