AI: Failure-exposure estimate

Coming soon

See what a failure could cost, next to what it did.

Costing already reports the losses you observed. A failure-exposure estimate would put a low-to-high range beside that history, so maintenance and production can rank recurring problems.

What it does

What happened, next to what could.

An observed loss is a fact. A range of possible loss is a planning tool. Seeing both on one scale helps decide which problem to fix first.

Coming soon Contact us to hear when it is ready for your plant.
  • Starts from the downtime, speed and scrap losses Costing already reports.
  • Adds a low-to-high range of possible loss beside that history.
  • Uses downtime rate, repair parts, labor, scrap and assumptions the plant approves.
  • Helps maintenance and production prioritize recurring problems.

Sketch C. What happened, next to what could

Today ยท Costing Downtime $42k Speed $18k Scrap $12k Total $72k Possible future low $64k high $91k Range built from downtime rate, repair parts, labor, scrap and approved assumptions
What happened, next to what could. A sketch, not a screenshot. Illustration with fictional data.

What it needs

Costing, plus assumptions you approve.

  • Costing set up for your plant, so observed losses are already reported.
  • Assumptions for repair parts, labor and scrap that your plant approves.

How it works

How it is planned to work, in three steps.

01

Start from observed losses

Costing splits what happened into downtime, speed and scrap.

02

Apply approved assumptions

Downtime rate, repair parts, labor and scrap are combined using assumptions your plant signs off on.

03

Compare the range

A low-to-high range appears beside the history, ready to rank problems.

Put a range on your recurring problems.

Tell us which failures worry you most and we will talk through how an exposure range could sit beside your Costing history.