| dc.contributor.author |
Digalwar, Abhijeet K. |
|
| dc.date.accessioned |
2023-09-06T06:27:57Z |
|
| dc.date.available |
2023-09-06T06:27:57Z |
|
| dc.date.issued |
2016 |
|
| dc.identifier.uri |
https://www.inderscienceonline.com/doi/abs/10.1504/IJSOM.2016.076903 |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11914 |
|
| dc.description.abstract |
Establishing a performance-oriented evaluation in manufacturing sectors is the key to successful administrations and further improvement. However, because of lacking relative comparable measuring standards, it is difficult to measure the relative performance of one organisation while comparing to other organisations with regard to the multiple criteria decision making (MCDM) of performance evaluation. This paper aims to focus on the evaluation of world class manufacturing (WCM) practices in Indian manufacturing sectors. The algorithm in this paper is based on the concept of fuzzy set theory and the PROMETHEE. This algorithm is then applied to three heavy engineering sector organisations in India. These organisations are ranked according to their WCM practices. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Inder Science |
en_US |
| dc.subject |
Mechanical Engineering |
en_US |
| dc.subject |
Fuzzy PROMETHEE |
en_US |
| dc.subject |
Heavy engineering |
en_US |
| dc.subject |
World class manufacturing |
en_US |
| dc.subject |
Performance evaluation |
en_US |
| dc.subject |
Multicriteria decision making |
en_US |
| dc.title |
Development of fuzzy PROMETHEE algorithm for the evaluation of Indian world-class manufacturing organisations |
en_US |
| dc.type |
Article |
en_US |