Production adjusting method based on predicted distribution of production and inventory using dynamic Bayesian network

Yeong Hwa Park, Ji Sun Shin, Ki Yun Woo, Fumihiro Shoji, Hee Hyol Lee

研究成果: Conference contribution

抄録

In general, the production quantities and the delivered goods are changed randomly, and then the total stock is also changed randomly. This paper deals with the production and inventory control of an automobile production part line using the Dynamic Bayesian Network. Bayesian Network indicates the quantitative relations between the 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 the lower bound value and the upper bound value of the total stock to certain values is shown.

本文言語English
ホスト出版物のタイトルProceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09
ページ63-68
ページ数6
出版ステータスPublished - 2009 12 1
イベント14th International Symposium on Artificial Life and Robotics, AROB 14th'09 - Oita, Japan
継続期間: 2008 2 52009 2 7

出版物シリーズ

名前Proceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09

Conference

Conference14th International Symposium on Artificial Life and Robotics, AROB 14th'09
国/地域Japan
CityOita
Period08/2/509/2/7

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 人間とコンピュータの相互作用

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