Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7539384 | Transportation Research Part B: Methodological | 2017 | 18 Pages |
Abstract
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.
Keywords
Related Topics
Social Sciences and Humanities
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Management Science and Operations Research
Authors
Carlos Armando Zetina, Ivan Contreras, Jean-François Cordeau, Ehsan Nikbakhsh,