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Production BI: stops, losses and recording quality

2 min reading
Editorial illustration: Production BI: stops, losses and recording quality

A production panel depends on the quality of the notes. Without distinguishing downtime, lack of demand and lack of recording, the report may attribute incorrect causes to the loss of capacity.

How to evaluate this decision

Define events, units and operational calendar. Compare lines and products with context, preserving changes in pacing or configuration. Stop categories need to be understandable for the recorder and useful for the decider. Do not present specific technical calculations as universal without validating the definitions with the company's engineering team.

Criteria for comparing proposals

  • Capture: identify beginning, end, resource and reason, with treatment for incomplete records.
  • Quality: flag overlapping intervals, missing data and retroactive adjustments.
  • Analysis: allow exploring losses by context without adding incompatible categories.

A scenario to discuss with the supplier

Hypothetical example: a machine is not working during part of the shift. Treating the entire interval as a stop creates a false diagnosis. The dashboard should show the gap until the conference.

What to validate upon delivery

Compare known periods with operational records and validate causes with the team. Test shifts by crossing dates and later corrections.

Prepare the conversation about the project

Quantum9 can integrate notes and build the analysis. Bring definitions, sources and improvement decisions; the first delivery must prioritize reliability and traceability before expanding indicators.

Data and BI · Map the company's priority

Deepen the assessment

Read the context guide for this hire.

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Tell us about the problem, the systems involved and what needs to change. From there, we define the next step and the scope of the conversation.