Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Pickardt:2010:WSC,

• author = "Christoph Pickardt and Juergen Branke and Torsten Hildebrandt and Jens Heger and Bernd Scholz-Reiter",
• title = "Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness",
• booktitle = "Proceedings of the 2010 Winter Simulation Conference (WSC)",
• year = "2010",
• month = dec,
• pages = "2504--2515",
• abstract = "Dispatching rules play an important role especially in semiconductor manufacturing scheduling, because these fabrication facilities are characterised by high complexity and dynamics. The process of developing and adapting dispatching rules is currently a tedious, largely manual task. Coupling Genetic Programming (GP), a global optimisation meta-heuristic from the family of Evolutionary Algorithms, with a stochastic discrete event simulation of a complex manufacturing system we are able to automatically generate dispatching rules for a scenario from semiconductor manufacturing. Evolved dispatching rules clearly outperform manually developed rules from literature.",
• keywords = "genetic algorithms, genetic programming, complex manufacturing system, dispatching rule generation, evolutionary algorithms, fabrication facilities, semiconductor manufacturing scheduling, stochastic discrete event simulation, weighted tardiness minimisation, discrete event simulation, dispatching, minimisation, scheduling, semiconductor industry",
• DOI = "doi:10.1109/WSC.2010.5678946",
• ISSN = "0891-7736",
• notes = "Also known as \cite{5678946}",

}

Genetic Programming entries for Christoph Pickardt Jurgen Branke Torsten Hildebrandt Jens Heger Bernd Scholz-Reiter

Citations