Enhancing Asset Reliability through Risk-Based Inspection and Reliability-Centered Maintenance in SAP EAM
Keywords:
Risk-Based Inspection, Reliability-Centered Maintenance, SAP Enterprise Asset Management, Asset Reliability, Predictive MaintenanceAbstract
Risk-Based Inspection (RBI) and Reliability-Centered Maintenance (RCM) have emerged as critical methodologies for enhancing asset reliability in industrial operations. This research investigates the integration of RBI and RCM frameworks within SAP Enterprise Asset Management (EAM) systems to optimize maintenance strategies and improve asset performance. The study employed a mixed-method approach, combining quantitative analysis of maintenance data from manufacturing facilities and qualitative assessment of implementation practices. Data were collected from 150 industrial facilities across oil and gas, manufacturing, and utilities sectors implementing integrated RBI-RCM approaches through SAP EAM. Results demonstrate that integrated RBI-RCM implementation through SAP EAM reduces unplanned downtime by 45-50%, decreases maintenance costs by 25-30%, and improves asset availability by 35-40%. The hypothesis that synchronized RBI-RCM methodologies within SAP EAM significantly enhance asset reliability metrics compared to traditional maintenance approaches was confirmed. Discussion reveals that successful implementation requires organizational commitment, data quality management, and continuous improvement processes. The findings suggest that combining RBI's risk prioritization with RCM's systematic approach creates a comprehensive asset integrity framework. This research contributes to understanding how digital transformation through SAP EAM enables predictive maintenance capabilities and data-driven decision making in asset-intensive industries.
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References
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