Digital Transformation in Industrial Production Management Techniques and Systems

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