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Coupling robust optimization and Model-Checking techniques for robust scheduling in the context of Industry 4.0
- Source :
- Scheduling in Industry 4.0 and Cloud Manufacturing, Boris Sokolov and Dmitry Ivanov and Alexandre Dolgui. Scheduling in Industry 4.0 and Cloud Manufacturing, 289, Springer International Publishing, 2020, International Series in Operations Research & Management Science, 978-3-030-43176-1. ⟨10.1007/978-3-030-43177-8_6⟩, International Series in Operations Research & Management Science ISBN: 9783030431761
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- International audience; This chapter presents a generic methodology when considering robustness in production systems of Industry 4. It is the first milestone for coupling Operations Research models for robust optimization and Discrete Event Systems models and tools for property checking. The idea is to iteratively call Operations Research and Discrete Event Systems Models for converging towards a solution with the required robustness level defined by the decision-maker.
- Subjects :
- Model checking
0209 industrial biotechnology
Mathematical optimization
020901 industrial engineering & automation
Industry 4.0
Robustness (computer science)
Computer science
0202 electrical engineering, electronic engineering, information engineering
Robust optimization
020207 software engineering
02 engineering and technology
[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-43176-1
- ISBNs :
- 9783030431761
- Database :
- OpenAIRE
- Journal :
- Scheduling in Industry 4.0 and Cloud Manufacturing, Boris Sokolov and Dmitry Ivanov and Alexandre Dolgui. Scheduling in Industry 4.0 and Cloud Manufacturing, 289, Springer International Publishing, 2020, International Series in Operations Research & Management Science, 978-3-030-43176-1. ⟨10.1007/978-3-030-43177-8_6⟩, International Series in Operations Research & Management Science ISBN: 9783030431761
- Accession number :
- edsair.doi.dedup.....9c696f0a87011100283ec9c035d50b40
- Full Text :
- https://doi.org/10.1007/978-3-030-43177-8_6⟩