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dc.contributor.authorWichapa, Narong
dc.contributor.authorKhokhajaikiat, Porntep
dc.date.accessioned2017-12-04T11:54:27Z
dc.date.available2017-12-04T11:54:27Z
dc.date.issued2017-11
dc.identifier.citationWichapa, N.; Khokhajaikiat, P. Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposal. "Journal of Industrial Engineering and Management", Novembre 2017, vol. 10, núm. 5, p. 853-886.
dc.identifier.issn2013-0953
dc.identifier.urihttp://hdl.handle.net/2117/111532
dc.description.abstractPurpose: Disposal of infectious waste remains one of the most serious problems in the social and environmental domains of almost every nation. Selection of new suitable locations and finding the optimal set of transport routes to transport infectious waste, namely location routing problem for infectious waste disposal, is one of the major problems in hazardous waste management. Design/methodology/approach: Due to the complexity of this problem, location routing problem for a case study, forty hospitals and three candidate municipalities in sub-Northeastern Thailand, was divided into two phases. The first phase is to choose suitable municipalities using hybrid fuzzy goal programming model which hybridizes the fuzzy analytic hierarchy process and fuzzy goal programming. The second phase is to find the optimal routes for each selected municipality using hybrid genetic algorithm which hybridizes the genetic algorithm and local searches including 2-Opt-move, Insertion-move and ?-interchange-move. Findings: The results indicate that the hybrid fuzzy goal programming model can guide the selection of new suitable municipalities, and the hybrid genetic algorithm can provide the optimal routes for a fleet of vehicles effectively. Originality/value: The novelty of the proposed methodologies, hybrid fuzzy goal programming model, is the simultaneous combination of both intangible and tangible factors in order to choose new suitable locations, and the hybrid genetic algorithm can be used to determine the optimal routes which provide a minimum number of vehicles and minimum transportation cost under the actual situation, efficiently.
dc.format.extent34 p.
dc.language.isoeng
dc.publisherOmniaScience
dc.rightsAttribution-NonCommercial 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
dc.subject.lcshMultiple criteria decision making
dc.subject.lcshRefuse and refuse disposal
dc.subject.lcshInfectious wastes
dc.subject.otherMulti-objective facility location problem
dc.subject.otherFuzzy analytic hierarchy process
dc.subject.otherFuzzy goal programming model
dc.subject.otherHybrid genetic algorithm
dc.subject.otherInfectious waste disposal
dc.subject.otherMulti-criteria decision making
dc.subject.otherLocation routing problem
dc.titleUsing the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposal
dc.typeArticle
dc.subject.lemacDecisió multicriteri
dc.subject.lemacResidus -- Eliminació
dc.subject.lemacResidus infecciosos
dc.identifier.doi10.3926/jiem.2353
dc.identifier.dlB-28744-2008
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.citation.publicationNameJournal of Industrial Engineering and Management
local.citation.volume10
local.citation.number5
local.citation.startingPage853
local.citation.endingPage886


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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial 3.0 Spain