Abstract
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 |
|---|---|
| Publication status | Published - 27 Jul 2015 |
| Event | ICED15, The 20th International Conference on Engineering Design, 2015 - Milan, Italy Duration: 27 Jul 2015 → 31 Jul 2015 |
Conference
| Conference | ICED15, The 20th International Conference on Engineering Design, 2015 |
|---|---|
| Country | Italy |
| City | Milan |
| Period | 27/07/15 → 31/07/15 |
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Cite this
Identifying and Visualising KPIs for Collaborative Engineering Projects : a Knowledge Based Approach. / Shi, Lei; Newnes, Linda; Culley, Stephen; Gopsill, James; Jones, Simon; Snider, Christopher.
2015. Paper presented at ICED15, The 20th International Conference on Engineering Design, 2015, Milan, Italy.Research output: Contribution to conference › Paper
}
TY - CONF
T1 - Identifying and Visualising KPIs for Collaborative Engineering Projects
T2 - a Knowledge Based Approach
AU - Shi, Lei
AU - Newnes, Linda
AU - Culley, Stephen
AU - Gopsill, James
AU - Jones, Simon
AU - Snider, Christopher
PY - 2015/7/27
Y1 - 2015/7/27
N2 - 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.
AB - 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.
M3 - Paper
ER -