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DC Field | Value | Language |
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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 |
Appears in Collections: | Department of Mechanical engineering |
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