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

Jr Jung Lyu

doi:10.1016/s0278-6125(97)88888-7

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

Jr Jung Lyu

Research output: Contribution to journal › Article › peer-review

26 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 language	English
Pages (from-to)	204-210
Number of pages	7
Journal	Journal of Manufacturing Systems
Volume	16
Issue number	3
DOIs	https://doi.org/10.1016/s0278-6125(97)88888-7
Publication status	Published - 1997 Jan 1

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1016/s0278-6125(97)88888-7

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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