ESI4221 Industrial Statistics / Quality Control  
Hui Yang


Textbook: Douglas C. Montgomery, Introduction to Statistical Quality Control, 6th Edition, 2008, John Wiley & Sons, Inc 

References: 


K.S. Krishnamoorthi and V. Ram Krishnamoorthi, A First Course in Quality Engineering, 2nd Edition, 2011, CRC Press Douglas C. Montgomery and George C. Runger, Applied Statistics and Probability for Engineers, 5th Edition, 2010, John Wiley & Sons, Inc., New York. 
Course Objectives: 


To understand the basic concepts of quality monitoring. To understand the statistical underpinnings of quality monitoring. To learn various available statistical tools of quality monitoring. To learn the statistical and economical design issues associated with the monitoring tools. To demonstrate the ability to design and implement these tools through laboratory experiments. 
Topics: 


Introduction to Statistical Quality Control (Deming, Six Sigma, DMAIC) 

Quality Concepts and Statistical Analysis Software (Excel and Matlab) 

Modeling Process Quality (statistical measures, discrete distributions, continuous distribution, probability plotting) 

Inferences about Process Quality (Hypothesis testing, statistical estimation and linear regression) 

Methods and Philosophy of SPC 

Control Chart for Variables (xbar and R charts, xbar and S charts) 
Control Charts for Attributes (p chart, np chart, c chart)  
Process and Measurement System Capability Analysis  
CUSUM and EWMA Control Charts  
Laboratory and Problem Sessions  


Grading Policy 


Exam 1 – 35%
Grading scale will be used: A: 90+; B: 80+; C: 70+; D: 60+, F: <60 (College of Engineering Rule: Only grades of C or better will be accepted in all Math, Science, and Engineering courses). 
Excel Demos of Statistical Control Charts 


Control charts for variables: (Xbar
and R charts,
Xbar and MR charts) 
Examples of Manufacturing Processes 


Battery Manufacturing Quality Control
(http://www.youtube.com/watch?v=u0x_y18lcns) 
Software 


EXCEL and MATLAB will be used for some homework assignments in this class. It is available in College of Engineering computer laboratories, or obtain the student version for use at home. 
Matlab Tutorial 

http://www.mathworks.com/academia/student_center/tutorials/launchpad.html
http://www.math.ufl.edu/help/matlabtutorial/ 