LECTURE 10

LECTURE 10 - ENGR 4045U Quality Control Lecture 10 1 Schedule Week 3 Part III Basic Methods of Statistical Process Control and Capability Analysis

Info iconThis preview shows pages 1–9. Sign up to view the full content.

View Full Document Right Arrow Icon
ENGR 4045U Quality Control Lecture 10 1
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Schedule Week 3 Part III: Basic Methods of Statistical Process Control and Capability Analysis. Chapter 5: Methods and Philosophy of Statistical Process Control. Chapter 6: Control Charts for Variables. Week 4 Chapter 7: Control Charts for Attributes. Chapter 8: Process and Measurement System Capability Analysis. Week 5 Midterm-1 2
Background image of page 2
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. 3
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
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 4
Background image of page 4
Review Cusum Control Charts for Monitoring the Process Mean Subgroups Exponentially Weighted Moving Average Control Chart (EWMA) Design and Robustness of EWMA Control Charts 5
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Shewhart Control Charts Advantages: Useful when process is out of control Identify causes that result in large shifts, i.e. useful in diagnosis Disadvantages: It uses only the information from last sample provided Insensitive to small process shifts (i.e. in the order of 1.5 or less) 6
Background image of page 6
Other Control Charts Cumulative Sum (Cusum) Control Charts Exponentially Weighted Moving Average (EWMA) Control Charts 7
Background image of page 7

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Cusum Control Charts Plot cumulative sum of the deviations of the sample values from a target value For n>=1, is the average of the jth sample
Background image of page 8
Image of page 9
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 10/18/2010 for the course ENGR 3360 taught by Professor Ahmadbarari during the Fall '10 term at UOIT.

Page1 / 38

LECTURE 10 - ENGR 4045U Quality Control Lecture 10 1 Schedule Week 3 Part III Basic Methods of Statistical Process Control and Capability Analysis

This preview shows document pages 1 - 9. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online