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

研究成果: Article

1 引用 (Scopus)

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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.

元の言語English
ページ(範囲)1789-1796+10
ジャーナルIEEJ Transactions on Electronics, Information and Systems
128
発行部数12
DOI
出版物ステータスPublished - 2008
外部発表Yes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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