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

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
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

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

Analyse my job

Jobs with similar scores

  1. 230Biomedical engineer25%
  2. 231Civil engineer25%
  3. 232Petroleum engineer25%
  4. 234Robotics engineer25%
  5. 235Telecom engineer25%
  6. 236Electrical engineer25%