Scheduling optimization model considering priority in cloud manufacturing

The new technology (such as: big data, cloud computing, Internet, intelligent manufacturing and internet of things) has been more and more widely used in the field of industrial manufacturing, which contribute to the birth of cloud manufacturing, a new advanced networked manufacturing mode. Through effective management, cloud manufacturing platform attracts all kinds of resource providers and customers. The process of scheduling optimization is one of the most important issue for practical implementation of cloud manufacturing, in which the interests of the three parties (cloud manufacturing platform, resource providers, and customers) and the priority preference of decision maker both have important influence. In this paper, a scheduling optimization model considering priority is established. Further, a two-step interactive fuzzy optimization method is described to solve this problem. The tradeoff between objective optimization and priority requirements is achieved by relaxing of the maximum comprehensive satisfaction. Moreover, the results of the numerical examples show the effectiveness of the proposed approach in terms of the quality of solution.