Scheduling in Industry 4.0 and Cloud Manufacturing

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.

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