Outline of Teaching ENSE 627 and ENPM 647

(Fall 1997, Section 0101)

Chapter 1 Introduction

1.1 Course Objectives: Statistical Methods and Their Applications in Design, Manufacturing, and Quality Management.

1.2 Keys to a successful Learning

1.3 Homework Grading Policy

1.4 Team Organization

1.5 Video "Total Quality Management", SME

1.6 Review of Basic Statistics

  1. Statistics and its applications in manufacturing
  2. Characterization of experimental measurements
  3. Probability distributions
  4. Central limit theorem

1.7 Application of Engineering Statistics: Statistical Quality Control

  1. Control charts for attributes and variable

Chapter 2 Analysis of Data

2.1 Comparing Two Treatments

2.2 Significance Tests and Confidence Intervals

2.3 Principle of Randomization

2.4 Comparing More Than Two Treatments

2.5 Latin Square Design

Chapter 3 Design of Experimentation

3.1 Factorial Design at Two Levels

  1. Needs analysis in obtaining mathematical models through experiments
  2. Normalization of variable scales
  3. Design matrix and orthogonality
  4. Evaluation of main and interaction scales
  5. Derivation of empirical models

3.2 Study of Variation (high-order interactions and duplicates)

  1. Estimation of the variation level from duplication
  2. Estimation of the variation level using high-order interactions
  3. Significance test using t-distribution

3.3 Fractional Factorial Design at Two Levels

  1. Concept of design generator(s)
  2. Concept of design resolution and confounding patterns

Chapter 4 Model Building

4.1 Method of Linear Regression

  1. Concept of residuals
  2. Minimization of residuals during the model building
  3. Matrix representation of normal equations
  4. Relations between linear regression and factorial design

4.2 Response Surface Method

  1. Approximation to obtain non-linear models
  2. First design and path determination
  3. Composite design at and/or near optimality

Chapter 5 Quality Management Systems

5.1 Deming Philosophy of Never-Ending Improvement

5.2 Malcolm Baldrige National Quality Award

5.3 ISO 9000 International Quality Standards

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.

  1. Identify a real-life problem for the team which calls for the need of improving quality.
  2. 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.
  3. 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.
  4. 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