1. TOTAL QUALITY MANAGEMENT CONTROL CHARTS FOR VARIABLES AND ATTRIBUTES

3. Continuous Variables: Take on a continuum of values. Ex.: length, diameter, thickness Modeled by the Normal Distribution Attribute Variables: Take on discrete values Ex.: present/absent, conforming/non-conforming

4. Discrete Variables Classes Defectives – The presence of a non-conformity ruins the entire unit – the unit is defective Example – fuses with disconnects Defects – The presence of one or more non-conformities may lower the value of the unit, but does not render the entire unit defective Example – paneling with scratches

6. X- BAR AND R CHART

7. Example of x-bar and R charts: Step 1. Calculate sample means, sample ranges, mean of means, and mean of ranges.

8. Example of x-bar and R charts: Step 2. Determine Control Limit Formulas and Necessary Tabled Values

9. Example of x-bar and R charts: Steps 3&4. Calculate x-bar Chart and Plot Values

10. Example of x-bar and R charts: Steps 5&6: Calculate R-chart and Plot Values

11. © Wiley 201011 P-Chart Example: A production manager for a tire company has inspected the number of defective tires in five random samples with 20 tires in each sample. The table below shows the number of defective tires in each sample of 20 tires. Calculate the control limits. SampleNumber of Defective Tires Number of Tires in each Sample Proportion Defective 1320.15 2220.10 3120.05 4220.10 5220.05 Total9100.09 Solution:

12. © Wiley 201012 P- Control Chart

15. ANSWER: Upper Control Limit = 20.22 Lower Control Limit = 1.54

16. © Wiley 201016 C-Chart Example: The number of weekly customer complaints are monitored in a large hotel using a c-chart. Develop three sigma control limits using the data table below. WeekNumber of Complaints 13 22 33 41 53 63 72 81 93 101 Total22 Solution:

17. © Wiley 201017 C- Control Chart

18. For ‘u’ chart refer KV web portal. THANK YOU…!!!