Dynamic scheduling of manufacturing systems using machine learning: An updated review

@article{Priore2014DynamicSO,
  title={Dynamic scheduling of manufacturing systems using machine learning: An updated review},
  author={P. Priore and A. G{\'o}mez and R. Pino and R. Rosillo},
  journal={Artificial Intelligence for Engineering Design, Analysis and Manufacturing},
  year={2014},
  volume={28},
  pages={83 - 97}
}
  • P. Priore, A. Gómez, +1 author R. Rosillo
  • Published 2014
  • Computer Science
  • Artificial Intelligence for Engineering Design, Analysis and Manufacturing
  • A common way of dynamically scheduling jobs in a manufacturing system is by implementing dispatching rules. [...] Key Method Analyzing the previous performance of the system (training examples) by means of this technique, knowledge is obtained that can be used to decide which is the most appropriate dispatching rule at each moment in time. In this paper, a literature review of the main machine learning based scheduling approaches from the last decade is presented.Expand Abstract
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