A Single-Run Optimization Algorithm for Stochastic Assembly Line Balancing Problems

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

This paper presents a new algorithm for solving stochastic line balancing problems. The proposed algorithm is based on the single-run optimization approach, which is applied to find the optimal parameters of a simulation model. A comparison with other developed algorithms in the literature shows that the proposed algorithm is fast, accurate, and relatively robust in solving stochastic assembly line balancing problems. The experimental results indicate the proposed algorithm is worthy of further study.

Original languageEnglish
Pages (from-to)204-210
Number of pages7
JournalJournal of Manufacturing Systems
Volume16
Issue number3
Publication statusPublished - 1997 Jan 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Hardware and Architecture
  • Industrial and Manufacturing Engineering

Cite this

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abstract = "This paper presents a new algorithm for solving stochastic line balancing problems. The proposed algorithm is based on the single-run optimization approach, which is applied to find the optimal parameters of a simulation model. A comparison with other developed algorithms in the literature shows that the proposed algorithm is fast, accurate, and relatively robust in solving stochastic assembly line balancing problems. The experimental results indicate the proposed algorithm is worthy of further study.",
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A Single-Run Optimization Algorithm for Stochastic Assembly Line Balancing Problems. / Lyu, Jrjung.

In: Journal of Manufacturing Systems, Vol. 16, No. 3, 01.01.1997, p. 204-210.

Research output: Contribution to journalArticle

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