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Risk-averse hub location: Formulation and solution approach

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dc.contributor.author Kargar, Kamyar
dc.contributor.author Mahmutoğulları, Ali İrfan
dc.date.accessioned 2022-04-21T06:49:12Z
dc.date.available 2022-04-21T06:49:12Z
dc.date.issued 2022-07
dc.identifier.issn 0305-0548
dc.identifier.uri http://hdl.handle.net/20.500.12485/948
dc.description.abstract In this study, we present risk-neutral and risk-averse two-stage stochastic formulations for the uncapacitated multiple allocation p-hub median problem and discuss the impact of risk-aversion on the optimal solution. Although stochastic models are useful to tackle the uncertainty in problem parameters, the solution of these models requires higher computational effort than their deterministic counterparts. Therefore, we present a scenario decomposition algorithm for the stochastic formulations. To evaluate the performance of the proposed solution algorithm, a set of computational experiments is conducted on real data sets. The results show that the proposed algorithm is very effective in finding optimal or near-optimal solutions in significantly shorter computation time than that of deterministic equivalent problems. © 2022 Elsevier Ltd en_US
dc.language.iso en en_US
dc.publisher Elsevier Ltd en_US
dc.subject Hub location en_US
dc.subject Risk-averse optimization en_US
dc.subject Scenario decomposition en_US
dc.subject Stochastic programming en_US
dc.title Risk-averse hub location: Formulation and solution approach en_US
dc.type Article en_US
dc.relation.journal Computers and Operations Research en_US
dc.identifier.volume 143 en_US


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