Nilesh Pancholi, Mangal Bhatt

Abstract: The purpose of this paper is to investigate the scope of reliability improvement of aluminium wire rolling mill. This paper addresses the performance reliability of continuous process industry of interest to many applications in maintenance planning where multi-attribute decision making (MADM) approaches are very useful. The paper addresses the process of discriminating critical components through substantial shop-floor failure data. The research work narrates a method for evaluating risk priority number (RPN) traditionally. Moreover, the maintainability criticality index (MCI) for each failure cause of identified critical components is evaluated through two disparate MADM failure models: technique for order preference by similarity to ideal solution (TOPSIS) and preference section index (PSI) to overcome the limitations of more traditional approaches. The primary findings of this research work are to enhance quality in planning the maintenance activities of critical components of targeted process industry through traditional as well as non-traditional failure analysis models. The research work is focused on potential failure causes of critical components like; bearings, gears, and shafts of aluminium wire rolling mill which are commonly representing the most critical components in a large range of industrial processes including aluminium wires. The proposed work will illustrate the working lives of components and associated failures. It will help to elucidate maintenance issues of major process industries and recommended deliverable keys.

Keywords: Shop-floor Failure Data Analysis, FMECA: Reliability Engineering, Maintenance Planning, TOPSIS, PSI, Process Industry

DOI: 10.18421/IJQR11.03-08

Recieved: 18.03.2017  Accepted: 12.06.2017  UDC: 005.6

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