DYNAMIC INTEGRATED PROCESS PLANNING AND SCHEDULING

Unexpected disturbance to the manufacturing capability and production schedule of a production system may always lead to the stoppage of the production line and delay to fulfill the production order. In order to cope with these disturbances, traditional production planning and control approaches focused on the “localized” problem and only provided limited adjustment of the system. A Dynamic Integrated Process planning and Scheduling system (DIPS) is developed that provides a complete systematic examination to the disturbances. DIPS contains a two-stage, genetic-algorithm-based control mechanism that can dynamically generate both the optimal process plan and production schedule. Statistical optimization technique is adopted to evaluate the performance of DIPS. Simulation results show that DIPS significantly improves the total production cost under all problem domains.