Maintenance Strategies and Optimization Techniques

Mohammad Yazdi ()
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Mohammad Yazdi: Macquarie University

Chapter Chapter 3 in Advances in Computational Mathematics for Industrial System Reliability and Maintainability, 2024, pp 43-58 from Springer

Abstract: Abstract In today’s technologically driven world, the efficiency and longevity of machinery, equipment, and systems are paramount. The chapter maintenance Strategies and Optimization Techniques discusses the core methodologies and approaches organizations can adopt to ensure their assets' optimal performance and extended lifespan. This study highlights the principal maintenance strategies, such as preventive, predictive, reactive, and proactive maintenance, detailing their benefits and limitations. Furthermore, we introduce advanced optimization techniques like condition-based monitoring, reliability-centered maintenance, and the use of artificial intelligence in predictive analysis. By integrating these strategies with the latest optimization tools, organizations can minimize downtime, reduce costs, and enhance their systems' overall productivity and longevity. Through case studies and real-world applications, this research provides actionable insights for industries looking to bolster their maintenance regimes and achieve operational excellence.

Keywords: Maintenance strategies; Optimization techniques; Preventive; Predictive; Reactive; Proactive maintenance; Condition-based monitoring; Reliability-centered maintenance; Artificial intelligence; Predictive analysis; Downtime minimization; Cost reduction; Operational excellence; Machinery efficiency; Asset longevity (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-53514-7_3

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DOI: 10.1007/978-3-031-53514-7_3

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