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Simulation-based Optimization for Facility Layout Design in Conditions of High Uncertainty
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0003-0798-0753
University of Skövde, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0002-5963-2470
University of Uppsala, Sweden.
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2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. -339Article in journal (Refereed) Published
Abstract [en]

Despite the increased use of Simulation based Optimization, the design of facility layout is challenged by high levels of uncertainty associated with new production processes. Addressing this issue, this paper aims to understand the conceptual modeling activities of Simulation-based Optimization for facility layout design in conditions of high uncertainty. Based on three in-depth case studies, the results of this paper show how characterization criteria of production systems can be used in conceptual modelling to reduce uncertainty. These results may be essential to support managers and stakeholders during the introduction of new production processes in the design of facility layouts.

Place, publisher, year, edition, pages
2018. Vol. 72, p. -339
Keywords [en]
uncertainty reduction, simulation based optimization, facility layout, decision support, production system design
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:mdh:diva-39272DOI: 10.1016/j.procir.2018.03.227Scopus ID: 2-s2.0-85049552085OAI: oai:DiVA.org:mdh-39272DiVA, id: diva2:1209595
Conference
51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018; Stockholm Waterfront Congress CentreStockholm; Sweden; 16 May 2018 through 18 May 2018; Code 137494
Projects
INNOFACTURE - innovative manufacturing developmentAvailable from: 2018-05-23 Created: 2018-05-23 Last updated: 2018-07-19Bibliographically approved

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Flores García, ErikBruch, Jessica

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  • de-DE
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  • nn-NB
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