Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics

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dc.contributor.authorKazançoğlu, Yiğit
dc.contributor.authorEkinci, Esra
dc.contributor.authorMangla, Sachin Kumar
dc.contributor.authorSezer, Mürüvvet Deniz
dc.contributor.authorKayıkcı, Yaşanur
dc.date.accessioned2021-01-08T21:51:20Z
dc.date.available2021-01-08T21:51:20Z
dc.date.issued2020
dc.departmentTAÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.descriptionKayikci, Yasanur/0000-0003-2406-3164; Sezer, Deniz/0000-0002-4630-2464; EKINCI, ESRA/0000-0003-2609-7763; KUMAR MANGLA, SACHIN/0000-0001-7166-5315; Kazancoglu, Yigit/0000-0001-9199-671Xen_US
dc.descriptionWOS:000557966900001en_US
dc.description.abstractSupply chains are composed of multiple stakeholders who have complex interrelationships. In addition, the forward and reverse flow of materials, information, human resources, and finance occurs among different stakeholders in closing the loop of supply chains. Reverse logistics (RL) activities are gaining importance in terms of size and quantity due to both economic and environmental concerns. These flows in RL in supply chains are both dynamic and complex in nature. Further, the environmental impact of RL activities has barely been considered in holistic way in available literature. In this study, a system dynamics model has been developed to analyze and comprehend the green performance of RL activities by predicting the environmental impact of RL activities. The proposed model has been validated by a case study in the context of a food supply chain. In the company where the case study is carried out, the environmental effects of RL activities have been analyzed. These activities in a food supply chain in terms of CO2(carbon dioxide), NOx(nitrogen oxide), SO2(sulfur dioxide), and PM (particulate matter) emissions have been predicted through a system dynamics model for the years 2020 to 2024. The proposed methodology is applied in a food supply context, a major player in retail business, especially in emerging economies. According to our findings, the RL activities in a food supply chain can significantly contribute to green performance management by minimizing food waste and loss; hence, the environmental impacts of such activities should be closely examined from a managerial perspective.
dc.description.sponsorshipBritish Council, UK
dc.description.sponsorshipBritish Council, UK
dc.identifier.doi10.1002/bse.2610
dc.identifier.issn0964-4733
dc.identifier.issn1099-0836
dc.identifier.scopus2-s2.0-85088926544
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://doi.org/10.1002/bse.2610
dc.identifier.urihttps://hdl.handle.net/20.500.12846/138
dc.identifier.wosWOS:000557966900001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKayıkcı, Yaşanur
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofBusiness Strategy And The Environment
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCircular Economyen_US
dc.subjectFood Supply Chainen_US
dc.subjectGreen Business Performance And Environmental Impacten_US
dc.subjectReverse Logisticsen_US
dc.subjectSystem Dynamicsen_US
dc.titlePerformance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics
dc.typeArticle

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