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dc.contributor.authorDigalwar, Abhijeet K.-
dc.date.accessioned2023-09-06T06:27:57Z-
dc.date.available2023-09-06T06:27:57Z-
dc.date.issued2016-
dc.identifier.urihttps://www.inderscienceonline.com/doi/abs/10.1504/IJSOM.2016.076903-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11914-
dc.description.abstractEstablishing 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.isoenen_US
dc.publisherInder Scienceen_US
dc.subjectMechanical Engineeringen_US
dc.subjectFuzzy PROMETHEEen_US
dc.subjectHeavy engineeringen_US
dc.subjectWorld class manufacturingen_US
dc.subjectPerformance evaluationen_US
dc.subjectMulticriteria decision makingen_US
dc.titleDevelopment of fuzzy PROMETHEE algorithm for the evaluation of Indian world-class manufacturing organisationsen_US
dc.typeArticleen_US
Appears in Collections:Department of Mechanical engineering

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