Performance evaluation of SCM in JIT environment

Mitsutoshi Kojima, Kenichi Nakashima, Katsuhisa Ohno

研究成果: Article査読

26 被引用数 (Scopus)

抄録

Under stochastic demand and deterministic processing times, we discussed a single-stage JIT production system with the production-ordering and supplier kanbans and derived a probability generating function (p.g.f.) of the stationary distributions of the backlogged demand. In this paper, we extend the system to supply chain management (SCM) in JIT environment with two kinds of kanbans under stochastic demand, deterministic processing times and withdrawals with lead time. These conditions are more realistic than the previous papers. We develop an algorithm for the exact performance evaluation of the SCM such as the stationary distributions of the inventory level, production quantities and total backlogged demand in each stage, using discrete-time Markov process. Optimal numbers of two kinds of kanbans in the system are determined by minimizing a general total cost function. Numerical examples are given to show the efficiency of the proposed approach.

本文言語English
ページ(範囲)439-443
ページ数5
ジャーナルInternational Journal of Production Economics
115
2
DOI
出版ステータスPublished - 2008 10
外部発表はい

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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