Multiple-part-type production scheduling for high volume manufacturing (time-based approach)

Abstract

An effective production scheduling strategy would lead to efficient production line performance as well as increased profit. However, there is no fixed or generalized solution. In this thesis, Nonlinear Programming and time-based Control Point Policy were applied in sequence to solve the production scheduling problems at a high volume industry. The strategy provided the company a systematic way to tackle production problems. A distinct tradeoff between average inventory and frequency of changeover is observed. A recommended selection is made based on minimizing total cost (inventory holding cost and changeover cost). Comparing with current line behavior, the recommended selection will reduce the total cost by more than half.