Hassannezhad, M. and Clarkson, P.J. (2018) A normative approach for identifying decision propagation paths in complex systems. In: Marjanovic, D., Storga, M., Skec, S., Bojcetic , N. and Pavkovic, N., (eds.) Proceedings of the DESIGN 2018 15th International Design Conference. 15th International Design Conference, 21-24 May 2018, Dubrovnik, Croatia. Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Croatia; The Design Society, Glasgow, UK , pp. 1559-1570. ISBN 9789537738594
Abstract
In real-world, making the right decision at the right time is very challenging. Additional complexity is related to the fact that, a change in one part may propagate across multiple subsystems and therefore, it is very difficult to predict how decisions behave. To respond this need, this paper contributes a conceptual framework to present a novel perspective on modelling decisions, so-called Decision Propagation System – DPS. It is an intelligent approach to reflect how organisational dynamics and information dependencies can affect decision propagations, thus helping make Smart decisions.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Editors: |
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| Copyright, Publisher and Additional Information: | © 2018 Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Croatia. |
| Keywords: | decision making; decision automation; complexity; expert systems; dynamic decision network |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
| Depositing User: | Symplectic Sheffield |
| Date Deposited: | 21 Apr 2020 09:50 |
| Last Modified: | 21 Apr 2020 09:50 |
| Status: | Published |
| Publisher: | Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Croatia; The Design Society, Glasgow, UK |
| Refereed: | Yes |
| Identification Number: | 10.21278/idc.2018.0436 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:159707 |
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)