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Multi-objective evolutionary simulation-optimisation of a real-world manufacturing problem
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.ORCID iD: 0000-0003-0111-1776
Centre for Computational Intelligence, De Montfort University, Leicester, United Kingdom.
Computing Sciences and Engineering, De Montfort University, Leicester, United Kingdom.
2009 (English)In: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, E-ISSN 1879-2537, Vol. 25, no 6, p. 926-931Article in journal (Refereed) Published
Abstract [en]

Many real-world manufacturing problems are too complex to be modelled analytically. For these problems, simulation can be a powerful tool for system analysis and optimisation. While traditional optimisation methods have been unable to cope with the complexities of many problems approached by simulation, evolutionary algorithms have proven to be highly useful. This paper describes how simulation and evolutionary algorithms have been combined to improve a manufacturing cell at Volvo Aero in Sweden. This cell produces high-technology engine components for civilian and military airplanes, and also for space rockets. Results from the study show that by using simulation and evolutionary algorithms, it is possible to increase the overall utilisation of the cell and at the same time decrease the number of overdue components.

Place, publisher, year, edition, pages
Elsevier, 2009. Vol. 25, no 6, p. 926-931
Keywords [en]
Simulation, Multi-objective optimisation, Evolutionary algorithms
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-3419DOI: 10.1016/j.rcim.2009.04.013ISI: 000270636700010Scopus ID: 2-s2.0-68949206312OAI: oai:DiVA.org:his-3419DiVA, id: diva2:272110
Available from: 2009-10-14 Created: 2009-10-14 Last updated: 2017-12-12Bibliographically approved

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Syberfeldt, AnnaNg, Amos

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