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dc.contributor.authorStanujkic, Dragisa
dc.contributor.authorKarabasevic, Darjan
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.date.accessioned2023-09-18T16:33:19Z
dc.date.available2023-09-18T16:33:19Z
dc.date.issued2015
dc.identifier.issn1392-2785
dc.identifier.other(BIS)VGT02-000031378
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/114835
dc.description.abstractWell-designed packaging is intended to present a product in the best possible way, which would have a significant impact on sales improvement. Creating and finding the ideal design solution for packaging is an extremely complex process. Many characteristics of a packaging design can affect the level of customer satisfaction, where the different characteristics of the packaging tend to have a different significance. To make the problem more complex, the significance of characteristics of a packaging design is not the same for all customers. Therefore, creating and finding the ideal design solution for packaging often involves an evaluation of a number of variants, typically evaluated on the basis of multiple criteria, often with different significance. To provide an efficient approach for the selection of appropriate packaging, a framework for selecting the appropriate packaging design which meets customer preferences, based on the SWARA method and group decision making, is proposed. The usability and efficiency of the proposed framework is considered in the case of the selecting the appropriate packaging design for the wine of the autochthonous grape variety called Black Tamjanika. On the basis the considered examples, it can be concluded that SWARA method can be successfully used to solve many similar problems, and that in some cases may have some advantages over similar methods, such as AHP method or Conjoint Analysis. As an advantage of the proposed procedure can be mentioned a much smaller number of comparisons in pairs, compared with the AHP method, and much more comprehensible proced ure for selecting the most acceptable alternative, compared with Conjoint Analysis. The proposed framework can also be easily adjusted to solve a significant number of MCDM problems.eng
dc.formatPDF
dc.format.extentp. 181-187
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyBusiness Source Complete
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.source.urihttp://dx.doi.org/10.5755/j01.ee.26.2.8820
dc.subjectVE03 - Inovacijų vadyba / Innovation management
dc.titleA framework for the selection of a packaging design based on the SWARA method
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references29
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionMegatrend University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enStep-wise Weight Assessment Ratio Analysis (SWARA)
dc.subject.enPackaging selection
dc.subject.enPackaging design
dc.subject.enMCDM
dc.subject.enPairwise comparison
dcterms.sourcetitleInžinerinė ekonomika = Engineering economics
dc.description.issueno. 2
dc.description.volumeVol. 26
dc.publisher.nameTechnologija
dc.publisher.cityKaunas
dc.identifier.doi10.5755/j01.ee.26.2.8820
dc.identifier.elaba15331329


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