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  • Conference proceedings
  • © 2021

Artificial Intelligence and Industrial Applications

Smart Operation Management

  • Presents the latest research on artificial intelligence and industrial applications focusing on smart operation management
  • Includes the proceedings of the Artificial Intelligence & Industrial Applications (A2IA2020) conference, held in Meknes, Morocco on March 19-20, 2020
  • Written by respected experts in the field

Conference proceedings info: A2IA 2020.

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xx
  2. A Fuzzy Ontology Based Approach to Support Product Eco-Design

    • Chaimae Abadi, Imad Manssouri, Asmae Abadi
    Pages 1-13
  3. A Genetic-Based SVM Approach for Quality Data Classification

    • Wahb Zouhri, Hamideh Rostami, Lazhar Homri, Jean-Yves Dantan
    Pages 15-31
  4. Towards a Prediction Analysis in an Industrial Context

    • Ilham Battas, Ridouane Oulhiq, Hicham Behja, Laurent Deshayes
    Pages 45-57
  5. A Deep Reinforcement Learning (DRL) Decision Model for Heating Process Parameters Identification in Automotive Glass Manufacturing

    • Choumicha El Mazgualdi, Tawfik Masrour, Ibtissam El Hassani, Abdelmoula Khdoudi
    Pages 77-87
  6. Analytic Hierarchy Process (AHP) for Supply Chain 4.0 Risks Management

    • Kamar Zekhnini, Anass Cherrafi, Imane Bouhaddou, Youssef Benghabrit
    Pages 89-102
  7. A Cyber-Physical Warehouse Management System Architecture in an Industry 4.0 Context

    • Mariam Moufaddal, Asmaa Benghabrit, Imane Bouhaddou
    Pages 125-148
  8. PLM and Smart Technologies for Product and Supply Chain Design

    • Oulfa Labbi, Abdeslam Ahmadi
    Pages 149-160
  9. Production Systems Simulation Considering Non-productive Times and Human Factors

    • Ismail Taleb, Alain Etienne, Ali Siadat
    Pages 161-172
  10. Distributed and Embedded System to Control Traffic Collision Based on Artificial Intelligence

    • Tarik Hajji, Tawfik Masrour, Mohammed Ouazzani Jamil, Zakaria Iathriouan, Sanaa Faquir, Elmiloud Jaara
    Pages 173-183
  11. The Emergence and Decision Support in Complex System with Fuzzy Logic Control

    • Mohammed Chennoufi, Fatima Bendella
    Pages 185-198
  12. Robust Adaptive Fuzzy Path Tracking Control of Differential Wheeled Mobile Robot

    • Brahim Moudoud, Hicham Aissaoui, Mohammed Diany
    Pages 215-226
  13. Deep Learning Approach for Automated Guided Vehicle System

    • Mohamed Rhazzaf, Tawfik Masrour
    Pages 227-237
  14. Path Planning Using Particle Swarm Optimization and Fuzzy Logic

    • Ahmed Oultiligh, Hassan Ayad, Abdeljalil Elkari, Mostafa Mjahed
    Pages 239-251
  15. Prediction of Robot Localization States Using Hidden Markov Models

    • Jaouad Boudnaya, Amine Haytoumi, Omar Eddayer, Abdelhak Mkhida
    Pages 253-262
  16. A New Approach for Multi-agent Reinforcement Learning

    • Elmehdi Amhraoui, Tawfik Masrour
    Pages 263-275

Other Volumes

  1. Artificial Intelligence and Industrial Applications

About this book

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.

Editors and Affiliations

  • Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Mathematics and Computer Science, Artificial Intelligence for Engineering Sciences Team (IASI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

    Tawfik Masrour

  • Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Industrial and Manufacturing Engineering, Modeling and Optimization of Industrial Systems Team (MOSI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

    Anass Cherrafi

  • Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Industrial and Manufacturing Engineering, Artificial Intelligence for Engineering Sciences Team (IASI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

    Ibtissam El Hassani

About the editors

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 managementsystems, health and security at work, supply chain management and industrial risk management.

Bibliographic Information

Buy it now

Buying options

eBook USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access