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Performance Visualization in Industrial Systems for Informed Decision Making

Article dans une revue avec comité de lecture
Author
SHAH, Liaqat Ali
302430 COMSATS Institute of Information Technology [Islamabad] [CIIT]
VERNADAT, François
527506 Laboratoire de Génie Informatique, de Production et de Maintenance [LGIPM]
ccSIADAT, Ali
107452 Laboratoire de Conception Fabrication Commande [LCFC]
ccETIENNE, Alain

URI
http://hdl.handle.net/10985/17277
DOI
10.1016/j.ifacol.2018.08.376
Date
2018
Journal
IFAC-PapersOnLine

Abstract

Information visualization is a key component of many decision support tools in sciences and engineering. Graph is a visual construct that is widely used to model information for visualization. In this paper, a value-risk graph is proposed to visualize the results of value-risk based performance measurement systems (PMSs). The proposed graph for PMS divides the overall performance of industrial systems into distinct zones to facilitate the decision-making process. The upper bound, lower bound, and target value of each measure are decided by the performance evaluator and, then, transformed into normalized values using value theory principles. The aggregation of normalized measures along value and risk lines when combined defines “highly desirable”, “feasible”, ”risky”, and “unacceptable” zones. Scenario performance data when plotted on the graph visualize the overall performance of the system in terms of value and risk. The proposed decision-making value-risk graph is illustrated with an example dealing with manufacturing process design but it can be applied to any kind of system evaluation.

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