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industry 4.0

GeneTech 知识引擎共收录 163 篇相关科研实体，横跨 15 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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• Enhancing IIoT Security Using Digital Twins in Industry 5.0: A Systematic Literature Review
  2026 · 数字孪生 · The rapid advancement of Industry 5.0 and the concurrent growth of the Industrial Internet of Things (IIoT) present significant cybersecurity challenges necessitating advanced solutions. Digital Twin technology, which en…
• Integrated Quality Management Model for Teaching Factory in the Era of Industrial Revolution 4.0 : A Systematic Literature Review
  2026 · 数字孪生 · Abstract Aim This systematic literature review synthesizes research on quality management models for Teaching Factories (TeFa) in the Industrial Revolution 4.0 (IR 4.0) era, aiming to identify core components and technol…
• Role of Unified Namespace (UNS) and Digital Twins in Predictive and Adaptive Industrial Systems
  2026 · 数字孪生 · The primary focus of enhancing the efficiency of operations in the Industry 4.0 setting is Predictive and Preventive Maintenance (PPM). The paper introduces a predictive-maintenance system based on the Unified Namespace …
• Digital twin transition for intelligent and resilient industrial systems
  2026 · 数字孪生 · Digital twins (DTs) are a vital technology transforming industrial systems by linking the physical and digital realms through real-time, bidirectional data flow and intelligent analysis. This special issue of the Interna…
• Operationalizing the Industrial Metaverse: Strategies, Challenges, and Opportunities for the Sustainable Factory of the Future
  2026 · 数字孪生 · The Industrial Metaverse (IM) integrates digital twins, IoT, AI, and immersive technologies to create interconnected, data-driven production environments. While its potential for enhancing efficiency and collaboration is…
• Sustainable Manufacturing: Enabling Technologies and Emerging Research Trends—A Scoping Review
  2026 · 数字孪生 · The current industrial production model faces major environmental, economic, and social challenges due to resource depletion, increasing energy demand, and climate change. Manufacturing significantly contributes to emiss…
• Digital modeling of production processes based on Digital Twin technology in the conditions of transition to Industry 5.0
  2026 · 数字孪生 · The digital transformation of industry, which is taking place in the context of the transition to the Industry 5.0 concept, highlights the need to implement modern digital technologies to increase the efficiency of produ…
• Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026)
  2026 · 数字孪生 · The International Conference on Future Chains Intelligence, Innovation & Integration: Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026) focuses on transforming supply chains through emerging technologies. Ce…
• Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026)
  2026 · 数字孪生 · The International Conference on Future Chains Intelligence, Innovation & Integration: Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026) focuses on transforming supply chains through emerging technologies. Ce…
• Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026)
  2026 · 数字孪生 · The International Conference on Future Chains Intelligence, Innovation & Integration: Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026) focuses on transforming supply chains through emerging technologies. Ce…
• Synergy between Digital Twin and Cyber-Physical System in Manufacturing
  2026 · 数字孪生 · The rapid digitalization of manufacturing systems has led to the emergence of Cyber-Physical Systems (CPS) and Digital Twins (DTs) as key enablers of the Industry 4.0 revolution. While CPS provides real-time sensing, com…
• Leveraging Blockchain and Digital Twins for Low-Carbon, Circular Supply Chains: Evidence from the Moroccan Manufacturing Sector
  2026 · 数字孪生 · As global supply chains face increasing pressure to reconcile economic efficiency, environmental responsibility, and ethical transparency, emerging digital technologies offer unprecedented opportunities for sustainable t…
• Autonomous Smart Manufacturing Systems in the Era of Industry 5.0: A Systematic Review of AI-Driven Decision Intelligence and Industrial Optimization
  2026 · 数字孪生 · The emergence of Industry 5.0 has accelerated the transformation of manufacturing industries toward autonomous, intelligent, and human-centric production systems. Smart manufacturing technologies increasingly integrate A…
• Integration of Digital Twin Technology and Industry 4.0 Principles for Real-Time Structural Health Monitoring in Smart Manufacturing Facilities
  2026 · 数字孪生 · Within Industry 4.0 manufacturing environments, Structural Health Monitoring (SHM) is recognized as mission-critical; nevertheless, extant Digital Twin (DT) implementations seldom achieve deep fusion with the production …
• 2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
  2026 · 数字孪生 · The evolution of artificial intelligence (AI) and machine learning (ML) is reshaping smart manufacturing by providing new capabilities for efficiency, adaptability, and autonomy across industrial value chains. However, t…
