A fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industries

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dc.authoridErfan Babaee Tirkolaee / 0000-0003-1664-9210en_US
dc.authorscopusidErfan Babaee Tirkolaee / 57196032874en_US
dc.authorwosidErfan Babaee Tirkolaee / U-3676-2017
dc.contributor.authorAlinezhad, Masoud
dc.contributor.authorMahdavi, Iraj
dc.contributor.authorHematian, Milad
dc.contributor.authorTirkolaee, Erfan Babaee
dc.date.accessioned2021-10-25T14:18:50Z
dc.date.available2021-10-25T14:18:50Z
dc.date.issued2021en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractNowadays, the intensifcation of a competitive environment in markets in conjunction with sustainability issues has forced organizations to concentrate on designing sustainable closed-loop supply chains. In this study, a sustainable closed-loop supply chain network is confgured under uncertain conditions based on fuzzy theory. The proposed network is a multi-product multi-period problem which is formulated by a bi-objective mixed-integer linear programming model with fuzzy demand and return rate. The objectives are to max imize the supply chain proft and customer satisfaction at the same time. Moreover, the carbon footprint is included in the frst objective function in terms of cost (tax) to afect the total proft and treat the environmental aspect. Fuzzy linear programming and Lp metric method are then applied to deal with the uncertainty and bi-objectiveness of the model, respectively. In order to validate the methodology, a case study problem in the dairy industry is investigated where the proposed Lp-metric is also compared to goal attainment method. The obtained results demonstrate the superiority of Lp-metric against goal attain ment method as well as the applicability and efciency of the proposed methodology to treat a real case study problem. Furthermore, from the management perspective, outsourc ing the production during high-demand periods is highly recommended as an efcient solution.en_US
dc.identifier.citationNowadays, the intensification of a competitive environment in markets in conjunction with sustainability issues has forced organizations to concentrate on designing sustainable closed-loop supply chains. In this study, a sustainable closed-loop supply chain network is configured under uncertain conditions based on fuzzy theory. The proposed network is a multi-product multi-period problem which is formulated by a bi-objective mixed-integer linear programming model with fuzzy demand and return rate. The objectives are to maximize the supply chain profit and customer satisfaction at the same time. Moreover, the carbon footprint is included in the first objective function in terms of cost (tax) to affect the total profit and treat the environmental aspect. Fuzzy linear programming and Lp-metric method are then applied to deal with the uncertainty and bi-objectiveness of the model, respectively. In order to validate the methodology, a case study problem in the dairy industry is investigated where the proposed Lp-metric is also compared to goal attainment method. The obtained results demonstrate the superiority of Lp-metric against goal attainment method as well as the applicability and efficiency of the proposed methodology to treat a real case study problem. Furthermore, from the management perspective, outsourcing the production during high-demand periods is highly recommended as an efficient solution. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.en_US
dc.identifier.doi10.1007/s10668-021-01809-yen_US
dc.identifier.endpage28en_US
dc.identifier.issn1387-585Xen_US
dc.identifier.scopus2-s2.0-85117218635en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1007/s10668-021-01809-y
dc.identifier.urihttps://hdl.handle.net/20.500.12713/2177
dc.identifier.wosWOS:000708805100001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTirkolaee, Erfan Babaee
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofEnvironment, Development and Sustainabilityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClosed-loop Supply Chainen_US
dc.subjectSustainable Developmenten_US
dc.subjectFuzzy Linear Programmingen_US
dc.subjectCustomer Satisfactionen_US
dc.subject· Lp-metric Methoden_US
dc.subjectFood Industryen_US
dc.titleA fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industriesen_US
dc.typeArticleen_US

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