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

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

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.

OriginalspracheEnglisch
TitelMachine Learning and Systems Engineering
HerausgeberSio-long Ao, Burghard Rieger, Mahyar A. Amouzegar
Anzahl der Seiten13
Band68 LNEE
VerlagSpringer Netherlands
Erscheinungsdatum2010
Seiten269-281
ISBN (Print)978-90-481-9418-6
ISBN (elektronisch)978-90-481-9419-3
DOIs
PublikationsstatusErschienen - 2010
Extern publiziertJa
VeranstaltungInternational Conference on Advances in Machine Learning and Systems Engineering - 2009: As part of the World Congress on Engineering and Computer Science (WCECS 2009) - Berkeley, USA / Vereinigte Staaten
Dauer: 20.10.2009 → 22.10.2009
http://www.iaeng.org/publication/WCECS2009/

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DOI

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