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Abstract
Nowadays manufacturing involves high volume of complex operational processes, distributed resources and international/intersectional collaborations, which cause the evaluation of performance for related engineering projects to become a challenge. The performance of project is a key factor that determines the quality of output, and its temporal changes could reflect the status of project execution at current time, as well as indicate the potential issues for the near future. As a result, monitoring the change of performance is an essential approach to ensure the project execution is on track. It could raise awareness of project participants upon any issue occurs, and enable them to make appropriate decisions on a real-time basis.
To facilitate the evaluation of project performance in collaborative environments, this research aims to propose an automatic approach to extracting key performance indicators (KPIs) from project related data, and also to demonstrate how the domain knowledge can facilitate the process of KPIs identification and visualisation.
To facilitate the evaluation of project performance in collaborative environments, this research aims to propose an automatic approach to extracting key performance indicators (KPIs) from project related data, and also to demonstrate how the domain knowledge can facilitate the process of KPIs identification and visualisation.
Original language | English |
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Title of host publication | DS 80-3 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 3 |
Subtitle of host publication | Organisation and Management, Milan, Italy, 27-30.07.15 |
Editors | Christian Weber, Stephan Husung, Marco Cantamessa, Gaetano Cascini, Dorian Marjanovic, Francesca Montagna |
Publisher | The Design Society |
Pages | 377-386 |
Number of pages | 10 |
Volume | 3 |
ISBN (Print) | 9781904670667 |
Publication status | Published - 27 Jul 2015 |
Publication series
Name | Proceedings of the International Conference on Engineering Design (ICED) |
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Publisher | The Design Society |
Number | 3 |
Volume | 80 |
ISSN (Print) | 2220-4334 |
Keywords
- Complexity
- Decision making
- Knowledge management
- Visualisation
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Dive into the research topics of 'Identifying and Visualising KPIs for Collaborative Engineering Projects: a Knowledge Based Approach'. Together they form a unique fingerprint.Projects
- 1 Finished
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LOCM: The Language of Collaborative Manufacturing
Gopsill, J. A., McAlpine, H. C., McMahon, C. A., Snider, C. M., Shi, L., Watts, L., Jones, S., Johnson, P., Newnes, L., Payne, S., Culley, S. & Hicks, B. J.
1/02/13 → 31/07/18
Project: Research