Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@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