Table of Contents
Journal of Quality and Reliability Engineering
Volume 2016, Article ID 8421916, 8 pages
http://dx.doi.org/10.1155/2016/8421916
Research Article

Multicriteria FMECA Based Decision-Making for Aluminium Wire Process Rolling Mill through COPRAS-G

1Gujarat Technological University, Visat-Gandhinagar Highway, Chandkheda, Ahmedabad, Gujarat 382424, India
2Shantilal Shah Engineering College, Post: Vartej, Sidsar, Bhavnagar, Gujarat 364060, India

Received 4 March 2016; Revised 21 April 2016; Accepted 12 June 2016

Academic Editor: Kwai S. Chin

Copyright © 2016 Nilesh Pancholi and M. G. Bhatt. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper presents a multifactor decision-making approach based on “grey-complex proportional assessment (COPRAS-G) method” in a view to overcome the limitations of Failure Mode Effect and Criticality Analysis (FMECA). In this model, the scores against each failure mode are expressed in grey number instead of crisp values to evaluate the criticalities of the failure modes without uncertainty. The suggested study is carried out to identify the weights of major failure causes for bearings, gears, and shafts of aluminium wire rolling mill plant. The primary findings of the paper are that sudden impact on the rolls seems to be most critical failure cause and loss of power seems to be least critical failure cause. It is suggested to modify the current control practices with proper maintenance strategy based on achieved maintainability criticality index (MCI) for different failure causes. The outcome of study will be helpful in deriving optimized maintenance plan to maximize the performance of process industry.