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Optimal scheduling for Automated Guided Vehicles (AGV) in blocking job-shops

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

Standard

Optimal scheduling for Automated Guided Vehicles (AGV) in blocking job-shops. / Heger, Jens; Voß, Thomas.
Advances in Production Management Systems: The Path to Intelligent, Collaborative and Sustainable Manufacturing. ed. / Ralph Riedel; Klaus-Dieter Thoben; Gregor von Cieminski; Dimitris Kiritsis; Hermann Lodding. Vol. 1 Springer Verlag, 2017. p. 151 - 158 (IFIP Advances in Information and Communication Technology; Vol. 513).

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

Harvard

Heger, J & Voß, T 2017, Optimal scheduling for Automated Guided Vehicles (AGV) in blocking job-shops. in R Riedel, K-D Thoben, G von Cieminski, D Kiritsis & H Lodding (eds), Advances in Production Management Systems: The Path to Intelligent, Collaborative and Sustainable Manufacturing. vol. 1, IFIP Advances in Information and Communication Technology, vol. 513, Springer Verlag, pp. 151 - 158, International Conference on Advances in Production Management Systems, Hamburg, Hamburg, Germany, 03.09.17. https://doi.org/10.1007/978-3-319-66923-6_18

APA

Heger, J., & Voß, T. (2017). Optimal scheduling for Automated Guided Vehicles (AGV) in blocking job-shops. In R. Riedel, K.-D. Thoben, G. von Cieminski, D. Kiritsis, & H. Lodding (Eds.), Advances in Production Management Systems: The Path to Intelligent, Collaborative and Sustainable Manufacturing (Vol. 1, pp. 151 - 158). (IFIP Advances in Information and Communication Technology; Vol. 513). Springer Verlag. https://doi.org/10.1007/978-3-319-66923-6_18

Vancouver

Heger J, Voß T. Optimal scheduling for Automated Guided Vehicles (AGV) in blocking job-shops. In Riedel R, Thoben KD, von Cieminski G, Kiritsis D, Lodding H, editors, Advances in Production Management Systems: The Path to Intelligent, Collaborative and Sustainable Manufacturing. Vol. 1. Springer Verlag. 2017. p. 151 - 158. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-319-66923-6_18

Bibtex

@inbook{f9f745df5e704011b72714a299e969d4,
title = "Optimal scheduling for Automated Guided Vehicles (AGV) in blocking job-shops",
abstract = "Promising developments and further improvements of cyber physical logistics systems (CPLS) and automated guided vehicles (AGV) lead to broader application of such systems in production environments and smart factories. In this study a new mixed integer linear program (MILP) is presented for the scheduling of AGVs in a flexible reentrant job shop with blocking. Optimal solutions to small instances of the complex scheduling problem in a make-to-order production, minimizing the make span, are calculated. Different numbers of jobs are considered. Feasible schedules for the machines and the AGVs are generated from different sized instances to evaluate the limits of the mathematical model.",
keywords = "Engineering, AGV, Cyber physical systems, Job Shop Scheduling, MILP",
author = "Jens Heger and Thomas Vo{\ss}",
year = "2017",
doi = "10.1007/978-3-319-66923-6_18",
language = "English",
isbn = "978-3-319-66922-9",
volume = "1",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer Verlag",
pages = "151 -- 158",
editor = "Ralph Riedel and Klaus-Dieter Thoben and {von Cieminski}, Gregor and Dimitris Kiritsis and Hermann Lodding",
booktitle = "Advances in Production Management Systems",
address = "Germany",
note = "International Conference on Advances in Production Management Systems ; Conference date: 03-09-2017 Through 07-09-2017",
url = "http://www.apms-conference.org/past-conferences/apms-2017/",

}

RIS

TY - CHAP

T1 - Optimal scheduling for Automated Guided Vehicles (AGV) in blocking job-shops

AU - Heger, Jens

AU - Voß, Thomas

PY - 2017

Y1 - 2017

N2 - Promising developments and further improvements of cyber physical logistics systems (CPLS) and automated guided vehicles (AGV) lead to broader application of such systems in production environments and smart factories. In this study a new mixed integer linear program (MILP) is presented for the scheduling of AGVs in a flexible reentrant job shop with blocking. Optimal solutions to small instances of the complex scheduling problem in a make-to-order production, minimizing the make span, are calculated. Different numbers of jobs are considered. Feasible schedules for the machines and the AGVs are generated from different sized instances to evaluate the limits of the mathematical model.

AB - Promising developments and further improvements of cyber physical logistics systems (CPLS) and automated guided vehicles (AGV) lead to broader application of such systems in production environments and smart factories. In this study a new mixed integer linear program (MILP) is presented for the scheduling of AGVs in a flexible reentrant job shop with blocking. Optimal solutions to small instances of the complex scheduling problem in a make-to-order production, minimizing the make span, are calculated. Different numbers of jobs are considered. Feasible schedules for the machines and the AGVs are generated from different sized instances to evaluate the limits of the mathematical model.

KW - Engineering

KW - AGV

KW - Cyber physical systems

KW - Job Shop Scheduling

KW - MILP

UR - http://www.scopus.com/inward/record.url?scp=85029351026&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-66923-6_18

DO - 10.1007/978-3-319-66923-6_18

M3 - Article in conference proceedings

SN - 978-3-319-66922-9

VL - 1

T3 - IFIP Advances in Information and Communication Technology

SP - 151

EP - 158

BT - Advances in Production Management Systems

A2 - Riedel, Ralph

A2 - Thoben, Klaus-Dieter

A2 - von Cieminski, Gregor

A2 - Kiritsis, Dimitris

A2 - Lodding, Hermann

PB - Springer Verlag

T2 - International Conference on Advances in Production Management Systems

Y2 - 3 September 2017 through 7 September 2017

ER -

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Thiery, S., Zein El Abdine, M., Heger, J. & Ben Khalifa, N., 01.05.2025, In: Advances in Industrial and Manufacturing Engineering. 10, 11 p., 100157.

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

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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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