Downtime Data Analysis for Production Lines
From a stop log to failure-mode distributions a simulation can run: event data, cause groups, TTF and TTR, fitting and validation.
Read the guide → DowntimeDowntime Pareto: Frequency, Duration and Lost Throughput
Rank stops by count, by minutes or by production recovered. Why the three charts disagree and how to get from a Pareto to root cause.
Read the guide → ReliabilityMTBF vs MTTR: Outputs, Not Inputs
MTBF and MTTR summarize what happened. A model needs TTF and TTR distributions per failure mode, and MTBF, MTTR and OEE come out of the run.
Read the guide → ReliabilityWeibull Analysis of Downtime Data
What the shape and scale parameters mean, why to fit each failure mode separately, goodness of fit, and how fits feed a line simulation.
Read the guide → ReliabilityAvailability vs Reliability
The share of time up versus the chance of running without a stop. Inherent vs operational availability, and why buffers change which one matters.
Read the guide →More on line throughput, OEE, bottlenecks and buffers in the ReliaSim® guides.