In general, the production quantities and the delivered goods are changed randomly, and then the total stock is also changed randomly. This paper deals with the production and inventory control of an automobile production part line using the Dynamic Bayesian Network. Bayesian Network indicates the quantitative relations between the individual variables by the conditional probability. The probabilistic distribution of the total stock is calculated through the propagation of the probability on the network. Moreover, an adjusting rule of the production quantities to maintain the probability of the lower bound value and the upper bound value of the total stock to certain values is shown.