• A Critical Review Exploring the Interplay Between Advanced Technologies and Innovation Ecosystems in Industry 5.0 Scenario
  2026 · 数字孪生 · ABSTRACT Unlike Industry 4.0, which primarily emphasized automation and efficiency, Industry 5.0 marks a transition toward human‐centricity, sustainability, and resilience. One of the key challenges for Industry 5.0 inno…
• Industry 5.0 and digital transformation for sustainable textile and manufacturing systems
  2026 · 数字孪生 · The rapid evolution of digital technologies has significantly transformed modern manufacturing systems, creating new opportunities for improving productivity, sustainability, and industrial resilience. In this context, I…
• Computer Vision Integration for Automated Piece Positioning in an Industry 4.0 Setup
  2026 · 机器人零部件 · This paper presents the design and development of an alternative, cost-effective automated piece positioning system, specifically tailored for Small and Medium-sized Enterprises (SMEs), which integrates computer vision w…
• Digital Technologies in the Sustainable Design and Development of Textiles and Clothing—A Literature Review
  2025 · AI 安全与对齐 · This paper examines the digital transformation of the textile and fashion industry, focusing on the alignment with sustainability principles through the integration of Industry 4.0 technologies. The introduction highligh…
• Data issues in industrial AI systems: A meta-review and research strategy
  2025 · AI 安全与对齐 · In the era of Industry 4.0, artificial intelligence (AI) is assumed to play an increasingly pivotal role within industrial systems. Despite the recent trend within various industries to adopt AI, the actual adoption of A…
• From Industry 4.0 to 5.0: leveraging AI and IoT for sustainable and human-centric operations
  2025 · AI 安全与对齐 · Purpose This study investigates the transition from Industry 4.0 to Industry 5.0, focusing on the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) to support human-cent…
• From Skilled Workers to Smart Talent: AI-Driven Workforce Transformation in the Construction Industry
  2025 · AI 安全与对齐 · Workforce transformation is one of the most pressing challenges in the AI-driven construction industry, as traditional skilled labour roles are rapidly evolving into more interdisciplinary, digitally enabled positions. T…
• Enabling circularity in construction: A technology-phase alignment of construction 4.0 and circular economy principles
  2025 · AI 安全与对齐 · Integrating Construction 4.0 technologies—the construction-specific application of Industry 4.0—with circular economy (CE) principles presents a transformative opportunity for the construction sector to enhance sustainab…
• Toward the Theoretical Foundations of Industry 6.0: A Framework for AI-Driven Decentralized Manufacturing Control
  2025 · AI 安全与对齐 · This study advances toward establishing the theoretical foundations of Industry 6.0 by developing a comprehensive framework that integrates artificial intelligence (AI), decentralized control systems, and cyber–physical …
• Transformative Impact of AI and Digital Technologies on the FinTech Industry: A Comprehensive Review
  2025 · AI 安全与对齐 · This paper examines the impact of artificial intelligence (AI) and digital technologies on the financial technology (FinTech) industry and demonstrates how AI- enabled strategies are increasing the ability of businesses …
• Rewiring Sustainability: How Digital Transformation and Fintech Innovation Reshape Environmental Trajectories in the Industry 4.0 Era
  2025 · 数字孪生 · This study investigates the long-run impact of digital transformation and fintech innovation on environmental sustainability across OECD countries from 1999 to 2024. Drawing on a novel empirical framework that integrates…
• Digital Twin-Driven Operational Management Framework for Real-Time Decision-Making in Smart Factories
  2025 · 数字孪生 · To improve operational efficiency, adaptability, and sustainability in an intelligent factory within the Industry 4.0 era, decision-making must happen in real-time. This paper presents a framework that relies on Digital …
• How Can Digital Technologies Enable Circular Economy in the Construction Industry? A Review of Lifecycle Applications, Integrations, Potential, and Limitations
  2025 · 数字孪生 · The circular economy (CE) implementation in the built environment is hindered by the complexity of CE strategies and unique nature of construction industry. Digital technologies (DTs) have been explored as promising solu…
• SDN-Integrated Cloud-Edge Digital Twin Framework for Real-Time Monitoring in Additive Manufacturing
  2025 · 数字孪生 · Emerging paradigms such as cloud-edge continuum, Software-Defined Networking (SDN), and Digital Twin (DT) technologies are transforming smart manufacturing systems by enabling intelligent automation, real-time monitoring…
• A new era for digital twins: progress and industry adoption
