A Dynamic Bayesian Network Model for production and inventory control

Ji Sun Shin, Noriyuki Takazaki, Tae Hong Lee, Jin Il Kim, HeeHyol Lee

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In general, production quantities and delivered goods change randomly and consequently total stocks also change randomly. This paper deals with production and inventory control using a Dynamic Bayesian Network. The Bayesian Network is a probabilistic model which represents the qualitative dependence between two or more random variables by a graph structure, and the quantitative relations between individual variables by conditional probabilities. The probabilistic distribution of the total stock is calculated by propagation of probabilities on the network. Furthermore, a rule for adjustment of production quantities maintains the desired probabilities of exceeding the lower and upper limits on total stocks.

Original languageEnglish
Pages (from-to)1789-1796
Number of pages8
JournalElectrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
Volume175
Issue number2
DOIs
Publication statusPublished - 2011 Apr 30

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Inventory control
Production control
Bayesian networks
Random variables

Keywords

  • dynamic Bayesian network
  • graphical modeling
  • probabilistic distribution
  • production and inventory control

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

Cite this

A Dynamic Bayesian Network Model for production and inventory control. / Shin, Ji Sun; Takazaki, Noriyuki; Lee, Tae Hong; Kim, Jin Il; Lee, HeeHyol.

In: Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi), Vol. 175, No. 2, 30.04.2011, p. 1789-1796.

Research output: Contribution to journalArticle

Shin, Ji Sun ; Takazaki, Noriyuki ; Lee, Tae Hong ; Kim, Jin Il ; Lee, HeeHyol. / A Dynamic Bayesian Network Model for production and inventory control. In: Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi). 2011 ; Vol. 175, No. 2. pp. 1789-1796.
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