IS WORK OVER?

Automation index

How much of a Production engineer’s job can AI already do?

An OEE and a sequencer come earlier. Getting the shift out without stopping the line for nothing do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Production engineer

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
OEE, sequence and the shift plan.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Line, changeovers and the micro-stop.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Layout, times and the work standard.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
Supervisors, unions and the shift that turns.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
In-line quality and the batch that cannot ship.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Hit the plan, and not dressing the OEE.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%25%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • OEE
  • sequence production
  • changeovers
  • layout
  • work standards
  • micro-stops
  • shift plan
  • in-line quality

Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141

Tram driver

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Checks, log and the cab.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

No public source provides a precise figure. This is our estimate.

24%8%+1.9
Badly parked car, calls and Control.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

No public source provides a precise figure. This is our estimate.

14%18%+2.5
Hit nobody, and make the terminus.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%19%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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