Learning and Relearning Equipment Complexity 1st Edition

Learning and Relearning Equipment Complexity (1st Edition) by Sasho Andonov is a practical, insight-driven guide for professionals grappling with modern systems. This book immediately draws you in with real-world examples that reveal why equipment that once seemed straightforward now demands new ways of thinking, diagnosing, and optimizing.

Inside, Andonov combines systems engineering, maintenance strategy, and human-centered diagnostics to explain how complexity emerges and how teams can deliberately relearn processes to improve uptime and safety. Clear frameworks, step-by-step problem-solving approaches, and case studies from manufacturing, energy, healthcare, and transportation make complex concepts accessible to engineers, technicians, reliability managers, and advanced students.

Readers will gain actionable tools to reduce downtime, prioritize root-cause analysis, and design resilient maintenance practices. The book emphasizes transferable skills—how to map failure modes, capture tacit knowledge, and align organizational learning with evolving equipment behavior—benefits that apply across geographies from North America and Europe to Asia and emerging markets.

Written in a professional yet engaging voice, this 1st Edition balances technical rigor with practical advice, making it ideal for on-the-job reference and curriculum adoption. Whether you’re leading an engineering team, responsible for asset performance, or studying complex systems, Andonov’s framework helps you convert complexity into predictable, improvable outcomes.

Order your copy of Learning and Relearning Equipment Complexity today to equip your team with the strategies needed for modern asset reliability and smarter maintenance decisions.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.