Scheduling in Industry 4.0 and Cloud Manufacturing

Detalles Bibliográficos
Autor Corporativo:	SpringerLink (Online service)
Outros autores:	Sokolov, Boris (Editor), Ivanov, Dmitry (Editor), Dolgui, Alexandre (Editor)
Summary:	VI, 273 p. 77 illus., 47 illus. in color. text
Idioma:	inglés
Publicado:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edición:	1st ed. 2020.
Series:	International Series in Operations Research & Management Science, 289
Subjects:	Operations research. Industrial engineering. Production engineering. Business logistics. Operations Research and Decision Theory. Industrial and Production Engineering. Supply Chain Management.
Acceso en liña:	https://doi.org/10.1007/978-3-030-43177-8
Formato:	Electrónico eBook

Table of Contents:

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.

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