A sustainable-circular citrus closed-loop supply chain configuration: pareto-based algorithms

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dc.authoridErfan Babaee Tirkolaee / 0000-0003-1664-9210en_US
dc.authorscopusidErfan Babaee Tirkolaee / 57196032874en_US
dc.authorwosidErfan Babaee Tirkolaee / U-3676-2017en_US
dc.contributor.authorGoodarzian,Fariba
dc.contributor.authorGhasemi,Peiman
dc.contributor.authorGonzalez,Ernesto DR. Santibanez
dc.contributor.authorTirkolaee, Erfan Babaee
dc.date.accessioned2022-12-30T08:32:32Z
dc.date.available2022-12-30T08:32:32Z
dc.date.issued2023en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractConfiguration of sustainable supply chains for agricultural products has been a well-known research field recently which is continuing to evolve and grow. It is a complex network design problem, and despite the abundant literature in the field, there are still few models offered to integrate social impacts and environmental effects to support network design decision-making to support the configuration of the citrus supply chain. In this work, the citrus supply chain design problem is investigated by integrating the production, distribution, inventory control, recycling and locational decisions in which the triple bottom lines of sustainability, as well as circularity strategy, are addressed. Accordingly, a novel multi-objective Mixed-Integer Linear Programming (MILP) model is proposed to formulate a multi-period multi-echelon problem to design the sustainable citrus Closed-Loop Supply Chain (CLSC) network. To solve the developed model, the ?-constraint approach is employed in small-sized problems. Furthermore, Strength Pareto Evolutionary Algorithm II (SPEA-II) and Pareto Envelope-based Selection Algorithm II (PESA-II) algorithms are used in medium- and large-sized problems. Taguchi design technique is then utilized to adjust the parameters of the algorithms efficiently. Three well-known assessment metrics and convergence analysis are regarded to test the efficiency of the suggested algorithms. The numerical results demonstrate that the SPEA-II algorithm has a superior efficiency over PESA-II. Moreover, to validate the applicability of the developed methodology, a real case study in Mazandaran/Iran is investigated with the help of a set of sensitivity analyses.en_US
dc.identifier.citationGoodarzian, F., Ghasemi, P., Santibanez Gonzalez, E. D., & Tirkolaee, E. B. (2022). A sustainable-circular citrus closed-loop supply chain configuration: Pareto-based algorithms. Journal of environmental management, 328, 116892. Advance online publication. https://doi.org/10.1016/j.jenvman.2022.116892en_US
dc.identifier.doi10.1016/j.jenvman.2022.116892en_US
dc.identifier.pmid36533275en_US
dc.identifier.scopus2-s2.0-85144317314en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.jenvman.2022.116892
dc.identifier.urihttps://hdl.handle.net/20.500.12713/3789
dc.identifier.volume328en_US
dc.identifier.wosWOS:000906526200001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorTirkolaee, Erfan Babaee
dc.language.isoenen_US
dc.publisherELSEVIERen_US
dc.relation.ispartofJournal of Environmental Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCircularity; Citrus Supply Chain; Closed-Loop Supply Chain Network; Meta-Heuristic Algorithms; Mixed-İnteger Linear Programming; Sustainabilityen_US
dc.subjectCircularityen_US
dc.subjectCitrus Supply Chainen_US
dc.subjectClosed-Loop Supply Chain Networken_US
dc.subjectMeta-Heuristic Algorithmsen_US
dc.subjectMixed-İnteger Linear Programmingen_US
dc.subjectSustainabilityen_US
dc.titleA sustainable-circular citrus closed-loop supply chain configuration: pareto-based algorithmsen_US
dc.typeArticleen_US

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