Scheduling in Industry 4.0 and Cloud Manufacturing

1. Front Matter

   Pages i-vi

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2. Introduction to Scheduling in Industry 4.0 and Cloud Manufacturing Systems

   • Dmitry Ivanov, Boris Sokolov, Alexandre Dolgui

   Pages 1-9

3. Proactive Scheduling and Reactive Real-Time Control in Industry 4.0

   • Dmitry Ivanov, Boris Sokolov, Frank Werner, Alexandre Dolgui

   Pages 11-37

4. Using a Digital Twin for Production Planning and Control in Industry 4.0

   • Ícaro Romolo Sousa Agostino, Eike Broda, Enzo M. Frazzon, Michael Freitag

   Pages 39-60

5. Adaptive Scheduling in the Era of Cloud Manufacturing

   • D. Mourtzis

   Pages 61-85

6. Cloud Material Handling Systems: Conceptual Model and Cloud-Based Scheduling of Handling Activities

   • Fabio Sgarbossa, Mirco Peron, Giuseppe Fragapane

   Pages 87-101

7. Coupling Robust Optimization and Model-Checking Techniques for Robust Scheduling in the Context of Industry 4.0

   • Pascale Marangé, David Lemoine, Alexis Aubry, Sara Himmiche, Sylvie Norre, Christelle Bloch et al.

   Pages 103-124

8. Integrated Scheduling of Information Services and Logistics Flows in the Omnichannel System

   • Dmitry Ivanov, Boris Sokolov

   Pages 125-140

9. Human-Oriented Assembly Line Balancing and Sequencing Model in the Industry 4.0 Era

   • Daria Battini, Serena Finco, Fabio Sgarbossa

   Pages 141-165

10. A Generic Decision Support Tool to Planning and Assignment Problems: Industrial Applications and Industry 4.0

    • Nathalie Klement, Cristóvão Silva

    Pages 167-192

11. The Manufacturing Planning and Control System: A Journey Towards the New Perspectives in Industry 4.0 Architectures

    • Andrea Grassi, Guido Guizzi, Liberatina Carmela Santillo, Silvestro Vespoli

    Pages 193-216

12. Multi-Criteria Single Batch Machine Scheduling Under Time-of-Use Tariffs

    • Junheng Cheng, Feng Chu, Peng Wu

    Pages 217-237

13. Service Composition in Cloud Manufacturing: A DQN-Based Approach

    • Haifeng Zhang, Yongkui Liu, Huagang Liang, Lihui Wang, Lin Zhang

    Pages 239-254

14. The Tolerance Scheduling Problem in a Single Machine Case

    • Daniel Alejandro Rossit, Fernando Tohmé, Gonzalo Mejía Delgadillo

    Pages 255-273

This book has resulted from the activities of IFAC TC 5.2 “Manufacturing Modelling for Management and Control”. The book offers an introduction and advanced techniques of scheduling applications to cloud manufacturing and Industry 4.0 systems for larger audience. This book uncovers fundamental principles and recent developments in the theory and application of scheduling methodology to cloud manufacturing and Industry 4.0.


The purpose of this book is to present recent developments in scheduling in cloud manufacturing and Industry 4.0 and to systemize these developments in new taxonomies and methodological principles to shape this new research domain. This book addresses the needs of both researchers and practitioners to uncover the challenges and opportunities of scheduling techniques’ applications to cloud manufacturing and Industry 4.0. For the first time, it comprehensively conceptualizes scheduling in cloud manufacturing and Industry 4.0 systems as a new research domain. The chapters of the book are written by the leading international experts and utilize methods of operations research, industrial engineering and computer science. Such a multi-disciplinary combination is unique and comprehensively deciphers major problem taxonomies, methodologies, and applications to scheduling in cloud manufacturing and Industry 4.0.

• Scheduling
• Optimal Control
• Industry 4.0
• Deterministic Maximum Principle
• Control Models
• Smart Manufacturing
• Supply Chain Control
• Adaptive Supply Chain Scheduling

• Saint Petersburg Institute for Informatics and Automation of the RAS (SPIIRAS), St. Petersburg, Russia

  Boris Sokolov

• Berlin School of Economics and Law, Berlin, Germany

  Dmitry Ivanov

• IMT Atlantique, LS2N—CNRS, La Chantrerie, Nantes, France

  Alexandre Dolgui

Boris Sokolov is professor and Head of Laboratory of Information Technologies in System Analysis and Modeling at Saint Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences (SPIIRAS). The research interests includes: basic and applied research in integrated modelling, simulation, and mathematical methods in scientific research, optimal control theory, and mathematical models and methods of decision-making support in complex technical-organizational systems under uncertainties and with multi-criteria, implementations of RFID technology, and mobile IT in supply chain management processes. He is (co)-author of 7 monographs and books on system analysis, decision support systems, supply chain management, and systems and control theory, and of more than 570 scientific works published in peer-reviewed academic journals.

Dmitry Ivanov is a professor of Supply Chain and Operations Management at the Berlin School of Economics and Law (BSEL). Hisresearch explores structural dynamics and control in complex networks, with applications to supply chain resilience, scheduling in Industry 4.0 systems, supply chain simulation, risk analytics and digital supply chain twins. He is co-author of structural dynamics control methods for supply chain management. His research record includes around 330 publications, with 78 papers in prestigious, peer-reviewed academic journals and the leading books “Global Supply Chain and Operations Management,” "Structural Dynamics and Resilience in Supply Chain Risk Management“ and "Handbook of Ripple Effects in the Supply Chain“ published with Springer. He is Editor of International Journal of Integrated Supply Management and Associate editor of International Journal of Production Research and International Journal of Systems Sciences.

Alexandre Dolgui  is a Distinguished Professor (Full Professor of Exceptional Class in France) and the Head of Automation, Production, and Computer Sciences Department at the IMT Atlantique (former Ecole des Mines de Nantes and Telecom Bretagne), France. His research focuses on manufacturing line design, production planning, and supply chain optimization. His research is mainly based on exact mathematical programming methods and their intelligent coupling with heuristics and metaheuristics algorithms. He is the co-author of 5 books, the co-editor of 19 books for conference proceedings, the author of 236 refereed journal papers, 27 editorials, and 32 book chapters, as well as the author of over 400 papers written for conference proceedings. He is the Editor-in-Chief of the International Journal of Production Research and an Area Editor of Computers & Industrial Engineering.

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