MetronIndustrial AI OS

Supporting capability

Guided Loss Analysis

Use verified production events and asset context to support root-cause review, prepare the next action, and keep every recommendation traceable.

  • Connect each finding to the production events behind it
  • Separate Availability, Performance, and Quality losses
  • Keep plant-impacting actions under authorized review
Coordinated automated production cells inside a modern smart factory.Illustrative scene

Outcomes

What you'll gain

  • Shorter preparation for daily production reviews
  • Consistent evidence for recurring-loss discussions
  • Draft follow-up actions with named owners
  • A complete record of recommendations and decisions

Product tour

Inside guided loss analysis

Start with a specific line, shift, asset, or OEE factor. The analysis stays tied to the operational context and source events.

Illustrative product scenario — not a customer deployment or live plant feed.

Illustrative DemoSupporting capability signal61%

Deterministic sample values show the interaction pattern. Production deployments bind this view to governed Industrial Core signals.

Static accessible summary for this illustrative chart
Supporting capability signal61%
ContextDeterministic sample values show the interaction pattern. Production deployments bind this view to governed Industrial Core signals.
Loss analysisDEMO

Review why Packer B missed target through its A/P/Q breakdown and the events linked to the material-shortage loss.

61%OEE
72%A
42mLoss
RequiredReview
Recommendation queueDEMO

Review, approve, or dismiss. Every decision logged.

Day on the floor

How it changes your day

  1. Plant managers enter the review with the loss evidence already organized
  2. Operations and maintenance work from the same production history
  3. Approved follow-up remains linked to the original event and owner

Accuracy

Analysis with operational controls

The capability supports investigation and prepares recommendations. It does not bypass plant authority, change controls autonomously, or hide the evidence behind a conclusion.

  • Source production events remain visible
  • Critical actions require authorized approval
  • Loss totals stay consistent with the production console

Review your factory improvement case

Bring one production line, its current data sources, and a priority loss. We will map the measurement, workflow, and proof of value.

Discuss your factory