Rodyti trumpą aprašą

dc.contributor.authorKarande, Prasad
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorChakraborty, Shankar
dc.date.accessioned2023-09-18T16:29:11Z
dc.date.available2023-09-18T16:29:11Z
dc.date.issued2016
dc.identifier.issn1923-2926
dc.identifier.other(BIS)VGT02-000031713
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/114378
dc.description.abstractIn this paper, the ranking performance of six most popular and easily comprehensive multi- criteria decision-making (MCDM) methods, i.e. weighted sum method (WSM), weighted product method (WPM), weighted aggregated sum product assessment (WASPAS) method, multi-objective optimization on the basis of ratio analysis and reference point approach (MOORA) method, and multiplicative form of MOORA method (MULTIMOORA) is investigated using two real time industrial robot selection problems. Both single dimensional and high dimensional weight sensitivity analyses are performed to study the effects of weight variations of the most important as well as the most critical criterion on the ranking stability of all the six considered MCDM methods. The identifi ed local weight stability interval indicates the range of weights within which the rank of the best alternative remains unaltered, whereas, the global weight stability interval determines th e range of weights within which the overall rank order of all the alternatives remains unaffected. It is observed that for both the problems, multiplicative form of MOORA is the most robust method being least affected by the changing weights of the most important and the most critical criteria.eng
dc.formatPDF
dc.format.extentp. 399-422
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyProQuest Central
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyDOAJ
dc.source.urihttp://www.growingscience.com/ijiec/Vol7/IJIEC_2016_1.pdf
dc.subjectIK02 - Išmaniosios komunikacijų technologijos / Smart communication technologies
dc.titleA study on the ranking performance of some MCDM methods for industrial robot selection problems
dc.typeStraipsnis Scopus DB / Article in Scopus DB
dcterms.references53
dc.type.pubtypeS2 - Straipsnis Scopus DB / Scopus DB article
dc.contributor.institutionGovernment Polytechnic
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionJadavpur University
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enMCDM
dc.subject.enWSM
dc.subject.enWPM
dc.subject.enWASPAS
dc.subject.enMOORA
dc.subject.enReference point approach
dc.subject.enMULTIMOORA
dc.subject.enIndustrial robot selection
dc.subject.enRank
dc.subject.enSensitivity analysis
dcterms.sourcetitleInternational journal of industrial engineering computations
dc.description.issueno. 3
dc.description.volumeVol. 7
dc.publisher.nameGrowing Science Ltd
dc.publisher.cityNorth Vancouver BC, Canada
dc.identifier.doi10.5267/j.ijiec.2016.1.001
dc.identifier.elaba15297494


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