Coordinating Strategic Capacity Planning in the Semiconductor Industry

References

  • Benders J. F. Partitioning procedures for solving mixed variables programming problems. Numer. Math. (1962) 4:238–252CrossrefGoogle Scholar
  • Berman O., Ganz Z., Wagner J. M. A stochastic optimization model for planning capacity expansion in a service industry under uncertain demand. Naval Res. Logist. (1994) 41:545–564CrossrefGoogle Scholar
  • Bienstock D., Shapiro J. F. Optimizing resource acquisition decisions by stochastic programming. Management Sci. (1988) 34(2):215–229LinkGoogle Scholar
  • Birge J. R., Louveaux F.Introduction to Stochastic Programming (1997) (Springer Series in Operations Research, Springer-Verlag, New York) Google Scholar
  • Birge J. R., Wets R. J.-B. Designing approximation schemes for stochastic optimization problems, in particular for stochastic programs with recourse. Math. Programming Study (1986) 27:54–102CrossrefGoogle Scholar
  • Burton R. M., Obel B. The efficiency of the price, budget, and mixed approaches under varying a priori information levels for decentralized planning. Management Sci. (1980) 26(4):401–417LinkGoogle Scholar
  • Burton R. M., Obel B.Designing Efficient Organizations: Modelling and Experimentation (1984) (Elsevier Science Publishing Company, New York) Google Scholar
  • Burton R. M., Obel B., Burton R., Obel B. Mathematical contingency modeling for organizational design: Taking stock. Design Models for Hierarchical Organizations: Computation Information and Decentralization (1995) (Kluwer Academic Publishers, Boston, MA) CrossrefGoogle Scholar
  • Christensen J., Obel B. Simulation of decentralized planning in two Danish organizations using linear programming decomposition. Management Sci. (1978) 24(15):1658–1667LinkGoogle Scholar
  • Christie R., Wu S. D. Semiconductor capacity planning: Stochastic modeling and computational studies. IIE Trans. Oper. Engrg. Special Issue Semiconductor Appl. (2002) 34(2):131–143CrossrefGoogle Scholar
  • Dantzig G. B. Linear programming under uncertainty. Management Sci. (1955) 1(34):197–206LinkGoogle Scholar
  • Eppen G. D., Martin R. K., Schrage L. A scenario approach to capacity planning. Oper. Res. (1989) 37(4):517–527LinkGoogle Scholar
  • Escudero L. F., Kamesam P. V., King A. J., Wets R. J.-B. Production planning via scenario modeling. Ann. Oper. Res. (1993) 43:311–335CrossrefGoogle Scholar
  • Kall P., Wallace S. W. Wiley-Interscience Series in Systems and Optimization. Stochastic Programming (1994) (John Wiley and Sons, New York) Google Scholar
  • Karabuk S., Wu S. D. Decentralizing semiconductor capacity planning via internal market coordination. IIE Trans. Oper. Engrg. Special Issue Advances Large-Scale Optim. Logis. Production Manufacturing Systems (2002) 34:743–759Google Scholar
  • Louveaux F. Multistage stochastic programs with block-separable recourse. Math. Programming Study (1986) 28:48–62CrossrefGoogle Scholar
  • Marshak J., Radnor R.The Economic Theory of Teams (1972) (Yale University Press, New Haven, CT) Google Scholar
  • Prekopa A.Stochastic Programming (1995) (Kluwer Academic Publishers, Dordrecht, The Netherlands) CrossrefGoogle Scholar
  • Takriti S., Birge J. R., Long E. A stochastic model for the unit commitment problem. IEEE Trans. Power Systems (1996) 11(3):1497–1508CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.