《Quality Management》Course Syllabus Ⅰ、Course Introduction 1、Course No.：BU308 2、Course Name(Chinese/English)：质量管理/Quality Management 3、Period/Credits：36/2 4、Department：Department of Operations Management 5、Pre-reading：Probability Theory and Mathematical Statistics 6、Students Category： Senior Undergraduate 7、Textbook, Reference Books： Introduction to Statistical Quality Control (5e), Douglas Montgomery, Wiley 2005.
Ⅱ、Course Characters and Objects Quality Management (QM) is a philosophy adopted by a continually growing number of companies with national and global customers. One major component of QM in industrial and manufacturing production processes is Statistical Quality Control (SQC). In the corporate marketplace, businesses now require knowledge of SQC principles which, in turn, requires an integrated effort among its employees. Not only will statisticians be required to apply SQC techniques, but management, engineers, and all those involved in producing and marketing a product must be familiar with the benefits of SQC. In this course, students will learn about many statistical methods commonly used by industry to monitor and ultimately improve the quality of products resulting from industrial processes. Although the course will emphasize the application of these methods, theoretical justification for the methods will also be provided.
Ⅲ、Contents and Requirements As follows: 质量管理 第 1 页 共 4 页
Chapter 1
Quality Improvement in the Modern Business Environment (1.5
classes) §1-1
The Meaning of Quality and Quality Improvement
§1-2
A Brief History of Quality Control and Improvement
§1-3
Statistical Methods for Quality Control and Improvement
§1-4
Management Aspects of Quality Improvement
Chapter 2
Modeling Process Quality（2 classes, i.e., one week） Describing Variation
§2-2
Important Discrete Distributions
§2-3
Important Continuous Distributions
§2-4
Probability Plots
§2-5
Some Useful Approximations
Chapter 3
§2-1
Inferences about Process Quality（2 classes） Statistics and Sampling Distributions
§3-2
Point Estimation of Process Parameters
§3-3
Statistical Inference for a Single Sample
§3-5
What If There Are More Than Two Populations?
Chapter 4
§3-1
Methods and Philosophy of Statistical Process（1 class） §4-1 Introduction §4-2 Chance and Assignable Causes of Quality §4-3 Statistical Basis of the Control Chart §4-4 The Rest of the “Magnificent Seven” §4-6 An Application of SPC
Chapter 5 Control Charts for Variables（2 classes） §5-1 Introduction §5-2 Control Charts for x and R §5-3 Control Charts for x and s §5-4 The Shewhart Control Chart for Individual Measurements §5-5 Summary of Procedures for x , R and s §5-6 Applications of Variables Control Charts Chapter 6 Control Charts for Attributes（1.5 classes） §6-1 Introduction §6-2 The Control Chart for Fraction Nonconforming §6-3 Control Charts for Nonconformities (Defects) §6-4 Choice Between Attributes and Variables Control Charts 质量管理 第 2 页 共 4 页
§6-5 Guidelines for Implementing Control Charts Chapter 7 Process and Measurement System Capability Analysis（1 class） §7-1 Introduction §7-2 Process Capability Analysis Using a Histogram or a Probability Plot §7-3 Probability Capacity Ratios §7-4 Process Capability Analysis Using a Control Chart §7-8 Estimating the Natural Tolerance Limits of a Process Chapter 9 Other Univariate Statistical Process Monitoring and Control Techniques（0.5 class） §9-2.1 Modified Control Limits for the x Chart Chapter 12 Factorial and Fractional Factorial Experiments for Process Design and Improvement（2.5 classes） §12-1 What is Experimental Design? §12-2 Examples of Designed Experiments in Process Improvement §12-3 Guidelines for Designing Experiments §12-4 Factorial Experiments §12-5 The 2k Factorial Design §12-6 Fractional Replication of the 2k Design Chapter 14 Lot-by-Lot Acceptance Sampling for Attributes（1 class） §14-1 The Acceptance-Sampling Problem §14-2 Single-Sampling Plans for Attributes §14-3 Double, Multiple, and Sequential Sampling Chapter 15 Other Acceptance-Sampling Techniques（0.5 classes） §15-1 Acceptance Sampling by Variables Note: there are 0.5 classes for course review and answering questions. So, total classes = 15.5 + 0.5 = 16 (8 weeks).
Ⅳ、Experiment Contents and Requirements Some homework might require students do some lab work on Minitab.
Ⅴ、Requirement for Students Ability Development This course helps the students to grasp the principles of quality management, the basic theories and methods of control chart, factorial 质量管理 第 3 页 共 4 页
experiment design and acceptance sampling, and the use of software packages Minitab.
Ⅵ、Others Following are recommended： 1、Teaching Website, Teaching Reference Website: 2、Study Requirements 3、Characteristic Requirements 4、Course Requirements Class participation 10% Homework 30% Final Exam 60%
Writer：赵文辉
Seal of the Department：
Signature of the Supervisor of the School(or Department)：
Date：2010 年 11 月
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