A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0
Berlin School of Economics and Law · Centre National de la Recherche Scientifique · +5 more institutions
Abstract
Smart factories Industry 4.0 on the basis of collaborative cyber-physical systems represents a future form of industrial networks. Supply chains in such networks have dynamic structures which evolve over time. In these settings, short-term supply chain scheduling in smart factories Industry 4.0 is challenged by temporal machine structures, different processing speed at parallel machines and dynamic job arrivals. In this study, for the first time, a dynamic model and algorithm for short-term supply chain scheduling in smart factories Industry 4.0 is presented. The peculiarity of the considered problem is the simultaneous consideration of both machine structure selection and job assignments. The scheduling…
Citation impact
- FWCI
- 60.47
- Percentile
- 100%
- References
- 65
Authors
5- DIDmitry IvanovCorresponding
Berlin School of Economics and Law
- ADAlexandre Dolgui
Centre National de la Recherche Scientifique, Mines Saint-Étienne
- BSBoris Sokolov
ITMO University, St. Petersburg Institute for Informatics and Automation
- FWFrank Werner
Otto-von-Guericke University Magdeburg
- МІМарина Іванова
Chemnitz University of Technology
Topics & keywords
- Scheduling (production processes)
- Industry 4.0
- Supply chain
- Computer science
- Dynamic priority scheduling
- Job shop scheduling
- Factory (object-oriented programming)
- Industrial engineering
- Industry, innovation and infrastructure