  2025 · 数字孪生 · This systematic review provides a comprehensive evaluation of the core components and diverse applications of digital twin (DT) technology, emphasising its transformative influence across key sectors. A DT is a dynamic d…
• Barriers and Overcoming Strategies for Adopting Digital Twin in the Manufacturing Industry
  2025 · 数字孪生 · This study investigates the main barriers and overcoming strategies for the implementation of digital twin (DT) technology in the manufacturing industry. The research, conducted in a two-step process, first employed a mo…
• Digital Twins as Enablers of Sustainable and Resilient Industry 5.0 Infrastructure: A Review
  2025 · 数字孪生 · The advent of Industry 5.0 heralds a paradigm shift toward human-centric, sustainable, and resilient industrial systems. Central to this transformation is the integration of Digital Twins (DTs), virtual replicas of physi…
• Towards Human-Centric Smart Manufacturing: A Digital Twin Enabled Affective Ergonomic Framework For Adaptive Human Robot Collaboration
  2025 · 数字孪生 · The advent of Industry 4.0 has ushered in an era of Smart Manufacturing, where Human-Robot Collaboration (HRC) is pivotal for enhancing productivity and flexibility. However, existing HRC paradigms often overlook the dyn…
• Bridging the Gap to Industry 5.0
  2025 · 数字孪生 · Since 2011, the term 'Industry 4.0' (I4.0) has gained significance in industry. After a decade of digital transformation, the European Commission is now advancing towards Industry 5.0 (I5.0). The focus is on using techno…
• Industry 5.0 Digital DNA: A Genetic Code of Human-Centric Smart Manufacturing
  2025 · 数字孪生 · This study proposes and empirically assesses a bio-inspired conceptual framework, termed Digital DNA, for modeling Industry 5.0 transformation as a complementary extension of established Industry 4.0 principles with an e…
• Global Trends in Procurement and Supply Chain Analytics with Implications for Manufacturing Innovation
  2025 · 数字孪生 · The rapid digitalization of procurement and supply chain management has transformed how organizations coordinate, evaluate, and innovate within global manufacturing systems. The integration of analytics into procurement …
• Assessment of Smart Manufacturing Readiness for Small and Medium Enterprises in the Indian Automotive Sector
  2025 · 数字孪生 · This study evaluates the degree to which small and medium sized enterprises (SMEs) are prepared to adopt smart manufacturing in contrast to large enterprises, a transition that depends on the effective use of the Interne…
• Exploring the Future of Manufacturing: An Analysis of Industry 5.0’s Priorities and Perspectives
  2025 · 数字孪生 · The present study explores the enablers for the integration of Industry 5.0 principles within the automotive industry, emphasizing the transition towards human-centric, sustainable, and resilient manufacturing. This rese…
• An Industry 4.0 Framework for the Smart Production Management of Renewable Energy and Water Systems: An Application of AI, IoT, and Digital Twin Technologies
  2025 · 数字孪生 · This study develops an integrated Industry 4.0 framework for smart production management in renewable energy systems applied to water processes. The framework combines artificial intelligence, the Internet of Things, and…
• Towards AI-based Sustainable and XR-based human-centric manufacturing: Implementation of ISO 23247 for digital twins of production systems
  2025 · 数字孪生 · Since the introduction of Industry 4.0, digital twin technology has significantly evolved, laying the groundwork for a transition toward Industry 5.0 principles centered on human-centricity, sustainability, and resilienc…
• Artificial Intelligence of Things for Next-Generation Predictive Maintenance
  2025 · 边缘智能 · Industry 5.0 introduces a shift toward human-centric, sustainable, and resilient industrial ecosystems, emphasizing intelligent automation, collaboration, and adaptive operations. Predictive Maintenance (PdM) plays a cri…
• Leveraging artificial intelligence for smart production management in industry 4.0
  2025 · 具身智能 · Industry 4.0 means a paradigm shift in the manufacturing industry, which is accompanied by the combination of cyber-physical systems, the Internet of Things (IoT), and artificial intelligence (AI). Although AI holds high…
• Artificial Intelligence-Based Internet of Things for Industry 5.0
  2024 · 医疗人工智能 · In the Industry 5.0 paradigm, systems based on artificial intelligence are an important component of the Internet of Things. Industry 5.0 demonstrated the important link between intelligent systems and people in most app…
• Orchestration logics for artificial intelligence platforms: From raw data to industry‐specific applications
  2024 · 医疗人工智能 · Abstract Artificial intelligence (AI) platforms face distinct orchestration challenges in industry‐specific settings, such as the need for specialised resources, data‐sharing concerns, heterogeneous users and context‐sen…
• A comprehensive overview of industrial demand response status in Europe
  2024 · 数字孪生 · Industrial demand response (IDR) will play a crucial role in shaping future electricity systems, as it is a key element of a just energy transition and industrial development. The aim of this work is to provide an overvi…
