A mock demo for plant and operations teams
A few causes cost most of your hours. See which.
DowntimeLens turns a pile of machine stops into a ranked Pareto of reasons, shows availability and OEE for any line and shift, and lets you test what recovering the top causes would be worth.
All data on this site is simulated (1016 synthetic stops).
Take the total apart
Same simulated stops, two very different conversations.
Try it: a total, or a ranking?
506.8 h
lost across 1016 stops in 12 weeks. Where do you start?
A single figure says how much was lost, not what to fix first.
What it shows
Ranked reasons
A Pareto of lost time by reason code, with the cumulative share and the point where 80% is reached.
Availability and OEE
Availability, performance, quality and OEE for any line, shift and period, side by side.
What-if on the top causes
Cut a share of the top reasons and see recovered hours and the points gained, before anyone commits to a project.
Controlled reason codes
Every stop is recorded against a list, so Monday meetings argue about causes, not about how to read the notes.
From a stop to a decision
Step 1
Capture
Operators record each stop with a reason code from a short controlled list.
Step 2
Rank
Lost time is totalled by reason, line and shift, so the biggest causes rise to the top.
Step 3
Decide
Test the value of fixing the top causes and take the answer to the next review.
Want this on your own data?
This demo is a sketch of what is possible. Algoshred builds tailored versions for plant and operations teams.
Talk to Algoshred