Optimal Pacing System based on Theory of Constraints in Manufacturing and Market Cycle

This paper proposes a optimum pacing system for manufacturing process in which DBR parameters in theory of constraints(TOC) can be optimized by multi-objective optimization. In this system,the manufacturing process and DBR system are modeled by Petri net and they are used repeatedly with optimization technique. Conventionally, the DBR parameters have been decided empirically but are not necessarily optimum. The optimization method has not yet been established for the large scale and complex process containing the multiple bottleneck process. The optimal pacing method is characterized by the extending of DBR function and the parameters optimization for the cycle which is constructed in the manufacturing, the demand forecasting and the market. In the objective functions, the supply delay and the transition time to steady state manufacturing are evaluated and they are minimized. As the results, it is confirmed that the optimal pacing to enable the quick product supply to the market and the stable and quick shift to the steady state manufacturing can be realized by letting the proposed method cooperate with the demand forecasting.