Projects per year
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 |
---|---|
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/Territory | Italy |
City | Milan |
Period | 27/07/15 → 31/07/15 |
Fingerprint
Dive into the research topics of 'Identifying and Visualising KPIs for Collaborative Engineering Projects: a Knowledge Based Approach'. Together they form a unique fingerprint.-
-
IAA - Language of Collaborative Manufacturing
Newnes, L., Culley, S. & Shi, L.
Engineering and Physical Sciences Research Council
1/10/16 → 31/03/17
Project: Research council