Fazle Baki – författare

This comprehensive textbook provides an essential guide to the revolutionary transition from Industry 4.0 to Industry 5.0, focusing on the integration of human-centric design with intelligent manufacturing systems. As manufacturing evolves toward more sustainable, resilient, and collaborative frameworks, this text offers students and professionals a thorough understanding of how data-driven systems, cyber-physical technologies, and human-cobot collaboration are reshaping the industrial landscape.Intelligent Manufacturing Systems and Industry 5.0: Principles, Applications, and Implementation systematically examines multi-dimensional resource integration, analyzing the flow of material, energy, information, and liquidity within intelligent manufacturing environments. Key features include detailed coverage of mathematical frameworks for productivity optimization, comprehensive analysis of digital supply chain management and enterprise resource planning systems, and practical applications of planning and scheduling methodologies in Industry 5.0 contexts.Written for advanced undergraduate and graduate students in industrial engineering, manufacturing engineering, and related disciplines, this textbook serves as an invaluable resource for both academic coursework and professional development. The content is designed to be comprehensive yet accessible, making complex concepts in intelligent manufacturing systems understandable for students while providing the depth necessary for researchers and industry professionals seeking to implement Industry 5.0 principles in real-world manufacturing environments.A complete support package including a solutions manual, PowerPoint slides, review questions, and supplementary figure slides is available to qualified instructors upon adoption.

This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.

This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations.

The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.