Towards improved dispatching rules for complex shop floor scenarios - A genetic programming approach

Torsten Hildebrandt; Jens Heger; Bernd Scholz-Reiter

doi:10.1145/1830483.1830530

Towards improved dispatching rules for complex shop floor scenarios - A genetic programming approach

Torsten Hildebrandt^*
, Jens Heger
, Bernd Scholz-Reiter

^*Korrespondierende/r Autor/-in für diese Arbeit

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

152 Zitate (Scopus)

Abstract

Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and objectives automatic rule search mechanism are investigated. In this paper an approach using Genetic Programming (GP) is presented. The priority rules generated by GP are evaluated on dynamic job shop scenarios from literature and compared with manually developed rules yielding very promising results also interesting for Simulation Optimization in general.

Originalsprache	Englisch
Titel	Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10
Seitenumfang	8
Erscheinungsort	New York
Herausgeber (Verlag)	Association for Computing Machinery, Inc
Erscheinungsdatum	2010
Seiten	257-264
ISBN (Print)	978-1-4503-0072-8
DOIs	https://doi.org/10.1145/1830483.1830530
Publikationsstatus	Erschienen - 2010
Extern publiziert	Ja
Veranstaltung	12th Annual Genetic and Evolutionary Computation Conference - 2010 - Portland Marriott Downtown Waterfront Hotel, Portland, USA / Vereinigte Staaten Dauer: 07.07.2010 → 11.07.2010 Konferenznummer: 12 http://www.sigevo.org/gecco-2010/

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Ingenieurwissenschaften

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abstract = "Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and objectives automatic rule search mechanism are investigated. In this paper an approach using Genetic Programming (GP) is presented. The priority rules generated by GP are evaluated on dynamic job shop scenarios from literature and compared with manually developed rules yielding very promising results also interesting for Simulation Optimization in general.",

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Hildebrandt, T, Heger, J & Scholz-Reiter, B 2010, Towards improved dispatching rules for complex shop floor scenarios - A genetic programming approach. in Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10. Association for Computing Machinery, Inc, New York, S. 257-264, 12th Annual Genetic and Evolutionary Computation Conference - 2010, Portland, Oregon, USA / Vereinigte Staaten, 07.07.10. https://doi.org/10.1145/1830483.1830530

Towards improved dispatching rules for complex shop floor scenarios - A genetic programming approach. / Hildebrandt, Torsten; Heger, Jens; Scholz-Reiter, Bernd.
Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10. New York: Association for Computing Machinery, Inc, 2010. S. 257-264.

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

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AB - Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and objectives automatic rule search mechanism are investigated. In this paper an approach using Genetic Programming (GP) is presented. The priority rules generated by GP are evaluated on dynamic job shop scenarios from literature and compared with manually developed rules yielding very promising results also interesting for Simulation Optimization in general.

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KW - Genetic programming

KW - Job shop scheduling

KW - Stochastic system optimization

KW - Engineering

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DO - 10.1145/1830483.1830530

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PB - Association for Computing Machinery, Inc

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Towards improved dispatching rules for complex shop floor scenarios - A genetic programming approach

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