Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-25T03:53:38.721Z Has data issue: false hasContentIssue false
  • English
  • Français

SIMULATION OF GRADIENT-BASED INDIVIDUAL DESIGN BEHAVIOUR IN DISTRIBUTED DEVELOPMENT PROCESSES

Part of: Human Behaviour and Design

Published online by Cambridge University Press:  11 June 2020

F. Wöhr ,
M. Stanglmeier ,
S. Königs  and
M. Zimmermann
F. Wöhr*
Affiliation:
BMW Group, Germany
M. Stanglmeier
Affiliation:
BMW Group, Germany
S. Königs
Affiliation:
BMW Group, Germany
M. Zimmermann
Affiliation:
Technical University of Munich, Germany
*
*[email protected]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

As current vehicle development processes in the automotive industry are highly distributed, the interaction between design teams is limited. In this paper we use a simulation in order to investigate how the rate of design team interaction affects the solution quality and development cost. Results show, that in case of no limiting constraints, a low rate of interaction yields the best results regarding solution quality and development cost. If design activities are affected by constraints, however, the rate of interaction is subject to a conflict between solution quality and development cost.

Keywords

distributed designprocess modellingprocess analysis
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 1579 - 1588
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

References

Devendorf, E. and Lewis, K. (2011), “The Impact of Process Architecture on Equilibrium Stability in Distributed Design”, Journal of Mechanical Design, Vol. 133 No. 10. https://doi.org/10.1115/1.4004463CrossRefGoogle Scholar
Gurnani, A. and Lewis, K. (2008), “Collaborative, Decentralized Engineering Design at the Edge of Rationality”, Journal of Mechanical Design, Vol. 130 No. 12. https://doi.org/10.1115/1.2988479CrossRefGoogle Scholar
Hey, J.D. and Orme, C. (1994), “Investigating Generalizations of Expected Utility Theory Using Experimental Data”, Econometrica: Journal of the Econometric Society, Vol. 62 No. 6. https://doi.org/10.2307/2951750CrossRefGoogle Scholar
Lewis, K. and Mistree, F. (1998), “Collaborative, Sequential and Isolated Decisions in Design”, Journal of Mechanical Design, Vol. 120 No. 4. https://doi.org/10.1115/1.2829327CrossRefGoogle Scholar
Lewis, K. and Mistree, F. (1997), “Modeling Interactions in Multidisciplinary Design: A Game Theoretic Approach”, AIAA Journal, Vol. 35 No. 8. https://doi.org/10.2514/2.248CrossRefGoogle Scholar
Königs, S. and Zimmermann, M. (2016), “Resolving Conflicts of Goals in Complex Design Processes - Application to the Design of Engine Mount Systems”, Proceedings of the 7th International Munich Chassis Symposium. https://doi.org/10.1007/978-3-658-14219-3_14CrossRefGoogle Scholar
Ståhl, D. and Bosch, J. (2013), “Experienced benefits of continuous integration in industry software product development: A case study”, Proceedings of the IASTED International Conference on Software Engineering. https://doi.org/10.2316/P.2013.796-012CrossRefGoogle Scholar
Stanglmeier, M. et al. (2018), “Economic assessment of virtual validation processes in the automotive development - An analytical approach”, Proceedings of the 2018 Annual IEEE International Systems Conference (SysCon). https://doi.org/10.1109/SYSCON.2018.8369496CrossRefGoogle Scholar
Toepfer, F. et al. (2018), “Integrating the knowledge about functional interdependencies into a parameter management approach”, Proceedings of the DESIGN 2018 15th International Design Conference. https://doi.org/10.21278/idc.2018.0222CrossRefGoogle Scholar
Xiao, A. et al. (2005), “Collaborative Multidisciplinary Decision Making Using Game Theory and Design Capability Indices”, Research in Engineering Design, Vol. 16 No. 1-2. https://doi.org/10.1007/s00163-005-0007-xCrossRefGoogle Scholar