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Maintenance Mastery: Predictive, Preventive, and Reliability-Centered Strategies MTA
Modern maintenance programs that reduce downtime and extend asset life through data and processes.

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About this book:

Maintenance Mastery: Predictive, Preventive, and Reliability-Centered Strategies Maintenance Mastery provides a comprehensive roadmap for transforming maintenance from a reactive cost center into a strategic driver of reliability, safety, and profitability. It begins by introducing the Maintenance Maturity Curve, guiding organizations from run‑to‑failure firefighting through preventive and predictive practices to the pinnacle of Reliability‑Centered Maintenance (RCM). Early chapters focus on foundational steps: building an accurate asset register, ranking assets by criticality, understanding failure mechanisms and the P–F curve, and applying RCM’s seven‑question methodology to develop optimal, risk‑based task lists. The book then details how to optimize preventive maintenance intervals, design effective condition‑monitoring programs (vibration, oil analysis, thermography, ultrasound, motor testing, and emerging IIoT/sensor technologies), and integrate these insights into a robust CMMS/EAM system that supports work planning, scheduling, execution, and MRO inventory control.

Later sections emphasize measurement, finance, and continuous improvement. Readers learn how to select leading and lagging KPIs, build actionable dashboards, and use life‑cycle costing and ROI models to justify reliability investments. Root cause analysis, defect elimination, risk management for safety‑critical assets, and regulatory compliance are presented as essential practices for turning failures into learning opportunities. The human element is addressed through competency development, change management, and fostering a collaborative culture between maintenance, operations, engineering, and procurement. Advanced topics such as predictive analytics, machine learning, and digital twins are explored as the next frontier for forecasting failures and optimizing asset performance.

The book concludes with governance frameworks, audit strategies, and a practical playbook drawn from real‑world case studies across food processing, water treatment, logistics, and mining. These examples illustrate how organizations have unlocked capacity, cut costs, and improved safety by systematically applying the principles and tools discussed throughout. Overall, Maintenance Mastery offers a disciplined, data‑driven, and people‑focused approach to achieving sustained operational excellence and extending asset life.

What You'll Find Inside:
  • A framework for advancing along the maintenance maturity curve from reactive firefighting to predictive and reliability-centered excellence
  • Methods for building accurate asset registers and criticality rankings to prioritize maintenance efforts where they deliver maximum value
  • RCM principles and decision logic for developing optimized maintenance programs tailored to specific failure modes and business risks
  • Practical guidance on implementing condition monitoring technologies including vibration analysis, oil analysis, and thermography
  • Strategies for selecting, implementing, and leveraging CMMS/EAM systems integrated with work management, KPIs, and continuous improvement
Who's It For:

This book is essential for maintenance managers, reliability engineers, plant managers, and operations leaders seeking to transform their maintenance function from a cost center into a strategic advantage. It's particularly valuable for professionals responsible for developing or improving maintenance strategies in manufacturing, processing, utilities, transportation, or any asset-intensive industry. Those implementing RCM programs, condition monitoring, or CMMS/EAM systems will find actionable guidance to reduce downtime, extend asset life, and align maintenance with business objectives.

Author:

Judith Kelly

Published By:

MixCache.com


Date Published:

May 28, 2026

Word Count:

54,701 words

Reading Time:

3 hours 50 minutes

Sample:

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