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Link to Blog: https://bhavyamangla.com/spc-graphica... Link for Udemy: https://www.udemy.com/course/power-of... This video will explore "SPC: Graphical Interpretation of Control Chart (Mean and Range)". Walter Shewhart and W Edward Deming have done tremendous work to understand the variation in the process and its causes through statistical studies (mean, range, UCL, LCL, Cp, Cpk, Pp, Ppk, p, np, c, u). Understanding these variations is important to improving quality, reducing costs, and increasing productivity (QCD). Control charts are plotted to understand the variation in the process for variable and attribute data. Different types of control charts are plotted based on the type of data and criticality of the problem. By understanding these charts and taking suitable actions, the process can be brought under statistical control. The purpose of the mean and range chart is to understand the process variation. Based on the 8 different scenarios, the user can analyse and decide the possible cause of the variation, whether it can impact the process or not, whether any action needs to be taken or not and what actions need to be taken on 6M so that process variation can remain under control in the manufacturing process. #spc #statistics #specifications #variations #msa #spc #error #iso #ppap #standard #bias #lineart #stability #sensitivity #graphicdesign #ndc #gauge #risk #producer #consumer #measurement #chart #discrimination #mean #range #equipment #data #category #study #precision #accuracy #true