Digital Transformation in Industrial Production Management Techniques and Systems

Perspectives from Industry 4.0 and Beyond
Erscheinungsjahr 2027
ISBN: 978-0-443-48547-3
Verlag: Elsevier Science

Buch, Englisch, 630 Seiten, Format (B × H): 152 mm x 229 mm

Digital Transformation in Industrial Production Management Techniques and Systems: Perspectives from Industry 4.0 and Beyond explores how Industry 4.0 facilitates digital transformation in production management, emphasizing human-machine collaboration for resource efficiency and resilience. Sections cover fundamental strategies, Industry 4.0 trends, and applications in new product development and smart manufacturing while also addressing challenges and opportunities in data-driven production management. Specific areas of interest cover Digital transformation technologies such as artificial intelligence (AI), machine learning (ML), digital twins (DT), the Industrial Internet of Things (IIoT), big data analytics, and augmented/virtual reality (AR/VR).

These advancements optimize industrial systems and promote green production, reducing carbon emissions and improving quality of life.

Autoren/Hrsg.

Kumar, Ajay

Kumar, Parveen

Davim, J. Paulo

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
• Technische Wissenschaften Technik Allgemein Technik: Allgemeines

Inhaltsverzeichnis

Section I: Intelligent Industrial Production Management Techniques and Systems: Fundamental Strategies
1. Major Technologies of Industry 4.0 in Industrial Production Management Techniques
2. Bibliometric analysis of Industry 4.0 enabled Intelligent Production Management Systems
3. Transformation of Production Management Systems from 1.0 to 4.0
4. Elements of Production Management Techniques
5. Intelligent design of Production Management Facilities
6. Intelligent Industrial Production Planning Control and Scheduling
7. Optimization of Production Management Methods by numerical/experimental and Computational/Simulation Approaches

Section II: Industry 4.0 Technologies Enabling Intelligence in Production Management Techniques
8. Developing a framework for Artificial Intelligence implementation In Intelligent Production Management
9. Digital Twin Technology Driven Production Management Methods
10. Human-Machine Interaction in Sustainable Production Management Systems
11. Augmented/Virtual/Mixed Reality in Production Engineering and Management
12. Cyber-Physical Systems in Production Management
13. Big Data Analytics in Production Management
14. Role of Blockchain Technologies in Production Management Techniques
15. Machine Learning (ML) approaches in production management
16. Industrial Internet of Things (IIoT) in Production Management Strategies
17. Role of cloud computing in intelligent production management techniques
18. Integration of 3D Printing Technologies with Intelligent Production Management Techniques
19. Information and Communication Technologies (ICT) Production Management Services

Section III: Applications of Data Driven Industrial Production Management Techniques
20. Role of Intelligent Production Management in New Product Development
21. Application of Intelligence of Production Management Techniques in Smart Manufacturing
22. Applications of Intelligent Production Management Techniques in Operational Departments of Manufacturing Industries
23. Current Challenges and Future Direction in implementation of Intelligent Production Methods

Über Autor(innen)

Kumar, Parveen
Parveen Kumar is an Assistant Professor in the Department of Mechanical Engineering, at Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. His areas of research include advanced materials, die-less forming, additive manufacturing, CAD/CAM, and optimization techniques.

Davim, J. Paulo
Prof. (Dr.) J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal, with over 35 years of experience in Mechanical, Materials, and Industrial Engineering. He holds multiple distinguished academic titles, including a PhD in Mechanical Engineering and a DSc from London Metropolitan University. He has published over 300 books and 600 articles, with more than 36,500 citations. He is ranked among the world's top 2% scientists by Stanford University and holds leadership positions in numerous international journals, conferences, and research projects.

Kumar, Ajay
Ajay Kumar is a Professor (Research Track), Department of Mechanical Engineering, School of Core Engineering, Faculty of Science, Technology & Architecture, Manipal University Jaipur.