Optimal capacity expansion for multi-product, multi-machine manufacturing systems with stochastic demand

References

• Angelus , A. , Porteus , E. L. and Wood , S. C. 1997 . Optimal sizing and timing of capacity expansions with implications for modular semiconductor wafer fabs , Stanford, CA : Graduate School of Business, Stanford University . Research paper No. 1479
   Google Scholar
• Anon . 1998 . 1998 Annual Report & Directory , San Jose, CA : Semiconductor Industry Association .
   Google Scholar
• Bard , J. , Srinivasan , K. and Tirupati , D. 1999 . An optimization approach to capacity expansion in semiconductor manufacturing facilities . International Journal of Production Research , 15 : 3359 – 3382 .
   Web of Science ®Google Scholar
• Bean , J. C. , Higle , J. L. and Smith , R. L. 1992 . Capacity expansion under stochastic demands . Operations Research , 40 : S210 – S216 .
   Web of Science ®Google Scholar
• Berman , O. , Ganz , Z. and Wagner , J. M. 1994 . A stochastic optimization model for planning capacity expansion in a service industry under uncertain demand . Naval Research Logistics , 41 : 545 – 564 .
   Web of Science ®Google Scholar
• Bermon , S. and Hood , S. J. 1999 . Capacity optimization planning system (CAPS) . Interfaces , 5 : 31 – 50 .
   Web of Science ®Google Scholar
• Bhatnagar , S. , Fernandez-Gaucherand , E. , Fu , M. C. , He , Y. and Marcus , S. I. 1999 . A Markov decision process for capacity expansion and allocation , College Park, MD : University of Maryland . Technical report, ISR
   Google Scholar
• Birge , J. R. and Louveaux , F. 1997 . Introduction to Stochastic Programming , New York, NY : Springer Verlag .
   Google Scholar
• Çakanyıldırım , M. and Roundy , R. 1999 . SeDFAM: semiconductor demand forecast accuracy model , Ithaca, NY : Cornell University . Technical paper no. 1230, SORIE
   Google Scholar
• Çakanyıldırım , M. , Roundy , R. and Wood , S. C. 1999 . Machine purchasing strategies under demand- and technology-driven uncertainties , Ithaca, NY : Cornell University . Technical paper no. 1250, SORIE
   Google Scholar
• Chen , Z.-L. , Li , S. and Tirupati , D. 1998 . A scenario/based stochastic programming approach for technology and capacity planning , Philadelphia, PA : Department of Systems Engineering, University of Pennysylvania . Working paper 98–04
   Google Scholar
• Chou , W. and Everton , J. 1996 . “ Capacity planning for development wafer fab expansion ” . In Proceeding of the IEEE/SEMI Advanced Semiconductor Manufacturing Conference and Workshop, ASMC 96 , Edited by: Institute of Electrical and Electronics Engineers . 17 – 22 . Piscataway, NJ : The Institute of Electrical and Electronics Engineers, Inc. .
   Google Scholar
• Davis , M. H. A. , Dempster , M. A. H. , Sethi , S. P. and Vermes , D. 1987 . Optimal capacity expansion under uncertainty . Advances in Applied Probability , 19 : 156 – 176 .
   Web of Science ®Google Scholar
• Dixit , A. 1997 . Investment and employment dynamics in the short run and the long run . Oxford Economic Papers , 49 : 1 – 20 .
   Web of Science ®Google Scholar
• Eberly , J. C. and Van Mieghem , J. A. 1997 . Multi-factor dynamic investment under uncertainty . Journal of Economic Theory , 75 : 345 – 387 .
   Web of Science ®Google Scholar
• Eppen , G. D. , Martin , R. K. and Scrage , L. 1989 . A scenario approach to capacity planning . Operations Research , 37 : 517 – 527 .
   Web of Science ®Google Scholar
• Escudero , L. F. , Kamesam , P. V. , King , A. J. and Wets , R. J. B. 1993 . Production planning with scenario modelling . Annals of Operations Research , 43 : 311 – 335 .
   Web of Science ®Google Scholar
• Gallo , G. , Grigoriadis , M. D. and Tarjan , R. E. 1989 . A fast parametric maximum flow algorithm and applications . SIAM Journal on Computing , 18 : 30 – 55 .
   Web of Science ®Google Scholar
• Karabuk , S. and Wu , S. D. 1999 . Coordinating strategies capacity planning in the semiconductor industry , Bethlehem, PA : Department of IMSE, Lehigh University . Technical report 99T-11
   Google Scholar
• Law , A. V. and Kelton , W. D. 2000 . Simulation Modeling and Analysis , 3rd ed. , New York : McGraw-Hill .
   Google Scholar
• Luss , H. 1982 . Operations research and capacity expansion problems: a survey . Operations Research , 30 : 907 – 947 .
   Web of Science ®Google Scholar
• Nguyen , Q. C. and Venkateswaran , V. 1993 . “ Emplementation of Goldberg. Tarjan maximum flow algorithm ” . In Network Flows and Matching: First DIMACS Implementation Challenge , Edited by: Johnson , D. S. and McGeoch , C. C. 19 – 42 . Providence, RI : American Mathematical Society .
   Google Scholar
• Rajagopalan , S. , Singh , M. R. and Morton , E. M. 1998 . Capacity expansion and replacement in growing markets with uncertain technological breakthroughs . Management Science , 44 : 12 – 30 .
   Web of Science ®Google Scholar
• Rocklin , S. M. , Kashper , A. and Varvaloucas , G. C. 1984 . Capacity expansion/contraction of a facility with a demand augmentation dynamics . Operations Research , 32 : 133 – 147 .
   Web of Science ®Google Scholar
• Sethi , S. P. , Taksar , M. and Zhang , Q. 1995 . Hierarchical capacity expansion and production planning decisions in stochastic manufacturing systems . Journal of Operations Management , 12 : 331 – 352 .
   Google Scholar
• Swaminathan , J. M. 2000 . Tool capacity planning for semiconductor fabrication facilities under demand uncertainty . European Journal of Operational Research , 120 : 545 – 558 .
   Web of Science ®Google Scholar
• Swaminathan , J. M. 2002 . Tool procurement planning for wafer fablication facilities: a scenario-based approach . IIE Transacctions , 34 : 145 – 155 .
   Web of Science ®Google Scholar
• Wets , R. J. B. 1989 . “ Stochastic programming ” . In Optimization: Handbooks in Operations Research and Management Science , Edited by: Nemhauser , A. H. G. , Kan , R. and Todd , M. J. Amsterdam, , The Netherlands : Elsevier . Ch. VIII
   Google Scholar