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Predictive Maintenance for Production Lines

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    Year of implementation
    2021
    Industry
    Automotive

    Global leading company specializing in supplying quality components and advanced technological solutions for the automotive industry.

    Approach and methodology

    We developed a Big Data Platform to collect data from production stations and, using an MLOps architecture, trained AI models to predict failures, estimate cycle time, and minimize production downtime. The system ensures continuous monitoring, enhancing efficiency and optimizing plant maintenance for improved operational performance.

    Staff involved in the project
    4 Specialists
    Execution time
    6 Months
    Technologies used
    • Apache Kafka
    • Azure Data Lake
    • Azure Event Hubs
    • Azure Synapse
    • Databricks
    • MQTT
    • ONNX

    Get in touch with
    Abacus Group

    Contact us

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