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Aggregated line modeling for simulation and optimization of manufacturing systems
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Research and Technology Development, Engine Manufacturing Engineering, Volvo Car Group. (Produktion och Automatiseringsteknik, Production and Automation Engineering)
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-4086-3877
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-0880-2572
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Simulation-Based Optimization)ORCID iD: 0000-0003-0111-1776
2015 (English)In: Proceedings of the 2015 Winter Simulation Conference / [ed] L. Yilmaz, W. K. V. Chan, I. Moon, T. M. K. Roeder, C. Macal, and M. D. Rossetti, Piscataway, NJ, USA: IEEE Press, 2015, p. 3632-3643Conference paper, Published paper (Refereed)
Abstract [en]

In conceptual analysis of higher level manufacturing systems, for instance, when the constraint on system level is sought, it may not be very practical to use detailed simulation models. Developing detailed models on supply chain level or plant wide level may be very time consuming and might also be computationally costly to execute, especially if optimization techniques are to be applied. Aggregation techniques, simplifying a detailed system into fewer objects, can be an effective method to reduce the required computational resources and to shorten the development time. An aggregated model can be used to identify the main system constraints, dimensioning inter-line buffers, and focus development activities on the critical issues from a system performance perspective. In this paper a novel line aggregation technique suitable for manufacturing systems optimization is proposed, analyzed and tested in order to establish a proof of concept while demonstrating the potential of the technique.

Place, publisher, year, edition, pages
Piscataway, NJ, USA: IEEE Press, 2015. p. 3632-3643
Series
Winter Simulation Conference. Proceedings, ISSN 0891-7736
Keywords [en]
Simulation, Modeling, Manufacturing, Optimization
National Category
Other Mechanical Engineering
Research subject
Technology; Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-11899DOI: 10.1109/WSC.2015.7408522ISI: 000399133903069Scopus ID: 2-s2.0-84962829106ISBN: 978-1-4673-9743-8 (print)OAI: oai:DiVA.org:his-11899DiVA, id: diva2:902863
Conference
WSC '15 Winter Simulation Conference, Huntington Beach, CA, USA — December 06 - 09, 2015
Available from: 2016-02-12 Created: 2016-02-11 Last updated: 2018-05-07Bibliographically approved

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Aggregated line modeling for simulation and optimization of manufacturing systems(381 kB)831 downloads
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Pehrsson, LeifFrantzén, MarcusAslam, TehseenNg, Amos H. C.

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