Recent Advances in Industrial Production
Select Proceedings of ICEM 2020
Paperback Engels 2022 9789811652837Samenvatting
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.
Specificaties
Lezersrecensies
Inhoudsopgave
<p>Chapter 2 Sustainable additive Manufacturing Methodologies</p>
<p>Chapter 3 Frameworks, tools and techniques for Collaborative and Intelligent Networks and Decision Systems</p>
<p>Chapter 4 Tools and techniques for Collaborative and Intelligent Networks</p>
<p>Chapter 5 Tools and techniques for Collaborative and Decision Systems</p>
<p>Chapter 6 Multi-agents</p>
<p>Chapter 7 Machine learning</p>
<p>Chapter 8 Bio-inspired models and algorithms</p>
<p>Chapter 9 Negotiation and group decision making approaches</p><p>chapter 10 Multi-criteria and multi-objective models</p>
<p>Chapter 11 Uncertainty treatment</p>
<p>Chapter 12 Data normalization and data fusion methods and techniques</p>
<p>Chapter 13 Data analytics for manufacturing systems and processes</p>
<p>Chapter 14 Cloud computing and big data – Learning and data mining</p>
<p>Chapter 15 Data visualization for the digital factory</p>
<p>Chapter 16 Real time machine and process monitoring, diagnostics and prognostics</p>
<p>Chapter 17 Real-time management</p>
<p>Chapter 18 Manufacturing Execution Systems</p>
<p>Chapter 19 IOT, IIOT, Cyber-Physical systems,</p>
<p>Chapter 20 Digital twin-based applications</p>
<p>Chapter 21 Descriptive, diagnostic, predictive and prescriptive analysis for health monitoring of manufacturing systems</p>
Chapter 22 Descriptive, diagnostic, predictive and prescriptive analysis for health monitoring of manufacturing systems<p>Chapter 23 Lean and Industry4.o Integration</p>
<p>Chapter 24 Evolutionary algorithm for Optimization</p><p></p>
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