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EFFICIENT DATA GATHERING IN SUPPORT OF DESIGN ISSUE RESOLUTION IN AN AUTOMOTIVE COMPANY

Part of: Design Support Tools

Published online by Cambridge University Press:  11 June 2020

T. M. Sissoko ,
M. Jankovic ,
C. J. J. Paredis  and
E. Landel
T. M. Sissoko*
Affiliation:
CentraleSupélec, France Renault, France
M. Jankovic
Affiliation:
CentraleSupélec, France
C. J. J. Paredis
Affiliation:
Clemson University, United States of America
E. Landel
Affiliation:
Renault, France
*
*timothe.sissoko@centralesupelec.fr

Abstract

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When designing complex systems, multiple people contribute to the process of information collection in support of decision making. In this paper, we study information collection in the Issue Resolution Decision Support (IRDS) framework. We assess the difficulties associated with uncertainty in the often scarce data when implementing the framework in a company and map out how the data sources are scattered across the organization. We study the elicitation process and propose to leverage sensitivity analysis to better allocate data collection efforts.

Keywords

uncertaintydecision makingknowledge sharingdata collectiondecision support
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 403 - 412
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

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