Tool procurement planning for wafer fabrication facilities: a scenario-based approach

References

• Benson , M. ( 1997 ) Chip makers get break in new bill. Walt Street Journal , m: September 17 , CA4.
   Google Scholar
• Bermon , S. , Feigin , G. and Hood , S. (1995) Capacity analysis of complex manufacturing facilities, in Proceedings of the 34th IEEE Conference on Decision and Control , 2, pp. 1935–40.
   Google Scholar
• Bienstock , D. and Shapiro , J.F. ( 1988 ) Optimizing resource acquisition decisions by stochastic programming. Management Science , 34 ( 2 ), 215 – 229 .
   Web of Science ®Google Scholar
• Birge , J.R. and Louveaux , F.V. ( 1997 ) Introduction to Stochastic Programming , Springer. New York .
   Google Scholar
• Caroe , C.C. and Tind , J. ( 1998 ) L-shaped decomposition of two-stage stochastic programs with integer recourse. Mathematical Programming , 83 , 451 – 464 .
   Web of Science ®Google Scholar
• Caroe , C.C. and Schultz . R. ( 1999 ) Dual decomposition in stochastic integer programming. Operations Research Leiters , 24 , 37 – 45 .
   Web of Science ®Google Scholar
• Eppen , G.D. , Martin , R.K. and Schrage , L. ( 1989 ) A scenario approach to capacity planning. Operations Research , 37 ( 4 ), 517527.
   PubMed Web of Science ®Google Scholar
• Faaland , B.H. ( 1981 ) The multiperiod knapsack problem. Operations Research , 29 ( 3 ), 612 – 616 .
   Web of Science ®Google Scholar
• Fordyce , K. and Sullivan , G. ( 1995 ) A dynamically generated rapid response capacity planning model for semiconductor fabrication facilities, in Impact of Emerging Technologies on Computer Science and Operations Research , Kluwer Publishing, Dordrecht, The Netherlands. pp. 103 – 127 .
   Google Scholar
• Golovin , J.L. ( 1986 ) A total framework for semiconductor production planning and scheduling. Solid State Technology , 29 ( 5 ), 167 – 170 .
   Web of Science ®Google Scholar
• Leachman , R.C. and Carmon , T.F. ( 1992 ) On capacity modeling for production planning with alternative machines. IEE Transactions , 24 ( 4 ), 62 – 72 .
   Web of Science ®Google Scholar
• Leachman , R.C. ( 1993 ) Modeling techniques for automated production planning in the semiconductor industry, in Optimization in Industry , Ciriani , T.A. and Leachman , R.C. (eds], John Wiley, Chicester , UK , pp. 1 – 30 .
   Google Scholar
• Nemhauser , G.L. and Wolsey , L.A. ( 1988 ) Integer and Combinatorial Optimization , Wiley. New York .
   Google Scholar
• Rajagopalan , S. and Swaminathan , J.M. ( 2000 ) A co-ordinated production planning model with capacity expansion and inventory management. Management Science , (in the press).
   Web of Science ®Google Scholar
• Swaminathan , J.M. ( 2000 ) Tool capacity planning for semiconductor fabrication facilities under demand uncertainty. European Journal of Operational Research , 120 ( 2 ), 545 – 558 .
   Web of Science ®Google Scholar
• Swaminathan , J.M. and Tayur , S.R. ( 1998 a) Managing broader product lines through delayed differentiation using vanilla boxes. Management Science , 44 (12.2), S161 – S173 .
   Web of Science ®Google Scholar
• Swaminathan , J.M. and Tayur , S.R. ( l998b ) Stochastic programming models for managing product variety, in Quantitative Models for Supply Chain Management , Tayur , S. , Magazine , M. and Ganeshan , R. (eds), Kluwer Publishers, Norwell , MA . pp. 585 – 624 .
   Google Scholar
• Ulusoy , G. and Uzsoy , R. ( 1994 ) Robust strategy approach to a strategic mobility problem. European Journal of Operational Research , 79 , 266 --276.
   Web of Science ®Google Scholar
• Uzsoy , R. , Lee , C. and Martin-Vega , L.A. ( 1992 ) A review of production planning and scheduling models in the semiconductor industry part-I: system characteristics, performance evaluation and production planning. IEE Transactions , 24 ( 4 ), 47 – 61 .
   Web of Science ®Google Scholar