Chapter 3 Frameworks, tools and techniques for Collaborative and Intelligent Networks and Decision Systems
Chapter 4 Tools and techniques for Collaborative and Intelligent Networks
Chapter 5 Tools and techniques for Collaborative and Decision Systems
Chapter 6 Multi-agents
Chapter 7 Machine learning
Chapter 8 Bio-inspired models and algorithms
Chapter 9 Negotiation and group decision making approaches
chapter 10 Multi-criteria and multi-objective models
Chapter 11 Uncertainty treatment
Chapter 12 Data normalization and data fusion methods and techniques
Chapter 13Data analytics for manufacturing systems and processes
Chapter 14 Cloud computing and big data – Learning and data mining
Chapter 15 Data visualization for the digital factory
Chapter 16 Real time machine and process monitoring, diagnostics and prognostics
Chapter 17 Real-time management
Chapter 18 Manufacturing Execution Systems
Chapter 19 IOT, IIOT, Cyber-Physical systems,
Chapter 20 Digital twin-based applications
Chapter 21 Descriptive, diagnostic, predictive and prescriptive analysis for health monitoring of manufacturing systems
Chapter 22 Descriptive, diagnostic, predictive and prescriptive analysis for health monitoring of manufacturing systems
Chapter 23 Lean and Industry4.o Integration
Chapter 24 Evolutionary algorithm for Optimization
Dr. Rajeev Agrawal is currently an associate professor at the Department of Mechanical Engineering, Malaviya National Institute of Technology Jaipur, (Rajasthan). He obtained his B.E. (Mechanical) from Govt. Engg. College,Jabalpur(M.P.) and M.E. (Prod. Engg.), Ph.D. from the MNNIT, Allahabad(U.P.) and BIT,Mesra(Ranchi) respectively. Dr. Rajeev Agrawal is having more than 20 years of Professional Experience. Dr. Rajeev Agrawal currently managing a Research projects includes engaged in Soft Computing (GA, ANN, Fuzzy) applications to Manufacturing, Modelling and Simulation of manufacturing systems, Sustainable Manufacturing, Lean Six Sigma, Supply chain Design and reconfigurable manufacturing system (RMS). He has published more than 55 papers in respected international journals and conferences. Dr. Agrawal received the Fellow of The Institution of Engineer’s (IEI), India in 2020. He is acting as an International reviewer for many peer-reviewed Journals. Currently, he is an editorial board member for the International Journal of Business and Systems Research (IJBSR).
Dr Jinesh Kumar Jain is currently working as Associate Professor at Malaviya National Institute of Technology Jaipur (MNIT) having research interests in Joining and Welding, Additive Manufacturing and Bio-fabrication, Design and Manufacturing Technology, Operation Management, Sustainable Manufacturing. He completed his PhD and M.Tech. from MNIT and B.E. from MBM Engineering College Jodhpur. He has more than twenty years of teaching, research and industrial experience, published many technical papers in journals and conference proceedings, authored number of books, chapters in reputed publications and delivered lectures in reputed institutions in India and abroad. Prior to joining MNIT, he has worked in several renowned organizations. Dr Jain is a life member of many reputed professional bodies and board member in the number of Indian universities. Dr Jain successfully guided many M.Tech dissertations and presently guiding many doctoral and masters scholars. He successfully organized many short term courses and faculty development programmes to impart, encourage the young fellows to proceed by sharing knowledge and experiences from eminent researchers.
Dr. Vinod Singh Yadav is currently an Assistant Professor at the Department of Mechanical Engineering, National Institute of Technology Uttarakhand, Uttarakhand. He obtained his Bachelor of Engineering (Mechanical Engineering) from University of Rajasthan, and M.Tech. (Energy Engineering) & Ph.D. from Malaviya National Institute of Technology, Jaipur. His major interest of research areas are Alternate Fuels in IC Engines, Renewable Energy Technologies, Thermal Storage techniques and their applications. He has published more than 35 research papers in reputed Journals, International Conferences. He is the author of 05 text and reference books. He is also Reviewer of more than 05 SCI Elsevier Journals. He is Technical Editor of Journal of Automotive Mechanical & Aerospace Engineering Research and Consulting Editor of Hon. Editorial Board Member recognized by Innovative Scientific Research Professional Malaysia.
Dr. Vijay Kumar Manupati is currently working as an Assistant Professor in the Department of Mechanical Engineering, NIT Warangal. He received his Ph.D. in the Department of Industrial and Systems Engineering from the Indian Institute of Technology Kharagpur. His current research interests include Intelligent manufacturing systems, Cyber-Physical Systems, Sustainable supply chain, and Health care systems. He has published more than 80 publications which include prestigious Journals like International Journal of Production Research, Computers, and Industrial Engineering, International Journal of Advanced Manufacturing Technology, Journal of measurements, International Journal of Computer Integrated Manufacturing, etc. He is acting as an International reviewer for more than 30 peer-reviewed Journals. Currently, he is acting as an Editorial Review Board member of International Journal of Sustainable Entrepreneurship and corporate social responsibility, International Journal of Web Portals IGI Global publications. He received an Early Carrier Research Grant from Department of Science and Technology (DST) for his research work on Telefacturing Systems. He is a member of the Institute of Industrial and Systems Engineering (IISE), Institute of Engineers (IEI) India, Life member of International Association of Engineers, US, and also acting as a technical committee member of various International conferences
This book presents the select proceedings of the International Conference on Evolution in Manufacturing (ICEM 2020), and examines a range of areas including evolution in manufacturing, intelligent networks, bio-Inspired models and algorithms, internet-of-things, and cyber manufacturing. This book intends to provide a contribution to the domain of collaborative and intelligent networks and systems to fill the gap in theories and practical applications through suitable methods and solutions applicable to a wide range of instances. Various topics covered include broad range of research challenges in the fields of artificial intelligence and addressing current and future trends in industry 4.0 oriented scenario, data analytics and big data, operation and manufacturing management. The book will be a valuable reference for beginners, researchers and professionals interested in artificial intelligence in engineering and production management and allied fields.