Sample factoryIllustrative synthetic data. We built this from a real plant we assessed; we cannot share a client's private data, so this is a representative example of the analysis.

Pythia Industries
Sample dashboard

Benchmarks

Press OEEread next to on-time delivery
53%
custom molder typical 55-68%world-class 78-82%

Of the time the presses are scheduled to run, the share that comes off as a good, saleable part.

Availability x Performance x Quality

68%

uptime, the weakest of the three

82%

cycle speed vs a fair standard

95%

good parts, first time

TEEP (every clock hour, nights and weekends too)

53% OEE across ~two shifts of the clock

24%of all the hours in a year the presses make good parts
Comparable benchmarks, you vs a custom molder6 metrics

On-time delivery

The share of orders that ship by the date promised. It keeps OEE honest: a press can post a high OEE running long, easy jobs while the orders customers actually want run late.

91%mid-pack
typ 90-96%best 98-99.5%

Scrap rate, by weight

Plastic you buy that never becomes a shipped part, by weight. Resin is the plant’s biggest cost.

5%mid-pack
typ 3-8%best 0.5-2%

Customer reject rate

PPM

Parts per million reaching the customer defective. Automotive buyers demand under 50, medical under 10.

~1,200 PPMmid-pack
typ 500-2000 PPMbest 25-200 PPM

Machine utilization

Of the press time you could sell, the share actually filled with running work. The gap is hidden capacity you already own, no new press needed.

65%mid-pack
typ 55-75%best 85-97%

Mold changeover

Time a press sits stopped while one mold is swapped for the next. The single biggest lever on uptime here, and the same swap can take two to three times longer on a bad day, so the schedule cannot be trusted.

~75 minmid-pack
typ 45-90 minbest 10-30 min

Sales per employee

Yearly sales over headcount. A low number points at pricing and job mix, not the crew.

$200Kmid-pack
typ 180-250Kbest 300-450K