In this final paper, the purpose and the quality control methodology using control charts is presented. The procedures such as data analysis that should be done before using the control chart are described in detail, as well as guidelines for selecting the control chart regarding the type of process being analyzed. A clear classification of control charts is presented and a general insight into each of them is given. Precise design instructions for each of the charts are given alongside the expressions for the calculations of parameters such as control limits, expectations, standard deviations, process capability, etc. Using the free trial of Minitab software package various visualizations are shown for different cases. The parameters of the average response time and average run length with respect to the sample size were also visualized, which facilitated the presentation of the alpha and beta risks of the process. Furthermore, the importance of using SPC software packages in today's industries was realized, and a general overview of commercially available SPC software packages with comments and reviews of the same is given. Examples in the paper show the wide applicability of control charts to different types of processes. With quality control principles in mind, an analysis of the process results is given. Finally, the results are commented and then a conclusion is given.