1st Edition

Systems 4.0 Systems Foundations for Industry 4.0

    154 Pages 3 B/W Illustrations
    by CRC Press

    The underlying premise for Industry 4.0 is a systems approach. This book introduces the concept of Systems 4.0 as a foundational requirement for the success of Industry 4.0 in the same way that Quality 4.0 has emerged to advance Industry 4.0.

    Systems 4.0: Systems Foundations for Industry 4.0 discusses the role of the professional engineer in advancing commerce and industry. It offers an introduction to Industry 4.0 and how to leverage the digital era to improve industrial operations. The book presents and describes the first industrial revolution on through to the fourth revolution and provides general systems engineering principles that can be used with Industry 4.0.

    This is a practical guide for professional engineers and consultants involved in Industrial Engineering, Mechanical Engineering, Operations Management and can also be used as a reference for students.

    1. Fundamentals of Industry 4.0.  2. Elements of Systems 4.0.  3. Digital Manufacturing in Industry 4.0.  4. DEJI Systems Model in Industry 4.0.  5. Industry 4.0 Technology Transfer Within Systems 4.0.  6. Technology Cost Analysis in Systems 4.0.  7. Computational Tools for Systems 4.0.


    Dr. Adedeji Badiru is a Professor of Systems Engineering at the Air Force Institute of Technology (AFIT). He is a registered professional engineer and a fellow of the Institute of Industrial Engineers as well as a Fellow of the Nigerian Academy of Engineering. He has a BS degree in Industrial Engineering, MS in Mathematics, and MS in Industrial Engineering from Tennessee University, and Ph.D. in Industrial Engineering from the University of Central Florida. He is the author of several books and technical journal articles and has received several awards and recognitions for his accomplishments. His special skills, experience, and interests center on research mentoring of faculty and graduate students.

    Dr. Femi Omitaomu is a Senior R&D Staff in Computational Urban Sciences Group within the Advanced Computing Methods for Engineering Systems Section in Computational Sciences and Engineering Division at Oak Ridge National Laboratory (ORNL). He has more than 15 years of experience in research, development, and demonstration of innovative systems and methods in the areas of energy infrastructure siting, energy systems resilience, and disaster risk analysis. He has two issued US patents and several invention disclosures. He is the lead developer of major Department of Energy’s technologies including OR-SAGE (Oak Ridge Siting Analysis for Generation Expansion), CoNNECT (Citizen Engagement for Energy Efficiency and Renewable Integration), and Precision Deicer. He received the 2021 R&D 100 Award for Precision Deicer and the 2015 R&D 100 Finalist Award for CoNNECT.

    Femi joined ORNL as a Post-Doc in October 2006. Between October 2014 and September 2018, he was Team Lead for the Critical Infrastructure and Climate Change Team in Computational Sciences and Engineering Division at ORNL and Theme Lead for the Urban Resiliency Theme in ORNL’s Urban Dynamics Institute. He is currently the Acting Group Leader for Computational Urban Sciences research at ORNL. Femi is also an Adjunct Professor in the Department of Industrial and Systems Engineering and an Adjunct Professor in the Department of Civil and Environmental Engineering Department at the University of Tennessee, Knoxville.

    Prior to joining ORNL, Femi was a project engineer with Mobil Producing Nigeria (an ExxonMobil company). He holds a Ph.D. in Industrial Engineering with concentration in information engineering from the University of Tennessee. He has also M.S. and B.S. degrees in Mechanical Engineering from University of Lagos, Nigeria and Lagos State University, Nigeria, respectively. He is a senior member of several professional organizations including IEEE (Institute of Electrical and Electronic Engineers) and IISE (Institute of Industrial and Systems Engineers). He is also a member of AAAI (Association for the Advancement of Artificial Intelligence).