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Statistic Process Control
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Meanwhile a statistic processing is as method state of the art. It makes on basis of statistic models a realistic description of production and it for accompanying examinations possible.It permits thereby a reliable forecast of production conditions and examination results, essential factors for the improvement of quality and productivity. They avoid errors and stabilize manufacturing processes.
The principle is completely simple: Clearly defined rule maps provide for a transparent diagram of the current operational sequence.They reduce the rules which can be considered to a visible number, with which you and your coworkers can evaluate the visible results directly and time near locally. Corrections take place directly and with the knowledge of the responsible in each case coworker. It intervenes actively and responsible in the manufacturing and shortens thereby decision ways.Besides the in-house authority is strengthened. By the visible making of quality relevant parameters you create investment bases and minimize uncalculable risks: They make your enterprise fit for the future.
The SPC software module of easyCAQ unites now for you all these achievements of a reasonable SPC system with simple operability and intuitively comprehensible logic.
The SPC module process ability investigation makes the graphic evaluation possible of the characteristic values in the form of original measured value map, histogram, probability net, as well as quality rule map.By means of statistic computing procedures (Shewart, DGQ) upper and lower interference borders can be computed with easyCAQ. These interference borders serve as border, with whose reaching the machine operators for the correction of the bad becoming characteristic values must seize measures.
Generally applies: the more highly the cpk value is the better, is the process in the layer the demanded tolerances to be kept.
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