MS4012: Quality Control

Academic Units3
SemesterBoth
Pre-requisite(s)Nil
Co-requisite(s)Nil

Course Instructors

Professor Li ShuzhouAssistant Professor Jie ShenMr Raymond Thomas

Course AIMS

This course is about the modern use of quality management and statistical methods for quality control and improvement. The main objectives are two -fold, firstly, s to introduce statistical theory and methods used in quality control and quality assurance. Secondly, is to bring forth the importance of quality management as an essential part of manufacturing and business competitive strategy.

Intended Learning Outcomes

By the end of this course, you (as a student) would be able to:

  1. Explain the concepts of probability and basic statistics
  2. Identify the commonly used distributions and use them to calculate probabilities
  3. Make statistical estimation of confidence limits and intervals
  4. Perform suitable hypothesis testing in a practical scenario
  5. Describe the dynamic of quality management in modern manufacturing and business environment
  6. Apply quality control techniques creatively to meet both manufacturing and business needs
  7. Consciously apply the divergent thinking, convergent thinking and decision-making steps in quality analysis.
  8. Work with specialists of their own discipline and other disciplines as well as leading project teams on quality related matters.
  9. Arrive at practical solutions to quality problems through proper quality analysis.

Course Content

Concepts of probability and basic statistics (mean, median, variance, percentile, outlier) and discrete (Bernoulli, Binomial, Poisson, Hypergeometric) & continuous (Exponential, Normal, Student’s) probability distributions. Statistical estimation of confidence limits and intervals. Tests of hypothesis. Type - I and II errors. Statistical process control, Basic quality concepts, quality management, quality costs and productivity improvement, and acceptance sampling.

    Reading and References

    Suggested reading:

    • Statistics for Engineers and Scientists, William Navidi, 3rd edition, McGraw-Hill International Edition
    • Statistical Quality Control, Douglas Montgomery, 7th edition, John Wiley & Sons, International Student Version

    Additional reading:

    • Probability and Statistics for Engineers and Scientists, Ronald E. Walpole, Raymond H. Myers,Sharon L. Myers, Keying Ye,9th Edition, Pearson