Machine tools are essential to manufacturing for precise and efficient component production. With Industry 4.0, abundant machine condition data enables data-driven maintenance decisions. However, deploying condition-based maintenance solutions is challenging due to the diverse configurations of equipment, complex failure modes, and compatibility issues with the digital infrastructure. While machine tool health monitoring relies on detailed tests like Ballbar measurements, they consume valuable production time. To address these challenges, this article presents a human-centric development and deployment of a condition-based data-driven maintenance dashboard. The solution uses data from the controller system to improve machine tool testing in a Swedish heavy-duty vehicle powertrain facility.

Human-Centric CBM Solution for Machine Tools: From Development to Deployment

Polenghi, Adalberto;
2025-01-01

Abstract

Machine tools are essential to manufacturing for precise and efficient component production. With Industry 4.0, abundant machine condition data enables data-driven maintenance decisions. However, deploying condition-based maintenance solutions is challenging due to the diverse configurations of equipment, complex failure modes, and compatibility issues with the digital infrastructure. While machine tool health monitoring relies on detailed tests like Ballbar measurements, they consume valuable production time. To address these challenges, this article presents a human-centric development and deployment of a condition-based data-driven maintenance dashboard. The solution uses data from the controller system to improve machine tool testing in a Swedish heavy-duty vehicle powertrain facility.
2025
11th IFAC Conference on Manufacturing Modelling, Management and Control (MIM)
circularity test
Condition-based maintenance
data-driven decision making
deployment
human-centric solutions
machine tools
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1309123
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