Many companies underestimate the extent to which quality defects affect their profitability. Typical cost drivers include excessive testing, inefficient processes, rework, and material consumption due to scrap. Added to this are indirect expenses such as downtime, changeover times, and schedule changes. Quality costs also have an impact in the administrative area: more meetings, more approval loops, more documentation – all of which tie up resources that are then lacking elsewhere. All in all, this results in high process costs that are rarely recorded directly as quality costs, but in reality have a negative impact on the bottom line.
The first step in reducing quality costs is to make quality defects visible in the first place. They often remain hidden because they are not immediately apparent at first glance. Some defective products may be sorted out during production – but what about the small deviations that only become apparent later or are never documented? In order to systematically identify such weak points, a combination of data analysis, process observation, and feedback is required: In practice, this means regularly recording and evaluating key figures such as scrap rates, rework times, and complaint rates. If deviations accumulate on certain machines, with certain products, or during certain shifts, this is a clear indication of process problems. Internal audits can also help to identify potential sources of error at an early stage.
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