IS WORK OVER?

Automation index

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

Simulating a line and drafting a procedure can already be farmed out. Planting it into real shifts cannot.

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

Task comparison

Industrial 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
Model processes, balances and a first plant layout.
Estimate

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

22%45%+9.9
Draft procedures, PFDs and operating instructions.
Estimate

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

18%40%+7.2
Analyse cost, bottlenecks and OEE from data.
Estimate

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

16%28%+4.5
Coordinate suppliers, maintenance and production.
Estimate

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

16%18%+2.9
Commissioning and plant trials.
Estimate

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

16%12%+1.9
Capex calls and industrial-safety liability.
Estimate

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

12%10%+1.2
Total100%28%

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

Skills and activities

  • Commissioning and plant trials
  • ingeniero industrial
  • industrial engineer
  • procesos industriales

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

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