MSES 5130: Product Reliability and Quality (3 hours)

Instructor: Leticia AnayaSpring 2015

Office: Engineering Technology Dept. Time: MW 2:30-3:50 p.m.

Office Hours: Before and After class Meeting Place: F185

And by special appointment

Phone: 940-565-2366

Email:

COURSE DESCRIPTION:

Processes and techniques of assuring the quality of industrial products; reliability and maintainability, sampling probability and statistical process control; quality control management.

COURSE OBJECTIVES:

Upon completion of this course, the student should be able to:

  1. Understand the management philosophies that exist in the quality field.
  2. Become familiar with the statistical concepts used to solve quality related problems.
  3. Apply Statistical Process Controls for gathered variable and attribute data.
  4. Become familiar with sampling techniques.
  5. Understand the DMAIC process for Six Sigma implementation.
  6. Understand process capability and tolerances.
  7. Understand reliability concepts for in series, parallel and mixed systems.
  8. Simulate a manufacturing process for quality testing.

Student Learning Outcomes: (Course Objectives Supported)

a) Solve quality related problems that utilize statistical concepts.

b) Apply Statistical Process Control techniques to manufacturing situations.

c) Use an engineering software to simulate a manufacturing operation for quality purposes.
Instructional Objectives:

1. Conditions

a) Students can use pens, paper, calculator and textbooks during lecture.

2 Criteria:

a) Students are required to attend lectures and laboratory classes.

b) Homework and laboratory reports must be turned in on the due date.

c) Makeup examination will not be given.

3. Outcome Competencies

a) Homework will be used to access understanding of materials covered in

lecture.

b) Examination will be used to assess understanding of materials covered

during the semester in both lecture and laboratory.

d)Laboratory reports will be used to assess hands-on application of theory and

use of test equipment and software.

COURSE REQUIREMENTS:

Attendance—Attendance is expected at all times. Lectures, videos, labs, class assignments and class discussions contain important information to do well on exams.

Required Text/Associated Software:

Devor, R.E., Chang, T., and Sutherland J.W., (2007) Statistical Quality Design and Control: Contemporary Concepts and Methods, Second Edition. Prentice Hall; ISBN 0-13-041344-5

Optional Text:

Gitlow, H.S., and Levine, D.M.,Six Sigma for Green Belts and Champions: Foundations, DMAIC, Tools, Cases and Certification, FT Press ISBN 0-13-117262-3

Grading Criteria:

Exam 1 22.5%

Exam 2 22.5%

Lab/Projects/Homework 30%

Final 20%

Attendance, Attitude, Class Participation 5%

Missed Exams/Pop Quizzes: Do not count on the instructor to provide you with a make-up exam or make-up pop quizzes. The instructor teaches too many students and too many classes and does not simply have the time to be making up exams for each student. Make-up exams will only be administered under extreme circumstances with a documented university excuse. No make-up pop quizzes will be allowed. At any point of the semester, the instructor can decide to give extra credit assignments and/or pop quizzes.

Expected Grade Distribution:

>= 90 grade points = A

>= 80 and <90 grade points = B

>=70 and <80 grade points = C

>=60 and < 80 grade points = D

< 60 grade points = F

The instructor reserves the right to change this grade distribution at the end of the semester. If any changes occur, the changes will be less stringent that the distribution above.

Disabilities Accommodation:

The University of North Texas complies with Section 504 of the 1973 Rehabilitation Act and with the Americans with Disabilities Act of 1990. The University of North Texas provides academic adjustments and auxiliary aids to individuals with disabilities, as defined under the law. Among other things, this legislation requires that all students with disabilities be guaranteed a learning environment that provides for reasonable accommodations of their disabilities. If you believe that you have a disability requiring accommodation, please see the instructor and/or contact the Office of Disability Accommodation at 940 565-4343 during the first week of class.

EXPECTED COURSE OUTLINE-Instructor reserves the right to deviate from schedule.

Class Meets Tuesday through Thursday / Lecture / Book Chapter
WEEK 1 / Evolution of Quality Design and Control
History of the Quality Revolution
If Japan can, why can’t we?
Quality Gurus Philosophies: Deming Philosophy, Taguchi, Joseph Juran / 1,2
WEEK 2 / Characterization of Data, Probability, Discrete and Continuous Distribution / 3
WEEK 3 / Normal Distribution, Hypothesis Testing of Means and Deviations, Confidence Intervals / 4
WEEK 4 / Conceptual Framework for Statistical Process Control, Shewhart’s Concept of Statistical Control-Review for Exam 1 / 5
WEEK 5 / Exam 1
WEEK 6 / Control Charts for Variable Data / 6,9
WEEK 7 / Control Charts for Attribute Data / 13
WEEK 8 / Sampling Methods and Techniques-Independent Sampling, Dependent Sampling, Monte Carlo Sampling, Stratified Sampling / 7
WEEK 9 / Process Capability Assessment and Metrics
Tolerances / 10,11
WEEK 10 / Exam 2
WEEK 11 / Analysis of Two Level Factorial Design Analysis / 18
WEEK 12 / Matlab Simulation Training and Project Introduction
WEEK 13 / Reliability Concepts-Exponential, Poisson, Relationship. MTTR, Operational Availability
WEEK 14 / DMAIC Model & Six Sigma Philosophy
WEEK 15 / DMAIC Model
Final Exam Scheduled Monday May 11, 2015 from 2:00 p.m. to 4:00 p.m.

