Dynamic Inventory Management with Learning About the Demand Distribution and Substitution Probability

References

• Agrawal N., Smith S. Optimal retail assortments for substitutable items purchased in set. Naval Res. Logist. Quart. (1998) 50(7):793–822Google Scholar
• Anupindi R., Dada M., Gupta S. Estimation of consumer demand with stockout based substitution: An application to vending machine products. Marketing Sci. (1998) 17(4):406–423Link, Google Scholar
• Armony M., Plambeck E. The impact of duplicate orders on demand estimation and capacity investment. Management Sci. (2005) 51(10):1505–1518Link, Google Scholar
• Azoury K. S. Bayes solution to dynamic inventory models under unknown demand distribution. Management Sci. (1985) 31:1150–1160Link, Google Scholar
• Bensoussan A., Cakanyildirim M., Sethi S. P. A multi-period newsvendor problem with partially observed demand. Math. Oper. Res. (2005) . ForthcomingGoogle Scholar
• Chen L. Optimal information acquisition, inventory control, and forecast sharing in operations management. (2005) . Unpublished PhD thesis, Stanford University, Stanford, CAGoogle Scholar
• Ding X., Puterman M. L., Bisi A. The censored newsvendor and the optimal acquisition of information. Oper. Res. (2002) 50(3):517–527Link, Google Scholar
• Eppen G. D., Iyer A. V. Improved fashion buying with Bayesian updates. Oper. Res. (1997) 45(6):805–819Link, Google Scholar
• Ernst R., Kouvelis P. The effects of selling package goods on inventory decisions. Management Sci. (1999) 45(8):1142–1155Link, Google Scholar
• Ethier S. N., Kurtz T. G.Markov Processes: Characterization and Convergence (1986) (John Wiley & Sons, New York) Crossref, Google Scholar
• Garennes C. Area car buyers line up to purchase hybrids. News-Gazette (2004) June 2). Champaign-Urbana, ILGoogle Scholar
• Hall P., Heyde C. C.Martingale Limit Theory and Its Application (1980) (Academic Press, New York) Google Scholar
• Harpaz G., Lee W. Y., Winkler R. L. Learning, experimentation, and the optimal output decisions of a competitive firm. Management Sci. (1982) 28(6):589–603Link, Google Scholar
• Heyman D. P., Sobel M. J. Stochastic optimization. Stochastic Models in Operations Research (1984) II(McGraw-Hill Book Company, New York) Google Scholar
• Johnson N. L., Kotz S., Kemp A. W.Univariate Discrete Distributions (1992) 2nd ed.(John Wiley & Sons, New York) Google Scholar
• Kok G. A., Fisher M. L. Demand estimation and assortment optimization under substitution: Methodology and application. Oper. Res. (2007) 55:1001–1021Link, Google Scholar
• Lariviere M. A., Porteus E. L. Stalking information: Bayesian inventory management with unobserved lost sales. Management Sci. (1999) 45(3):346–363Link, Google Scholar
• Lippman S. A., McCardle K. F. The competitive newsboy. Oper. Res. (1997) 45(1):54–65Link, Google Scholar
• Lovejoy W. S. Myopic policies for some inventory models with uncertain demand distributions. Management Sci. (1990) 36(6):724–738Link, Google Scholar
• Lu X., Song J. S., Zhu K. On “The censored newsvendor and the optimal acquisition of information”. Oper. Res. (2005) 53(6):1024–1026Link, Google Scholar
• Lu X., Song J. S., Zhu K. Analysis of perishable inventory systems with censored data. Oper. Res. (2006) . ForthcomingGoogle Scholar
• Mahajan S., van Ryzin G., Tayur S., Ganeshan R., Magazine M. Retail inventories and consumer choice. Quantitative Models for Supply Chain Management (1999) (Kluwer Academic Publishers, Norwell, MA) 491–551Crossref, Google Scholar
• Mahajan S., van Ryzin G. Stocking retail assortments under dynamic consumer substitution. Oper. Res. (2001a) 49(3):334–351Link, Google Scholar
• Mahajan S., van Ryzin G. Inventory competition under dynamic consumer choice. Oper. Res. (2001b) 49(5):646–657Link, Google Scholar
• Nahmias S., Smith S. A. Optimizing inventory levels in a two-echelon retailer system with partial lost sales. Management Sci. (1994) 40(5):582–596Link, Google Scholar
• Nauman M. Buyers line up and wait for the Toyota gas-electric hybrid. Mercury News (2004) August 26):1c–2cSan Jose, CAGoogle Scholar
• Netessine S., Rudi N. Centralized and competitive inventory models with demand substitution. Oper. Res. (2003) 51(2):329–335Link, Google Scholar
• Noonan P. S. When customers choose: A multi-product, multi-location newsboy model with substitution. (1995) . Working paper, Emory University, Atlanta, GAGoogle Scholar
• Parlar M. Game theoretic analysis of the substitutable product inventory problem with random demands. Naval Res. Logist. Quart. (1988) 35(3):397–409Crossref, Google Scholar
• Parlar M., Goyal S. K. Optimal ordering decisions for two substitutable products with stochastic demand. OPSEARCH (1984) 21(1):1–15Google Scholar
• Rajaram K., Tang C. S. The impact of product substitution on retail merchandising. Eur. J. Oper. Res. (2001) 135(3):582–601Crossref, Google Scholar
• Scarf H. E. Bayes solution of the statistical inventory problem. Ann. Math. Statist. (1959) 30:490–508Crossref, Google Scholar
• Smith S. A., Agrawal N. Management of multi-item retail inventory system with demand substitution. Oper. Res. (2000) 48(1):50–64Link, Google Scholar
• Wang Q., Parlar M. A three-person game theory model arising in stochastic inventory control theory. Eur. J. Oper. Res. (1994) 76(1):83–97Crossref, Google Scholar