Browse > Article

A Manufacturing Plan for Make-to-Order Semiconductor Plant Considering Cost and Urgent Demand  

Lee, So-Won (Division of Information Management Engineering, Korea University)
Jeon, Hyong-Mo (Shipping, Port & Logistics Research Department, Korea Maritime Institute)
Lee, Joon-Hwan (Neowiz Internet)
Lee, Chul-Ung (Division of Information Management Engineering, Korea University)
Publication Information
IE interfaces / v.23, no.1, 2010 , pp. 12-23 More about this Journal
Abstract
A semiconductor market is one of the most competitive markets in the world. To survive this competition, important targets for production planning are on-time delivery and profit maximization. In our research, we modify the linear programming model for the current production planning by adding new objective functions that maximize the profit. In addition, we propose a production planning process that gives a priority to new products, reflecting daily fluctuations in demand to weekly production planning. We validate our model with real data sets obtained from a major company semiconductor manufacturer and performed the paired t-test to verify the results. The results showed that our model forecasted profit and loss with 93.2% accuracy and improved the due date satisfaction by 10%.
Keywords
SCM; semiconductor; manufacturing plan; cost; demand;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Bae, J. S. and Han, J. K. (2002), Design of Advanced Planning System for Supply Chain Management Supporting ATP, Journal of the Korean Institute of Industrial Engineers, KAIST.
2 Wein, L. M. (1998), Scheduling Semiconductor Wafer Fabrication, IEEE Trans. On Semiconductor Manufacturing, 1, 115-130.
3 Yoon, H. J. and Lee, D. Y. (1999), Real-Time Scheduling of Wafer Fabrication with Multiple Product Types, Proceeding of the 1999 IEEE International Conference on Systems, Man, and Cybernetics, 835-84.
4 Ha, J. W. (2008), Critical Success Factors for the Implementation of Supply Chain Planning System, Entrue Journal of Information Technology, 7(1), 79-88.
5 Ha, T. O. (2006), A Study on the Factors and Enablers that Affect on the Alignment of Plan with Execution in Supply Chain Management, Ph. D. Dissertation, KyungHee University.
6 Kang, Y. H., Lee, H. C., and Kim, S. S. (1998), Scheduling Jobs with different Due-Date on Nonidentical Parallel Machines, Journal of the Korean Institute of Industrial Engineers, 24, 37-50.
7 Lee, H. L., Padmanabhan, V., and Whang, S. (1997), Information distortion in a supply chain:The bullwhip effect, Management Science, 43(4), 546-558.   DOI   ScienceOn
8 Lee, B. K. (2008), Cost Strategy, 5th, Serowon Jean, 89-108.
9 Lu, S. H., Ramaswamy, D., and Kumar, P. R. (1994) Efficient Scheduling Policies to Reduce Mean and Variance of Cycle-Time in Semiconductor Manufacturing Plants, IEEE Trans. On Semiconductor Manufacturing, 7, 374-388.   DOI   ScienceOn
10 Oliver, R., and Webber, M. (1982), Supply Chain Management:Logistics catches up with Strategy, in:Booz, Allen and Hamiton: Outlook.
11 Glassey, C. R., and Resende, M. C. G. (1988), A Scheduling Rule for Job Release in Semiconductor Fabrication, Operations Research Letters, 7, 213-217.   DOI   ScienceOn
12 Ross, D. F. (1998), Competing through Supply Chain Management:Creating Market Winning Strategies Through Supply Chain Partnership, Kluwer Academic Publishers, Boston.
13 Baek, J. K. (2002), A Study on Planning and Scheduling System for Make-to-Order Semiconductor Manufacturing, Ph. D. Dissertation, Korea University.
14 Farley, G. A. (1997), Discovering Supply Chain Management:a Roundtable Discussion, APCIS-the Performance Advantage, 38-39.