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- The machine with the highest planned load is not always the bottleneck.<\/li>\n
- Micro-stops, drifting cycle times and blockages move the real bottleneck.<\/li>\n
- A queue upstream, starvation downstream and high running time give it away.<\/li>\n
- A minute lost at the bottleneck is a minute lost for the whole line.<\/li>\n<\/ul>\n<\/div>\n
What skillbyte writes about bottleneck management<\/h2>\n
Masiar Ighani, CEO of skillbyte GmbH, a Cologne company that helps German mid-sized manufacturers integrate AI and develops a planning assistant, published the article Engpassmanagement: Engp\u00e4sse in der Produktion fr\u00fch erkennen<\/a> (“Bottleneck management: detecting production bottlenecks early”) on 16 May 2026. He explains why the bottleneck decides throughput, how to detect it early rather than late, and how to manage it systematically. One sentence sums up the problem in many plants: “Der klassische Fehler ist, einen Engpass erst zu bemerken, wenn sich Auftr\u00e4ge davor stauen.” (The classic mistake is to notice a bottleneck only when orders start piling up in front of it.)<\/p><\/blockquote>\n
The skillbyte article brings the planning view: anticipating bottlenecks and scheduling orders accordingly. This article adds the shop floor view: which measured line data show which machine really limits output, and how do you see that this is changing? A plan is only as good as the capacity figures it calculates with.<\/p>\n
Why the most loaded machine is not always the bottleneck<\/h2>\n
In many plants, the machine with the highest planned load is treated as the bottleneck. That is a sensible starting point, but it rests on planned values: nominal cycle times, shift patterns, changeover assumptions. On the shop floor, three things regularly drift away from them.<\/p>\n
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- Micro-stops are not in the plan.<\/strong> Stops of a few seconds or minutes are rarely recorded. A station with a moderate planned load can therefore have less real capacity than the supposed bottleneck machine.<\/li>\n
- The real cycle time drifts.<\/strong> Wear, variable material or cautious running after an incident lengthen the cycle without any stop being reported.<\/li>\n
- Busy does not mean limiting.<\/strong> A machine that often stops because its output is blocked looks overloaded, but it is actually held back by a downstream station. Conversely, a machine waiting for parts looks underused even though the problem lies upstream.<\/li>\n<\/ul>\n
An example to illustrate: on one line, the milling machine is the most loaded according to the plan. Measurement shows, however, that the downstream washer has many short stops over the shift, its infeed buffer is regularly full, and assembly after it keeps waiting for parts. The bottleneck is then the washer, not the mill. Speeding up the mill would only fill the buffer in front of the washer.<\/p>\n
This leads to a simple rule: a minute lost at the bottleneck is a minute lost for the whole line. A minute lost at another station is often absorbed by the buffer. We covered the basics in Bottleneck Analysis with OEE<\/a>; here the focus is on identifying the bottleneck reliably when the plan and reality diverge.<\/p>\n
![\"Four](\"https:\/\/teeptrak.com\/wp-content\/uploads\/2026\/11\/teeptrak-engpass-finden-en.png\")
<\/figure>\nFive signals that give away the real bottleneck<\/h2>\n
skillbyte describes the bottleneck through two features: orders pile up in front of it, and it shows the highest utilisation. Both can be measured on the line, as long as utilisation is read as actual running time rather than a planned value. Together with three more signals, the picture becomes clear:<\/p>\n
- The real cycle time drifts.<\/strong> Wear, variable material or cautious running after an incident lengthen the cycle without any stop being reported.<\/li>\n
- Micro-stops are not in the plan.<\/strong> Stops of a few seconds or minutes are rarely recorded. A station with a moderate planned load can therefore have less real capacity than the supposed bottleneck machine.<\/li>\n