| dc.contributor.author |
Digalwar, Abhijeet K. |
|
| dc.contributor.author |
Sangwan, Kuldip Singh |
|
| dc.date.accessioned |
2023-08-25T11:06:42Z |
|
| dc.date.available |
2023-08-25T11:06:42Z |
|
| dc.date.issued |
2008-06 |
|
| dc.identifier.uri |
https://www.inderscienceonline.com/doi/abs/10.1504/IJSOM.2008.018725 |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11670 |
|
| dc.description.abstract |
Many industries are implementing World-Class Manufacturing (WCM) systems to compete in the global market. However, the researchers in the area of WCM have not paid much attention to the techniques/methodologies for the evaluation of WCM systems. This paper presents a set of validated critical success factors and their performance variables for WCM industries. The reliability and validity analyses were carried out by using the SPSS? 11.5 statistical tool on the data obtained from the Indian automotive industries. A multiattribute decision model, i.e., Performance Value Analysis (PVA), was developed for the evaluation of WCM systems. The usefulness of the model is demonstrated using a case situation of the Indian automotive industry. By utilising this model, it is expected that managers/decision makers will acquire sufficient confidence in evaluating world-class automotive industries. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Inder Science |
en_US |
| dc.subject |
Mechanical Engineering |
en_US |
| dc.subject |
World-class manufacturing systems |
en_US |
| dc.subject |
WCM |
en_US |
| dc.subject |
Multicriteria decision making |
en_US |
| dc.subject |
Multi-criteria decision making (MCDM) techniques |
en_US |
| dc.subject |
Performance measures |
en_US |
| dc.subject |
Critical success factors |
en_US |
| dc.title |
Evaluation of world-class manufacturing systems: a case of Indian automotive industries |
en_US |
| dc.type |
Article |
en_US |