Setup reduction is usually accompanied by quality improvement. Why is that? There are several reasons: equipment improvement, elimination of adjustment, and faster feedback on quality are the key ones.
Quality improves when equipment improves: Many machines need to be overhauled and improved as part of setup reduction. Bearings may be worn, there may be oil leaks that require repair, nuts and bolts may be loose, and filters and fluids may be due for replacement. All of these repairs can lead to improvement in capability and repeatability of the machine. This will improve quality. It is also usual to move all key gauges to one point, where they can be easily monitored. This improvement will allow the operator to ensure that the machine is working at an optimum setting at all times. Again, quality will usually improve as a result. Not only machines, but tooling will be improved as part of setup reduction. With more frequent setup, weaknesses in design will be found, and improved. More frequent checks of the last part in a run will ensure that the tooling is kept properly adjusted.
Quality improves when adjustment is eliminated: A key cause of variation in quality is variation in machine settings. Many operators are constantly making small adjustments. One operator sets the machine differently from another. This lack of process control needlessly causes defects and variation. Once the correct settings have been established, there is no need for constant adjustment. It is also frequently found that purchasing agents change vendors to get a better price. While the specifications are apparently followed in material selection, small variations will be found in material quality. Setting the specification properly can be a key element in the elimination of adjustment. This also leads to better quality. The higher yield achieved justifies keeping a tighter specification, and possibly somewhat higher prices. Looking at the system as a whole, rather than from a limited perspective, shows its importance in this instance. Looking upstream, incoming quality from internal operations will also be improved, as variation that causes extended setup time for extra adjustment is discovered and corrected.
Faster feedback leads to better quality: This is a key to quality improvement through setup reduction, as long as setup reduction is followed by batch size reduction. It is possible to improve the learning curve, and to speed up the feedback cycle, when batch sizes are smaller. If a mistake is made, in features, specifications, settings, and other aspects of the production process and product design, it can be corrected next time the product is run. Faster learning also leads to reduction and even elimination of inspection throughout the process. Not having large quantities on hand that need to be depleted should a defect be found, or a design feature changed, the time to improvement is shortened, and equally important, fewer customers will have been inconvenienced. Fast improvement to a feature can also have the beneficial feature of showing the market responsiveness to customer opinion.
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