VPAA__________________________
Date____________________________
Vice President/ Academic Affairs Office use only
SUNY College of Technology at Alfred
SCHOOL:
DEPARTMENT:
COURSE NAME:
COURSE NUMBER:
SEMESTER OFFERED:
PREREQUISITE:
COURSE FORMAT:
COURSE LEVEL:
FINAL PROJECT:
Management and Engineering Technologies
Mechanical Engineering Technology
Quality and Process Control
MECH 6243
Spring
Math 2124
3 Credits: Three 1-Hour Lectures.
Upper
No
Date Approved by Faculty Senate: ____________________________________
COURSE DESCRIPTION
Topics covered in this course include an introduction to quality control, statistical quality
control in manufacturing, cost of quality, control charts, hypothesis testing and other
quality improvement methods, process capability, methods and philosophy of statistical
process control, process design and improvement, design of experiments, process
optimization, lot-by-lot acceptance sampling, other acceptance sampling techniques.
STUDENT OBJECTIVES
Upon completion of this course the student will:
1. Demonstrate an understanding of the fundamentals of quality and process control
through quizzes, tests, exams, and presentations.
2. Construct and use control charts as tools for continuous quality improvement.
3. Apply a statistical approach on quality and process control and perform an
acceptance or rejection procedure.
4. Conduct a comprehensive and statistical quality and/or process assessment
procedure in order to identify the causes of defects/poor process performance.
5. Construct and perform a design of experiments procedure and determine the
factors that need to be adjusted and set up in order to improve quality and or
process.
Page 1
TEXTBOOK(S)
Quality Control + CD, Dale H. Besterfield, ISBN: 0-13-113127-3, Prentice Hall, Latest
Edition.
PRE-REQUISITE BY TOPIC
A general knowledge of basic statistics and adequate preparation in traditional lower
division math will be helpful in this course.
DIVISION OF SUBJET MATTER
Topic
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
Philosophy and Fundamentals
Total Quality Management, Principles and Practice
Total Quality Management, Tools and Techniques
Fundamentals of Statistics, Review
Statistical Concepts and Techniques in Quality Control
Statistical Concepts and Technique in Quality Improvement
Fundamentals of Probability, Review
Statistical Process Control
Control Charts for Variables
Control Charts for Attributes
Process Capability Analysis
Lot-by-lot Acceptance Sampling by Attributes
Other Acceptance Sampling Systems
Reliability
Design of Experiments (DOE)
The Taguchi Method or Robust Design
Quality Control in The Service Sector
Management and Planning Tools
Exam
TOTAL
Total
Lecture
Hours
2
3
2
3
2
2
3
3
2
2
2
3
2
3
3
2
1
2
3
45
LABORATORY PROJECTS
None
LIBRARY USAGE
None
Page 2
COMPUTER USAGE
Extensive use of MinitabTM, and Microsoft ExcelTM to make student familiar with the
statistical quality control features embedded in these software packages, and facilitate
comparison with solutions by hand.
BIBLIOGRAPHY
Grant, Eugene, Statistical Quality Control, McGraw Hill, Latest Edition.
Moen, Ronald, Thomas W. Nollan, Lloyd P. Provost. Quality Improvement through
Planned Experimentation, McGraw Hill, Latest Edition.
Montgomery, Douglas C. Introduction to Statistical Quality Control, John Wiley & Sons,
Latest Edition
___________________________
_______________________
Dean of School
Department Chair
____________________________
________________________
Instructor of Course
Date
Page 3
STATE UNIVERSITY OF NEW YORK
College of Technology at Alfred
Request for Course/Curriculum Submission
Request Submitted By: Dr. WM Anselm Tshibangu____________________
Date:_9/30/05__________________
Course/Curriculum Title: MECH 6243/Quality and Process Control/Curriculum 622_____________
Forward this with your proposal package to the Curriculum Development and Review Committee after
answering the following questions.
1.
What are the primary purposes of the course/curriculum change?
To provide the high Tech and problem solving skills needed by local manufacturing companies,
and industrial partners as well as to respond to SME recommendations in terms of filling up the
competency gaps.
2.
What will be the impact on current programs - dropping courses, combining courses taught
less frequently, increase in required courses, ...?
None
3.
In what ways will faculty be affected - teaching load, professional development, ...?
None
4.
What are the resource requirements - faculty resources, equipment, supplies, travel,
classroom and/or laboratory space, computer usage, library, ....?
Only basic resource requirements will be needed. MS Excel, and statistical analysis packages
such as Minitab or SPSS packages are enough for the course. Specific software package, if any,
comes with the book.
5.
What date do you recommend the change to become effective?
Fall 05
6.
What do you anticipate will be the effect on the employability and/or transferability of your
students?
Will enhance employability of students because course responds to employers’ needs, and at the
same time, fills up the competency gaps identified by the Society of Manufacturing Engineers.
Transferability to higher degree programs (e.g. Master’s) also increased because most MS
programs list this course among the requirements.
7.
Has the proposal been discussed at a full department meeting?
New program, new course/proposal discussed with industrial experts (Industrial Advisory Board
Committee) and department faculty.
8.
Which other departments would this proposal affect; has it been discussed with them?
No department will be negatively affected. To the contrary, students from all departments may
benefit from this course.
9.
Has a list of at least five (5) available resources, pertinent to the course, been included in the
course outline? Yes.
Page 4