A scenario-based stochastic programming model for the control or dummy wafers downgrading problem

The subject of this paper is to study a realistic planning environment in wafer fabrication for the control or dummy (C/D) wafers problem with uncertain demand. The demand of each product is assumed with a geometric Brownian motion and approximated by a finite discrete set of scenarios. A two‐stage...

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Veröffentlicht in:Applied stochastic models in business and industry Jg. 25; H. 3; S. 263 - 274
Hauptverfasser: Chung, Shu-Hsing, Yang, Yi-Shu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Chichester, UK John Wiley & Sons, Ltd 01.05.2009
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ISSN:1524-1904, 1526-4025
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Abstract The subject of this paper is to study a realistic planning environment in wafer fabrication for the control or dummy (C/D) wafers problem with uncertain demand. The demand of each product is assumed with a geometric Brownian motion and approximated by a finite discrete set of scenarios. A two‐stage stochastic programming model is developed based on scenarios and solved by a deterministic equivalent large linear programming model. The model explicitly considers the objective to minimize the total cost of C/D wafers. A real‐world example is given to illustrate the practicality of a stochastic approach. The results are better in comparison with deterministic linear programming by using expectation instead of stochastic demands. The model improved the performance of control and dummy wafers management and the flexibility of determining the downgrading policy. Copyright © 2008 John Wiley & Sons, Ltd.
AbstractList The subject of this paper is to study a realistic planning environment in wafer fabrication for the control or dummy (C/D) wafers problem with uncertain demand. The demand of each product is assumed with a geometric Brownian motion and approximated by a finite discrete set of scenarios. A two‐stage stochastic programming model is developed based on scenarios and solved by a deterministic equivalent large linear programming model. The model explicitly considers the objective to minimize the total cost of C/D wafers. A real‐world example is given to illustrate the practicality of a stochastic approach. The results are better in comparison with deterministic linear programming by using expectation instead of stochastic demands. The model improved the performance of control and dummy wafers management and the flexibility of determining the downgrading policy. Copyright © 2008 John Wiley & Sons, Ltd.
The subject of this paper is to study a realistic planning environment in wafer fabrication for the control or dummy (C/D) wafers problem with uncertain demand. The demand of each product is assumed with a geometric Brownian motion and approximated by a finite discrete set of scenarios. A two-stage stochastic programming model is developed based on scenarios and solved by a deterministic equivalent large linear programming model. The model explicitly considers the objective to minimize the total cost of C/D wafers. A real-world example is given to illustrate the practicality of a stochastic approach. The results are better in comparison with deterministic linear programming by using expectation instead of stochastic demands. The model improved the performance of control and dummy wafers management and the flexibility of determining the downgrading policy.
Author Yang, Yi-Shu
Chung, Shu-Hsing
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Cites_doi 10.1007/s00170-003-2031-1
10.1109/ISSM.2005.1513313
10.1016/j.ejor.2005.11.010
10.1111/j.2517-6161.1955.tb00191.x
10.1007/s00170-003-2028-9
10.1515/9781400830176
10.1109/IEMT.1994.404711
10.1007/s00170-003-1854-0
10.1287/mnsc.1.3-4.197
10.1109/66.778191
10.1109/ASMC.1997.630777
10.1109/ASMC.1998.731576
10.1007/978-3-642-61370-8_3
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References_xml – reference: Wu MC, Chien CS, Lu KS. Downgrade decision for control/dummy wafers in a fab. The International Journal of Advanced Manufacturing and Technology 2005; 26:585-590.
– reference: Beale EML. On minimizing a convex function subject to linear inequalities. Journal of the Royal Statistical Society 1955; B17:173-184.
– reference: Benavides DL, Duley R, Johnson BE. As good as it gets: optimal fab design and deployment. IEEE Transactions on Semiconductor Manufacturing 1999; 12(3):281-287.
– reference: Lin YS, Chang YH, Chou YC. Application of stochastic programming to tool portfolio planning in semiconductor manufacturing. Journal of Management and Systems 2005; 12(4):1-15.
– reference: Jarrow AR, Rudd A. Option Pricing. Irwin: Homewood, IL, 1983.
– reference: Chung SH, Kang HY, Pearn WL. A linear programming model for the control wafers downgrading problem. The International Journal of Advanced Manufacturing and Technology 2005; 25:377-384.
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– reference: Dixit AK, Pindyck RS. Investment under Uncertainty. Princeton University Press: Princeton, NJ, 1994.
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– ident: e_1_2_1_8_2
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– volume: 17
  start-page: 173
  year: 1955
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  article-title: On minimizing a convex function subject to linear inequalities
  publication-title: Journal of the Royal Statistical Society
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  article-title: Application of stochastic programming to tool portfolio planning in semiconductor manufacturing
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– ident: e_1_2_1_3_2
  doi: 10.1109/ASMC.1997.630777
– ident: e_1_2_1_5_2
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– ident: e_1_2_1_13_2
  doi: 10.1007/978-3-642-61370-8_3
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SubjectTerms control or dummy wafers
downgrading
scenario
stochastic programming
Title A scenario-based stochastic programming model for the control or dummy wafers downgrading problem
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