Digital Maintenance and Asset Digitalization (eBook)

Smart Strategies for Optimizing Asset Performance
Artikelnummer: 978-3-032-21502-4
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
CHF 189.00
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This book is essential read for engineers, maintenance professionals, asset managers, and business leaders seeking to stay ahead in the rapidly evolving landscape of digital asset management. Digital Maintenance and Asset Digitalization is a definitive resource on the digital transformation of maintenance and asset management. As industries increasingly rely on data-driven decision-making, this book explores how emerging technologies-such as Artificial Intelligence, the Internet of Things, Digital Twins, and Predictive Maintenance-are revolutionizing the way assets are managed and maintained.

Bringing together insights from leading experts, this book offers a combination of theoretical frameworks, technological advancements, and real-world case studies. Readers will discover how organizations across different sectors are implementing digital maintenance strategies to enhance efficiency, improve asset reliability, and reduce costs.

With a strong emphasis on practical applications, this book highlights success stories, challenges, and lessons learned from digital maintenance initiatives. The content is enriched with illustrative diagrams, tables, and case studies to provide a clear understanding of complex concepts.

Whether you are looking to optimize your current maintenance operations or embark on a full-scale digital transformation, this book provides the knowledge and insights needed to succeed.

This book is essential read for engineers, maintenance professionals, asset managers, and business leaders seeking to stay ahead in the rapidly evolving landscape of digital asset management. Digital Maintenance and Asset Digitalization is a definitive resource on the digital transformation of maintenance and asset management. As industries increasingly rely on data-driven decision-making, this book explores how emerging technologies-such as Artificial Intelligence, the Internet of Things, Digital Twins, and Predictive Maintenance-are revolutionizing the way assets are managed and maintained.

Bringing together insights from leading experts, this book offers a combination of theoretical frameworks, technological advancements, and real-world case studies. Readers will discover how organizations across different sectors are implementing digital maintenance strategies to enhance efficiency, improve asset reliability, and reduce costs.

With a strong emphasis on practical applications, this book highlights success stories, challenges, and lessons learned from digital maintenance initiatives. The content is enriched with illustrative diagrams, tables, and case studies to provide a clear understanding of complex concepts.

Whether you are looking to optimize your current maintenance operations or embark on a full-scale digital transformation, this book provides the knowledge and insights needed to succeed.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2026
Seitenangabe380 S.
AusgabekennzeichenEnglisch
AbbildungenX, 380 p. 85 illus., 63 illus. in color.
Masse16'677 KB
PlattformPDF
ReiheEngineering Asset Management Review; Engineering; Engineering
AutorCrespo Márquez, Adolfo (Hrsg.) / Seecharan, Turuna (Hrsg.) / Abdul-Nour, Georges (Hrsg.) / Amadi-Echendu, Joe (Hrsg.) / Sánchez Herguedas, Antonio (Hrsg.) / Goti Elordi, Aitor (Hrsg.)

Alle Bände der Reihe "Engineering Asset Management Review; Engineering; Engineering (R0)"

Über den Autor Adolfo (Hrsg.) Crespo Márquez

Adolfo Crespo Márquez is a Full Professor at the University of Seville with more than 25 years in asset and maintenance management. He received the Spanish Maintenance Award (AEM, 2020) and is listed in Stanford University's world top-scientists ranking (since 2022). Author of The Maintenance Management Framework (Springer, 2007) and several other books, his models have been applied across utilities and industry in Europe the Americas and the Middle East. He is Editor-in-Chief of the Engineering Asset Management Review series, a Fellow and Director of ISEAM, and President of INGEMAN. His research focuses on digital transformation, reliability, and strategic asset management for industrial and infrastructure systems. Turuna Seecharan is an Associate Professor in the Department of Mechanical and Industrial Engineering at the University of Minnesota Duluth. She is a licensed Professional Engineer with the Professional Engineers of Ontario and a board member of the International Society of Engineering Asset Management. Her research interests are Gamification and the role of Human Factors in Asset Management. Dr. Georges Abdul-Nour is an Emeritus Professor of Industrial engineering, Université du Québec, Canada. He completed his PhD at Texas Tech University. He authored and co-authored more than 450 books and chapters, refereed papers, and technical reports. His research interest is in Intelligent Asset Management, Systems Resilience, and Reliability, Lean Intelligent Manufacturing and Six Sigma. He is member of the Editorial Board of International Journal of Production Research, and Director on the Board of International Society of Engineering Asset Management. He is an Elected Member of the Academy of Industrial Engineering of Texas Tech. He is a Fellow of ISEAM. Joe Amadi-Echendu is Emeritus Professor of Engineering and Technology Management at the University of Pretoria, South Africa. Professor Amadi-Echendu is the founding Editor-in-Chief of EAMR Series. He is the sole author of a textbook, lead author of 3 books, and co-editor of another 7 books all published by Springer. Joe is registered as a chartered professional engineer in the UK and South Africa and currently serves as the Chair of Board of Directors of the International Society of Engineering Asset Management. Jay Lee is Clark Distinguished Chair Professor and Director of the Industrial AI Center at the University of Maryland, College Park. He is internationally recognized for his pioneering contributions to industrial AI and intelligent maintenance systems. Formerly, he was Ohio Eminent Scholar, L.W. Scott Alter Chair, and University Distinguished Professor at the University of Cincinnati. Dr. Lee founded the NSF I/UCRC on Intelligent Maintenance Systems and has led major collaborations with global industry partners. His leadership has had significant economic and technological impact. As Founding Director of the Industrial AI Center, he remains at the forefront of advancing smart manufacturing and predictive analytics in asset management.

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