Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @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