Artificial Intelligence and Industrial Applications (eBook)

Smart Operation Management

Tawfik Masrour, Anass Cherrafi, Ibtissam El Hassani (Herausgeber)

eBook Download: PDF

2020 | 1st ed. 2021
442 Seiten
Springer International Publishing (Verlag)
978-3-030-51186-9 (ISBN)

Infos

This book gathers the refereed proceedings of the Artificial Intelligence and Industrial Applications (A2IA'2020), the first installment of an annual international conference organized by the ENSAM-Meknes at Moulay Ismail University, Morocco.  

The 30 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as smart manufacturing, smart maintenance, smart supply chain management, supervised learning, unsupervised learning, reinforcement learning, graph-based and semi-supervised learning, neural networks, deep learning, planning and optimization, and other AI applications. 

The book is intended for AI experts, offering them a valuable overview of the status quo and a global outlook for the future, with many new and innovative ideas and recent important developments in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.

Dr. Tawfik Masrour is a Professor of Applied Mathematics and Artificial Intelligence at ENSAM-Meknes, Moulay Ismail University UMI, and member of the Artificial Intelligence for Engineering Sciences (AIES) Research Team and Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S). He graduated from Mohammed V University - Rabat with an M.Sc. degree in Applied Mathematics and Numerical Analysis, and from Jacques-Louis Lions Laboratory, Pierre and Marie Curie University, Paris, with an M.A.S. (DEA) in Applied Mathematics, Numerical Analysis and Computer Science. He obtained his Ph.D. in Mathematics and Informatics from the École des Ponts ParisTech (ENPC), Paris, France. His research interests include control theory and artificial intelligence.

Dr. Anass Cherrafi is an Assistant Professor at the Department of Industrial Engineering, ENSAM-Meknes, Moulay Ismail University UMI, Morocco. Holding a Ph.D. in Industrial Engineering, he has seven years of industry and teaching experience. He has published a number of articles in leading international journals and conference proceedings, and has been a Guest Editor for special issues of various international journals. His research interests include Industry 4.0, green manufacturing, Lean Six Sigma, integrated management systems and supply chain management.

Dr. Ibtissam El Hassani is a Professor of Industrial and Logistic Engineering at ENSAM-Meknes, Moulay Ismail University UMI, Morocco and Head of the Artificial Intelligence for Engineering Sciences (AIES) Research Team. She graduated as an Industrial Engineer before completing her Ph.D. in Computer Engineering & Systems Supervision at the Center for Doctoral Studies, Moulay Ismail University. Her research interests include applications of artificial intelligence in industrial engineering, especially in lean manufacturing, Six Sigma and continuous improvement, production systems, quality management systems, health and security at work, supply chain management and industrial risk management.

Produkt-Details

• Erscheint lt. Verlag: 1.9.2020
• Reihe/Serie: Advances in Intelligent Systems and Computing
• Reihe/Serie: Advances in Intelligent Systems and Computing
• Zusatzinfo: XX, 442 p. 225 illus., 184 illus. in color.
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Bauwesen
• Schlagworte: A2IA • A2IA2020 • Industry 4.0 • Intelligent Decision-support systems • Key Performance Indicators • Lean Six Sigma 4.0 • Product Life-Cycle Management PLM • Smart Maintenance • smart manufacturing • Smart Operation Systems • Smart supply chain management
• ISBN-10: 3-030-51186-3 / 3030511863
• ISBN-13: 978-3-030-51186-9 / 9783030511869