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Article: Multi-depot vehicle routing problem for hazardous materials transportation: A fuzzy bilevel programming

TitleMulti-depot vehicle routing problem for hazardous materials transportation: A fuzzy bilevel programming
Authors
KeywordsFuzzy bilevel programming
Hazardous material
Heuristic algorithm
Vehicle routing problem
Issue Date2017
Citation
Information Sciences, 2017, v. 399, p. 201-218 How to Cite?
AbstractDue to enormous demand and potential threat to public, hazardous materials transportation has been tremendously investigated in recent years. However, there are few studies focusing on multi-depot vehicle routing problem for hazardous materials transportation. In this study, we develop a fuzzy bilevel programming model for minimizing the total expected transportation risk when delivering products of hazardous materials to customers from multiple depots. The upper level formulation allocates customers to depots under the constraints of depot capacities and customer demands, while the lower level determines the optimal path for each group of depots and customers. For obtaining the optimal solution to the proposed model, four fuzzy simulation-based heuristic algorithms are designed. Illustrative examples demonstrate the effectiveness of the proposed model and the four heuristics.
Persistent Identifierhttp://hdl.handle.net/10722/336717
ISSN
2022 Impact Factor: 8.1
2020 SCImago Journal Rankings: 1.524
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorDu, Jiaoman-
dc.contributor.authorLi, Xiang-
dc.contributor.authorYu, Lean-
dc.contributor.authorDan, Ralescu-
dc.contributor.authorZhou, Jiandong-
dc.date.accessioned2024-02-29T06:56:02Z-
dc.date.available2024-02-29T06:56:02Z-
dc.date.issued2017-
dc.identifier.citationInformation Sciences, 2017, v. 399, p. 201-218-
dc.identifier.issn0020-0255-
dc.identifier.urihttp://hdl.handle.net/10722/336717-
dc.description.abstractDue to enormous demand and potential threat to public, hazardous materials transportation has been tremendously investigated in recent years. However, there are few studies focusing on multi-depot vehicle routing problem for hazardous materials transportation. In this study, we develop a fuzzy bilevel programming model for minimizing the total expected transportation risk when delivering products of hazardous materials to customers from multiple depots. The upper level formulation allocates customers to depots under the constraints of depot capacities and customer demands, while the lower level determines the optimal path for each group of depots and customers. For obtaining the optimal solution to the proposed model, four fuzzy simulation-based heuristic algorithms are designed. Illustrative examples demonstrate the effectiveness of the proposed model and the four heuristics.-
dc.languageeng-
dc.relation.ispartofInformation Sciences-
dc.subjectFuzzy bilevel programming-
dc.subjectHazardous material-
dc.subjectHeuristic algorithm-
dc.subjectVehicle routing problem-
dc.titleMulti-depot vehicle routing problem for hazardous materials transportation: A fuzzy bilevel programming-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.ins.2017.02.011-
dc.identifier.scopuseid_2-s2.0-85015627479-
dc.identifier.volume399-
dc.identifier.spage201-
dc.identifier.epage218-
dc.identifier.isiWOS:000400203900011-

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