EOS 515 Engineering Quality Processes


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EOS-515

Instructor:  Dr. David R. Carey    
Email: david.carey@wilkes.edu 
Office: SLC-214
Office Hours: By Appointment

Textbook:
Design for Six Sigma, Creveling, Slutsky, and Antis, Prentice Hall, ISBN 0-13-009223-1

Lecture: Monday and Wednesday 6:30PM to 9:15PM

Course Description:

Applicable quality techniques are presented within the context of research, new product development, plant operations, product support, and risk reduction. Students will learn how to articulate objectives, identify desired outcomes and establish suitable metrics for performance management.

Prerequisite:

Students must be enrolled as a graduate student at Wilkes University (EE, EM, or Business). Students who have completed a four-year degree may enroll with the permission of the instructor. 

Reading Assignments:

Students are expected to read the relevant text book chapters and all handouts by the assigned class period. 

Homework:
The weekly problem sets represent by far the most important element of the course, and where you will learn the most. I encourage you to work on them in groups if you like; the problems will occasionally be difficult and may require more than one head! However, be convinced in the depths of your soul that letting others do the work for you will lead to disaster at test time. A good technique for many students is to try all the problems individually, then to get together with a friend or in a group for the tough ones. Many years of experience have shown that students who do not work the problems thoroughly do not really understand the material and perform poorly at test time. Reading the text is never sufficient! You are expected to do your homework assignments by their due dates and have them available in class. 

Tests:
Two required exams and a required final examination: You may bring calculators, notes and book.

Lectures:
You are responsible for all material covered in the textbook and in lecture, including any announcements made or special handouts distributed in lecture. If you must be absent during a given lecture, check with a friend to make sure you know what was covered.

Lecture Schedule by session :

1 Introduction
2 DFSS Overview
3 Define Phase
4 Measure Phase
5 QFD 
6 QFD Phases (Template)
7 Explore Phase
8 Conjoint Analysis
9 AHP and Pugh Matrix (Template)
10 Capability Analysis
11 Monte Carlo Simulation
12 Develop Phase
13 Design for Lean
14 DOE
15 Data Analysis Tools
16 Implement Phase
17 QFD Control Plan

Grading and Class Policies:  The distribution of points is listed below:
                 
Individual Assignments             35%
Team Assignments                    25%
Project Assessment Paper         20%
Final Project Presentation         20%
Total                                         100%  
  
Grading: Letter grades will not be based on a curve but rather on the following fixed scale: 95% or higher 4.0, 94.9-87.5 3.5, 87.4-80 3.0, 79.9-0 2.0 (.5 will be assigned for top ‰° of each range).   For gradate work, below a 3.0 is failing. The advantage of the fixed scale is that you are not competing with other students to get ahead of the curve. Everyone who works hard can do well in the class.  It is possible that the entire class can receive A (all scores would be 90% or better).  Those who do not do the work will score accordingly.
 
How to succeed in this course: (1) It is expected that a successful student will invest at least twelve hours studying and problem-solving per week outside of class. Do not expect a good grade if you are not prepared to work at least this much.  (2) Read the assigned text before coming to lecture. The importance of this cannot be overemphasized.  (3) Work as many problems as possible on a weekly basis; the assigned ones represent the minimum recommended.  Do these on your own, if possible; then work with other students to solve the problems.  (4) Keep up on a regular basis; cramming doesn't work.

 

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This Page was last update: Monday, July 18, 2011 at 7:02:39 PM
This page was originally posted: 10/2/03; 10:01:30 AM.
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