Predictive Maintenance in Smart Factories: Architectures, Methodologies, and Use-cases

Format: Hardback
Length: 234 pages
Publication date: 27 August 2021
Publisher: Springer Verlag, Singapore

This book presents the remarkable outcome of the European project SERENA, a collaborative effort involving fourteen esteemed partners from the world of international academia, cutting-edge technological companies, and thriving industrial factories. The project's primary focus was on the design and development of a groundbreaking plug-n-play end-to-end cloud architecture, aimed at empowering small and medium manufacturing companies with limited data analytics experience to effortlessly leverage predictive maintenance for their industrial equipment.

Spanning across diverse domains, the project brought together a diverse group of experts who shared a common vision of revolutionizing the manufacturing industry through the integration of advanced cloud technologies. By seamlessly connecting various components and systems, SERENA created a platform that facilitated the real-time monitoring, analysis, and forecasting of equipment performance, enabling manufacturers to identify potential issues before they escalate into costly breakdowns.

The significance of this endeavor cannot be overstated, as it holds the potential to transform the way manufacturers approach maintenance. Traditionally, predictive maintenance has been reserved for large enterprises with substantial resources and expertise in data analytics. However, SERENA's plug-n-play architecture democratized access to this valuable technology, making it accessible to a broader range of manufacturers, regardless of their size or technical capabilities.

In addition to its technological prowess, the book delves into the broader perspectives and emerging opportunities associated with predictive maintenance. It explores the potential for enhanced efficiency, productivity, and profitability in the manufacturing sector by leveraging data-driven insights. The authors also offer insightful suggestions of future research directions to further accelerate the growth of manufacturing intelligence, ensuring that manufacturers remain at the forefront of innovation and competitiveness.

Overall, this book serves as a valuable resource for professionals, researchers, and policymakers seeking to harness the power of predictive maintenance in the manufacturing industry. It provides a comprehensive roadmap for designing and implementing cloud-based solutions that enable small and medium manufacturers to optimize their equipment performance, reduce downtime, and ultimately drive growth and success.

Weight: 522g
Dimension: 161 x 241 x 23 (mm)
ISBN-13: 9789811629396
Edition number: 1st ed. 2021