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Maturity of models in a multi-model decision support system
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. (Product Development Research Lab)ORCID iD: 0000-0003-4875-391X
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. (Product Development Research Lab)
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. Chalmers University of Technology. (Product Development Research Lab)ORCID iD: 0000-0001-5216-0944
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

To reduce uncertainty in decisions, engineers experiment with models, such as, exploring what-if scenarios, and thus increase knowledge. Still, because modelling is an idealisation of reality, there is often substantial uncertainty involved, and this decision makers less confident to lean onto models alone when making decisions. The aim of this paper is to conceptualize a design support for improving confidence and validity in models, by communicating uncertainties from modelling and simulation to relevant stakeholders. The paper reports on empirical data from a research profile workshop. The findings illustrate the importance of communicating uncertainties from models between relevant stakeholders in order to drive action. The paper then presents an approach to visualize model maturity levels as well as impact levels in relation to one or several aggregated models. With this approach, focus can move to discuss the knowledge about the knowledge that is created from modelling, and to facilitate discussions on a meta-level about the modelling and simulation. This is exemplified by a test scenario where a multi-disciplinary modelling and simulation of an asphalt roller is presented.

Place, publisher, year, edition, pages
The Design Society, 2017.
Keyword [en]
Decision making; Simulation Modelling; Uncertainty; Visualization
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:bth-14389OAI: oai:DiVA.org:bth-14389DiVA: diva2:1104330
Conference
21st International Conference on Engineering Design (ICED), Vancouver
Projects
Model Driven Development and Decision Support
Funder
Knowledge Foundation
Available from: 2017-06-01 Created: 2017-06-01 Last updated: 2017-09-01Bibliographically approved

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fulltext(1750 kB)4 downloads
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Johansson, ChristianWall, JohanPanarotto, Massimo
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CiteExportLink to record
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Citation style
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