Augos Factory / Proof
Proof
Results you can recompute.
Every case shows the hours measured on the line, the month, the method, and what it leaves out. Rand values appear where the plant shares each product's sales value. Customer words appear only verbatim, with a name and a public source.
Augos measures lines for food, beverage, packaging, coatings, building-products and automotive-parts manufacturers.
Cases
Three plants, three different lessons
Food packing
Three identical lines. One packed half as much.
One fault code cost line 2 61.4 hours in a month. By month 8 it cost 2.4.
Read the case ›
Building materials
The line ran fine in the rain. It broke down as the material dried.
Raw-material stops cost 16.3 hours one winter. The next winter, planned for the drying months, they cost 1.6.
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Food and beverage
One belt type cost 125 hours in a quarter. Six quarters later, it cost 10.
One failed belt cost a processing section 26% of its unplanned downtime in a quarter. Six quarters later, that belt type cost 10.2 hours.
Read the case ›In their words
What a customer says
"The Augos system is providing me with live OEE data, that is essential to monitor my production performance in real-time, and also assist me to analyse what is causing inefficiencies and downtime."
Erik Thiersen, Production, Cape Herb & Spice · five-star Google review of Augos · Read it on Google ›
Every case
Every Augos Factory case study
Manufacturing
The factory that wasn't broken
A plant reporting an alarming 16.46% OEE wasn't underperforming, it was being measured wrong. Reclassifying mislogged 'Power Off' time and correcting quality inputs lifted the true figure to 44.70% and exposed the real bottleneck.
Read the case ›Food & beverage
Everyone blamed the filler. It was the air.
A bottling line lost 34.5 hours to its air supply in one month. Two years on, the latest month lost none.
Read the case ›Manufacturing
The monthly total said fine. One unit was wearing out.
Mechanical stops on one cutting unit rose from 3.6 to 16.2 hours a month, then fell back to 3.0.
Read the case ›Food & beverage
Two faults cost 392 hours a quarter. Now they cost 27.
A printer and a filler kept stopping a packing line for hours at a time. Nine months later they barely register.
Read the case ›Packaging
Seven fewer hours a day. More good production.
One line moved from about 23 hours a day to 16, and made more good production time than before.
Read the case ›Food & beverage
Wrapper stops cut from 43 hours a month to under 7.
Two stretch wrappers stopped a palletising line 555 times a month. Centred loads and a tougher film cut their losses to 6.5 hours.
Read the case ›Food & beverage
218,000 tiny stops, hidden in one bucket
No single breakdown, yet OEE sat at 26.5%. The losses were 218,000 interruptions lumped into one uncategorised bucket, until a change in data resolution made them visible.
Read the case ›Packaging
Same number of blade stops. A quarter of the time lost.
Blade stops cost 65.2 hours a quarter. Faster recovery cut that to 16.2, with the blade stopping just as often.
Read the case ›Metals
Same coil change, 7 minutes or 40. Now it takes 9.
The record showed which shift changed coils fastest. That team trained the others, and 20 minutes came out of every change.
Read the case ›How we report a result
Five rules every case follows
Hours from the platform
Every figure traces to a dated platform report, named in the case.
Named by industry only
Plants are anonymised: no client, site, product, province or operator names in an exhibit. Months are counted from the start of monitoring.
Rand only where the plant shares its values
Each product's sales value from the plant, never a borrowed figure. Otherwise the case reports hours and counts.
What it leaves out, stated
Each case says what it does not yet show, such as a rand value, a later month or a quote, until the plant supplies it.
Their words, unedited
Quotes are verbatim, with a name and a public source, and never turned into a headline.
Research
Interruptions (short stops) on South African lines
How much paid time interruptions take across the lines we measure, how often they happen, and why the stop threshold changes what a report shows. Anonymised, with the method and the data.
Try it on yours
The fastest proof is your own line
The three-month paid pilot measures one of your lines against a success test written down before it starts, and reviewed on day 60.
Ask the plants yourself.
We'll put you in touch with a client running the same kind of line, where they agree to it.
- A plant like yours
- Their reports, in their words
- Prices in rand, ex VAT
A manufacturing specialist replies within two business hours to set a 30-minute call.