A Dynamic Bayesian Network model for the production and inventory control

Ji Sun Shin*, Noriyuki Takazaki, Tae Hong Lee, Jin Il Kim, Hee Hyol Lee

*この研究の対応する著者

研究成果: Article査読

1 被引用数 (Scopus)

抄録

In general, the production quantities and delivered goods are changed randomly and then the total stock is also changed randomly. This paper deals with the production and inventory control using the Dynamic Bayesian Network. Bayesian Network is a probabilistic model which represents the qualitative dependence between two or more random variables by the graph structure, and indicates the quantitative relations between 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 a lower limit and a ceiling of the total stock to certain values is shown.

本文言語English
ページ(範囲)1789-1796+10
ジャーナルIEEJ Transactions on Electronics, Information and Systems
128
12
DOI
出版ステータスPublished - 2008
外部発表はい

ASJC Scopus subject areas

  • 電子工学および電気工学

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