Outline of Teaching ENSE 627
(Spring 2000, Section 0101)
Chapter 1 Introduction
1.1 History of Quality Control and Management
1.2 Concept of Quality Systems
1.3 Applications of Information Technology
1.4 Importance of Statistical Methods
Chapter 2 Quality Management Systems
2.1 The need calling for Systems Approach
2.2 Total Quality management and Deming's 14 Points
2.3 The Malcolm Baldrige National Quality Award
2.4 ISO 9000 Registration
Chapter 3 Fundamentals of Engineering Statistics
3.1 Process Variation
3.2 Characterization of Data
3.3 Probability Distributions
3.4 Importance of the Normal Distribution
Chapter 4 Statistical Process Control
4.1 Process Capability Study
4.2 Control Charts
4.3 Acceptance Sampling
4.4 Inspction Standards Used by Industry
Chapter 5 Analysis of Data
5.1 Comparing Two Treatments
5.2 Significance Tests and Confidence Intervals
5.3 Principle of Randomization
5.4 Comparing More Than Two Treatments
Chapter 6 Design of
Experimentation
6.1 Factorial Design at Two Levels
- Needs analysis in obtaining mathematical
models through experiments
- Normalization of variable scales
- Design matrix and orthogonality
- Evaluation of main and interaction scales
- Derivation of empirical models
6.2 Study of Variation (high-order interactions
and duplicates)
- Estimation of the variation level from
duplication
- Estimation of the variation level using
high-order interactions
- Significance test using t-distribution
6.3 Fractional Factorial Design at Two Levels
- Concept of design generator(s)
- Concept of design resolution and
confounding patterns
Chapter 7 Model Building
7.1 Method of Linear Regression
- Concept of residuals
- Minimization of residuals during the model
building
- Matrix representation of normal equations
- Relations between linear regression and
factorial design
7.2 Response Surface Method
- Approximation to obtain non-linear models
- First design and path determination
- Composite design at and/or near optimality
Guidelines for Developing Course Projects
In today's workplace, team work has been a
common practice. Working together offers a unique opportunity to
bring the concept of systems engineering into the learning
process. In this course, the participating students should be
organized as groups of four or five people. The procedure listed below should
be followed.
- Identify a real-life problem for the team
which calls for the need of improving quality.
- Prepare a one-page report to define the
objective(s) of the project, and basic methodology to
follow, and a working plan to complete the project. The
one-page project proposal should be submitted to the instructor
by the end of the February. Each team will be given 15
minutes to present the project proposal to the class.
- Work on the schedule as planned and
prepare a progress report to summarize what has been completed
what difficulties you may have been experiencing, and the
next step to follow. Each team is required to give a
presentation to the class. Each team will have 30 minutes.
The progress report should have 5-10 pages in length and
hand it to the instructor.
- Complete all the work define in the
project. Prepare a final report to summarize the entire
project. The final report should have 15-20 pages in
length. Each team will have 30 minutes to give a
presentation to the class.
Email: zhang@eng.umd.edu