Industry 4.0: Managing The Digital Transformation

• Κύριοι συγγραφείς: Ustundag, Alp (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Cevikcan, Emre (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Springer Series in Advanced Manufacturing,
• Θέματα: Manufactures.; Production management.; Computer-aided engineering.; Engineering economics.; Engineering economy.; Information technology.; Business-Data processing.; Manufacturing, Machines, Tools, Processes.; Production.; Computer-Aided Engineering (CAD, CAE) and Design.; Engineering Economics, Organization, Logistics, Marketing.; IT in Business.

 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. 

 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.