Additional Policies and Procedures.

My commitment to the students is to train them to the best of my ability to compete in an ever changing technological world. I understand that these students need to be prepared to compete with students with many other higher educational institutions for positions and opportunities. Because of this, I will strive to ensure that the training that they receive is comparable (and may even be better) to the training that other students receive in other institutions . I also want to inform my students that my commitment to their success extends beyond graduation. I want to inform my students that my commitment in providing this training also extends to the community in which these students will eventually end up working in. Under no condition will I certify a student to be competent when he/she has not proven to have reached the level of competence needed to perform engineering or engineering management work!

Just like I have a commitment to these students, I also have a set of expectations from these students. I expect the students to show up on time; to attend classes regularly; to be respectful of other students, their teaching assistants, and myself; to turn in their assignments as scheduled, and to be ready to learn each and every time we meet. I expect all students to recognize that the teaching assistant that will be assigned for this class is a student who is working under my supervision. I expect all students to show respect and consideration to the laboratory teaching assistant at all times.

  1. All rules relating to academic dishonesty will be enforced in accordance with University policies. Cheating on quizzes, examinations and laboratory assignments, and plagiarism on various papers and reports are types of disciplinary misconduct for which penalties are assessed under the UNT Code of Student Conduct and Discipline. Major responsibility for implementing the University's policy on scholastic dishonesty rests with the faculty. Be advised that the instructor of this course supports and fully implements this policy. The following actions will be taken when evidence of such misconduct is observed. The student will be presented with the evidence of misconduct and given an opportunity to explain same. Based on the outcome of this private conference, the matter will be either dropped or the student will be given a grade of "F" in the course and be referred to the Dean of Students for further counseling and/or disciplinary action.
  1. State common law and federal copyright laws protect my lectures. They are my own original expression and I record them at the same time that I deliver them in order to secure protection. Whereas you are authorized to take notes in class thereby creating a derivative work from my lecture, the authorization extends only to making one set of notes for your own personal use and no other use. You are not authorized to record my lectures, to provide your notes to anyone else or to make any commercial use of them without expressed prior permission from me.
  1. During the course, handouts will be provided to enhance the presentation of certain concepts. These materials are provided strictly for instructional purposes and may other wise be restricted. There is no authorization for further reproduction of distribution of handout materials beyond that intended to teach the course.
  1. This syllabus is subject to change at any time during the semester with changes to be announced in class.
  1. Students should schedule at least one hour per lecture hour for study outside class. Students should schedule at least one hour per laboratory hour for outside work to prepare for the laboratory, use of open laboratory hours, and to complete the required laboratory documentation.
  1. Grades are based, in part, on the student's ability to communicate. Well written English is expected in all course work and is a factor in laboratory report grades. The student’s ability to orally communicate the results of laboratory exercises and class assignments is also monitored.
  1. Each student should retain graded lecture notes, pop quizzes, homework, tests, software-generated files, and laboratory reports to document errors in recorded grades.
  1. Requests for review of graded work must be submitted during the lecture in which such work is returned to the students. The request should be accompanied by a written justification of the request including any supporting data.
  1. The UNT Catalog procedures on cheating and plagiarism will be vigorously enforced. It is the duty of all students to protect their work so it is not available to others for submission as their efforts. This is especially true of files that are generated on the computer. Students who knowingly allow others to use their work are partners in this unethical behavior.
  1. There is no limit to the use of calculators for lecture, labs, pop quizzes, formal tests, or final examination.
  1. Challenges to the course grade must be presented within 60 days of receipt of grade notices mailed by the university. This will insure that instructor’s records are still available to allow a review of the assigned grade. You should first discuss your complaint with the instructor. If you wish to carry it further, contact the Program Coordinator by calling (940) 565-2022. To further pursue your complaint, contact the Department Chair at (940) 565-2022, but ONLY after first discussing your concern with the previous two individuals.
  1. If appropriate, Material Safety Data Sheets (MSDS) are maintained on file in the department for your review. Access to these documents may be provided by the:
  • instructor of this course,
  • Program Coordinator, or
  • Department Secretary.

Seek initial access through the instructor or Coordinator rather than the secretary.

  1. An I (incomplete) grade is given only for extenuating circumstances and in accordance with University and Departmental Policies.