TY - JOUR
T1 - A Single-Run Optimization Algorithm for Stochastic Assembly Line Balancing Problems
AU - Lyu, Jr Jung
N1 - Funding Information:
This research was inspired by Professor R. Suri and partially funded by the National Science Council. The author wishes to thank Mr. W. Liang for his programming efforts during the research period.
PY - 1997
Y1 - 1997
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.
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U2 - 10.1016/s0278-6125(97)88888-7
DO - 10.1016/s0278-6125(97)88888-7
M3 - Article
AN - SCOPUS:0013055270
VL - 16
SP - 204
EP - 210
JO - Journal of Manufacturing Systems
JF - Journal of Manufacturing Systems
SN - 0278-6125
IS - 3
ER -