Using graph-based visualizations to explore key performance indicator relationships for manufacturing production systems

Published

March 9, 2017

Author(s)

Michael Brundage, William Z. Bernstein, KC Morris, John A. Horst

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

Download Paper

Local Download

Keywords

Key Performance Indicators, Continuous Improvement, Information Visualization, ISO 22400, Interdependencies, KPI Relationships, Manufacturing Process Improvement

Citation

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 December 11, 2024)