### 抜粋

Bayesian Network is a stochastic 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. This paper deals with the production and inventory control using the dynamic Bayesian network. The probabilistic values of the amount of delivered goods and the production quantities are changed in the real environment, and then the total stock is also changed randomly. The probabilistic distribution of the total stock is calculated through the propagation of the probability on the Bayesian network. Moreover, an adjusting rule of the production quantities to maintain the probability of the lower bound and the upper bound of the total stock to certain values is shown.

元の言語 | English |
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ホスト出版物のタイトル | Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08 |

ページ | 405-410 |

ページ数 | 6 |

出版物ステータス | Published - 2008 12 1 |

イベント | 13th International Symposium on Artificial Life and Robotics, AROB 13th'08 - Oita, Japan 継続期間: 2008 1 31 → 2008 2 2 |

### 出版物シリーズ

名前 | Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08 |
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### Conference

Conference | 13th International Symposium on Artificial Life and Robotics, AROB 13th'08 |
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国 | Japan |

市 | Oita |

期間 | 08/1/31 → 08/2/2 |

### ASJC Scopus subject areas

- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Human-Computer Interaction

## フィンガープリント Stochastic model of production and inventory control using dynamic Bayesian network' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

## これを引用

*Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08*(pp. 405-410). (Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08).