A Stochastic Model of Production and Inventory Control by the Bayesian Network and A Modification Rule of Production Schedule

カテゴリ: 部門大会

論文No: MC4-5

グループ名: 【C】平成18年電気学会電子・情報・システム部門大会講演論文集

発行日: 2006/09/05

タイトル(英語): A Stochastic Model of Production and Inventory Control by the Bayesian Network and A Modification Rule of Production Schedule

著者名: 申芝仙 (早稲田大学),高崎宣行 (早稲田大学),李羲頡 (早稲田大学)

著者名(英語): Ji-Sun Shin(Waseda University),Noriyuki Takazaki(Waseda University),Hee-Hyol Lee(Waseda University)

キーワード: Bayesian Network|production inventory control|probability distribution

要約(日本語): Abstract-Bayesian Network is a probabilistic model which shows 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. And Bayesian Network is a succession of nodes, representing uncertain state variable linked by arrows that either represent causal or evidential relationships. This paper deals the production and inventory control using the Bayesian Network. 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 limit of the total stock to a certain value is shown.

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