Titlebook: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Co; 43rd IFIP WG 5.7 Int Matthias Thürer,

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Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing Systemsh whether there exists a correlation between the machine status and the quality deviations of the products. Experiments show that the correlation increases when adjustments to the machines are made. This evidence supports our hypothesis of the possibility of using quality and machine data in combin

驾驶

Adoption of AI-Based Systems in Industrial Maintenance: Empirical Evidences from an Action Research along the Predictive Maintenance process implemented with the digital transformation, the use cases are presented as meaningful examples in order to deduce strategic considerations in terms of strengths, weaknesses, opportunities and threats as implied by their deployment in Predictive Maintenance