TY - JOUR
T1 - Solving a multi-objective simulation model using a hybrid response surface method and lexicographical goal programming approach-a case study on integrated circuit ink-marking machines
AU - Yang, T.
AU - Tseng, L.
N1 - Funding Information:
Acknowledgements—We thank the anonymous IC packaging company for providing the case study. We are also grateful to two anonymous reviewers for helpful suggestions that improved the presentation of this paper. This work is supported in part by the National Science Council of Taiwan, Republic of China under grant NSC89-2212-E006-095.
PY - 2002/2
Y1 - 2002/2
N2 - In an integrated circuit (IC) packaging plant, the ink-marking machine has a significantly higher throughput than the other processing machines. When periodic demand surges result in backlog orders or in lost customers, there is a need to increase system throughput. To resolve this problem, the purchase of a new machine often results in excess capacity in addition to added operation and acquisition costs. Therefore, the productivity improvement effort has priority over the machine purchase decision. This paper seeks to optimize both throughput and cycle time performance for IC ink-marking machines. While throughput increase is the primary objective, there is an acceptable cycle time limit for a feasible solution. It is a multi-objective problem. The proposed solution methodology constructed a simulation meta model for the ink-marking operation by using a fractional factorial experimental design and regression analysis. It is then solved by a hybrid response surface method and lexicographical goal programming approach. Solution results illustrated a successful application.
AB - In an integrated circuit (IC) packaging plant, the ink-marking machine has a significantly higher throughput than the other processing machines. When periodic demand surges result in backlog orders or in lost customers, there is a need to increase system throughput. To resolve this problem, the purchase of a new machine often results in excess capacity in addition to added operation and acquisition costs. Therefore, the productivity improvement effort has priority over the machine purchase decision. This paper seeks to optimize both throughput and cycle time performance for IC ink-marking machines. While throughput increase is the primary objective, there is an acceptable cycle time limit for a feasible solution. It is a multi-objective problem. The proposed solution methodology constructed a simulation meta model for the ink-marking operation by using a fractional factorial experimental design and regression analysis. It is then solved by a hybrid response surface method and lexicographical goal programming approach. Solution results illustrated a successful application.
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U2 - 10.1057/palgrave.jors.2601284
DO - 10.1057/palgrave.jors.2601284
M3 - Article
AN - SCOPUS:0036477198
VL - 53
SP - 211
EP - 221
JO - Journal of the Operational Research Society
JF - Journal of the Operational Research Society
SN - 0160-5682
IS - 2
ER -