DocumentCode :
3276187
Title :
Production planning for semiconductor manufacturing via simulation optimization
Author :
Liu, Jingang ; Li, Chihui ; Yang, Feng ; Wan, Hong ; Uzsoy, Reha
Author_Institution :
West Virginia Univ., Morgantown, WV, USA
fYear :
2011
fDate :
11-14 Dec. 2011
Firstpage :
3612
Lastpage :
3622
Abstract :
This paper is concerned with production planning in manufacturing, which can be loosely defined as the problem of finding a release plan for jobs that minimizes the total cost (or maximizes the total profit). Production planning is a challenging optimization problem due to the variability in manufacturing systems and uncertainty in future demand, both of which have not been adequately addressed by existing production planning models. To address both these issues, this paper formulates the production planning problem as a simulation-based multi-objective optimization problem, and adapts a genetic algorithm to search for a set of release plans that are near-Pareto optimal. The solutions from the simulation optimization approach can serve as a useful benchmark for existing and new production planning methods.
Keywords :
Pareto optimisation; genetic algorithms; integrated circuit manufacture; manufacturing systems; production planning; genetic algorithm; manufacturing systems; near-Pareto optimal; production planning; semiconductor manufacturing; simulation optimization; simulation-based multiobjective optimization problem; Adaptation models; Optimization; Planning; Production planning; Semiconductor device modeling; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2011 Winter
Conference_Location :
Phoenix, AZ
ISSN :
0891-7736
Print_ISBN :
978-1-4577-2108-3
Electronic_ISBN :
0891-7736
Type :
conf
DOI :
10.1109/WSC.2011.6148055
Filename :
6148055
Link To Document :
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