Brundage, M.
, Bernstein, W.
, Morris, K.
and Horst, J.
(2017),
Using graph-based visualizations to explore key performance indicator relationships for manufacturing production systems, The 24th CIRP Conference on Life Cycle Engineering, Kanagawa, JP, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=921856
(Accessed April 19, 2024)
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Using graph-based visualizations to explore key performance indicator relationships for manufacturing production systems
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Author(s)
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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 future development of an interactive prototype that will allow users to dynamically explore KPI-related interdependencies through graph-based visualizations.Proceedings Title
The 24th CIRP Conference on Life Cycle Engineering
Conference Dates
March 8-10, 2017
Conference Location
Kanagawa, JP
Conference Title
Procedia CIRP
Pub Type
Conferences
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Keywords
Key Performance Indicators, Continuous Improvement, Information Visualization, ISO 22400, Interdependencies, KPI Relationships, Manufacturing Process Improvement
Citation
Created March 9, 2017, Updated April 18, 2022