Del i serien Woodhead Publishing in Mechanical Engineering

Digital Transformation in Industrial Production Management Techniques and Systems

Perspectives from Industry 4.0 and Beyond

Häftad, Engelska, 2027

AvAjay Kumar,Parveen Kumar,J. Paulo Davim

3 599 kr

Kommande

Intelligent industrial production management techniques enhance industrial services, products, and quality, contributing to societal improvements. This complex system involves resources, capital, people, machines, and information, all of which rapidly evolve with technological advancements. To meet market demands and global competitiveness, production management must integrate global resources and achieve resource efficiency, transitioning from traditional to digital methods. Digital transformation utilises 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 optimise industrial systems and promote green production, reducing carbon emissions and improving quality of life. 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, emphasising human-machine collaboration for resource efficiency and resilience. It is organised into three sections: fundamental strategies, Industry 4.0 trends, and applications in new product development and smart manufacturing, addressing challenges and opportunities in data-driven production management.

Comprehensive overview of Industry 4.0 approaches in production management, emphasising intelligent tools and algorithms for sustainable practices across various sectors
Explores fundamental concepts, opportunities, challenges, and frameworks in intelligent industrial production management, supported by experimental and numerical data
Focuses on contemporary methodologies for sustainable and green production models applicable to diverse industries

Produktinformation

Utgivningsdatum2027-01-01
Mått152 x 229 x undefined mm
FormatHäftad
SpråkEngelska
SerieWoodhead Publishing in Mechanical Engineering
Antal sidor630
FörlagElsevier Science
ISBN9780443485473

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

Section I: Intelligent Industrial Production Management Techniques and Systems: Fundamental Strategies1. Major Technologies of Industry 4.0 in Industrial Production Management Techniques2. Bibliometric analysis of Industry 4.0 enabled Intelligent Production Management Systems3. Transformation of Production Management Systems from 1.0 to 4.04. Elements of Production Management Techniques5. Intelligent design of Production Management Facilities6. Intelligent Industrial Production Planning Control and Scheduling7. Optimization of Production Management Methods by numerical/experimental and Computational/Simulation ApproachesSection II: Industry 4.0 Technologies Enabling Intelligence in Production Management Techniques8. Developing a framework for Artificial Intelligence implementation In Intelligent Production Management9. Digital Twin Technology Driven Production Management Methods10. Human-Machine Interaction in Sustainable Production Management Systems11. Augmented/Virtual/Mixed Reality in Production Engineering and Management12. Cyber-Physical Systems in Production Management13. Big Data Analytics in Production Management14. Role of Blockchain Technologies in Production Management Techniques15. Machine Learning (ML) approaches in production management16. Industrial Internet of Things (IIoT) in Production Management Strategies17. Role of cloud computing in intelligent production management techniques18. Integration of 3D Printing Technologies with Intelligent Production Management Techniques19. Information and Communication Technologies (ICT) Production Management ServicesSection III: Applications of Data Driven Industrial Production Management Techniques20. Role of Intelligent Production Management in New Product Development21. Application of Intelligence of Production Management Techniques in Smart Manufacturing22. Applications of Intelligent Production Management Techniques in Operational Departments of Manufacturing Industries23. Current Challenges and Future Direction in implementation of Intelligent Production Methods