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Published on February 17, 2014

Author: chandupulapa

Source: authorstream.com

Control Charts for Variables: Control Charts for Variables PowerPoint Presentation: 8-3 Introduction to Control Charts 8-3.1 Basic Principles Types the control chart Variables Control Charts These charts are applied to data that follow a continuous distribution. Attributes Control Charts These charts are applied to data that follow a discrete distribution. PowerPoint Presentation: 8-3 Introduction to Control Charts 8-3.1 Basic Principles Important uses of the control chart Most processes do not operate in a state of statistical control Consequently, the routine and attentive use of control charts will identify assignable causes. If these causes can be eliminated from the process, variability will be reduced and the process will be improved The control chart only detects assignable causes. Management, operator, and engineering action will be necessary to eliminate the assignable causes. PowerPoint Presentation: 8-3 Introduction to Control Charts 8-3.1 Basic Principles Popularity of control charts 1) Control charts are a proven technique for improving productivity. 2) Control charts are effective in defect prevention. 3) Control charts prevent unnecessary process adjustment. 4) Control charts provide diagnostic information. 5) Control charts provide information about process capability. The following steps are involved in construction of Control Charts.: The following steps are involved in construction of Control Charts. Step1: Take k samples and each of the size ‘n’ Step2:caluculate sample mean, range etc for each of the samples. Step3:Caluculate Grand Mean, Grand Range etc. Step4:Caluculate UCL,CL and LCL by using UCL=E(T)+3 S .E(T) CL =E(T) LCL =E(T)-3 S.E(T) PowerPoint Presentation:  Plot UCL,CL and LCL on L-shape of graph by taking sample numbers on X-axis & test statistic on Y-axis. X- BAR AND RANGE CONTROL CHARTS: X- BAR AND RANGE CONTROL CHARTS X-BAR AND RANGE CONTROL CHARTS: X-BAR AND RANGE CONTROL CHARTS Conclusion: Conclusion If all the sample points lie with in the line UCL,CL and LCL. The process is said to be statistically under control(or) Chance causes of variation present in the data. Which cannot be identified & eliminated. If at least one of the point goes outside of the control limit process is said to be statistically out of control or assianable causes of variation present in the data which are to be identified and eliminated.

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