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Development of fuzzy PROMETHEE algorithm for the evaluation of Indian world-class manufacturing organisations

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  • Abhijeet K. Digalwar
  • Prasanna A. Date

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.

Suggested Citation

  • Abhijeet K. Digalwar & Prasanna A. Date, 2016. "Development of fuzzy PROMETHEE algorithm for the evaluation of Indian world-class manufacturing organisations," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 24(3), pages 308-330.
    • Handle: RePEc:ids:ijsoma:v:24:y:2016:i:3:p:308-330
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    Cited by:

    1. Hana Ayadi & Nadia Hamani & Lyes Kermad & Mounir Benaissa, 2021. "Novel Fuzzy Composite Indicators for Locating a Logistics Platform under Sustainability Perspectives," Sustainability, MDPI, vol. 13(7), pages 1-37, April.

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