A Combined Average-Case and Worst-Case Analysis for an Integrated Hub Location and Revenue Management Problem

This paper investigates joint decisions on airline network design and capacity allocation by integrating an uncapacitated single allocation p-hub median location problem into a revenue management problem. For the situation in which uncertain demand can be captured by a finite set of scenarios, we ex...

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Main Authors: Jia-Zhen Huo, Yan-Ting Hou, Feng Chu, Jun-Kai He
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2019/8651728
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author Jia-Zhen Huo
Yan-Ting Hou
Feng Chu
Jun-Kai He
author_facet Jia-Zhen Huo
Yan-Ting Hou
Feng Chu
Jun-Kai He
author_sort Jia-Zhen Huo
collection DOAJ
description This paper investigates joint decisions on airline network design and capacity allocation by integrating an uncapacitated single allocation p-hub median location problem into a revenue management problem. For the situation in which uncertain demand can be captured by a finite set of scenarios, we extend this integrated problem with average profit maximization to a combined average-case and worst-case analysis of this integration. We formulate this problem as a two-stage stochastic programming framework to maximize the profit, including the cost of installing the hubs and a weighted sum of average and worst case transportation cost and the revenue from tickets over all scenarios. This model can give flexible decisions by putting the emphasis on the importance of average and worst case profits. To solve this problem, a genetic algorithm is applied. Computational results demonstrate the outperformance of the proposed formulation.
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institution Kabale University
issn 1026-0226
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language English
publishDate 2019-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-6818418624984f5d8d79f0d00f50d4962025-02-03T05:53:12ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2019-01-01201910.1155/2019/86517288651728A Combined Average-Case and Worst-Case Analysis for an Integrated Hub Location and Revenue Management ProblemJia-Zhen Huo0Yan-Ting Hou1Feng Chu2Jun-Kai He3School of Economics and Management, Tongji University, Shanghai 200092, ChinaSchool of Economics and Management, Tongji University, Shanghai 200092, ChinaLaboratory IBISC, Univ Evry, Université Paris-Saclay, Evry 91025, FranceLaboratory IBISC, Univ Evry, Université Paris-Saclay, Evry 91025, FranceThis paper investigates joint decisions on airline network design and capacity allocation by integrating an uncapacitated single allocation p-hub median location problem into a revenue management problem. For the situation in which uncertain demand can be captured by a finite set of scenarios, we extend this integrated problem with average profit maximization to a combined average-case and worst-case analysis of this integration. We formulate this problem as a two-stage stochastic programming framework to maximize the profit, including the cost of installing the hubs and a weighted sum of average and worst case transportation cost and the revenue from tickets over all scenarios. This model can give flexible decisions by putting the emphasis on the importance of average and worst case profits. To solve this problem, a genetic algorithm is applied. Computational results demonstrate the outperformance of the proposed formulation.http://dx.doi.org/10.1155/2019/8651728
spellingShingle Jia-Zhen Huo
Yan-Ting Hou
Feng Chu
Jun-Kai He
A Combined Average-Case and Worst-Case Analysis for an Integrated Hub Location and Revenue Management Problem
Discrete Dynamics in Nature and Society
title A Combined Average-Case and Worst-Case Analysis for an Integrated Hub Location and Revenue Management Problem
title_full A Combined Average-Case and Worst-Case Analysis for an Integrated Hub Location and Revenue Management Problem
title_fullStr A Combined Average-Case and Worst-Case Analysis for an Integrated Hub Location and Revenue Management Problem
title_full_unstemmed A Combined Average-Case and Worst-Case Analysis for an Integrated Hub Location and Revenue Management Problem
title_short A Combined Average-Case and Worst-Case Analysis for an Integrated Hub Location and Revenue Management Problem
title_sort combined average case and worst case analysis for an integrated hub location and revenue management problem
url http://dx.doi.org/10.1155/2019/8651728
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