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Human Reliability Maintenance

A comprehensive engineering reference that consolidates human reliability, human error, human factors, and safety in engineering maintenance—with emphasis on aviation and power generation—into a single volume of concepts, methods, and mathematical models.

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What it’s about

Each year industry spends hundreds of billions of dollars maintaining engineering systems, and roughly 80% of that is spent rectifying chronic failures of systems, machines, and—critically—humans. This book by B.S. Dhillon fills a gap by combining human reliability, human error, human factors, and maintenance safety into one accessible reference. Beginning with the mathematical and conceptual foundations (Boolean algebra, probability distributions, Markov methods, reliability and correctability functions), it moves through analysis methods (FMEA, fault tree analysis, root cause analysis, probability trees, error-cause removal programs) and then applies them to maintenance error in general, in aviation, and in power generation. It documents the human, environmental, and design causes of maintenance error, offers guidelines for reducing error and improving safety, and supplies a battery of mathematical models for predicting maintenance personnel reliability and analyzing single and redundant systems. Written to require no prior knowledge and richly supported by worked examples and end-of-chapter problems, it serves maintenance engineers, reliability and safety professionals, human factors specialists, designers, administrators, students, and researchers who want to minimize or eliminate human error in maintenance.

The through-line

Who it’s for
A maintenance engineer, reliability/safety professional, human factors specialist, designer, administrator, student, or researcher who wants to understand and reduce human error in engineering maintenance.
The problem
Human errors in maintenance cause costly equipment failures, accidents, and fatalities, yet the relevant knowledge is scattered across many diverse journals, reports, and conference proceedings. The reader feels overwhelmed by having to consult numerous disparate sources and uncertain about how to quantify and control human error in maintenance.
The plan
  1. Learn the foundational mathematical and human factors concepts.
  2. Master analysis methods such as FMEA, fault tree analysis, root cause analysis, probability tree, and the Markov method.
  3. Study the causes, types, and environments of maintenance error in general, aviation, and power generation.
  4. Apply domain-specific guidelines and tools (e.g., MEDA, ECRP, checklists) to reduce error and improve safety.
  5. Use the provided mathematical models to predict maintenance personnel reliability and system behavior.
The payoff
Fewer maintenance-induced failures, accidents, and fatalities. · Higher equipment availability, safety, and productivity. · Quantified, defensible estimates of maintenance personnel reliability and system availability.

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