標題: A linear programming-based method for the network revenue management problem of air cargo
作者: Huang, Kuancheng
Lu, Heng
運輸與物流管理系 註:原交通所+運管所
Department of Transportation and Logistics Management
關鍵字: revenue management;air cargo;demand uncertainty;mathematical programming
公開日期: 1-Jan-2015
摘要: One critical operational issue of air cargo operation faced by airlines is the control over the sales of their limited cargo space. Since American Airlines' successful implementation in the post-deregulation era, revenue management (RM) has become a common practice for the airline industry. However, unlike the air passenger operation supported by well-developed RM systems with advanced decision models, the decision process in selling air cargo space to freight forwarders is usually based on experience, without much support from optimization techniques. This study first formulates a multi-dimensional dynamic programming (DP) model to present a network RM problem for air cargo. In order to overcome the computational challenge, this study develops two linear programming (LP) based models to provide the decision support operationally suitable for airlines. In addition, this study further introduces a dynamic adjustment factor to alleviate the inaccuracy problem of the static LP models in estimating resource opportunity cost. Finally, a numerical experiment is performed to validate the applicability of the developed model and solution algorithm to the real-world problems. (C) 2015 The Authors. Published by Elsevier B.V.
URI: http://dx.doi.org/10.1016/j.trpro.2015.06.024
http://hdl.handle.net/11536/150654
ISSN: 2352-1465
DOI: 10.1016/j.trpro.2015.06.024
期刊: 21ST INTERNATIONAL SYMPOSIUM ON TRANSPORTATION AND TRAFFIC THEORY
Volume: 7
起始頁: 459
結束頁: 473
Appears in Collections:Conferences Paper


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