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Practical Production Systems Optimization Using Multiple-Choice Sets and Manhattan Distance based Constraints Handling
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik)
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik)ORCID iD: 0000-0003-0111-1776
2014 (English)In: Industrial Simulation Conference, Skövde, June 11-13, 2014, 2014, 97-103 p.Conference paper, Published paper (Refereed)
Abstract [en]

Many simulation-based optimization packages provide powerful algorithms to solve large-scale system problems. But most of them fall short to offer their users the techniques to effectively handle decision variables that are of multiple-choice type, as well as equality constraints, which can be found in many real-world industrial system design and improvement problems. Hence, this paper introduces how multiple choice sets and Manhattan-distance-based constraint handling can be effectively embedded into a meta-heuristic algorithm for simulation-based optimization. How these two techniques have been applied together to make the improvement of a complex production system, provided by an automotive manufacturer, possible will also be presented.

Place, publisher, year, edition, pages
2014. 97-103 p.
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-9387ISBN: 978-90-77381-83-0 OAI: oai:DiVA.org:his-9387DiVA: diva2:722758
Conference
ISC'2014, 12th Annual Industrial Simulation Conference, June 11-13, 2014, University of Skövde, Skövde, Sweden
Available from: 2014-06-09 Created: 2014-06-09 Last updated: 2015-12-18Bibliographically approved

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