Publication:
Inbound logistics optimization for fresh oranges with waste management

dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.departmentDepartment of Industrial Engineering
dc.contributor.kuauthorAnwar, Kiran
dc.contributor.kuauthorTürkay, Metin
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2025-05-22T10:32:59Z
dc.date.available2025-05-22
dc.date.issued2025
dc.description.abstractTypical fruit supply chains include several echelons such as farms, primary fruits-processing-facilities to produce main products, secondary fruits-processing-facilities to produce by-products, distribution centers, retailers, and consumers. This paper focuses on the inbound logistics operations that cover the logistics planning for transporting the fruits collected at the farms to the primary fruit processing facilities. Fruit supply chains are considered difficult to manage due the perishable nature of fruits and time constraints to avoid contamination and wastage. The objective of this research is to optimize inbound logistics in fruit supply chains by developing an optimization model that minimizes fruit losses during transportation and identifies optimal waste management practices. This approach not only reduces waste but also lowers greenhouse gas (GHG) emissions associated with fruit wastage. A bi-objective optimization model for the inbound logistics of fresh fruits is presented; the first objective is to minimize the total cost considering the environmental sustainability factors and the second objective is to minimize the carbon footprint and GHG emissions. Fresh fruit losses and wastage caused by changes in temperature, shelf life, and total time spent on transportation during inbound logistics is quantified. The model is applied to original data of fresh Valencia oranges harvested from farms in Egypt and computational results indicate that the fruit loss per month is decreased from 29% to less than 2% during the inbound logistics operations. Three methods are used to solve the bi-objective optimization problem, and the results are compared.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipPartnership for Research and Innovation in the Mediterranean Area, PRIMA; TÜBITAK Akdeniz Narenciye Urunleri Tedarik Zincirinde Inovasyon, (121N260)
dc.identifier.doi10.1016/j.jfoodeng.2024.112411
dc.identifier.embargoNo
dc.identifier.issn0260-8774
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85211209280
dc.identifier.urihttps://doi.org/10.1016/j.jfoodeng.2024.112411
dc.identifier.urihttps://hdl.handle.net/20.500.14288/29220
dc.identifier.volume391
dc.identifier.wos001383329200001
dc.keywordsBi-objective optimization model
dc.keywordsFresh fruit waste management
dc.keywordsLogistics planning
dc.keywordsMixed-integer linear programming
dc.keywordsPareto optimal solutions
dc.language.isoeng
dc.publisherElsevier
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofJournal of Food Engineering
dc.subjectEngineering, chemical
dc.subjectFood science and technology
dc.titleInbound logistics optimization for fresh oranges with waste management
dc.typeJournal Article
dspace.entity.typePublication
person.familyNameAnwar
person.familyNameTürkay
person.givenNameKiran
person.givenNameMetin
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