Towards a Business Intelligence Application for Evidence-based Maintenance

Maintenance plans are crucial to ensure the ongoing operation of the assets, extending their lifespan, and minimizing costs as much as possible. Various methods, including Reliability-Centered Maintenance and Risk-Based Maintenance, are available in the literature for formulating such plans. However, these approaches may pose significant challenges, particularly for Small and Medium Enterprises (SMEs). In this context, Evidence-based Maintenance (EbM) has emerged as a promising method, aiming to achieve comparable operational outcomes while minimizing initial overhead. Leveraging the tools provided by digital transformation, this work proposes the utilization of Business Intelligence (BI) to support the development of EbM. A methodology is introduced for this purpose and validated through a case study. Nevertheless, its effective implementation requires leadership and commitment to grant consistency through the standardization of vocabulary, formats, and processes within the organization.