Title: Development of framework for predictive maintenance in Indian manufacturing sector

Authors: Nishit Kumar Srivastava; Sandeep Mondal

Addresses: Department of Management Studies, Indian School of Mines, Dhanbad (Jharkhand) – 826004, India ' Department of Management Studies, Indian School of Mines, Dhanbad (Jharkhand) – 826004, India

Abstract: Every machine degrades with time and requires maintenance. Among all types of maintenance policies, predictive maintenance is established as the best form of maintenance policy as numerous benefits are associated with it. Despite all the benefits, it finds restrictive usage in manufacturing companies. A literature survey reveals that limited funds is the major reason for restrictive usage of predictive maintenance, as predictive maintenance is capital intensive. In this paper, a predictive maintenance framework using predictive maintenance models with no investment on technology component is proposed for Indian manufacturing sector.

Keywords: predictive maintenance; failure mode and effects analysis; FMEA; failure mode effects and criticality analysis; FMECA; manufacturing industry; preventive maintenance; NHPP models; non-homogenous Poisson process; machine availability; plant availability; India.

DOI: 10.1504/IJSOM.2016.075764

International Journal of Services and Operations Management, 2016 Vol.24 No.1, pp.73 - 98

Received: 18 Sep 2014
Accepted: 19 Oct 2014

Published online: 02 Apr 2016 *

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