SMU ENGINEERING
SM
ENGINEERING MANAGEMENT, INFORMATION AND SYSTEMS DEPARTMENT
STATISTICAL QUALITY CONTROL
EMIS 7364/5364 / STAT 5344
COURSE SYLLABUS
COURSE DESCRIPTION
This course provides an introduction to statistical quality control methods that can be applied to
meet the demand for ever increasing levels of product and service quality. Basic methods and
tools for analyzing, controlling and improving product & service quality are covered. Probabilistic
and statistical techniques are applied to modeling and analysis of variability associated with
product production and service processes. Topics include analysis of product design tolerances,
six sigma techniques, statistical analysis of process capability, statistical process control using
control charts, quality improvement and acceptance sampling.
COURSE OBJECTIVES
To provide students with statistical quality control concepts, methods and techniques that have
immediate application (1) on the job for analyzing, controlling and improving quality of products,
processes and services and (2) in other engineering courses to ensure that quality is a factor in
product and service engineering and design. Emphasis is placed on application of methods and
techniques through problem definition and solution & interpretation of results.
PREREQUISITES
None, however some knowledge of basic probability and statistics would be helpful.
INSTRUCTOR
Dr. Jerrell T. Stracener, SAE Fellow
TEXTBOOK
Douglas C. Montgomery, Introduction to Statistical Quality Control, 4th edition, 2001, John Wiley
& Sons, Inc., ISBN 0-471-31648-2
updated 1.12.04
COURSE REQUIREMENTS
Homework:
Examinations:
Project:
Selected problems to be graded
Two: Midterm and Final
Required for Graduate Students
GRADING POLICY
Homework
Midterm Exam
Final Exam
Project
Graduate
25%
30%
30%
15%
Undergraduate
40%
30%
30%
INCOMPLETE GRADE POLICY
A student may receive a grade of I in a course if passing work has been done but for some justifiable
reason, acceptable to the instructor, the student has been unable to complete the full requirements of the
course. In accordance with University policy, at the time an Incomplete is given the instructor must
stipulate in writing to the student and to the department the requirements and completion date that are to
be met and the grade that will be given if the requirements are not met by the completion date. The
maximum period of time that is allowed to complete course requirements and clear the Incomplete grade
is 12 months after the end of the semester in which the Incomplete was received. If the Incomplete grade
is not cleared by the date set by the instructor or by the end of the 12 months deadline, the instructor will
initiate the grade change to the grade provided, or to an F if there is no alternate grade.
DISABILITY ACCOMMODATIONS
Students needing academic accommodations for a disability must first contact Ms. Rebecca Marin,
Coordinator, Services for Students with Disabilities (214-768-4557) to verify the disability and establish
eligibility for accommodations. They should then schedule an appointment with the professor to make
appropriate arrangements. (See University Policy No. 2.4.)
RELIGIOUS OBSERVANCE
Religiously observant students wishing to be absent on holidays that require missing class should notify
their professors in writing at the beginning of the semester, and should discuss with them, in advance,
acceptable ways of making up any work missed because of the absence. (See University Policy No.
1.9.)
EXCUSED ABSENCES FOR UNIVERSITY EXTRACURRICULAR ACTIVITIES
Students participating in an officially sanctioned, scheduled University extracurricular activity will be given
the opportunity to make up class assignments or other graded assignments missed as a result of their
participation. It is the responsibility of the student to make arrangements with the instructor prior to any
missed scheduled examination or other missed assignment for making up the work. (University
Undergraduate Catalogue)
COURSE TOPICS
Course Introduction
 Six Sigma Concepts and Techniques
Modeling and Analysis of Process Capability
 Modeling Process Capability - Normal, Lognormal & Weibull
 Measures of Process Capability - Process Capability Ratios
 Analysis of Process Capability - Statistical Analysis
 Measures of Process Capability - Process Capability Ratios
 Analysis of Process Capability - Statistical Analysis
 Inferences About Process Quality
 Statistical Tolerance Limits - Analysis & Specification
 Process Design & Improvement
Statistical Process Control
 Basic Concepts and Mathematical Basis
 Control Charts Variables
 Control Charts for Attributes: p, c and u charts
Acceptance Sampling
 Basic Concepts and Mathematical Basis
 Acceptance Sampling for Attributes
 Acceptance Sampling by Variables