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

The operational numbers behind uptime, scrap, and delivery, each compared to where custom molders typically land, so you can see whether it is strong or weak.

The operational numbers behind unit cost, quality, and delivery, measured against custom injection-molding benchmarks. The presses are the constraint here, so press OEE leads.

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

Read OEE next to on-time delivery, never alone. A press can post a high OEE running long, easy jobs while the orders customers actually want run late. High OEE on the wrong parts is a trap.

Comparable benchmarks, you vs a custom molder7 metrics

Press OEE

OEE

Of the time the presses are scheduled to run, the share that turns into good, saleable parts. It combines three things: how often the presses are actually running, how fast they run, and how many parts come out good.

53%weak
typ 55-68%best 78-82%

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

Of all the plastic you buy, the share that never becomes a good, shipped part, measured by weight. Resin is the biggest cost in the plant, so every point of scrap is wasted money.

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

Customer reject rate

PPM

Of the parts you ship, how many per million reach the customer defective, the scale buyers use to score quality. A range of 500 to 2,000 is normal for general and commodity parts; automotive buyers demand under 50 and 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 dead 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

Your yearly sales divided by the number of people on the payroll, so it shows how much revenue each person brings in. It follows the floor rather than driving it: if it stays low even after the presses run more, the fix is pricing or which jobs you take, not the crew.

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

Metric detail

live recomputes from your assumptionsest estimated for a shop like this

Unplanned downtime

est.

~14%

8-15% typical

Share of scheduled press time lost to breakdowns, maintenance, and waiting on people or material. The biggest thing holding availability down.

Mold changeover

est.

~75 min

45-90 min typical, best under 30

How long a press sits dead during a mold swap. Worse, the same swap can run two to three times longer on a bad day, so planning cannot rely on it.

Cycle-time efficiency

est.

~78%

80-90% typical

How close the real cycle runs to the fastest the part could safely be made. Cooling is most of a cycle, so trimming cool time that runs longer than the part needs frees real capacity.

Lead time, order to ship

est.

~4 weeks

2-4 weeks typical

How long a reorder on a tool you already have takes to reach the dock. The best shops ship existing-tool reorders in days.

First-pass yield

FPYlive

95%

95-98% typical

Share of parts that pass the first time, with no scrap or rework.

100% minus the 5% scrap rate

Scrap rate, by weight

live

5%

3-8% typical

Of all the plastic you buy, the share that never becomes a good, shipped part, measured by weight. This runs higher than a simple count of rejected parts.

Regrind used

est.

~20%

10-30% typical

Share of feed that is reground runners and scrap blended back in. Not better or worse on its own; too much on the wrong part degrades it, so it is a spec choice, not a scrap fix.

Sales per employee

live

$200K

$180-250K typical

Your yearly sales divided by the number of people on the payroll. It follows the floor rather than driving it: if it stays low even after the presses run more, the fix is pricing or which jobs you take, not the crew.

~$18.0M sales / ~90 employees

Presses per operator

live

~1.2

1-3 typical

How many running presses each operator tends at once. Robots and automation on the press push this up, so fewer people run more machines.

26 presses / ~23 operators a shift

Direct labor, share of sales

live

~16%

12-20% typical

What you pay the operators and material handlers, as a share of sales. Smaller and steadier than resin or machine time, which is why the presses, not the crew, are what matters here.

Energy cost per pound

est.

~$0.08/lb

$0.05-0.10/lb typical

Process power to mold one pound of resin, in dollars. Runs on a Midwest power rate; ABS and glass-filled grades draw more.