Διαγράμματα ελέγχου για τον αριθμό των ελαττωμάτων μιας διεργασίας
Control charts for the number of nonconformities of a process
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Αριθμός ελαττωμάτωνAbstract
Control charts are a widely used technique used to directly detect the variability of specific causes in a process. Control charts aim to detect in time any kind of variability that may lead to the variable of the production process under study, outside the manufacturer's specifications. Therefore, control charts are used to keep a feature in control.
In this dissertation we present an overview of control charts for Poisson data. More specifically, in Chapter 1 we briefly present the general theory of control charts. We focus mainly on control charts for the number of defects and the average number of defects in a process.
In Chapter 2 we present in detail the Poisson control diagrams and their performance. In these control charts a single statistical function is plotted to monitor the average value of the process. In addition, we calculate the average run length (ARL) of the Poisson control charts.
Finally, in Chapter 3 we compare the control charts having done the groupings on them, based on the average run length and suggest which control chart is most suitable for detecting an out-of-control signal for various shifts of the mean value.