Stackelberg Game Based Manufacturing Service Uncertainty Scheduling Toward Intelligent Manufacturing

With the coming of the third industrial revolution, multiple industries have mass manufacturing needs. In order to save production costs and maximize profit, businesses in these industries hurry to improve the level of manufacturing and carry out intelligent transformation. Thus, intelligent manufacturing has become the top priority in the modern industrial system. In addition, in the intelligent manufacturing aspect, not only cost-saving problems but also unexpected events (e.g. service broken) during the manufacturing process is a crucial challenge. Therefore, it is necessary to investigate the above problem of uncertainty scheduling mechanisms in cloud manufacturing (CMfg) as one of the important representative forms of intelligent manufacturing. This paper proposes a two-layer scheduling model based on the Stackelberg game in CMfg. In this model, a triple-layer iteration algorithm is designed to get the Nash equilibrium in the game theory. Also, to better analyze and solve the uncertainty during the manufacturing process, the main service broken cases are discussed using the real-time scheduling method, and the corresponding solutions of each case are presented. The case study verifies the efficiency and necessity of the proposed scheduling method by setting automobile manufacturing as the research case.