Practical guides for engineers turning stop logs into decisions: what the averages hide, how to fit and read failure distributions, and how to rank failure modes by what the line gets back.
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 →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 →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 →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 →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 →Set any TTF + TTR pair in the free Designer. It runs in your browser, with no account and no data upload.