A Novel Multi-Objective Optimization Approach for Sustainable Supply Chain: A Case Study in Packaging Industry

dc.contributor.author Resat, H. Giray
dc.contributor.author Unsal, Berkcan
dc.date.accessioned 2023-06-16T14:11:38Z
dc.date.available 2023-06-16T14:11:38Z
dc.date.issued 2019
dc.description.abstract This study presents a novel two-stage hybrid solution method designed for sustainable supply chain systems and applied in packaging industry. The proposed solution algorithm includes two main stages; Analytic Hierarchy Process (AHP) method that is applied to select the most efficient suppliers by considering different performance indicators of company and a mixed-integer linear multi-objective mathematical model that is proposed to optimize the design of the sustainable supply chain in terms of total cost, time and social factors. Mathematical modelling approach and data analysis are presented to help decision makers. Minimization of cost, time; and maximization of sustainability by using augmented epsilon-constraint method are outlined by using proposed model. Pareto solution sets of the multi-objective mathematical programming problem are obtained by using GAMS language and environment. Sensitivity analyses are made to highlight the details of illustrative cases based on real-life data from packaging industry. (C) 2019 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved. en_US
dc.identifier.doi 10.1016/j.spc.2019.04.008
dc.identifier.issn 2352-5509
dc.identifier.scopus 2-s2.0-85066054616
dc.identifier.uri https://doi.org/10.1016/j.spc.2019.04.008
dc.identifier.uri https://hdl.handle.net/20.500.14365/1441
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Sustaınable Productıon And Consumptıon en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Sustainable supply chain en_US
dc.subject Multi-objective optimization en_US
dc.subject Mixed-integer linear programming en_US
dc.subject Analytic hierarchy process en_US
dc.subject Epsilon-Constraint Method en_US
dc.subject Decision-Making en_US
dc.subject Selection en_US
dc.subject Network en_US
dc.subject Design en_US
dc.title A Novel Multi-Objective Optimization Approach for Sustainable Supply Chain: A Case Study in Packaging Industry en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Resat, Hamdi/0000-0002-9235-3510
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gdc.author.wosid Resat, Hamdi/AAB-5868-2020
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gdc.description.department İzmir Ekonomi Üniversitesi en_US
gdc.description.departmenttemp [Resat, H. Giray] Izmir Univ Econ, Dept Ind Engn, TR-35330 Izmir, Turkey; [Unsal, Berkcan] Ball Corp, TR-45030 Manisa, Turkey en_US
gdc.description.endpage 39 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 29 en_US
gdc.description.volume 20 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W2943872044
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gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 48
gdc.plumx.crossrefcites 54
gdc.plumx.mendeley 111
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gdc.scopus.citedcount 59
gdc.virtual.author Reşat, Hamdi Giray
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