Obsigen · Use cases · on your computer (Obsigen Runtime)

Maintenance

A maintenance engineer who prepares a weekly line downtime report for the team briefing.

1Input

An export from the production system (start, stop, cause, line) and a photo of the motor nameplate.

interface simulation · sample data

2Process

  1. reads the spreadsheet and the photo; when a column is missing, it asks instead of guessing
  2. calculates downtime frequency and repair time with code - on your computer, in the OS sandbox
  3. draws a chart of downtime by cause and checks it before handing it over
  4. prepares the briefing note - every number points to the spreadsheet row it comes from
  5. saves the report and the chart in your folder; running code requires consent on the device
For engineers
  • input: downtime_line3.csv + nameplate.jpg; a follow-up question when something is unclear
  • MTBF / MTTR computed by code in an isolated environment with a closed network; chart and a docx note
  • output: downtime-report.docx + chart.png in Obsigen/<date>/ via Obsigen Runtime; consent in a dialog on the device

3Result

Report and chart in your folder - on your computer (Obsigen Runtime).

interface simulation · sample data

4Where the data is

The spreadsheet and the photo are stored in a folder on your computer; the model receives what the task requires. Consent to run code is given in a dialog on your device.

where it runs spreadsheet, code and chart: your computer · model: provider in the EEA · report: your folder

Data, layer by layer →

5Company glossary

Terms from this process and how Obsigen remembers them - sample entries in the company glossary:

Line 3
a production-line name, not a row number - Obsigen does not confuse it with row 3 of the spreadsheet
MTTR
measured from the failure report, not from the stoppage - as you define it
briefing
Monday 7:30 a.m.; the note fits on one page

This process in a demo

We show it on an example you bring (line downtime spreadsheet + photo of the nameplate) - no confidential data, online, in 45 minutes. Then a quote and deployment on dedicated infrastructure.

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