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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sangwan, Kuldip Singh | - |
| dc.date.accessioned | 2023-08-31T08:56:07Z | - |
| dc.date.available | 2023-08-31T08:56:07Z | - |
| dc.date.issued | 2023-05 | - |
| dc.identifier.uri | https://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2022-0113/full/html | - |
| dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11762 | - |
| dc.description.abstract | This paper aims to present a simple and innovative fuzzy methodology-based lean performance measurement system (L-PMS) for an Indian automotive supply chain. The paper also enlightens the influence of coronavirus disease 2019 (COVID-19) on supply chains and the practical implications of the unprecedented disruptions on the performance measurement systems. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Emerald | en_US |
| dc.subject | Mechanical Engineering | en_US |
| dc.subject | Lean performance measurement | en_US |
| dc.subject | Key performance indicators | en_US |
| dc.subject | Lean organizations | en_US |
| dc.subject | Organizational functional areas | en_US |
| dc.subject | Fuzzy methodology | en_US |
| dc.title | Lean performance measurement system for an Indian automotive supply chain | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Department of Mechanical engineering | |
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