Network Revenue Management with Inventory-Sensitive Bid Prices and Customer Choice

Meissner, J and Strauss, A K (2010) Network Revenue Management with Inventory-Sensitive Bid Prices and Customer Choice. Working Paper. The Department of Management Science, Lancaster University.

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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, and is asymptotically optimal under fluid scaling. Computational experiments for the multinomial logit choice model with distinct consideration sets show that policies derived from our approach outperform available alternatives, and we demonstrate how aggregation can be used to balance solution quality and runtime.

Item Type:
Monograph (Working Paper)
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/aacsb/disciplinebasedresearch
Subjects:
ID Code:
48999
Deposited By:
Deposited On:
11 Jul 2011 21:27
Refereed?:
No
Published?:
Published
Last Modified:
10 Jul 2020 01:23