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dc.contributor.authorGhaffarinasab, N.en_US
dc.contributor.authorMotallebzadeh, A.en_US
dc.contributor.authorJabarzadeh, Y.en_US
dc.contributor.authorKara, B. Y.en_US
dc.date.accessioned2019-02-21T16:01:28Z
dc.date.available2019-02-21T16:01:28Z
dc.date.issued2018
dc.identifier.issn0305-0548
dc.identifier.urihttp://hdl.handle.net/11693/49852
dc.description.abstractHub location problems (HLPs) constitute an important class of problems in logistics with numerous applications in passenger/cargo transportation, postal services, telecommunications, etc. This paper addresses the competitive single and multiple allocation HLPs where the market is assumed to be a duopoly. Two firms (decision makers) sequentially decide on the configuration of their hub networks trying to maximize their own market shares. The customers choose one firm based on the cost of service provided by these firms. Mathematical formulations are presented for the problems of the first and second firms (the leader and the follower, respectively) and Simulated Annealing (SA) based solution algorithms are proposed for solving these problems both in single and multiple allocation settings. Extensive computational experiments show the capability of the proposed solution algorithms to obtain the optimal solutions in short computational times. Some managerial insights are also derived based on the obtained results.
dc.language.isoEnglish
dc.source.titleComputers and Operations Research
dc.relation.isversionofhttps://doi.org/10.1016/j.cor.2017.09.022
dc.subjectHub locationen_US
dc.subjectMarket competitionen_US
dc.subjectMathematical formulationen_US
dc.subjectSimulated annealingen_US
dc.titleEfficient simulated annealing based solution approaches to the competitive single and multiple allocation hub location problemsen_US
dc.typeArticleen_US
dc.departmentDepartment of Industrial Engineering
dc.citation.spage173en_US
dc.citation.epage192en_US
dc.citation.volumeNumber90en_US
dc.identifier.doi10.1016/j.cor.2017.09.022
dc.publisherElsevier
dc.embargo.release2021-02-01en_US


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