A Dynamic Bayesian Network Model for Production and Inventory Control

作者：Shin Ji Sun^*; Takazaki Noriyuki; Lee Tae Hong; Kim Jin Il; Lee Hee Hyol

来源：Electrical Engineering in Japan, 2011, 175(2): 37-45.

DOI：10.1002/eej.21076

• graphical modeling
• dynamic Bayesian network
• production and inventory control
• probabilistic distribution

In general, production quantities and delivered goods change randomly and consequently total stocks also change randomly. This paper deals with production and inventory control using a Dynamic Bayesian Network. The Bayesian Network is a probabilistic model which represents the qualitative dependence between two or more random variables by a graph structure, and the quantitative relations between individual variables by conditional probabilities. The probabilistic distribution of the total stock is calculated by propagation of probabilities on the network. Furthermore, a rule for adjustment of production quantities maintains the desired probabilities of exceeding the lower and upper limits on total stocks.

• 出版日期2011-4-30