A robust optimization model to design an IoT-based sustainable supply chain network with flexibility

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dc.authoridTirkolaee, Erfan Babaee/0000-0003-1664-9210
dc.authoridAli, Sadia Samar/0000-0003-4911-5725
dc.authoridGoli, Alireza/0000-0001-9535-9902
dc.authorwosidTirkolaee, Erfan Babaee/U-3676-2017
dc.authorwosidAli, Sadia Samar/B-6171-2019
dc.contributor.authorGoli, Alireza
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorGolmohammadi, Amir-Mohammad
dc.contributor.authorAtan, Zumbul
dc.contributor.authorWeber, Gerhard-Wilhelm
dc.contributor.authorAli, Sadia Samar
dc.date.accessioned2024-05-19T14:46:54Z
dc.date.available2024-05-19T14:46:54Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractSupply chain network design is one of the most important issues in today's competitive environment. Moreover, the ratio of transportation costs to the income of manufacturing companies has increased significantly. In this regard, strategic decisions, as well as tactical decisions making, are of concern for supply chain network design. In this research, a flexible, sustainable, multi-product, multi-period, and Internet-of-Things (IoT)-based supply chain network with an integrated forward/reverse logistics system is configured where the actors are suppliers, producers, distribution centers, first- and second-stage customers, repair/disassembly centers, recycling centers, and disposal centers. In order to create flexibility in this supply chain, it is possible to dispatch directly to customers from distribution centers or manufacturing plants. For direct shipping, the application IoT system is taken into account in the transportation system to make them able to manage direct and indirect delivery at the same time. The options and considerations are then incorporated into a Multi-Objective Mixed-Integer Linear Programming model to formulate the problem which is then converted into a single-objective model using Goal Programming (GP) method. Moreover, in order to deal with uncertainty in the demand parameter, robust optimization approach is applied. The obtained results from a numerical example reveal that the proposed model is able to optimally design the supply chain network whose robustness is highly dependent on the budgets of uncertainty whereas up to 213.528% increase in the GP objective function is observed.en_US
dc.identifier.doi10.1007/s10100-023-00870-4
dc.identifier.issn1435-246X
dc.identifier.issn1613-9178
dc.identifier.scopus2-s2.0-85164004385en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.urihttps://doi.org10.1007/s10100-023-00870-4
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5616
dc.identifier.wosWOS:001022605400001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofCentral European Journal of Operations Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectSustainable Supply Chainen_US
dc.subjectIntegrated Forwarden_US
dc.subjectReverse Logisticsen_US
dc.subjectInternet-Of-Thingen_US
dc.subjectFlexibilityen_US
dc.subjectRobust Optimizationen_US
dc.titleA robust optimization model to design an IoT-based sustainable supply chain network with flexibilityen_US
dc.typeArticleen_US

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