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Implementation performance of agile manufacturing: a graph theoretic approach

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dc.contributor.author Routroy, Srikanta
dc.contributor.author Potdar, Pavan Kumar
dc.date.accessioned 2023-08-23T04:19:04Z
dc.date.available 2023-08-23T04:19:04Z
dc.date.issued 2018-07
dc.identifier.uri https://www.inderscienceonline.com/doi/abs/10.1504/IJPQM.2018.092981
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11584
dc.description.abstract The 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.iso en en_US
dc.publisher Inder Science en_US
dc.subject Mechanical Engineering en_US
dc.subject Agile Manufacturing en_US
dc.subject Agile Manufacturing enablers en_US
dc.subject Key performance indicator KPI en_US
dc.subject Graph theoretic approach en_US
dc.subject Performance measurement en_US
dc.title Implementation performance of agile manufacturing: a graph theoretic approach en_US
dc.type Article en_US


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