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Mock demo · simulated data

Downtime Pareto

Four simulated lines, three shifts, twelve weeks ending 27 Sept and a controlled list of 14 reason codes. Change a filter; select a reason to see its longest stops. Availability, performance, quality and OEE follow the line, shift and period filters.

91%

Availability

506.8 h lost of 5760.0 h

89%

Performance

Run rate vs. ideal

97%

Quality

First-pass good units

79%

OEE

Availability x performance x quality

Where the lost hours went

506.8 h across 1016 stops in the current view, ranked by lost time. Select a row to inspect it.

  1. 80% of lost time is above this line

Reason detail

Select a bar to see its stop count, average length, group and the longest events behind it.

Lost hours by week

6 Jul20 Jul3 Aug17 Aug31 Aug14 Sept

What if the top causes were cut?

Simple arithmetic on the simulated view above, not a forecast: remove a share of the time lost to the top reasons and see the effect.

89.3 hrecovered, about 11.2 shifts of 8 h

+1.6 ptsavailability, to 92.8%

+1.3 ptsOEE, to 80.0%

Targeting: Bearing or drive failure, Product changeover, Waiting for material.

Reason catalogue (14 codes in 6 groups)
  • R01 Product changeover (Changeover)
  • R02 Tooling change (Changeover)
  • R03 Bearing or drive failure (Equipment failure)
  • R04 Sensor fault (Equipment failure)
  • R05 Hydraulic leak (Equipment failure)
  • R06 Jam at infeed (Equipment failure)
  • R07 Waiting for material (Material)
  • R08 Wrong component staged (Material)
  • R09 First-off approval wait (Quality hold)
  • R10 Out-of-tolerance adjustment (Quality hold)
  • R11 Operator adjustment (Minor stop)
  • R12 Label or print fault (Minor stop)
  • R13 Compressed air pressure drop (Site and people)
  • R14 No operator cover (Site and people)