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Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Standard

Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness. / Pickardt, Christoph; Branke, Jürgen; Hildebrandt, Torsten et al.
Proceedings - Winter Simulation Conference. IEEE - Institute of Electrical and Electronics Engineers Inc., 2010. S. 2504-2515.

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Harvard

Pickardt, C, Branke, J, Hildebrandt, T, Heger, J & Scholz-Reiter, B 2010, Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness. in Proceedings - Winter Simulation Conference. IEEE - Institute of Electrical and Electronics Engineers Inc., S. 2504-2515, 43rd Winter Simulation Conference - WSC 2010, Baltimore, USA / Vereinigte Staaten, 05.12.10. https://doi.org/10.1109/WSC.2010.5678946

APA

Pickardt, C., Branke, J., Hildebrandt, T., Heger, J., & Scholz-Reiter, B. (2010). Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness. In Proceedings - Winter Simulation Conference (S. 2504-2515). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2010.5678946

Vancouver

Pickardt C, Branke J, Hildebrandt T, Heger J, Scholz-Reiter B. Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness. in Proceedings - Winter Simulation Conference. IEEE - Institute of Electrical and Electronics Engineers Inc. 2010. S. 2504-2515 doi: 10.1109/WSC.2010.5678946

Bibtex

@inbook{a9e212608a2f47d7bd941eebe3495b9b,
title = "Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness",
abstract = "Dispatching rules play an important role especially in semiconductor manufacturing scheduling, because these fabrication facilities are characterized 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 optimization 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 = "Engineering, Complex manufacturing systems, Dispatching rules, Metaheuristic, Semiconductor manufacturing, Weighted tardiness",
author = "Christoph Pickardt and J{\"u}rgen Branke and Torsten Hildebrandt and Jens Heger and Bernd Scholz-Reiter",
year = "2010",
doi = "10.1109/WSC.2010.5678946",
language = "English",
isbn = "978-1-4244-9866-6",
pages = "2504--2515",
booktitle = "Proceedings - Winter Simulation Conference",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "43rd Winter Simulation Conference - WSC 2010 : Integration and collaboration, WSC'10 ; Conference date: 05-12-2010 Through 08-12-2010",
url = "http://meetings2.informs.org/wordpress/wsc2020/past-conferences/",

}

RIS

TY - CHAP

T1 - Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness

AU - Pickardt, Christoph

AU - Branke, Jürgen

AU - Hildebrandt, Torsten

AU - Heger, Jens

AU - Scholz-Reiter, Bernd

N1 - Conference code: 43

PY - 2010

Y1 - 2010

N2 - Dispatching rules play an important role especially in semiconductor manufacturing scheduling, because these fabrication facilities are characterized 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 optimization 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.

AB - Dispatching rules play an important role especially in semiconductor manufacturing scheduling, because these fabrication facilities are characterized 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 optimization 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.

KW - Engineering

KW - Complex manufacturing systems

KW - Dispatching rules

KW - Metaheuristic

KW - Semiconductor manufacturing

KW - Weighted tardiness

UR - http://www.scopus.com/inward/record.url?scp=79951607461&partnerID=8YFLogxK

U2 - 10.1109/WSC.2010.5678946

DO - 10.1109/WSC.2010.5678946

M3 - Article in conference proceedings

AN - SCOPUS:79951607461

SN - 978-1-4244-9866-6

SP - 2504

EP - 2515

BT - Proceedings - Winter Simulation Conference

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 43rd Winter Simulation Conference - WSC 2010

Y2 - 5 December 2010 through 8 December 2010

ER -

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DOI