A genetic algorithm approach for the buffer allocation problem in unreliable production lines

Chrissoleon T. Padopopaulos, Theofanis I. Karagiannis

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

A genetic algorithm approach is proposed for solving the buffer allocation problem in unreliable production lines with exponentially distributed service completion times. The problem entails the determination of near optimal buffer allocation plans in large production lines with the objective of maximizing their throughput. The latter is calculated utilizing a decomposition method. The allocation plan is calculated subject to a given amount of total buffer slots in a computationally efficient way.

Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalInternational Journal of Operations and Quantitative Management
Volume7
Issue number1
Publication statusPublished - Dec 1 2001

Keywords

  • Buffer allocation
  • Genetic algorithms
  • Optimization
  • Performance evaluation
  • Production lines

ASJC Scopus subject areas

  • Business and International Management
  • Strategy and Management
  • Management Science and Operations Research
  • Information Systems and Management
  • Management of Technology and Innovation

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