LITERATURE REVIEW ON RELIABILITY, OPTIMIZATION, AND PERFORMABILITY ANALYSIS OF INDUSTRIAL SYSTEMS

Authors:

S Z Taj,

DOI NO:

https://doi.org/10.26782/jmcms.2025.06.00006

Keywords:

AI-Based Predictions,Cost-benefit analysis,Industrial Systems,Markov Processes,Reliability Analysis,Semi-Markov Models,

Abstract

Over the past thirty years, reliability engineering has significantly evolved beyond its conventional focus on system reliability indices, profit evaluations, and cost-benefit analyses. With the advent of smart manufacturing, the field now integrates sophisticated stochastic modeling, multi-objective optimization, and AI-powered predictive maintenance. This review highlights key developments, including improvements in the reliability of single-unit, dual-unit, and multi-unit industrial systems, applications in various industries, the incorporation of renewable energy, and AI-driven monitoring and analysis. Furthermore, it identifies current research gaps and presents potential avenues for further innovation in reliability assessment.

Refference:

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