Abstract
In the manufacturing business, the delivery guarantee of quantities is a prerequisite for improving the credit of corporation and securing profit. However, the delivery quantity, the production quantity, and the inventory is changed according to various unexpected reasons. Then the prediction of production and inventory which can cope with such irregular fluctuations is required. This paper deals with an adjusting production method using the Dynamic Bayesian Network (DBN) for all factors which influence the production quantity, the delivery quantity, and the inventory quantity for an automobile parts production process. This study also provides an adjusting production schedule algorithm that adjusts sequentially the production schedule for appropriate guarantee of the deadline. Furthermore, an adjusting rule of the production quantities to maintain the delivery guarantee is provided.
