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.

It uncovers fundamental principles and recent developments in the theory and application of scheduling methodology to cloud manufacturing and Industry 4.0 Bridging the scheduling theory to cloud manufacturing and Industry 4.0 systems Systemizing new developments and deciphering taxonomies and methodological principles to shape the new research domain scheduling in cloud manufacturing and Industry 4.0 systems Innovative applications of scheduling in cloud manufacturing and Industry 4.0 Consideration of models with only terminal constraints, with hybrid terminal-logical constraints, and with hybrid structural-terminal-logical constraints Analysis of computational algorithms Data-driven scheduling models and analytics Unique multi-disciplinary view with utilization of operations research, industrial engineering and computer science techniques

Autorentext

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.

Inhalt
Chapter 1. Introduction to scheduling in Industry 4.0 and cloud manufacturing systems.- Chapter 2. Proactive scheduling and reactive real time control in Industry 4.0 .- Chapter 3. Using a digital-twin for production planning and control in Industry 4.0.- Chapter 4. Adaptive Scheduling in the era of Cloud Manufacturing.- Chapter 5. Cloud Material Handling Systems: conceptual model and cloud-based scheduling of handling activities.- Chapter 6. Coupling robust optimization and Model-Checking techniques for robust scheduling in the context of Industry 4.0.- Chapter 7. Integrated scheduling of information services and logistics flows in the omnichannel system.- Chapter 8. Human-oriented assembly line balancing and sequencing model in the Industry 4.0 era.- Chapter 9. A generic decision support tool to planning and assignment problems: Industrial applications & Industry 4.0.- Chapter 10. The Manufacturing Planning and Control system: a journey towards the new perspectives in Industry 4.0 architectures.- Chapter 11. Multi-criteria single batch machine scheduling under time-of-use tariffs.- Chapter 12. Service composition in cloud manufacturing: a DQN-based approach.- Chapter 13. The Tolerance Scheduling Problem in a single machine case.