Machinery-oriented Capacity Control for Complex Industrial Manufacturing Processes

With the quick development of technologies, the customer fast changing demands, e.g., the types of products, quantities and delivery dates, render manufacturing processes to be more dynamical and complex. To deal with these problems, we focus on the operational layer and consider an improved machinery-oriented capacity control approach in the short or medium term fluctuations in demand. In this paper, we firstly present a mathematical model to describe the complexity and dynamics of multi-workstation job shop manufacturing systems based on the customized flexibility of reconfigurable machine tools. Then, an integral separation PID control method is utilized to optimize the performance of capacity control systems while a traditional PID method is also considered for comparsion in terms of the dynamic transient performance and steady-state performance. Last, the simulation results show that the integral separated PID control has a lower overshoots and smaller steady-state errors than the classical PID control, which indicates the effectiveness of the proposed method.