Integrated design of sustainable supply chain and transportation network using a fuzzy bi-level decision support system for perishable products

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dc.authoridErfan Babaee Trikolaee / 0000-0003-1664-9210en_US
dc.authoridNadi Serhan Aydın / 0000-0002-1453-0016en_US
dc.authorscopusidErfan Babaee Trikolaee / 57196032874en_US
dc.authorscopusidNadi Serhan Aydın / 55904216900en_US
dc.authorwosidNadi Serhan Aydın / X-8938-2018
dc.authorwosidErfan Babaee Trikolaee / U-3676-2017
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorAydın, Nadi Serhan
dc.date.accessioned2022-02-21T06:23:05Z
dc.date.available2022-02-21T06:23:05Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractThis study introduces a fuzzy bi-level Decision Support System (DSS) to optimize a sustainable multi-level multi-product Supply Chain (SC) and co-modal transportation network for perishable products distribution. To this end, two integrated multi-objective Mixed Integer Linear Programming (MILP) models are proposed to formulate the problem. On-time delivery is taken into account as the main factor that determines model performance due to perishability of products. Optimizing the design of SC network using the first level of the proposed DSS, the transportation network configuration is provided optimally in the second level considering different modes and options. In order to contribute to the literature, mainly by addressing uncertainty and perishability, a hybrid solution technique based on possibilistic linear programming and Fuzzy Weighted Goal Programming (FWGP) approach is developed to accommodate our suggested bi-level model. This technique can deal with problem uncertainty while also ensuring the sustainability of the overall system. Lp-metric method is implemented along with three well-known quality indicators to assess the performance of the proposed solution method and quality of obtained solutions. Finally, three illustrative numerical examples are provided using the CPLEX solver to showcase the applicability of the proposed methodology and discuss the complexity of the model. Results demonstrate the efficiency of the proposed methodology in finding optimal solutions compared to Lp-metric method, such that it is able to treat a problem with more than 2.2 million variables and 1.3 million constraints in 1093.08 s. © 2022 Elsevier Ltden_US
dc.identifier.citationTirkolaee, E. B., & Aydin, N. S. (2022). Integrated design of sustainable supply chain and transportation network using a fuzzy bi-level decision support system for perishable products. Expert Systems with Applications, 195 doi:10.1016/j.eswa.2022.116628en_US
dc.identifier.doi10.1016/j.eswa.2022.116628en_US
dc.identifier.issn0957-4174en_US
dc.identifier.scopus2-s2.0-85124568002en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2022.116628
dc.identifier.urihttps://hdl.handle.net/20.500.12713/2498
dc.identifier.volume195en_US
dc.identifier.wosWOS:000761952500005en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTirkolaee, Erfan Babaee
dc.institutionauthorAydın, Nadi Serhan
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofExpert Systems with Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBi-level Decision Support Systemen_US
dc.subjectFuzzy Weighted Goal Programmingen_US
dc.subjectQuality Indicatorsen_US
dc.subjectSustainable Supply Chainen_US
dc.subjectTransportation Networken_US
dc.titleIntegrated design of sustainable supply chain and transportation network using a fuzzy bi-level decision support system for perishable productsen_US
dc.typeArticleen_US

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