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

Blood bank technician

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
Group, screen and the bag crossmatch.
Estimate

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

18%52%+9.4
Fractionate, label and traceability.
Estimate

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

16%40%+6.4
The emergency, the massive and the ID error.
Estimate

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

18%14%+2.5
Donation, apheresis and the donor who feels unwell.
Estimate

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

16%28%+4.5
Stock, expiry and what theatre asks for.
Estimate

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

16%22%+3.5
The right bag and owning the blood group.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • crossmatch blood
  • blood group
  • fractionate products
  • donor apheresis
  • bag traceability
  • massive transfusion
  • label units
  • blood bank

Sources for this job· O*NET 29-2011.00· ESCO/ISCO 3212

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