This book presents selected papers from the 1st International Conference on Industry 4.0 and Advanced Manufacturing held at the Indian Institute of Science, Bangalore and includes deliberations from stakeholders in manufacturing and Industry 4.0 on the nature, needs, challenges, opportunities, problems, and solutions in these transformational areas. Special emphasis is placed on exploring avenues for creating a vision of, and enablers for, sustainable, affordable, and human-centric Industry 4.0. The book showcases cutting edge practice, research, and educational innovation in this crucial and…mehr
This book presents selected papers from the 1st International Conference on Industry 4.0 and Advanced Manufacturing held at the Indian Institute of Science, Bangalore and includes deliberations from stakeholders in manufacturing and Industry 4.0 on the nature, needs, challenges, opportunities, problems, and solutions in these transformational areas. Special emphasis is placed on exploring avenues for creating a vision of, and enablers for, sustainable, affordable, and human-centric Industry 4.0. The book showcases cutting edge practice, research, and educational innovation in this crucial and rapidly evolving area. This book will be useful to researchers in academia and industry, and will also be useful to policymakers involved in creating ecosystems for implementation of Industry 4.0.
Amaresh Chakrabarti is a Senior Professor and current Chairman for the Centre for Product Design & Manufacturing, Indian Institute of Science (IISc), Bangalore, India. He received his B.E. in Mechanical Engineering from IIEST Shibpur India, M.E. in Mechanical Systems Design from IISc Bangalore, and Ph.D. in Engineering Design from the University of Cambridge, UK. His research interests are in synthesis, creativity, sustainability, informatics, research methodology and Industry 4.0. He has published 18 books, over 300 peer-reviewed articles, and is the series editor for Springer's book series on Design Science & Innovation. He has been granted/pending for 10 patent applications. He serves on the editorial boards of numerous prestigious journals and has been on the Advisory and Management Board of the Design Society; member of the CII National Committee on Design India; Jury for the India Design Mark; and invitee to the CII Smart Manufacturing Council India. He is an HonoraryFellow of the Institution of Engineering Designers, the peer society under the UK Royal Charter in engineering design, and TUM Ambassador Awardee from TU Munich Germany. Manish Arora is Assistant Professor at the Centre for Product Design and Manufacturing, Indian Institute of Science, Bengaluru. He obtained his Ph.D. in Applied Physics from the University of Twente, The Netherlands (2006) and B.Tech. in Chemical Engineering from Indian Institute of Technology, Delhi (2002). He has 70+ patent and research publications both in national and international level to his credit. His areas of interest include biomedical devices, co-design, collaboration, open-source in design and quality manufacturing of medical devices. He is the Principal Investigator in UTSAAH Lab, which aims at developing affordable and accessible medical technology solutions for promoting universal healthcare. He teaches courses at IISc on Mechatronics and Design of Biomedical Devices and Systems.
Inhaltsangabe
Industry 4.0-Connected Drives using OPC UA.- Conceptual Framework to Assess the Maturity and Readiness towards Industry 4.0.- Prioritizing drivers of Industry 4.0 enabling Additive Manufacturing: A Case Study.- IoT and Semantic based Manufacturing System in the era of Industry 4.0.- Towards Socio-technical Network Analysis (STNA) in the connected world of Industry 4.0 and Digital Manufacturing.- Intelligent Analytics for Factory Energy Efficiency.- Smart Multi-Material Weight Tracking Resource Bin.- A Conceptual Model for Smart Manufacturing Systems.- Casting Yield Improvement using Modeling and Simulation Technique.- Comparison of Two Different Simulation Methods for the Finite Element Analysis of Electromagnetic Forming and Perforation (EMFP) of Tubes.
Industry 4.0-Connected Drives using OPC UA.- Conceptual Framework to Assess the Maturity and Readiness towards Industry 4.0.- Prioritizing drivers of Industry 4.0 enabling Additive Manufacturing: A Case Study.- IoT and Semantic based Manufacturing System in the era of Industry 4.0.- Towards Socio-technical Network Analysis (STNA) in the connected world of Industry 4.0 and Digital Manufacturing.- Intelligent Analytics for Factory Energy Efficiency.- Smart Multi-Material Weight Tracking Resource Bin.- A Conceptual Model for Smart Manufacturing Systems.- Casting Yield Improvement using Modeling and Simulation Technique.- Comparison of Two Different Simulation Methods for the Finite Element Analysis of Electromagnetic Forming and Perforation (EMFP) of Tubes.
Industry 4.0-Connected Drives using OPC UA.- Conceptual Framework to Assess the Maturity and Readiness towards Industry 4.0.- Prioritizing drivers of Industry 4.0 enabling Additive Manufacturing: A Case Study.- IoT and Semantic based Manufacturing System in the era of Industry 4.0.- Towards Socio-technical Network Analysis (STNA) in the connected world of Industry 4.0 and Digital Manufacturing.- Intelligent Analytics for Factory Energy Efficiency.- Smart Multi-Material Weight Tracking Resource Bin.- A Conceptual Model for Smart Manufacturing Systems.- Casting Yield Improvement using Modeling and Simulation Technique.- Comparison of Two Different Simulation Methods for the Finite Element Analysis of Electromagnetic Forming and Perforation (EMFP) of Tubes.
Industry 4.0-Connected Drives using OPC UA.- Conceptual Framework to Assess the Maturity and Readiness towards Industry 4.0.- Prioritizing drivers of Industry 4.0 enabling Additive Manufacturing: A Case Study.- IoT and Semantic based Manufacturing System in the era of Industry 4.0.- Towards Socio-technical Network Analysis (STNA) in the connected world of Industry 4.0 and Digital Manufacturing.- Intelligent Analytics for Factory Energy Efficiency.- Smart Multi-Material Weight Tracking Resource Bin.- A Conceptual Model for Smart Manufacturing Systems.- Casting Yield Improvement using Modeling and Simulation Technique.- Comparison of Two Different Simulation Methods for the Finite Element Analysis of Electromagnetic Forming and Perforation (EMFP) of Tubes.
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