Article ID Journal Published Year Pages File Type
5470548 Procedia CIRP 2017 6 Pages PDF
Abstract
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 development of an interactive prototype that will allow users to dynamically explore KPI-related interdependencies through graph-based visualizations.
Related Topics
Physical Sciences and Engineering Engineering Industrial and Manufacturing Engineering
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