製造と市場のサイクルにおける制約理論に基づく最適ぺーシングシステム

摘要

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.%製造業では市場に対して需要予測を行い，需要予測に基づいて製造を行っている.需要予測と製造は密接な関係にあり，高精度の需要予測と適切な生産スケジューリングによって生産性が向上する.しかし，為替変動などの経済状況の変動によって需要変動が発生し，それによる需要予測の変更が必要となる場合があり，この場合は製造現場では製造ぺーシングの変更を余儀なくされる.さらに，この製造ぺーシングの変更によって，製造現場で生産スピードの変更などが行われ，工場内物流の変動が発生する.この物流変動による工程内の在庫切れや在庫の飽和の状態が動的に変化し，製造の安定性が損なわれる.そのため，中間在庫量などの動的変化を抑制しつつ，早急に定常的な生産状態を確保することが重要となる.