IDENTIFYING AND VISUALISING KPIS FOR COLLABORATIVE ENGINEERING PROJECTS: A KNOWLEDGE BASED APPROACH
Editor: Christian Weber, Stephan Husung, Marco Cantamessa, Gaetano Cascini, Dorian Marjanovic, Francesca Montagna
Author: Shi, Lei; Newnes, Linda; Culley, Steve; Gopsill, JaMES; Jones, Simon; Snider, Chris
Institution: 1: University of Bath, United Kingdom; 2: University of Bristol, United Kingdom
Section: Design Organisation and Management
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.