• AI-enabled smart manufacturing boosts ecosystem value capture: The importance of servitization pathways within digital-intensive industries
  2024 · 数字孪生 · Understanding successful pathways for manufacturers to capture value within the service ecosystem framework is a recent and still nascent area of research that requires further investigation and growth. Within industrial…
• Photogrammetry for Digital Twinning Industry 4.0 (I4) Systems
  2024 · 数字孪生 · The onset of Industry 4.0 is rapidly transforming the manufacturing world through the integration of cloud computing, machine learning (ML), artificial intelligence (AI), and universal network connectivity, resulting in …
• A Review of Digital Twinning for Rotating Machinery
  2024 · 数字孪生 · This review focuses on the definitions, modalities, applications, and performance of various aspects of digital twins (DTs) in the context of transmission and industrial machinery. In this regard, the context around Indu…
• Intelligent robotic systems in Industry 4.0: A review
  2024 · 数字孪生 · As Industry 4.0 continues to transform the landscape of modern manufacturing, the integration of intelligent robotic systems has emerged as a pivotal factor in enhancing efficiency, flexibility, and overall productivity.…
• From Industry 4.0 Digital Manufacturing to Industry 5.0 Digital Society: a Roadmap Toward Human-Centric, Sustainable, and Resilient Production
  2024 · 数字孪生 · Abstract The present study addresses two critical controversies surrounding the emerging Industry 5.0 agenda. Firstly, it seeks to elucidate the driving forces behind the accelerated momentum of the Industry 5.0 agenda a…
• A Semantic Digital Twin for the Dynamic Scheduling of Industry 4.0-based Production of Precast Concrete Elements
  2024 · 数字孪生 · Precast concrete construction enhances project efficiency, sustainability, and durability by leveraging a controlled production environment that ensures high-quality outputs. Still, the sequential nature of off-site prod…
• From Food Industry 4.0 to Food Industry 5.0: Identifying technological enablers and potential future applications in the food sector
  2024 · 数字孪生 · Although several food-related fields have yet to fully grasp the speed and breadth of the fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors shows that Industry 5.0 (referrin…
• Decision Support System for Digital Twin‐based Smart Manufacturing Systems and Design in Industry 5.0
  2024 · 数字孪生 · Risk-free management is critical for achieving human-centric industrialization, as envisioned by Factory 5.0, which calls for the unification of man-machine and working environment safety, which is knowledge-oriented. Oc…
• IoT-based data mining framework for stability assessment of the laser-directed energy deposition process
  2024 · 数字孪生 · Additive manufacturing processes are prone to production errors. Specifically, the unique physical conditions of Laser-Directed Energy Deposition (DED-L) lead to unexpected process anomalies resulting in subpar part qual…
• State of the art and future directions of digital twin-enabled smart assembly automation in discrete manufacturing industries
  2024 · 数字孪生 · Digital twin (DT) technology is increasingly recognised for its potential to transform the manufacturing industry, particularly in assembly automation. By offering real-time insights and optimisation capabilities, DTs en…
• The Impact of the New Technologies and the EU Climate Objectives on the Steel Industry
  2024 · 数字孪生 · Abstract Over the last years, an ever-increasing level of automation has been observed in the steelworks. In this context, the European steel industry is committed to integrating new technologies in the production chain …
• Cobots in Smart Manufacturing and Production for Industry 5.0
  2024 · 数字孪生 · Industry 5.0 has brought the dawn of advanced human-centric and customized applications. It offers a blend of cutting-edge technologies for the welfare of mankind. The incorporation of machine learning, cyber-physical sy…
• Knowledge Graph-Based Framework to Support Human-Centered Collaborative Manufacturing in Industry 5.0
  2024 · 数字孪生 · The importance of highly monitored and analyzed processes, linked by information systems such as knowledge graphs, is growing. In addition, the integration of operators has become urgent due to their high costs and from …
• From Food Industry 4.0 to Food Industry 5.0: Identifying technological enablers and potential future applications in the food sector
  2024 · 6G 与卫星互联网 · Although several food-related fields have yet to fully grasp the speed and breadth of the fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors shows that Industry 5.0 (referrin…
• Towards Human Digital Twins to enhance workers' safety and production system resilience
  2023 · 数字孪生 · Industry 5.0 complements Industry 4.0 aiming to create a sustainable, human-centered, and resilient industry. In this context, enabling technologies, such as artificial intelligence, internet of everything, and digital t…

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