This professional-grade reliability system is built for engineers, maintenance managers, and terminal operators who need to move beyond reactive maintenance and start making data-driven decisions that reduce downtime and cost.
Designed around ISO 14224 principles, this toolkit transforms raw CMMS data into structured, actionable insight. Instead of tracking generic failures, the system focuses on failure modes, allowing you to identify recurring patterns, quantify risk, and isolate the true "bad actors" driving the majority of downtime and maintenance spend.
The workbook integrates a complete data flow: from raw CMMS imports, through standardized failure coding, into a master failure history that powers executive dashboards, trend analysis, and decision-making tools. It enables you to analyse downtime, cost, MTBF, MTTR, and risk in a way that is immediately understandable to both engineers and senior management.
A key strength of this system is its ability to expose hidden inefficiencies in your maintenance strategy. By analysing detection methods and maintenance actions, it highlights whether your plant is operating reactively or proactively, and where root causes are not being eliminated. The built-in bad actor analysis identifies the top failure mechanisms causing the greatest operational and financial impact, allowing you to focus effort where it matters most.
The system also includes a risk-based inspection (RBI) framework, helping you prioritise inspections based on probability and consequence, ensuring resources are allocated efficiently.
This is not just a spreadsheet—it is a structured reliability intelligence system designed to reduce downtime, lower maintenance costs, and provide clear, executive-level insight into plant performance.
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Source: Best Practices in Reliability Centered Maintenance Excel: STS Crane Reliability Intelligence System - Turn CMMS Data Excel (XLSX) Spreadsheet, Virtuoso Trading
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