Advanced Architectures and Techniques for Smart Industry : Engineering, Deploying, and Managing Cyber-Physical Production Systems (Computational Intelligence Methods and Applications)

Masmoudi, Malek (EDT)/ Kamach, Oulaid (EDT)/ Darmoul, Saber (EDT)

Springer Verlag, Singapore（2026/04発売）

• 製本 Hardcover:ハードカバー版
• 言語 ENG
• 商品コード 9789819552702

Full Description

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.

Contents

Chapter 1. Cyber-Physical and Human Systems: A Review of Concept, Terminology and Human Roles.- Chapter 2. Framework and Requirements for Digital Twin-Based Smart Manufacturing.- Chapter 3. Human-Centred Digital Twin: Concepts, Methods and Technologies.- Chapter 4. A Literature Analysis of Mutual Influences between Industry 4.0 and 5S Continual Improvement Tool in Different Digitalization Contexts.- Chapter 5. Digitization to Support Lean and Optimization in High-Mix Low-volume Environment.- Chapter 6. Two Level Integration for Data-driven Multi-operations Supply Chain System Optimization.- Chapter 7. Decision-making in General Cargo Port in the Era of Industry 4.0.- Chapter 8. Toward a Simulation-based Decision Support System to Predict and Cope with Mass Influx of Calls.- Chapter 9. Technician 5.0: A Hybrid Framework Integrating Chatbot, Digital Twin, and Machine Learning for Human-Centric Predictive Maintenance in Industry 5.0.- Chapter 10. Machine and Deep Learning Approaches for Advanced Process Monitoring in Quality 5.0.- Chapter 11. Contribution of AI in Product Continuous Quality Management in Industry 4.0/5.0.