Evaluation of Dispatching Strategies for the Optimization of a Real-World Production Plant

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@InProceedings{Kofler:2009:LINDI,

• author = "Monika Kofler and Andreas Beham and Stefan Wagner and Michael Affenzeller",
• title = "Evaluation of Dispatching Strategies for the Optimization of a Real-World Production Plant",
• booktitle = "2nd Symposium on International Logistics and Industrial Informatics, LINDI 2009",
• year = "2009",
• month = sep,
• pages = "1--6",
• keywords = "genetic algorithms, genetic programming, dispatching strategies, long-term stability, optimization, production control system, production planning, real-world production plant, reusability, dispatching, industrial plants, optimisation, production planning",
• DOI = "doi:10.1109/LINDI.2009.5258765",
• abstract = "In this paper we present three optimization approaches for a real-world production planning problem, which are based on dispatching. In particular, we employ genetic algorithms to select one rule per machine or machine group from a set of simple dispatching rules and compare the results with a global, composite rule as generated with genetic programming. Reusability and long-term stability of these rules is also investigated on four snapshots extracted from the production planning and control system of our project partner over a time frame of several months.",
• notes = "Also known as \cite{5258765}",

}

Genetic Programming entries for Monika Kofler Andreas Beham Stefan Wagner Michael Affenzeller

Citations