Developing integrated process planning and scheduling with dynamic features for multi-objective based on Cooperative game theory

Process planning and scheduling are two key sub-functions in the manufacturing system. Traditionally, these two, were carried out in separate and sequential way with a single criterion optimization and regard to some hypothesizes. In real- world these hypothesizes such as resources and machines permanent availability and process planning inflexibility make the solution will become infeasible. In this paper to improve efficiency and adapt more to the real- world production, with four criteria, alternative operation sequences and dynamic feature such as machine breakdown and new order arrival used to optimize integrated process planning and scheduling (IPPS) problem. In solving problem process, cooperative game theory based on compromise method has been developed and a meta heuristic hybrid algorithm (GA ,TS) are used. The approach has been tested and the result show that the developed approach is a proper method to solve a multi objective IPPS with supposed constraints.