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Fault detection on production lines is crucial for maintaining the efficiency, reliability, and quality of industrial processes. The Internet of Things (IoT) and Enterprise Resource Planning (ERP) systems are powerful technologies, but they are often implemented independently within companies. The lack of integration between these technologies leaves their potential unused. This article proposes a method for detecting machine failures, which is not established using the available diagnostic methods. This study presents an Internet of Things (IoT) system implemented on a production line equipped with a DC motor-driven pump. Current measurements and a threshold-based rule are used to flag potentially defective parts for manual inspection. The concept for integration of business processes with machine diagnostics is also proposed. A prototype integrating production-line defect detection with ERP workflows was developed in Odoo Community and evaluated using historical production cycles. Functional tests confirmed the traceability of detected events and the correct execution of selected ERP operations related to product disposition, inventory management, production planning, and purchasing.
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Gawęda et al. (2026) studied this question.
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