Dynamic simultaneous fare proration for large-scale network revenue management
Kemmer, P., Strauss, Arne and Winter, T.. (2012) Dynamic simultaneous fare proration for large-scale network revenue management. Journal of the Operational Research Society, Vol.63 (No.10). pp. 1336-1350. ISSN 0160-5682Full text not available from this repository.
Official URL: http://dx.doi.org/10.1057/jors.2011.143
Network revenue management is concerned with managing demand for products that require inventory from one or several resources by controlling product availability and/or prices in order to maximize expected revenues subject to the available resource capacities. One can tackle this problem by decomposing it into resource-level subproblems that can be solved efficiently, for example by dynamic programming. We propose a new dynamic fare proration method specifically having large-scale applications in mind. It decomposes the network problem by fare proration and solves the resource-level dynamic programs simultaneously using simple, endogenously obtained dynamic marginal capacity value estimates to update fare prorations over time. An extensive numerical simulation study demonstrates that the method results in tightened upper bounds on the optimal expected revenue, and that the obtained policies are very effective with regard to achieved revenues and required runtime.
|Item Type:||Journal Article|
|Subjects:||H Social Sciences > HF Commerce|
|Divisions:||Faculty of Social Sciences > Warwick Business School > Operational Research & Management Sciences
Faculty of Social Sciences > Warwick Business School
|Journal or Publication Title:||Journal of the Operational Research Society|
|Publisher:||Palgrave Macmillan Ltd.|
|Official Date:||October 2012|
|Page Range:||pp. 1336-1350|
|Access rights to Published version:||Restricted or Subscription Access|
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