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 |
| Publication status | Published - 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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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 journal › Article
TY - JOUR
T1 - A Single-Run Optimization Algorithm for Stochastic Assembly Line Balancing Problems
AU - Lyu, Jrjung
PY - 1997/1/1
Y1 - 1997/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0013055270&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0013055270&partnerID=8YFLogxK
M3 - Article
VL - 16
SP - 204
EP - 210
JO - Journal of Manufacturing Systems
JF - Journal of Manufacturing Systems
SN - 0278-6125
IS - 3
ER -