LECTURE 11

# LECTURE 11 - ENGR 4045U Quality Control Lecture 11 1...

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ENGR 4045U Quality Control Lecture 11 1

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Schedule Week 6 Part IV: Other Statistical Process-Monitoring and Control Techniques. Chapter 9: Cumulative Sum and Exponentially Weighted Moving Average Control Charts. Chapter 10: Other Univariate Statistical Process Monitoring and Control Techniques. Week 7 Chapter 11: Multivariate Process Monitoring and Control. Chapter 12: Engineering Process Control and SPC. 2
Schedule Week 8 Part V: Process Design and Improvement with Designed Experiments. Chapter 13: Factorial and Fractional Experiments for Process Design and Improvements. Week 9 Chapter 14: Process Optimization and Designed Experiments. Week 10 Midterm-2 3

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Standardized x-bar and R charts If the process standard deviations are different for different parts, use standardized x-bar and R charts. 4
Standardized Attributes 5

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Modified Control Chart Use specified sample size n A process fraction nonconforming Type I error probability This means that a process fraction nonconforming that we will accept with probability (1- ) 6
Modified Control Limits for X-bar chart 7

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Example Process normally distributed with target value of the mean of 20, standard deviation = 2= LSL=8, USL=32, if process is centered at target, This is a process with six-sigma where the drift of the mean up to 1.5 standard deviations off target without causing serious problems. 8 0 . 2 pk p C C
Solution 9

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Acceptance Control Chart Approach to monitor the fraction of the nonconforming units or the fraction of units exceeding specifications, called Acceptance Control Chart Consider the risk of accepting a process that is operating at an unsatisfactory level (type II error or -risk) 10
Acceptance control chart Monitor fraction of nonconforming or exceeding specification Design control chart based on n and process fraction nonconforming that we reject with probability 1- 11 n Z Z USL n Z Z LSL n Z LCL n Z Z USL n Z Z USL n Z UCL L U

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