TY - JOUR
T1 - An evolutionary-simulation approach for the optimization of multi-constant work-in-process strategy-A case study
AU - Yang, Taho
AU - Fu, Hsin Pin
AU - Yang, Kuang Yi
N1 - Funding Information:
The authors wish to thank the anonymous company for providing the data to allow development of this case study research. The National Science Council of Taiwan, ROC, supported this work, in part, under Grants NSC90-2212-E006-076 and NSC93-2213-E006-065. The authors also thank Ihui Chang for coding the eM-Plant program.
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007/5
Y1 - 2007/5
N2 - This research addressed an evolutionary-simulation optimization approach in solving a multi-constant work-in-process (multi-CONWIP) pull strategy problem. A case study is adopted to illustrate the performance of the applied methodology. Both the single-loop CONWIP and the just-in-time (JIT) control strategies are a special case of the proposed multi-CONWIP strategy. Empirical results showed that the proposed multi-CONWIP strategy outperformed the single-loop CONWIP and JIT for the case study problem. In general, the proposed methodology was effective and robust for the proposed problem. However, computational complexity existed for some instances; and these computational efficiency problems are addressed as potential future research opportunities.
AB - This research addressed an evolutionary-simulation optimization approach in solving a multi-constant work-in-process (multi-CONWIP) pull strategy problem. A case study is adopted to illustrate the performance of the applied methodology. Both the single-loop CONWIP and the just-in-time (JIT) control strategies are a special case of the proposed multi-CONWIP strategy. Empirical results showed that the proposed multi-CONWIP strategy outperformed the single-loop CONWIP and JIT for the case study problem. In general, the proposed methodology was effective and robust for the proposed problem. However, computational complexity existed for some instances; and these computational efficiency problems are addressed as potential future research opportunities.
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U2 - 10.1016/j.ijpe.2006.02.014
DO - 10.1016/j.ijpe.2006.02.014
M3 - Article
AN - SCOPUS:33846932977
SN - 0925-5273
VL - 107
SP - 104
EP - 114
JO - International Journal of Production Economics
JF - International Journal of Production Economics
IS - 1
ER -