Enhance Efficiency: Integrating Prognostic and Health Management with Business Intelligence

The paper explores the integration of Prognostic and Health Management (PHM) techniques with Business Intelligence (BI) tools to optimise operational performance. Traditional maintenance practices in manufacturing often rely on reactive approaches, leading to increased downtime and maintenance costs. By integrating PHM with BI, organisations can transition towards proactive maintenance and quality strategies. The papers present a methodology for integrating PHM data, including sensor readings and diagnostic information, with BI platforms to enable real-time monitoring, predictive analytics, and informed decision-making. A case study from the energy storage system demonstrates the effectiveness of the integrated approach in reducing downtime, optimising performance, and improving production output.