A Postponement Model for Demand Management

References

• Azoury K. S. Bayes solution to dynamic inventory models under unknown demand distribution. Management Sci. (1985) 31:1150–1160Link, Google Scholar
• Biyalogorsky E., Carmon Z., Fruchter G. E., Gerstner E. Research note: Overselling with opportunistic cancellations. Marketing Sci. (1999) 18(4):605–610Link, Google Scholar
• Carr S., Lovejoy W. The inverse newsvendor problem: Choosing an optimal demand portfolio for capacitated resources. Management Sci. (2000) 46(7):912–927Link, Google Scholar
• Chen F. Market segmentation, advanced demand information, and supply chain performance. Manufacturing Service Oper. Management (2001) 3(1):53–67Link, Google Scholar
• Dalby J. S., Flaherty T. Liz Claiborne, Inc. and Ruentex Industries, Ltd. (1990) (Harvard Business School Case 9-690-048, Cambridge, MA) Google Scholar
• Dana J. D. Using yield management to shift demand when the peak time is unknown. RAND J. Econom. (1999) 30(3):456–474Crossref, Google Scholar
• DeGroot M. H.Optimal Statistical Decisions (1970) (McGraw-Hill, New York) Google Scholar
• Emshwiller J. R. The big power crunch. Wall Street J. (2001) May 9):B1Google Scholar
• Eppen G. D., Iyer A. V. Improved fashion buying with Bayesian updates. Oper. Res. (1997) 45(6):805–819Link, Google Scholar
• Feitzinger E., Lee H. L. Mass customization at Hewlett-Packard: The power of postponement. Harvard Bus. Rev. (1997) (Jan-Feb)):116–121Google Scholar
• Fisher M., Rajaram K., Raman A. Optimizing inventory replenishment of retail fashion products. Manufacturing Service Oper. Management (2001) 3(3Google Scholar
• Fisinger J. Peak load pricing and rationing policies. J. Econom. (1980) 40(2):169–182Google Scholar
• Garg A., Tang C. S. On postponement strategies for product families with multiple points of differentiation. IIE Trans (1997) 29:641–650Crossref, Google Scholar
• Gerchak Y., Henig M. An inventory model with component commonality. Oper. Res. Lett. (1986) 5:157–160Crossref, Google Scholar
• Gurnani H., Tang C. S. Optimal ordering decisions with uncertain cost and demand forecast updating. Management Sci. (1999) 45(10):1456–1462Link, Google Scholar
• Heskett J. L., Signorelli S. Benetton. (1989) (Harvard Business School Case 9-685-014, Cambridge, MA) Google Scholar
• Iglehart D. L. The dynamic inventory problem with unknown demand distribution. Management Sci. (1964) 10:429–440Link, Google Scholar
• Karlin S. Dynamic inventory policy with varying stochastic demands. Management Sci. (1960) 6:231–258Link, Google Scholar
• Kimes S. E. Yield management: A tool for capacity-constrained service firms. J. Oper. Management (1989) 8:348–363Crossref, Google Scholar
• Lee H., Tang C. S. Modeling the costs and benefits of delayed product differentiation. Management Sci. (1997) 43(1):40–53Link, Google Scholar
• Lilien G. L., Kotler P., Moorthy K. S.Marketing Models (1992) (Prentice Hall, Englewood Cliffs, NJ) Google Scholar
• Little John D. C. BRANDAID: A marketing mix model. Part I: Structure. Part II: Implementation. Oper. Res. (1975) 23:628–673Link, Google Scholar
• Loch C. Pricing in markets sensitive to delay. (1991) (Stanford University, Stanford, CA) . Ph.D. dissertation, Graduate School of BusinessGoogle Scholar
• Lovejoy W. S. Myopic policies for some inventory models with uncertain demand distributions. Management Sci. (1990) 36:724–738Link, Google Scholar
• Marchand M. G. Pricing power supplied on an interruptible basis. Eur. Econom. Rev. (1974) 5:263–274Crossref, Google Scholar
• Milner J. M., Kouvelis P. On the complementary value of accurate demand information and production and supplier flexibility. Manufacturing Service Oper. Management (2002) 4(2):99–113Link, Google Scholar
• Moorthy K. S. Product and price competition in a duopoly. Marketing Sci. (1988) 7(2):141–168Link, Google Scholar
• Odlyzko A. Paris metro pricing for the internet. Proc. ACM Conf. Electronic Commerce (1999) Denver CO:140–147Google Scholar
• Oren S., Doucet J. A. Interruption insurance for generation and distribution of electric power. J. Regulatory Econom. (1990) 2(1):5–19Crossref, Google Scholar
• Oren S., Smith S. A. Design and management of curtailable electricity service to reduce annual peaks. Oper. Res. (1992) 40(2):213–228Link, Google Scholar
• Scarf H. Bayes solutions of the statistical inventory problem. Ann. Math. Statist. (1959) 30:490–508Crossref, Google Scholar
• Smith S. A. Efficient menu structure for pricing interruptible electric power service. J. Regulatory Econom. (1989) 1(3):203–224Crossref, Google Scholar
• Stokey N. Intertemporal price discrimination. Quart. J. Econom. (1979) 93:355–371Crossref, Google Scholar
• Swaminathan J. M., Tayur S. R. Managing broader product lines through delayed differentiation using vanilla boxes. Management Sci. (1998) 44:S161–S172Link, Google Scholar
• Thurm S. California is showing surprising resistance to electricity shock: Juggling shifts at a flour mill. Wall Street J. (2001) Feb. 9):A1Google Scholar