Large-scale engineering projects are challenging to monitor, manage, and improve. This paper presents an approach to addressing part of this challenge - the automatic detection of engineering activity through the project lifecycle. By monitoring the focus of work in real-time, this aims to enable managers to build a detailed understanding of the activity that occurs at different stages, work that deviates from that expected, and issues as they arise. The approach is applied to a long-term email dataset, and extracts key themes, issue occurrence, and activity focus through time.
|Name||DESIGN - SOCIOTECHNICAL ISSUES IN DESIGN|
|Publisher||Faculty of Mechanical Engineering and Naval Architecture|
|Conference||14th International Design Conference, DESIGN 2016|
|Period||16/05/16 → 19/05/16|
- engineering project health monitorin, Project monitoring, knowledge management