Designing a reliable-sustainable supply chain network: adaptive m-objective ?-constraint method

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dc.authoridSepehri, Arash/0000-0001-6623-5265
dc.contributor.authorSepehri, Arash
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorSimic, Vladimir
dc.contributor.authorAli, Sadia Samar
dc.date.accessioned2024-05-19T14:46:54Z
dc.date.available2024-05-19T14:46:54Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractIn the current era emphasizing sustainability and circularity, supply chain network design is a critical challenge for making reliable decisions. The optimization of facility location-allocation inventory problems (FLAIPs) holds the key to achieving dependable product delivery with reduced costs and carbon emissions. Despite the importance of these challenges, a substantial research gap exists regarding economic, reliability, and sustainability criteria for FLAIPs. This paper aims to fill this gap by introducing a multi-objective mixed-integer linear programming model, focusing on configuring a reliable sustainable supply chain network. The model addresses three key objectives: minimizing costs, minimizing emissions, and maximizing reliability. A notable contribution of this research lies in elaborating on five levels of a supply chain network catering to the delivery of multiple products across various periods. Another novelty is the simultaneous incorporation of economic, environmental, and reliability objectives in the network design-a facet rarely addressed in prior research. Results highlight that varying demand levels for each facility lead to altered trade-offs between objectives, empowering practitioners to make diverse decisions in facility location allocation. The proposed mathematical model undergoes validation through numerical examples and sensitivity analysis of parameters. The paper concludes by presenting theoretical and managerial implications, contributing valuable insights to the field of sustainable supply chains.en_US
dc.description.sponsorshipIstinye Universityen_US
dc.description.sponsorshipNo Statement Availableen_US
dc.identifier.doi10.1007/s10479-024-05961-2
dc.identifier.issn0254-5330
dc.identifier.issn1572-9338
dc.identifier.scopus2-s2.0-85191099869en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1007/s10479-024-05961-2
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5615
dc.identifier.wosWOS:001206252800003en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofAnnals of Operations Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectSustainable Supply Chainen_US
dc.subjectCarbon Emissionsen_US
dc.subjectFacility Locationen_US
dc.subjectReliable Supply Chainen_US
dc.subjectMulti-Objective Optimizationen_US
dc.titleDesigning a reliable-sustainable supply chain network: adaptive m-objective ?-constraint methoden_US
dc.typeArticleen_US

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