Stochastic model of production and inventory control using dynamic Bayesian network

Ji Sun Slim, Tae Hong Lee, Jin Il Kim, HeeHyol Lee

研究成果: Conference contribution

抄録

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
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
イベント13th International Symposium on Artificial Life and Robotics, AROB 13th'08 - Oita
継続期間: 2008 1 312008 2 2

Other

Other13th International Symposium on Artificial Life and Robotics, AROB 13th'08
Oita
期間08/1/3108/2/2

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Inventory control
Production control
Bayesian networks
Stochastic models
Random variables

ASJC Scopus subject areas

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

これを引用

Slim, J. S., Lee, T. H., Kim, J. I., & Lee, H. (2008). Stochastic model of production and inventory control using dynamic Bayesian network. : Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08 (pp. 405-410)

Stochastic model of production and inventory control using dynamic Bayesian network. / Slim, Ji Sun; Lee, Tae Hong; Kim, Jin Il; Lee, HeeHyol.

Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08. 2008. p. 405-410.

研究成果: Conference contribution

Slim, JS, Lee, TH, Kim, JI & Lee, H 2008, Stochastic model of production and inventory control using dynamic Bayesian network. : Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08. pp. 405-410, 13th International Symposium on Artificial Life and Robotics, AROB 13th'08, Oita, 08/1/31.
Slim JS, Lee TH, Kim JI, Lee H. Stochastic model of production and inventory control using dynamic Bayesian network. : Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08. 2008. p. 405-410
Slim, Ji Sun ; Lee, Tae Hong ; Kim, Jin Il ; Lee, HeeHyol. / Stochastic model of production and inventory control using dynamic Bayesian network. Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08. 2008. pp. 405-410
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