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Analysis of priority rule-based scheduling in dual-resource-constrained shop-floor scenarios

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Authors

A lot of research on scheduling manufacturing systems with priority rules has been done. Most studies, however, concentrate on simplified scenarios considering only one type of resource, usually machines. In this study priority rules are applied to a more realistic scenario, in which machines and operators are dual-constrained and have a re-entrant process flow. Interdependencies of priority rules are analyzed by long-term simulation. Strength and weaknesses of various priority rule combinations are determined at different utilization levels. Further insights are gained by additionally solving static instances optimally by using a mixed integer linear program (MILP) of the production system and comparing the results with those of the priority rules.

Original languageEnglish
Title of host publicationMachine Learning and Systems Engineering
EditorsSio-long Ao, Burghard Rieger, Mahyar A. Amouzegar
Number of pages13
Volume68 LNEE
PublisherSpringer Netherlands
Publication date2010
Pages269-281
ISBN (print)978-90-481-9418-6
ISBN (electronic)978-90-481-9419-3
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventInternational Conference on Advances in Machine Learning and Systems Engineering - 2009: As part of the World Congress on Engineering and Computer Science (WCECS 2009) - Berkeley, United States
Duration: 20.10.2009 → 22.10.2009
http://www.iaeng.org/publication/WCECS2009/

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Research output: Journal contributions › Journal articles › Research › peer-review

Rethink Textile Production - Developing sustainable concepts for textile industry using production simulation

Müller, K., Guerne, M. G., Block, B.-M. & Heger, J., 04.2025, 14th International Materials Education Symposium: Clare College, University of Cambridge Cambridge, UK April 10-11, 2025. Canonsburg: University of Cambridge, p. 27 1 p. ( Materials Education Symposium).

Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Transfer › peer-review

Beschleunigte Erstellung von Simulationsmodellen für Produktions- und Logistikprozesse mithilfe von GPT-basierten Large Language Models

Krämer, R. & Heger, J., 01.09.2024, ASIM SST 2024 Tagungsband Kurzbeiträge: 27. ASIM Symposium Simulationstechnik, 4.9.-6.9.2024, Universität der Bundeswehr München. Rose, O. & Uhlig, T. (eds.). Wien: ARGESIM Verlag , p. 21 - 24 4 p. (ARGESIM Report; vol. 46)(ASIM Mitteilung; vol. 189).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Digitale Kontaktnachverfolgung bei Infektionskrankheiten: Projektstudie ZIL-Kontakt

Drews, P., Funk, B., Heger, J., Lehr, D., Zimmer, M. P. & Lemmer, K., 22.08.2024, Lüneburg: Leuphana Universität Lüneburg, 25 p.

Research output: Working paper › Project reports › Transfer

Increased Reliability of Draw-In Prediction in a Single Stage Deep-Drawing Operation via Transfer Learning

Wollschlaeger, L., Heinzel, C., Thiery, S., Abdine, M. Z. E., Khalifa, N. B. & Heger, J., 01.01.2024, In: Procedia CIRP. 130, p. 270-275 6 p.

Research output: Journal contributions › Conference article in journal › Research › peer-review

DOI

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