Industry 4.0: Managing The Digital Transformation

1. Auflage 2018
ISBN: 978-3-319-57869-9
Verlag: Springer International Publishing

Buch, Englisch, 286 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 5797 g

Reihe: Springer Series in Advanced Manufacturing

This book provides a comprehensive guide to Industry 4.0 applications, not only introducing implementation aspects but also proposing a conceptual framework with respect to the design principles. In addition, it discusses the effects of Industry 4.0, which are reflected in new business models and workforce transformation. The book then examines the key technological advances that form the pillars of Industry 4.0 and explores their potential technical and economic benefits using examples of real-world applications. The changing dynamics of global production, such as more complex and automated processes, high-level competitiveness and emerging technologies, have paved the way for a new generation of goods, products and services. Moreover, manufacturers are increasingly realizing the value of the data that their processes and products generate. Such trends are transforming manufacturing industry to the next generation, namely Industry 4.0, which is based on the integration of information and communication technologies and industrial technology.The book provides a conceptual framework and roadmap for decision-makers for this transformation

Zielgruppe

Research

Autoren/Hrsg.

Cevikcan, Emre

Ustundag, Alp

Fachgebiete

• Technische Wissenschaften Technik Allgemein Betriebswirtschaft für Ingenieure
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Inhaltsverzeichnis

Conceptual Framework for Industry 4.0.- Economic Perspectives for Industry 4.0 Transformation.- Smart Product and Business Models.- Lean and Autonomous Production Systems for Industry 4.0.- Workforce Transformation with Industry 4.0 Era.- Talent Development for Industry 4.0.- Assessment for Industry 4.0 Readiness.- Industry 4.0 Roadmap.- Data Analytics for Production and Service Systems.- Internet of Things and New Value Proposition.- The Role of Augmented Reality in the Age of Industry 4.0.- Adaptive Robotics for Industry 4.0 Ecosystem.- Additive Manufacturing Technologies and its Potentials.- Digital Factory: Simulation for Manufacturing Processes.- Digital Traceability through  Production Value Chain.- Cybersecurity and Industry 4.0.

Über Autor(innen)

Prof. Dr. Alp Ustundag is a lecturer at Industrial Engineering Department of Istanbul Technical University (ITU) and the head of RFID Research and Test Lab. He had been responsible for establishment of Technology Transfer and Commercialization Office of ITU as an advisor to the Rector.  He worked in IT and finance industry from 2000 to 2004.  He’s also the general manager of Navimod Business Intelligence Solutions located in ITU Technopark, which is a software company focusing on data analytics and business intelligence solutions.  He has conducted a lot of research and consulting projects in RFID systems, logistics and supply chain management and data analytics for major Turkish companies. His current research interests include data analytics, supply chain and logistics management, industry 4.0, innovation and technology management. He has published many papers in international journals and presented various studies at national and international conferences. 

Emre Cevikcanis currently an associate professor of Industrial Engineering Department in Istanbul Technical University. He received the BS degree in Industrial Engineering from Yildiz Technical University, the MSc degree and PhD degree in Industrial Engineering from Istanbul Technical University. He studied the scheduling of production systems for his PhD dissertation. His research has so far focused on the design of production systems (assembly lines, production cells, etc.), lean production, scheduling. He has several research papers in International Journal of Production Research, Computers and Industrial Engineering, Assembly Automation, Expert Systems with Applications, International Journal of Information Technology & Decision Making. He is currently reviewer in OMEGA, European Journal of Operational Research, International Journal of Production Research, Applied Soft Computing, Journal of Intelligent Manufacturing and Journal of Intelligent and Fuzzy Systems.