Planning sustainable routes: Economic, environmental and welfare concerns

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buir.contributor.authorKarsu, Özlem
buir.contributor.authorKara, Bahar Y.
buir.contributor.orcidKarsu, Özlem|0000-0002-9926-2021
buir.contributor.orcidKara, Bahar Y.|0000-0001-8674-1165
dc.citation.epage14en_US
dc.citation.issueNumber2en_US
dc.citation.spage1en_US
dc.citation.volumeNumber299en_US
dc.contributor.authorDükkancı, O.
dc.contributor.authorKarsu, Özlem
dc.contributor.authorKara, Bahar Y.
dc.date.accessioned2022-02-10T10:54:20Z
dc.date.available2022-02-10T10:54:20Z
dc.date.issued2021-10-09
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractWe introduce a problem called the Sustainable Vehicle Routing Problem (SVRP) in which the sustainability notion is considered in terms of economic, environmental and social impacts. Inspired by real-world problems that large cargo companies face for their delivery decisions, we introduce a new facet to the classical vehicle routing problem by considering the welfare of all three stakeholders of the problem: an environmentally conscious company, the drivers, and the indistinguishable customers, as our setting assumes that all customers belong to the same delivery class. Thus, the proposed problem consists of three objective functions. The first one is to minimize the total fuel consumption and emission to represent the companies’ main economic and environmental concerns. The second one is to maximize total welfare of the drivers through a function that encourages equitable payment across drivers while encouraging low total driver cost and the third one is to maximize total welfare of the customers through a function that encourages fairness in terms of delivery times. The last two objectives are measured using slots for tour lengths and delivery times. We implement an efficient solution approach based on the -constraint scalarization to find the nondominated solutions of our triobjective optimization problem and present computational analysis that provide insights on the trade-off between the objectives. Our experiments demonstrate the potential of the suggested framework under the customer anonymity assumption to help decision makers make effective plans that all parties involved would give consent to.en_US
dc.description.provenanceSubmitted by Samet Emre (samet.emre@bilkent.edu.tr) on 2022-02-10T10:54:20Z No. of bitstreams: 1 Planning_sustainable_routes_Economic,_environmental_and_welfare_concerns.pdf: 2626106 bytes, checksum: 6c60998f026d304996f7193f6393433d (MD5)en
dc.description.provenanceMade available in DSpace on 2022-02-10T10:54:20Z (GMT). No. of bitstreams: 1 Planning_sustainable_routes_Economic,_environmental_and_welfare_concerns.pdf: 2626106 bytes, checksum: 6c60998f026d304996f7193f6393433d (MD5) Previous issue date: 2021-10-09en
dc.embargo.release2023-10-09
dc.identifier.doi10.1016/j.ejor.2021.09.036en_US
dc.identifier.eissn1872-6860
dc.identifier.issn0377-2217
dc.identifier.urihttp://hdl.handle.net/11693/77219
dc.language.isoEnglishen_US
dc.publisherElsevier BVen_US
dc.relation.isversionofhttps://doi.org/10.1016/j.ejor.2021.09.036en_US
dc.source.titleEuropean Journal of Operational Researchen_US
dc.subjectRoutingen_US
dc.subjectSustainabilityen_US
dc.subjectMulti-objective optimizationen_US
dc.subjectFuel consumptionen_US
dc.subjectCustomer and driver welfareen_US
dc.titlePlanning sustainable routes: Economic, environmental and welfare concernsen_US
dc.title.alternativeEconomic, environmental and welfare concernsen_US
dc.typeArticleen_US

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