Meissner, Joern and Strauss, Arne. (2012) Network revenue management with inventory-sensitive bid prices and customer choice. European Journal of Operational Research, 216 (2). pp. 459-468. ISSN 0377-2217

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Abstract

We develop an approximate dynamic programming approach to network revenue management models with customer choice that approximates the value function of the Markov decision process with a non-linear function which is separable across resource inventory levels. This approximation can exhibit significantly improved accuracy compared to currently available methods. It further allows for arbitrary aggregation of inventory units and thereby reduction of computational workload, yields upper bounds on the optimal expected revenue that are provably at least as tight as those obtained from previous approaches. Computational experiments for the multinomial logit choice model with distinct consideration sets show that policies derived from our approach can outperform some recently proposed alternatives, and we demonstrate how aggregation can be used to balance solution quality and runtime.

Item Type:	Journal Article
Subjects:	H Social Sciences > HF Commerce
Divisions:	Faculty of Social Sciences > Warwick Business School > Operational Research & Management Sciences
Journal or Publication Title:	European Journal of Operational Research
Publisher:	Elsevier Science BV
ISSN:	0377-2217
Date:	16 January 2012
Volume:	216
Number:	2
Page Range:	pp. 459-468
Identification Number:	10.1016/j.ejor.2011.06.033
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
URI:	http://wrap.warwick.ac.uk/id/eprint/50093

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