Business innovation and industrial intelligence are paving the way for a future in which smart factories, intelligent machines, networked processes and Big Data are combined to foster industrial growth. The maturity and growth of instrumentation, monitoring and automation as key technology drivers support Industry 4.0 as a viable, competent and actionable business model.
This book offers a primer, helping readers understand this paradigm shift from industry 1.0 to industry 4.0. The focus is on grasping the necessary pre-conditions, development & technological aspects that conceptually describe this transformation, along with the practices, models and real-time experience needed to achieve sustainable smart manufacturing technologies. The primary goal is to address significant questions of what, how and why in this context, such as:What is Industry 4.0?What is the current status of its implementation?What are the pillars of Industry 4.0?How can Industry 4.0 be effectively implemented?How are firms exploiting the Internet of Things (IoT), Big Data and other emerging technologies to improve their production and services?How can the implementation of Industry 4.0 be accelerated?How is Industry 4.0 changing the workplace landscape?Why is this melding of the virtual and physical world needed for smart production engineering environments?Why is smart production a game-changing new form of product design and manufacturing?

Helps readers understand the concepts & technologies driving Industry 4.0 Covers topics from three perspectives: theory, practice and research Helps business strategy heads and visionaries to recognize and verify the potential of Industry 4.0 Includes real-world case studies addressing current sustainability & future viability

Autorentext

Anand Nayyar is working in Graduate School in Duy Tan University, Da Nang, Vietnam. He has received his doctorate degree from Desh Bhagat University, Mandi Gobindgarh. He has more than 75+ International Certifications from CISCO, Microsoft, Oracle, Cyberoam, Google, Beingcert.com, GAQM.org and many more. He has published 250+ Research Papers in National/International Conferences along with International Journals of Repute with High Impact Factor. He is associated with more than 300 conferences as TPC Member, Reviewer, Board Member and many more. He has delivered 150+ Technical Lectures across various colleges and universities in India. He is member of 50+ International Societies and even senior Member of ACM. He has published 18 Books. He is working in the area of WSN, MANETS, Swarm Intelligence, Machine Learning, Big Data, Cloud Computing, Internet of Things, Deep Learning, Software Engineering, Industry 4.0 and many more. He has been awarded 25 Awards including Young Scientist, Young Researcher, Best Scientist, Exemplary Educationist, Outstanding Researcher for his dedication towards teaching and Research.

Akshi Kumar is a faculty in the Department of Computer Science & Engineering at Delhi Technological University (formerly Delhi College of Engineering) since 2008. She has received her doctorate degree in Computer Engineering from the University of Delhi in 2011. She has received her M.Tech (Master of Technology) and BE (Bachelor of Engineering) degrees in Computer Engineering. She is a member of IEEE, IEEE (WIE) and ACM and a life member of IACSIT, IAENG, ISTE and CSI. She has nearly 75+ publications in International Conferences (with best paper awards), International Referred Journals (Scopus, Thomson Reuters, SCI, SCIE) and even Reputed Computer/IT Magazines. Her research interests include Intelligent Systems, Text Mining, Sentiment Analysis, Recommender Systems, Social & Semantic Web, User-generated Big-data, Big data analytics and . She has authored a monograph on 'Web Technology' with Chapman & Hall, CRC Press & authored book-chapters within her domain of interest. Google Scholar: Citations: 426, h-index:9

Inhalt

Industry: A sustainable, intelligent, innovative, internet-of-things Industry.- Development of Industry 4.0.- Sustainability development in Industry 4.0.- Big Data and Analytics in Industry 4.0.- Ubiquitous Computing for Industry 4.0.- Cloud Computing in Industry 4.0.- Modelling and Simulation for Industry 4.0.- Augmented Reality and Industry 4.0.- Robotics and Industry 4.0.- Additive Manufacturing: Concept and Technologies.- Challenges within the Industry 4.0 Setup.