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Recent Advances in Industrial Production: Select Proceedings of Icem 2020

ISBN-13: 9789811652806 / Angielski / Twarda / 2021 / 740 str.

Rajeev Agrawal; Jinesh Kumar Jain; Vinod Singh Yadav
Recent Advances in Industrial Production: Select Proceedings of Icem 2020 Rajeev Agrawal Jinesh Kumar Jain Vinod Singh Yadav 9789811652806 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Recent Advances in Industrial Production: Select Proceedings of Icem 2020

ISBN-13: 9789811652806 / Angielski / Twarda / 2021 / 740 str.

Rajeev Agrawal; Jinesh Kumar Jain; Vinod Singh Yadav
cena 928,04 zł
(netto: 883,85 VAT:  5%)

Najniższa cena z 30 dni: 886,75 zł
Termin realizacji zamówienia:
ok. 22 dni roboczych
Bez gwarancji dostawy przed świętami

Darmowa dostawa!
inne wydania
Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Engineering (General)
Computers > Artificial Intelligence - General
Computers > Database Administration & Management
Wydawca:
Springer
Seria wydawnicza:
Lecture Notes in Mechanical Engineering
Język:
Angielski
ISBN-13:
9789811652806
Rok wydania:
2021
Wydanie:
2022
Numer serii:
000459769
Ilość stron:
740
Waga:
0.91 kg
Wymiary:
23.39 x 15.6 x 2.87
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

Chapter 1 Bibliometric and Review studies related to Industr4. And sustainability in Industry 4.0  

Chapter  2 Sustainable additive Manufacturing Methodologies

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 13 Data 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.



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