Robust uncapacitated hub location

被引:75
|
作者
Zetina, Carlos Armando [1 ,2 ]
Contreras, Ivan [1 ,2 ]
Cordeau, Jean-Francois [2 ,3 ]
Nikbakhsh, Ehsan [4 ]
机构
[1] Concordia Univ, Montreal, PQ H3G 1M8, Canada
[2] Interuniv Res Ctr Enterprise Networks Logist & Tr, Montreal, PQ, Canada
[3] HEC Montreal, Montreal, PQ, Canada
[4] Tarbiat Modares Univ, Dept Ind Engn, Tehran, Iran
基金
加拿大自然科学与工程研究理事会; 加拿大创新基金会;
关键词
Hub location; Robust discrete optimization; Budget of uncertainty; UNIT COMMITMENT PROBLEM; NETWORK DESIGN; OPTIMIZATION PROBLEMS; SPOKE NETWORKS; UNCERTAINTY; SINGLE; FORMULATIONS; CONSTRAINTS; CONGESTION; ALGORITHMS;
D O I
10.1016/j.trb.2017.06.008
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this paper we present robust counterparts for uncapacitated hub location problems in which the level of conservatism can be controlled by means of a budget of uncertainty. We study three particular cases for which the parameters are subject to interval uncertainty: demand, transportation cost, and both simultaneously. We present mixed integer programming formulations for each of these cases and a branch-and-cut algorithm to solve the latter. We present computational results to evaluate the performance of the proposed formulations when solved with a general purpose solver and study the structure of the solutions to each of the robust counterparts. We also compare the performance between solutions obtained from a commensurable stochastic model and those from our robust counterparts in both risk neutral and worst-case settings. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:393 / 410
页数:18
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