Modelling of WEEE recycling operation planning under uncertainty

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dc.authorid0000-0003-2642-0233
dc.authorscopusid54411047300
dc.authorscopusid56524647100
dc.authorscopusid56273495000
dc.authorwosidPolat, Olcay/K-2012-2012
dc.authorwosidCapraz, Ozan/ABA-3527-2020
dc.contributor.authorPolat, Olcay
dc.contributor.authorÇapraz, Ozan
dc.contributor.authorGüngör, Aşkıner
dc.date.accessioned2022-05-11T14:26:33Z
dc.date.available2022-05-11T14:26:33Z
dc.date.issued2018
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractRecycling is very important especially for hazardous materials considering their negative impacts on the environment. Waste electrical and electronic equipment (WEEE) is generally classified under hazardous waste. Determination of process methods and quantities of WEEE to be processed is significantly important since it enables the efficient operation and management of recycling systems. The presence of uncertainty in these systems requires to develop appropriate decision-making tools to deal with uncertain parameters in recycling-operation planning problems. In this study, we propose a linear programming (LP) model for multi-period operation planning for recycling of WEEE considering fuzzy parameters: demand, quantity of WEEE to be processed, operational capacity of resources, amount of output obtained from WEEE and processing times. The model aims to maximize the total profit by determining the best recycling strategies and types, quantity and stocks of WEEE to be recycled during the planning term. The solution method is based on ranking methods of fuzzy numbers through the comparison of their expected intervals. The proposed LP model is illustrated using a case study with experimental analysis. The findings indicated that the nature of fuzzy parameters have critical effect on the total cost and the total revenue at different levels. The results also show that the uncertainty in recycling of WEEE is a crucial factor in developing consistent plans to achieve the economic sustainability of recycling facilities. (C) 2018 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.jclepro.2018.01.187
dc.identifier.endpage779
dc.identifier.issn0959-6526
dc.identifier.issn1879-1786
dc.identifier.scopus2-s2.0-85042064159
dc.identifier.scopusqualityQ1
dc.identifier.startpage769
dc.identifier.urihttps://doi.org/10.1016/j.jclepro.2018.01.187
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6477
dc.identifier.volume180
dc.identifier.wosWOS:000427218700068
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorÇapraz, Ozan
dc.language.isoen
dc.publisherElsevier Sci Ltd
dc.relation.ispartofJournal of Cleaner Production
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectRecycling
dc.subjectOperation planning
dc.subjectFuzzy optimization
dc.subjectWEEE
dc.subjectRanking Fuzzy Numbers
dc.subjectLinear-Programming Model
dc.subjectDecision-Making
dc.subjectSet Theory
dc.subjectE-Waste
dc.subjectRisk
dc.subjectRecovery
dc.subjectPerspectives
dc.subjectMethodology
dc.subjectAcquisition
dc.titleModelling of WEEE recycling operation planning under uncertainty
dc.typeArticle

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