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Reductions of non-separable approximate linear programs for network revenue management

Simon Laumer and Christiane Barz

European Journal of Operational Research, 2023, vol. 309, issue 1, 252-270

Abstract: We suggest a novel choice of non-separable basis functions for an approximate linear programming approach to the well-known network revenue management problem. Considering non-separability is particularly important when interdependencies between resources are large. Such a situation can be illustrated for example by a bus line, where different origin-destination pairs have many overlapping segments. Traditional separable approximation approaches tend to ignore the resulting interactions.

Keywords: Revenue management; Approximate dynamic programming; Network revenue management; Reductions; Non-separability (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:309:y:2023:i:1:p:252-270

DOI: 10.1016/j.ejor.2023.01.006

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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