Reliability Modeling in Industry 4.0

Reliability Modeling with Industry 4.0 explores the emerging theoretical and practical developments in reliability engineering in highly digitized industries, providing cutting-edge advice on integrating a fully digitized Industry 4.0 system for enhanced reliability and reduced maintenance costs.

Format: Paperback / softback
Length: 430 pages
Publication date: 24 February 2023
Publisher: Elsevier - Health Sciences Division

Reliability Modeling with Industry 4.0 delves into the groundbreaking theoretical and practical advancements in reliability engineering within highly digitized industries, encompassing power, computer systems, railway systems, and robotics. By drawing upon esteemed research from across the world and incorporating the latest industry practices, this comprehensive book offers cutting-edge guidance on integrating a fully digitized Industry 4.0 system to enhance reliability and minimize maintenance costs. The text addresses technologies such as big data, artificial intelligence, and the industrial internet of things within the realm of reliability engineering, providing practical insights into their applications.

The book explores the significance of reliability modeling in Industry 4.0, emphasizing the need for robust and resilient systems in the face of technological advancements and increasing complexity. It discusses the challenges posed by the digitalization of industries, including the potential for cyber threats, data privacy concerns, and the need for seamless integration of different systems.

Reliability Modeling with Industry 4.0 provides a comprehensive framework for developing and evaluating reliability models in Industry 4.0 systems. It covers various methodologies, such as fault tree analysis, Bayesian inference, and Monte Carlo simulation, and explains how they can be applied to different industries and applications. The book also discusses the role of data analytics and machine learning in reliability modeling, highlighting their potential to improve the accuracy and efficiency of reliability predictions.

In addition to theoretical discussions, the book provides practical insights into the implementation of reliability modeling in Industry 4.0 systems. It discusses the importance of designing for reliability, including the use of fault-tolerant architectures, redundant components, and preventive maintenance strategies. The book also provides case studies and examples from real-world industries to illustrate the practical applications of reliability modeling and its impact on business outcomes.

Overall, Reliability Modeling with Industry 4.0 is a valuable resource for professionals, researchers, and students interested in advancing the field of reliability engineering in Industry 4.0. It offers a comprehensive understanding of the latest theoretical and practical developments, providing practical advice on integrating digitized systems for enhanced reliability and reduced maintenance costs.

Dimension: 229 x 152 (mm)
ISBN-13: 9780323992046