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Designing e‐commerce supply chains: a stochastic facility–location approach

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dc.contributor.author Pagès Bernaus, Adela
dc.contributor.author Ramalhinho-Lourenço, Helena
dc.contributor.author Juan, Angel A.
dc.contributor.author Calvet Mir, Laura
dc.date.accessioned 2020-05-04T08:55:53Z
dc.date.available 2020-05-04T08:55:53Z
dc.date.issued 2017
dc.identifier.citation Pagès Bernaus A, Ramalhinho H, Juan AA, Calvet L. Designing e-commerce supply chains: a stochastic facility-location approach. Int Trans Oper Res. 2017 July 7;26(2):507-28. DOI: 10.1111/itor.12433
dc.identifier.issn 1475-3995
dc.identifier.uri http://hdl.handle.net/10230/44394
dc.description.abstract E‐Commerce activity has been increasing during recent years, and this trend is expected to continue in the near future. e‐Commerce practices are subject to uncertainty conditions and high variability in customers’ demands. Considering these characteristics, we propose two facility–location models that represent alternative distribution policies in e‐commerce (one based on outsourcing and another based on in‐house distribution). These models take into account stochastic demands as well as more than one regular supplier per customer. Two methodologies are then introduced to solve these stochastic versions of the well‐known capacitated facility–location problem. The first is a two‐stage stochastic‐programming approach that uses an exact solver. However, we show that this approach is not appropriate for tackle large‐scale instances due to the computational effort required. Accordingly, we also introduce a “simheuristic” approach that is able to deal with large‐scale instances in short computing times. An extensive set of benchmark instances contribute to illustrate the efficiency of our approach, as well as its potential utility in modern e‐commerce practices.
dc.description.sponsorship This work has been partially supported by the Spanish Ministry of Economy and Competitiveness and FEDER (TRA2013-48180-C3-P, TRA2015-71883-REDT) and the Erasmus+ programme (2016-1-ES01-KA108-023465). We also thank the support of the UOC doctoral programme.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Wiley
dc.relation.ispartof International Transactions in Operational Research. 2017 July 7;26(2):507-28
dc.rights This is the peer reviewed version of the following article: Pagès Bernaus A, Ramalhinho H, Juan AA, Calvet L. Designing e-commerce supply chains: a stochastic facility-location approach. Int Trans Oper Res. 2017 July 7;26(2):507-28, which has been published in final form at http://dx.doi.org/10.1111/itor.12433. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
dc.title Designing e‐commerce supply chains: a stochastic facility–location approach
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1111/itor.12433
dc.subject.keyword E-commerce
dc.subject.keyword Supply chain management
dc.subject.keyword Capacitated facility location problem
dc.subject.keyword Stochastic combinatorial optimization
dc.subject.keyword Simheuristics
dc.subject.keyword Stochastic programming
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TRA2013-48180-C3-P
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TRA2015-71883-REDT
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

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