Approximation Methods for Pricing Problems Under the Nested Logit Model with Price Bounds
Published Online:15 Apr 2015https://doi.org/10.1287/ijoc.2014.0629
References
- (1994) Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press Series in Transportation Studies (MIT Press Series in Transportation Studies, Cambridge, MA).Google Scholar
- (1990) On the compatibility of nested logit models with utility maximization. J. Econometrics 43(3):373–388.Crossref, Google Scholar
- (2009) A column generation algorithm for choice-based network revenue management. Oper. Res. 57(3):769–784.Link, Google Scholar
- (2014) Assortment optimization under variants of the nested logit model. Oper. Res. 62(2):250–273.Link, Google Scholar
- (2009) Dynamic pricing and inventory control of substitute products. Manufacturing Service Oper. Management 11(2):317–339.Link, Google Scholar
- (2014) Constrained assortment optimization for the nested logit model. Management Sci. 60(10):2583–2601.Link, Google Scholar
- (2014) Multiproduct price optimization and competition under the nested logit model with product-differentiated price sensitivities. Oper. Res. 62(2):450–461.Link, Google Scholar
- (2004) Managing flexible products on a network. Technical Report TR-2004-01, Computational Optimization Research Center, Columbia University, New York.Google Scholar
- (1996) Optimizing multinomial logit profit functions. Management Sci. 42(7):992–1003.Link, Google Scholar
- (2011) Assortment optimization under general choice. INFORMS Annual Meeting, Charlotte, NC.Google Scholar
- (2008) A refined deterministic linear program for the network revenue management problem with customer choice behavior. Naval Res. Logist. Quart. 55(6): 563–580.Crossref, Google Scholar
- (2011) Pricing multiple products with the multinomial logit and nested models: Concavity and implications. Manufacturing Service Oper. Management 13(4):549–563.Link, Google Scholar
- (2008) On the choice-based linear programming model for network revenue management. Manufacturing Service Oper. Management 10(2):288–310.Link, Google Scholar
- (1959) Individual Choice Behavior: A Theoretical Analysis (Wiley, New York).Google Scholar
- (1974) Conditional logit analysis of qualitative choice behavior. Zarembka P, ed., Frontiers in Economics (Academic Press, New York), 105–142.Google Scholar
- (1980) Econometric models for probabilistic choice among products. J. Bus. 53(3):S13–29.Crossref, Google Scholar
- (2013) An enhanced concave program relaxation for choice network revenue management. Production Oper. Management 22(1):71–87.Crossref, Google Scholar
- (2014) A branch-and-cut algorithm for the latent-class logit assortment problem. Discrete Appl. Math. 164(1):246–263.Crossref, Google Scholar
- (2009) A PTAS for capacitated sum-of-ratios optimization. Oper. Res. Lett. 37(4): 230–238.Crossref, Google Scholar
- (2010) Dynamic assortment optimization with a multinomial logit choice model and capacity constraint. Oper. Res. 58(6):1666–1680.Link, Google Scholar
- (2013) Assortment optimization under the multinomial logit model with random choice parameters. Technical report, School of Operations Research and Information Engineering, Cornell University, Ithaca, NY.Google Scholar
- (2007) Demand management and inventory control for substitutable products. Technical report, Duke University, Durham, NC.Google Scholar
- (2004) Revenue management under a general discrete choice model of consumer behavior. Management Sci. 50(1):15–33.Link, Google Scholar
- (2012a) Assortment management under the generalized attraction model with a capacity constraint. Technical report, HP Labs, Palo Alto, CA.Google Scholar
- (2012b) Capacitated assortment and price optimization under the multinomial logit model. Oper. Res. Lett. 40(6):492–497.Crossref, Google Scholar
- (1977) On the formation of travel demand models and economic evaluation measures of user benefit. Environ. Planning 9(3):285–344.Crossref, Google Scholar
- (2009) An approximate dynamic programming approach to network revenue management with customer choice. Transportation Sci. 42(3):381–394.Link, Google Scholar
- (2013) Assessing the value of dynamic pricing in network revenue management. INFORMS J. Comput. 25(1): 102–115.Link, Google Scholar

