| Course Syllabus
|
| General Information |
|
Course Number: InIn4078
Course Title: Statistical Quality Control
Credit-Hours: Three
|
| Course Description |
| Prerequisites |
| InIn 4010, Probability and Statistics for Engineers or InIn4012, Probability for Engineers. |
| Textbook and References |
 | Montgomery, D. C.; 2001, Introduction to
Statistical Quality Control, 4th Edition, John Wiley and
Sons. |
| Banks, J; 1989, Principles of Quality Control, 1st. Ed., John Wiley
and Sons. |
| Duncan, A. J; 1986, Quality Control and Industrial Statistics,
Richard D. Irwin, 5th. Ed. |
| Grant and Leavenworth; 1996, Statistical Quality Control, 7th. Ed.,
McGraw Hill. |
| Kolerik, W. J; 1999, Creating Quality: Process Design for Results, 1st
Edition, McGraw-Hill. |
| Montgomery, D. C. and Runger, G. C; 1999, Applied Statistics and
Probability for Engineers, 2nd Edition, John Wiley and
Sons. |
| Ryan, T. P; 2000, Statistical Methods for Quality Improvement, 2nd
Ed., John Wiley and Sons. |
| Vardeman, S. B. and Jobe, J. M.; 1999, Statistical Quality Assurance
Methods for Engineers, 1st. Ed., John Wiley and Sons. |
| Wadsworth, H. M; Stephens K. S; Godfrey, A. B; 1986, Modern Methods
for Quality Control and Improvement, John Wiley and Sons. |
Purpose |
| This is a course primarily designed for majors in Industrial Engineering; however, it is
appropriate for engineering students with a basic background in probability and statistics and
interested in the production of quality good and services. The purpose of the course is to
prepare technically competent engineers in the areas of statistical process control, process
capability analysis, statistical tolerance setting, and basic acceptance
sampling procedures. This
course is a requirement in the B.S. in IE curriculum. |
| Course Goals |
After completing the course, the student should:
| Understand the strategic importance of quality. |
| Have developed abilities to identify, formulate, analyze, and solve
quality control problems. |
| Be able to select and apply appropriate statistical models to process
control situations. |
| Understand the statistical basis of control charts, process capability
analysis, and acceptance sampling. |
| Understand the concepts of process capability and measurement system
capability. |
| Know the different types of sampling procedures, their statistical
basis, their properties, and their limitations and pitfalls. |
| Have enhanced his/her abilities to
 | engage in life-long learning |
| work on teams |
| present results in effective oral presentations and written reports |
|
| Use Minitab, Excel and MathCad to perform statistical analysis and
mathematical calculations, and interpret the results. Be aware of the ethical and legal consequences of quality control
problems on him, the company, and the public welfare. |
Requirements |
| All students are expected to come to class and to the labs all the time, on time, and prepared;
do all assigned readings and related homework; actively participate in class discussions and lab
activities; and satisfy all assessment criteria to receive credit for the course. |
| Laboratory Work: |
| Laboratory practices, exercises, and drills have been designed to enhance the student's learning
experience and, consequently, they are considered a major part of the class. All students are
expected to participate. All labs require a written report; some of them will be completed during
the labs, but most of them will be turned in at the beginning of the next lab session (usually a
week later). Most lab reports are done in teams (usually, three students per team), however,
your name cannot appear in a report if you were not present during the corresponding lab
practice. |
| Department and Campus Policies |
| Class attendance: Class attendance is compulsory. The University of Puerto Rico, Mayagüez
Campus, reserves the right to deal at any time with individual cases of non-attendance.
Professors are expected to record the absences of their students. Frequent absences affect the
final grade, and may even result in total loss of credits. Arranging to make up work missed
because of legitimate class absence is the responsibility of the student. (Bulletin of Information
Undergraduate Studies, pp 39 1995-96) |
| Absence from examinations: Students are required to attend all examinations. If a student is
absent from an examination for a justifiable reason acceptable to the professor, he or she will
be given a special examination. Otherwise, he or she will receive a grade of zero of "F" in the
examination missed. (see Bulletin of Information Undergraduate Studies) |
| Final examinations: Final written examinations must be given in all courses unless, in the
judgment of the Dean, the nature of the subject makes it impracticable. Final examinations
scheduled by arrangements must be given during the examination period prescribed in the
Academic Calendar, including Saturdays. (see Bulletin of Information Undergraduate
Studies) |
| Partial withdrawals: A student may withdraw from individual courses at any time during the
term, but before the deadline established in the University Academic Calendar. (see Bulletin of
Information Undergraduate Studies) |
| Complete withdrawals: A student may completely withdraw from the University of Puerto Rico,
Mayagüez Campus, at any time up to the last day of classes. (see Bulletin of Information
Undergraduate Studies) |
| Disabilities: All the reasonable accommodations according to the Americans with Disability Act
(ADA) Law will be coordinated with the Dean of Students and in accordance with the particular
needs of the student. |
| Ethics: Any academic fraud is subject to the disciplinary sanctions described in article 14 and 16
of the revised General Student Bylaws of the University of Puerto Rico contained in Certification
018-1997-98 of the Board of Trustees. The professor will follow the norms established in articles
1-5 of the Bylaws. |
| General Topics
|
| Session |
Topic |
Reference |
| Part I: PROCESS CONTROL |
| 1 |
Introduction to control charts. Chance and assignable causes of quality variation |
Secs. 4.1 and 4.2. |
| 2-3 |
Statistical aspects of control charts. Rational Subgrouping. Detection and
interpretation of patterns on control charts |
Secs. 4.3 to 4.7. |
| 4-6 |
Control charts for variables. X-Bar and R charts (statistical basis, charts based on
standard values, development and use of these charts). |
Secs. 5.1 and 5.2. |
| 7-9 |
Control charts for variables. X-Bar and S charts (statistical basis, charts based on
standard values, development and use of these charts). |
Secs. 5.3
to 5.6. |
| 10-13 |
Control charts for attributes. The p chart (statistical basis, charts based on standard
values, development and use of these charts, variable sample size, OC Curve) |
Secs. 6.1
and 6.2. |
| 14-15 |
The C and U charts. (statistical basis, charts based on standard values, development
and use of these charts, variable sample size, OC Curve) |
Sec. 6.3
to 6.5. |
| 16 |
Exponentially Weighted Moving Average |
Sec. 7.2. |
| 17-19 |
Multivariate Quality Control |
Sec. 8.4.1. |
| Part II: PROCESS CAPABILITY STUDIES |
| 20 |
Gage and Measurement Capabilities |
Sec 9.6 |
| 21-22 |
Process Capabilities Studies |
9.1 to 9.5. |
| 23-24 |
Setting Specification Limits on Discrete Components |
9.7 and 9.8 |
| Part III: ACCEPTANCE SAMPLING FOR ATTRIBUTES |
| 25 |
Introduction to Acceptance Sampling. Advantages and disadvantages of acceptance
sampling. Types of sampling plans. |
Sec. 13.1. |
| 26-28 |
Single sampling plans for attributes. Introduction and definitions. The OC Curve.
Design of a single sampling plan. |
Sec. 13.2. |
| 29-30 |
Military Standard 105E |
Sec. 13.4. |
University of Puerto Rico. Mayagüez Campus