Cloud Manufacturing: Distributed Computing Technologies for Global and Sustainable Manufacturing - Springer Series in Advanced Manufacturing 2013 edition

Marc Notes: First published 2013.; Includes bibliographical references and index.; Here is a new paradigm for scalable, sustainable, globally distributed manufacturing systems. The title covers adoption of cloud computing technology by manufacturers and a new method for streaming 3-D design and manufacturing data. Table of Contents: 1. ICMS: A Cloud-based Manufacturing System.- 2 A Distributed Selective Disassembly Planning Service for Waste Electrical and Electronic Equipment with Case Studies on Liquid Crystal Display.- 3. Cloud Machining Community: a Method to Use Socialized Production Resources for Outsourcing Machining Processes and Parts.- 4. Factors Affecting Cloud Technology Adoption: Potential User s Perspective.- 5. Manufacturing Paradigm Shift towards Better Sustainability.- 6. Lifecycle Sustainable Information Management for Waste Electrical and Electronic Equipment.- 7. A Streaming Technology of 3D Design and Manufacturing Visualization Information Sharing for Cloud-based Collaborative Systems.- 8. Designing by Services: A New Paradigm for Collaborative Product Development.- 9. Real-Time Work-in-progress Management for Ubiquitous Manufacturing Environment.- 10. Survey on Distributed Collaborative Engineering and Applications.- 11. Manufacturing Paradigm Shift towards Better Cloud Computing in the Military Environment: A New Model for Collaboration in the Operational Information Exchange Networks."Biographical Note: Dr Weidong Li is a Reader at the Coventry University, UK. His major research interests include digital manufacturing technologies, collaborative design and manufacturing, and manufacturing planning. In the areas, Dr Li has published 100 research papers, co-authored 3 books (Springer and World Scientific Publishers). As principal investigators or co-principal investigators, he has cooperated with a number of manufacturing OEMs and SMEs to work on various manufacturing application research through EU Framework and UK EPSRC funding. He and his team have attracted more than 2.5m research funding to the Coventry University in recent five years. Dr Jorn Mehnen is a Senior Lecturer at the Cranfield University, UK. His major research interest lies in applying advanced computing methods to manufacturing problems. Dr Mehnen has published 3 books (one with Springer Advances in Intelligent and Soft Computing. Applications of Soft Computing: from Theory to Praxis, 2009, DOI 10.1007/978-3-540-89619-7) and published more than 100 publications in journals and leading conferences. He is the principal investigator of a 2m project in Additive Layer Manufacturing and the co-founder of the new EPSRC Centre for Innovative Manufacturing in Through-life Engineering Services at the Cranfield University."Jacket Description/Back: Global networks, which are the primary pillars of the modern manufacturing industry and supply chains, can only cope with the new challenges, requirements and demands when supported by new computing and Internet-based technologies. "Cloud Manufacturing: Distributed Computing Technologies for Global and Sustainable Manufacturing" introduces a new paradigm for scalable service-oriented sustainable and globally distributed manufacturing systems. The eleven chapters in this book provide an updated overview of the latest technological development and applications in relevant research areas. Following an introduction to the essential features of Cloud Computing, chapters cover a range of methods and applications such as the factors that actually affect adoption of the Cloud Computing technology in manufacturing companies and new geometrical simplification method to stream 3-Dimensional design and manufacturing data via the Internet. This is further supported case studies and real life data forWaste Electrical and Electronic Equipment (WEEE) remanufacturing. This compilation of up to date research and literature can be used as a textbook or reference for mechanical, manufacturing, and computer engineering graduate students and researchers for efficient utilization, deployment and development of distributed and Cloud manufacturing systems, services and applications."