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Advanced architectures and techniques for smart industry : engineering, deploying, and managing cyber-physical production systems / Malek Masmoudi, Oulaid Kamach, Saber Darmoul, Patrick Siarry, editors
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Series:
- Computational intelligence methods and applications 2510-1773
- Computational intelligence methods and applications, 2510-1773
- Language:
- English
- Subjects (All):
- Industrial engineering--Technological innovations.
- Industrial engineering.
- Industry 4.0.
- Industry 5.0.
- Physical Description:
- 1 online resource : illustrations (some color)
- illustrations
- black and white
- color
- Place of Publication:
- Singapore : Springer, [2026]
- Summary:
- "In manufacturing contexts, Industry 4.0 and Industry 5.0 are forefront names for the concepts, technologies, practices, and skills underlying smart factories and industries of the future. Industry 5.0 extends the technological pillars of Industry 4.0 by putting more emphasis on human centricity, sustainability and resilience in the engineering (architecture, design and development), deployment (strategic/technology road mapping, business/digital transformation, and operationalization), and management (operational excellence and continual improvement) of complex cyber-physical production systems.This book contributes to bridging some key research gaps that hinder a full adoption of these trends in industry. Key topics focus on how to ensure applicability of human centricity, sustainability and resilience requirements in all three aspects related to system design, transformation, and operation, namely (1) human behaviors, skills, and competencies; (2) activities and business processes; and (3) system structure (including technology and information), behavior (including planning, monitoring, and control), and outcomes (including products and services). Case studies are provided in various chapters of the book to illustrate these key topics"-- Springer Nature Link
- Contents:
- Cyber-physical and human systems : A review of concept, terminology, and human roles / Malek Masmoudi, Milad Poursoltan, Arezoo Amanpour, Mamadou Kaba Traoré, Patrick Siarry
- Framework and requirements for digital twin-based smart manufacturing / Oulaid Kamach, Nada Ouahabi, Ahmed Chebak
- Human-centred digital twin : Concepts, methods, and technologies / Mamadou Kaba Traoré, Milad Poursoltan, Milad Zahediyami, Zeeshan Ali
- A literature analysis of mutual influences between Industry 4.0 and 5S continual improvement tool in different digitalization contexts / Saber Darmoul, Sabah Belil, Afaf Jghamou, Sana Kouki
- Digitization to support lean and optimization in high-mix low-volume environment / Malek Masmoudi, Zineb Mrabbaj, Bernard Penz, Zahir Messaoudene, Bertrand Depale
- Two-level integration for data-driven multi-operations supply chain system optimization / O. Kamach, S. Mallah, M. Masmoudi, A. Chebak, K. Kouiss
- Decision-making in general cargo port in the era of Industry 4.0 / Jean-François Audy, Tareq Abu-Aisha, Mustapha Ouhimmou
- Toward a simulation-based decision support system to predict and cope with mass influx of calls / Oussama Barakat, Kokou Laris Edjinedja, Omar Elfahim, Émilien Arnaud, Johan Cossus, Thibaut Desmettre et al.
- Technician 5.0 : A hybrid framework integrating chatbot, digital twin, and machine learning for human-centric predictive maintenance in Industry 5.0 / Malek Masmoudi, Mariya Guerroum, Hassana Mahfoud
- Machine and deep learning approaches for advanced process monitoring in Quality 5.0 / Ahmed Maged, Salah Haridy, Mohammad Shamsuzzaman, Saleh AlBaiti, Hamdi Bashir
- Contribution of AI in product continuous quality management in Industry 4.0/5.0 / Nejib Moalla, Hervé Panetto
- Notes:
- Includes bibliographical references
- Online resource; title from PDF title page (Springer Nature Link, viewed September, 2026).
- Other Format:
- Print version: Advanced architectures and techniques for smart industry
- ISBN:
- 9789819552719
- 9819552710
- OCLC:
- 1612045653
- Access Restriction:
- Restricted for use by site license
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