1. //
  2. Start
  3. //
  4. Publications
  5. Analysis of priority rule-based scheduli...
  6. Output formats
  7. //

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

Standard

Analysis of priority rule-based scheduling in dual-resource-constrained shop-floor scenarios. / Scholz-Reiter, Bernd; Heger, Jens; Hildebrandt, Torsten.

Machine Learning and Systems Engineering. ed. / Sio-long Ao; Burghard Rieger; Mahyar A. Amouzegar. Vol. 68 LNEE Springer Netherlands, 2010. p. 269-281 (Lecture Notes in Electrical Engineering; Vol. 68 LNEE).

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

Harvard

Scholz-Reiter, B, Heger, J & Hildebrandt, T 2010, Analysis of priority rule-based scheduling in dual-resource-constrained shop-floor scenarios. in S Ao, B Rieger & MA Amouzegar (eds), Machine Learning and Systems Engineering. vol. 68 LNEE, Lecture Notes in Electrical Engineering, vol. 68 LNEE, Springer Netherlands, pp. 269-281, International Conference on Advances in Machine Learning and Systems Engineering - 2009, Berkeley, United States, 20.10.09. https://doi.org/10.1007/978-90-481-9419-3_21

APA

Scholz-Reiter, B., Heger, J., & Hildebrandt, T. (2010). Analysis of priority rule-based scheduling in dual-resource-constrained shop-floor scenarios. In S. Ao, B. Rieger, & M. A. Amouzegar (Eds.), Machine Learning and Systems Engineering (Vol. 68 LNEE, pp. 269-281). (Lecture Notes in Electrical Engineering; Vol. 68 LNEE). Springer Netherlands. https://doi.org/10.1007/978-90-481-9419-3_21

Vancouver

Scholz-Reiter B, Heger J, Hildebrandt T. Analysis of priority rule-based scheduling in dual-resource-constrained shop-floor scenarios. In Ao S, Rieger B, Amouzegar MA, editors, Machine Learning and Systems Engineering. Vol. 68 LNEE. Springer Netherlands. 2010. p. 269-281. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-90-481-9419-3_21

Bibtex

@inbook{f6cff8dd829b41fba26cfbbf1c2f6a9a,
title = "Analysis of priority rule-based scheduling in dual-resource-constrained shop-floor scenarios",
abstract = "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.",
keywords = "Engineering",
author = "Bernd Scholz-Reiter and Jens Heger and Torsten Hildebrandt",
year = "2010",
doi = "10.1007/978-90-481-9419-3_21",
language = "English",
isbn = "978-90-481-9418-6",
volume = "68 LNEE",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Netherlands",
pages = "269--281",
editor = "Sio-long Ao and Burghard Rieger and Amouzegar, {Mahyar A.}",
booktitle = "Machine Learning and Systems Engineering",
address = "Netherlands",
note = "International Conference on Advances in Machine Learning and Systems Engineering - 2009 : As part of the World Congress on Engineering and Computer Science (WCECS 2009) ; Conference date: 20-10-2009 Through 22-10-2009",
url = "http://www.iaeng.org/publication/WCECS2009/",

}

RIS

TY - CHAP

T1 - Analysis of priority rule-based scheduling in dual-resource-constrained shop-floor scenarios

AU - Scholz-Reiter, Bernd

AU - Heger, Jens

AU - Hildebrandt, Torsten

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=78651545077&partnerID=8YFLogxK

U2 - 10.1007/978-90-481-9419-3_21

DO - 10.1007/978-90-481-9419-3_21

M3 - Article in conference proceedings

AN - SCOPUS:78651545077

SN - 978-90-481-9418-6

VL - 68 LNEE

T3 - Lecture Notes in Electrical Engineering

SP - 269

EP - 281

BT - Machine Learning and Systems Engineering

A2 - Ao, Sio-long

A2 - Rieger, Burghard

A2 - Amouzegar, Mahyar A.

PB - Springer Netherlands

T2 - International Conference on Advances in Machine Learning and Systems Engineering - 2009

Y2 - 20 October 2009 through 22 October 2009

ER -

Other publications by the same author(s)

Neural network-based estimation and compensation of friction for enhanced deep drawing process control

Thiery, S., Zein El Abdine, M., Heger, J. & Ben Khalifa, N., 15.05.2024, Material Forming ESAFORM 2024: The 27th International ESAFORM Conference on Material Forming – ESAFORM 2024 – held in Toulouse (France), at the Pierre Baudis Convention Center between 24-26th April, 2024. Araujo, A. C., Cantarel, A., Chabert, F., Korycki, A., Olivier, P. & Schmidt, F. (eds.). Millersville: MaterialsResearchForum LLC, p. 1462-1471 10 p. 162. (Materials Research Proceedings; vol. 41).

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

Simulation-based Investigation of Energy Flexibility in the Optimization of Hinterland Drainage

Hempel, M. C. & Heger, J., 2024, In: Simulation Notes Europe. 34, 1, p. 35–42 8 p.

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

The Impact of AGVs and Priority Rules in a Real Production Setup – A Simulation Study

Müller, K., Andrew, A. & Heger, J., 08.04.2024, Dynamics in Logistics : Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany. Freitag, M., Kinra, A., Kotzab, H. & Megow, N. (eds.). Springer Science and Business Media B.V., p. 249-260 12 p. (Lecture Notes in Logistics; vol. Part F2520).

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

Simulationsbasierte Untersuchung von Energieflexibilität bei der Optimierung in der Hinterlandentwässerung

Hempel, M. C. & Heger, J., 01.01.2023, ASIM Workshop 2023: STS/GMMS/EDU : Proceedings Langbeiträge : ASIM Fachgruppenworkshop 2023, STS Simulation Technischer Systeme, GMMS Grundlagen und Methoden in Modellbildung und Simulation, EDU Simulation und Edukation, 6.3.-7.3.2023, Universität Magdeburg. Krull, C., Commerell, W., Durak, U., Körner, A. & Pawletta, T. (eds.). Wien: ARGESIM Verlag , p. 143-149 7 p. (ASIM Mitteilung ; vol. 185)(ARGESIM Report; vol. 21).

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

Dynamic Lot Size Optimization with Reinforcement Learning

Voss, T., Bode, C. & Heger, J., 01.01.2022, Dynamics in Logistics : Proceedings of the 8th International Conference LDIC 2022, Bremen, Germany. Freitag, M., Kinra, A., Kotzab, H. & Megow, N. (eds.). Cham: Springer Science and Business Media B.V., p. 376-385 10 p. (Lecture Notes in Logistics).

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

DOI

Recently viewed