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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/11584
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dc.contributor.authorRoutroy, Srikanta
dc.contributor.authorPotdar, Pavan Kumar
dc.date.accessioned2023-08-23T04:19:04Z
dc.date.available2023-08-23T04:19:04Z
dc.date.issued2018-07
dc.identifier.urihttps://www.inderscienceonline.com/doi/abs/10.1504/IJPQM.2018.092981
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11584
dc.description.abstractThe primary objective of this paper is to quantify, evaluate and compare the implementation performance of agile manufacturing program using graph theoretic approach. Eleven agile manufacturing enablers with their key performance indicators were identified and classified into three significant categories. The proposed model captures the performance and interdependencies of significant categories, agile manufacturing enablers and their key performance indicators to quantify the agile manufacturing implementation performance level. In order to demonstrate the utility of the proposed approach, it was applied to an Indian automobile manufacturing company. The performances along the timeline were evaluated and compared with different scenarios to identify performance gap and set the future targets. Although it was observed a significant growth in agile manufacturing implementation performance level in the case company over six quarters, but there was performance gap that needs to be reduced.en_US
dc.language.isoenen_US
dc.publisherInder Scienceen_US
dc.subjectMechanical Engineeringen_US
dc.subjectAgile Manufacturingen_US
dc.subjectAgile Manufacturing enablersen_US
dc.subjectKey performance indicator KPIen_US
dc.subjectGraph theoretic approachen_US
dc.subjectPerformance measurementen_US
dc.titleImplementation performance of agile manufacturing: a graph theoretic approachen_US
dc.typeArticleen_US
Appears in Collections:Department of Mechanical engineering

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