Production allocation optimization by combining distribution free approach with open queueing network theory

Yasuhiko Takemoto, Ikuo Arizono

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We consider production allocation in a discrete manufacturing system formulated as an open queueing network (OQN) composed of some GI/G/1 queueing systems. The lead time performance, such as expectation and variance, in the manufacturing system has been analyzed and discussed using the OQN theory in the previous works. Through the improvement of lead time performance, we can discuss the decrease of the tardiness cost for delivery in the manufacturing system. Then, although the distribution of lead time is frequently required in order to evaluate the tardiness cost for delivery, it is difficult to understand the distribution of lead time exactly. In this article, we have a challenge of assessing the tardiness cost by using only the limited information, such as the expectation and variance of lead time. Concretely, we evaluate the upper bound of tardiness cost by combining the distribution free approach (DFA) with the OQN analysis. Then, a new optimal allocation policy for the production and tardiness costs is proposed.

Original languageEnglish
Pages (from-to)349-358
Number of pages10
JournalInternational Journal of Advanced Manufacturing Technology
Volume63
Issue number1-4
DOIs
Publication statusPublished - Nov 2012

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Queueing networks
Circuit theory
Costs
Electric network analysis

Keywords

  • Distribution free approach
  • Expectation and variance of lead time
  • Open queueing network
  • Production allocation
  • Tardiness cost

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Control and Systems Engineering
  • Computer Science Applications
  • Software
  • Mechanical Engineering

Cite this

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abstract = "We consider production allocation in a discrete manufacturing system formulated as an open queueing network (OQN) composed of some GI/G/1 queueing systems. The lead time performance, such as expectation and variance, in the manufacturing system has been analyzed and discussed using the OQN theory in the previous works. Through the improvement of lead time performance, we can discuss the decrease of the tardiness cost for delivery in the manufacturing system. Then, although the distribution of lead time is frequently required in order to evaluate the tardiness cost for delivery, it is difficult to understand the distribution of lead time exactly. In this article, we have a challenge of assessing the tardiness cost by using only the limited information, such as the expectation and variance of lead time. Concretely, we evaluate the upper bound of tardiness cost by combining the distribution free approach (DFA) with the OQN analysis. Then, a new optimal allocation policy for the production and tardiness costs is proposed.",
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