Using graph-based visualizations to explore key performance indicator relationships for manufacturing production systems
Michael P. Brundage, William Z. Bernstein, Katherine C. Morris, John A. Horst
Key Performance Indicators (KPIs) are crucial for measuring and improving the performance of a manufacturing process. An especially critical aspect of developing balanced process performance improvement strategies across all critical objectives is the need to discover the inherent relationships between all KPIs assigned to a targeted manufacturing process. This paper explores graph-based visual representations of the analytic relationships between KPIs and their underlying metrics to uncover and describe KPI relationships. Lessons learned are summarized as a list of requirements for the future development of an interactive prototype that will allow users to dynamically explore KPI-related interdependencies through graph-based visualizations.
The 24th CIRP Conference on Life Cycle Engineering