How to Discover Knowledge for Improving Availability in the Manufacturing Domain?
How to Discover Knowledge for Improving Availability in the Manufacturing Domain?
Date
2018-01-03
Authors
Utz, Fabian
Neumann, Christian
Omid, Tafreschi
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Abstract
This paper presents a specific process model for Knowledge Discovery in Databases (KDD) projects aiming at availability improvement in manufacturing. For this purpose, Overall Equipment Efficiency (OEE) is analyzed and used, since it is an approved approach to monitor and improve the degree of availability in manufacturing. To define the specific process model, we use the generic CRISPDM reference model and conduct a mapping for availability improvement. We prove the applicability of our model in the context of a specific KDD project in a large enterprise in the manufacturing industry.
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Reports from the Field,
CRISP-DM, Data Mining, Knowledge Discovery, Manufacturing, Overall Equipment Efficiency (OEE)
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10 pages
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Proceedings of the 51st Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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