Optimizing food logistics through a stochastic inventory routing problem under energy, waste and workforce concerns

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dc.authoridCimen, Mustafa/0000-0001-8155-9145
dc.authoridSOYSAL, MEHMET/0000-0002-1570-660X
dc.contributor.authorKoseli, Ilker
dc.contributor.authorSoysal, Mehmet
dc.contributor.authorcimen, Mustafa
dc.contributor.authorSel, Cagri
dc.date.accessioned2024-09-29T15:57:30Z
dc.date.available2024-09-29T15:57:30Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe trend towards sustainable operations management makes it inevitable for companies to carry out their operations by considering environmental and social externalities. This tendency has implications also in the food logistics industry. This study addresses a single-period closed Inventory Routing Problem under environmental and social sustainability concerns in daily food logistics systems. In particular, the study focuses on reducing CO2 emissions in a refrigerated transportation system, collecting and disposing of waste, and offering employees more enticing work schedules, that have not been simultaneously addressed in the literature. The problem has been mathematically defined as a Mixed Integer Linear Programming model. A solution approach based on a clustering algorithm has been proposed to solve large-sized cases. The applicability of the proposed decision support models and the potential practical benefits obtained from their use are shown by performing numerical analyses on an industrial case and a set of larger instances. The results show that simultaneously respecting workforce constraints, waste collection/disposal, and demand uncertainty provide improved economic, environmental and social outputs for food logistics companies. Due to workforce constraints, the delivery time is shortened by 5.5 h, which allow the manufacturing to start later. Respecting waste collection and disposal as well as demand uncertainty enables cost reductions of %40.9 and %6, respectively.en_US
dc.identifier.doi10.1016/j.jclepro.2023.136094
dc.identifier.issn0959-6526
dc.identifier.issn1879-1786
dc.identifier.scopus2-s2.0-85146617515en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.jclepro.2023.136094
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4838
dc.identifier.volume389en_US
dc.identifier.wosWOS:000925672600001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofJournal of Cleaner Productionen_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.subjectInventory routing problemen_US
dc.subjectSustainabilityen_US
dc.subjectRefrigerated transportationen_US
dc.subjectMILP-based heuristicen_US
dc.titleOptimizing food logistics through a stochastic inventory routing problem under energy, waste and workforce concernsen_US
dc.typeArticleen_US

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