Software development for statistical process control Easy C.C.

This piece of work consists of a research made in order to develop a software which can be used in phase I of the implementation of Statistical process control (SPC), which is the application of statistical methods for monitoring and controlling a process to ensure that it operates at its full potential to produce conforming product. It will allow different industries to use control charts as tools for achieving process stability and reducing process variability. Montgomery (2011) states “the manufacturing process must therefore be stable or repeatable and capable of operating with little variability around the target or nominal dimension.” And his solution is SPC tools. However, as it is already known, total quality inspection represents an impractical work according to the premise that things have to be done right at first time. But, the existing variation in every process represents a problem when this statement is applied. Control charts are one of the most important tools of SPC allowing the identification of assignable causes of variation for their control and further elimination; the control chart was invented by Walter A. Shewhart; he introduced the control chart while working for Bell Labs in the 1920s. (Montgomery 2009). The two phases of the control chart (the learning and control phase) are truly relevant for the following research. In the first phase, the sample must be analysed whether it is normally distributed or not, also if the data has some discrepancies in order to eliminate them. According to the results, the central value of the parameter that is being monitored and the lower and upper control limits are properly set. Development Of Software For Statistical Process Control. The control phase which is the second phase has the objective to represent the observations on the graph along the time in order to detect trends or out of control situations. The Easy CC software will calculate the Control limits based on the historical data. If there is any Point that is outside the control limits, the user must investigate, looking for potential assignable causes. Consequently the software will point out any outlier for the user who should work on the assignable causes that cause the outlier. The software will analyse the performance of the process with different control charts, taking into account parameters such as the ARL, real alpha, real Beta and ATS.