Failure scenarios in offshore platforms pose significant environmental, social, and economic risks due to the magnitude of potential damages they can cause. Therefore, in this context, the adoption of good maintenance management practices is necessary, enabling operational continuity through asset integrity. However, there is still a need for studies with a holistic approach for a multi-level assessment of assets, using modern approaches to mitigate the limitations of traditional Failure Mode and Effects Analysis (FMEA). Thus, this research proposes a framework for FMEA that considers the subjectivity and relative importance of risk criteria, through an integrated approach using hierarchical inference systems and multi-criteria models such as the Best-Worst Method (BWM) and fuzzy VIsekriterijumsko KOmpromisno Rangiranje (VIKOR) to provide a structured classification of assets, guiding managers in maintenance prioritization. This framework was validated through an empirical study on a Floating Production Storage and Offloading (FPSO) platform, addressing the issue of external corrosion for maintenance management, based on triangulated data collection. Therefore, this research brings theoretical contributions by filling gaps through the proposal and application of integrated methodologies, and practical contributions by providing managers responsible for formulating maintenance plans with objective elements for more effective decision-making under the reliability paradigm. This framework can be applied in other domains by adjusting evaluative criteria.