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Multi-Objective Simulation Optimization for Production Systems Design using FACTS Analyser
2008 (English)In: Proceedings of the 2nd Swedish Production Symposium, 2008, 101-109 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a new general method for supporting production systems design within the context of Multi-objective Simulation Optimisation. Under this framework, different Production Control Mechanisms can be compared based on their optimal settings, which will be illustrated with a pedagogical simple flow line as well as an engines assembly line in automotive industry. Results from these case studies have provided significant insight into the importance of applying MOSO for Multi-Criteria Decision Making in general production systems design. At the same time, it also outlines the concept of applying significant dominance to handle uncertainty from stochastic simulation output, which has been implemented into a Web-based DES system called FACTS Analyser, specifically designed for conceptual factory design, analysis and optimisation.

Place, publisher, year, edition, pages
2008. 101-109 p.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:his:diva-9389OAI: oai:DiVA.org:his-9389DiVA: diva2:722965
Conference
Swedish Production Symposium
Available from: 2014-06-10 Created: 2014-06-09 Last updated: 2015-12-18Bibliographically approved

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Ng, Amos H. C.Urenda Moris, MatiasSvensson, Jacob
Production Engineering, Human Work Science and Ergonomics

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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