Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1937
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dc.contributor.authorMatawale, C R-
dc.contributor.authorDatta, S-
dc.contributor.authorMahapatra, S S-
dc.date.accessioned2013-04-29T13:00:56Z-
dc.date.available2013-04-29T13:00:56Z-
dc.date.issued2013-04-
dc.identifier.citation2013 Asia-Pacific International Congress on Engineering and Natural Sciences (APICENS 2013) Bangkok, Thailand, 16-18 April 2013.en
dc.identifier.urihttp://hdl.handle.net/2080/1937-
dc.descriptionCopyright belongs to proceeding publisheren
dc.description.abstractLean and agile concepts gained vital importance during the past few decades. For successful survival in the competitive global marketplace; the industrial sectors, throughout the world, are upgrading existing business strategies by adapting these concepts to achieve competitive advantage. The concept of ‘leagility’ has been emerged encapsulating salient features of ‘leanness’ as well as ‘agility’.Leagility metric is difficult to achieve due to existence of imprecise, vague information associated with evaluation criterions. In order to tackle such inconsistency- and incompleteness in the decisionmaking process; present work proposes a leagility evaluation model in fuzzy environment. A structured model consisting of leagile capabilities as well as attributes has been explored to assess an overall leagility index. The appraisement model has been implemented in a case application and, the data, obtained thereof, has been analyzed. Future opportunities towards improving leagility degree have also been identified.en
dc.format.extent70097 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.subjectLeagilityen
dc.subjectleannessen
dc.subjectagilityen
dc.titleDevelopment of a Decision Support System for Leagility Assessment in Fuzzy Environmenten
dc.typeArticleen
Appears in Collections:Conference Papers

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