| dc.contributor.author | Chakraborty, Shankar | |
| dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
| dc.contributor.author | Antuchevičienė, Jurgita | |
| dc.date.accessioned | 2023-09-18T20:35:10Z | |
| dc.date.available | 2023-09-18T20:35:10Z | |
| dc.date.issued | 2015 | |
| dc.identifier.issn | 0424-267X | |
| dc.identifier.other | (BIS)VGT02-000029957 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/151097 | |
| dc.description.abstract | The weighted aggregated sum product assessment (WASPAS) method is a unique combination of weighted sum model (WSM) and weighted product model (WPM). Because of its mathematical simplicity and capability to provide more accurate results as compared to WSM and WPM methods, it is now being widely accepted as an efficient decision-making tool. In this paper, its applicability is validated using five real time manufacturing related problems while selecting (a) a flexible manufacturing system, (b) a machine in a flexible manufacturing cell, (c) an automated guided vehicle, (d) an automated inspection system, and (e) an industrial robot. It is observed that for all these five problems, WASPAS method provides quite acceptable results. The optimal λ values for each of the considered problem are determined and the effects of varying λ values on ranking of the candidate alternatives in WASPAS method are also analyzed. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 5-22 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | Social Sciences Citation Index (Web of Science) | |
| dc.relation.isreferencedby | Journal Citation Reports/Science Edition | |
| dc.relation.isreferencedby | Social SciSearch | |
| dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
| dc.source.uri | https://ecocyb.ase.ro/nr20151/01%20-%20Shankar%20CHAKRABORTY%20(Zavasdakas)%20(T).pdf | |
| dc.subject | FM03 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai ir metodai / Mathematical models and methods of physical, technological and economic processes | |
| dc.title | Applications of WASPAS method as a multi-criteria decision-making tool | |
| dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
| dcterms.references | 25 | |
| dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
| dc.contributor.institution | Jadavpur University | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
| dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.ltspecializations | L103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society | |
| dc.subject.en | MCDM (Multiple Criteria Decision Making) | |
| dc.subject.en | WASPAS (Weighted Aggregated Sum Product Assessment) | |
| dc.subject.en | WSM (Weighted Sum Model) | |
| dc.subject.en | WPM (Weighted Product Model) | |
| dc.subject.en | Manufacturing | |
| dc.subject.en | Ranking | |
| dcterms.sourcetitle | Economic computation and economic cybernetics studies and research | |
| dc.description.issue | no. 1 | |
| dc.description.volume | vol. 49 | |
| dc.publisher.name | Academy of Economic Studies | |
| dc.publisher.city | Bucharest | |
| dc.identifier.doi | 000350843300001 | |
| dc.identifier.elaba | 7866891 | |
