Maintenance Optimization in Process Plant Using Failure mode effect analysis

Abstract

Experimental investigations are conducted to assess the influence of various equipment in terms of MTBF(Mean time between failures) and MTTR(Mean Time To Repair) in this study. Analysis of these data has helped to find out the critical components in coil and mill Plant at Anjar, Kutch, India. The goal of this work is to analyze the maintenance data and recommend optimized maintenance plan. The genetic algorithm is proposed as a heuristic search method for maintenance optimization in Plate and coil mill plant unit. Genetic algorithm searches for the best solution for the efficiency enhancement of the plant. This paper presents the influence of genetic algorithm in maintenance optimization in Plate and coil mill plant. Failure mode effect analysis is the used methodology in proposed work which is a fundamental piece of the specialized plan of support to enhance framework quality and hence lessens costs related with upkeep that is utilized as a part of a wide range industry.