A novel two-echelon hierarchical location-allocation-routing optimization for green energy-efficient logistics systems

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dc.authoridErfan Babaee Tirkolaee / 0000-0003-1664-9210en_US
dc.authorscopusidErfan Babaee Tirkolaee / 57196032874en_US
dc.authorwosidErfan Babaee Tirkolaee / U-3676-2017
dc.contributor.authorBabaee Tirkolaee, Erfan
dc.contributor.authorGoli, Alireza
dc.contributor.authorMardani, Abbas
dc.date.accessioned2021-11-29T05:37:13Z
dc.date.available2021-11-29T05:37:13Z
dc.date.issued2021en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractThe present paper addresses a novel two-echelon multi-product Location-Allocation-Routing problem (LARP). It also considers the integration of issues such as disruption, environmental pollution, and energy-efficient vehicles as currently critical issues in a Supply Chain Network (SCN) that includes production plants, central warehouses, and retailers. The aim of this study is to minimize the total cost, which involves costs related to the establishment, shipment processes, environmental pollution, travelling, vehicle usage, and fuel consumption, in a way to cover the total demand of retailers. The problem is NP-hard; thus, to solve it approximately, we developed Grey Wolf Optimization (GWO) and Particle Swarm Optimization (PSO) algorithms. The numerical analysis showed that the proposed algorithms yielded high-quality results in a short computational time where the average gaps of GWO and PSO against CPLEX are 0.78% and 0.9%, respectively. Then, a case study of a dairy factory in Iran is conducted to evaluate the applicability of the proposed methodology and find the optimal policy. Finally, a set of sensitivity analyses is carried out to suggest managerial insights and decision aids.en_US
dc.identifier.citationTirkolaee, E. B., Goli, A., & Mardani, A. (2021). A novel two-echelon hierarchical location-allocation-routing optimization for green energy-efficient logistics systems. Annals of Operations Research, 1-29.en_US
dc.identifier.doi10.1007/s10479-021-04363-yen_US
dc.identifier.issn0254-5330en_US
dc.identifier.scopus2-s2.0-85119326153en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1007/s10479-021-04363-y
dc.identifier.urihttps://hdl.handle.net/20.500.12713/2283
dc.identifier.wosWOS:000720710800001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTirkolaee, Erfan Babaee
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofAnnals of Operations Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEnvironmental Pollutionen_US
dc.subjectFuel Consumptionen_US
dc.subjectGrey Wolf Optimizationen_US
dc.subjectParticle Swarm Optimizationen_US
dc.subjectTwo-echelon Hierarchical Location-Allocation-Routingen_US
dc.titleA novel two-echelon hierarchical location-allocation-routing optimization for green energy-efficient logistics systemsen_US
dc.typeArticleen_US

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