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Optimal Buffer Allocation for Semi-synchronized Automotive Assembly Lines using Simulation-based Multi-objective Optimization
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.ORCID iD: 0000-0003-0111-1776
2011 (English)In: Proceedings of the 9th Industrial Simulation Conference, Eurosis , 2011, 129-135 p.Conference paper, Published paper (Refereed)
Abstract [en]

A practical question in industry in designing or re-designing a production system is: how small can intermediated buffers be to ensure the desired production rate? This topic is usually called optimal buffer allocation as the goal is to allocate the minimum buffer capacities to optimize the performance of the line. This paper presents a case study of using simulation-based evolutionary multi-objective optimization to determine the optimal buffer capacities and positions in the reconfiguration of a real-world truck axle assembly line in an automobile manufacturer. The case study has not only revealed the applicability of the methodology in seeking optimal configurations in a truly multi-objective context, it also illustrates how additional important knowledge was gained by analyzing the optimization results in the objective space.

Place, publisher, year, edition, pages
Eurosis , 2011. 129-135 p.
Keyword [en]
Synchronized Assembly, Optimal Buffer Allocation, Simulation-based Optimization, Multi-objective Evolutionary Algorithms
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-5651Scopus ID: 2-s2.0-84898446874ISBN: 978-90-77381-63-2 OAI: oai:DiVA.org:his-5651DiVA: diva2:512417
Conference
2011 9th International Industrial Simulation Conference, ISC 2011, Venice, Italy, 6 June 2011 through 8 June 2011
Available from: 2012-03-27 Created: 2012-03-27 Last updated: 2015-12-18Bibliographically approved

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Citation style
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Language
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