Optruss

MTBF, MTTR & Equipment Availability Simulator

Calculate Mean Time Between Failures, active Mean Time To Repair, and Inherent vs. Operational Availability adhering to ISO 14224 world-class reliability standards.

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ISO 14224 / IEEE 493RELIABILITY AVAILABILITY SIMULATORReal-Time Engineering Engine
INTERACTIVE SIMULATION WORKBENCH

Configure Parameters to Run Model

MTBF
2190.0 hours

Mean Time Between Failures

MTTR
18.0 hours

Mean Time To Repair

Operational Availability (Ao)
97.86%

Includes planned PM and unplanned outages

Inherent Availability (Ai)
99.18%

Reflects pure equipment hardware reliability

Benchmark Evaluation: SATISFACTORY

Near industry average (95.0% - 98.4%). Targeted predictive monitoring will eliminate repeat downtime.

MATHEMATICAL FORMULATIONS & VARIABLES

Rigorous Engineering Formulations

Mean Time Between Failures (MTBF)

MTBF = Total Operating Hours / Number of Unplanned Failures

Measures the operational duration a machine runs before encountering an unscheduled breakdown. A higher MTBF reflects superior mechanical health and lubrication hygiene.

Mean Time To Repair (MTTR)

MTTR = Total Unplanned Outage Repair Hours / Number of Unplanned Failures

Measures maintainability: the average active clock hours required for technicians to isolate, replace, align, and recommission the failed component.

Operational Availability (Ao)

Ao = Operating Hours / (Operating Hours + Unplanned Repair Hours + Planned PM Hours) × 100%

Reflects true bottom-line production uptime, penalizing both unplanned breakdowns and inefficient preventive maintenance outages.

WORLD-CLASS INDUSTRY BENCHMARKS

Comparative Performance Quartiles

Benchmark QuartileTarget Metric RangeOperational & Financial Implication
World-Class> 98.5%Exceeds global petrochemical benchmark. Unplanned failure rate < 0.05/yr.
Satisfactory95.0% - 98.4%Standard industry average. Repeat minor outages require targeted condition monitoring.
Critical< 95.0%High operational vulnerability. Chronic downtime severely degrades production margins.
PRACTICAL OPTIMIZATION STRATEGIES

Actionable Engineering Best Practices

Deploy Continuous Edge Telemetry

Catch micro-impacts months before functional failure to schedule repairs during planned turnaround windows, driving MTBF upward.

Standardize MRO Staging Work Packs

Pre-stage replacement seals and specialized alignment tooling in the storeroom to shrink MTTR by 40%.

AUTOMATED OPTRUSS TELEMETRY INTEGRATION

Stream Live Sensor Telemetry Directly into CMMS Metrics

Eliminate manual spreadsheet logging. Optruss connects directly to PLC/SCADA tags and vibration sensors to compute live MTBF, calculate real-time downtime loss, and dispatch predictive work orders before machines trip.

Automate ISO 14224 / IEEE 493 Calculations with Optruss AI

Eliminate manual data entry. Connect plant telemetry directly to Optruss to automate calculations and trigger proactive work orders.