关键词: 云制造, 多用户任务, 服务协同, 任务调度, 灰狼优化算法

Abstract: There are various distributed manufacturing services in cloud manufacturing system.In the previous research of manufacturing service scheduling,the collaboration effect of cloud service enterprises was often ignored.To consider the impact of the social attributes of cloud manufacturing services on the services collaboration,a measurement model of the collaboration effect between cloud services was established from the perspective of cooperation and competition.A bi-objective cloud service selection and scheduling model was constructed to maximize the average user satisfaction degree and the collaborative effect of cloud services.Based on the Grey Wolf Optimizer(GWO),a hybrid algorithm GWO—Simulated Annealing algorithm(GWO-SA)was designed to solve the model.Numerical examples were used to test and compare with other multi-objective optimization algorithms.The simulation results showed the effectiveness of the proposed model and the efficiency of GWO-SA algorithm.

Key words: cloud manufacturing, multi-user task, service collaboration, task scheduling, grey wolf optimization