ISE 426 Statistical Quality Control
Fall Semester 2009
M,W 2:00 - 3:20 pm
Instructor: Dr. Kurt Palmer
Office: GER 206B
Hours: M,W 10:30 am - 12:00 pm
Prerequisite: ISE 225 Engineering Statistics I
Objective: In this course, you will develop the skills necessary to decide whether or not bulk delivered services and products are of acceptable quality, to investigate the suitability of a process for performance of a given task, and to identify opportunities for immediate performance improvement. You will learn appropriate methods of data analysis using statistical software. You will also be introduced to the philosophy of quality management and briefed on the state of quality assurance initiatives in the international marketplace.
Text: Montgomery, Introduction to Statistical Quality Control, 6th edition
Course Material: Primarily Parts 1, 3, and 6 of the text, plus topics discussed in lecture by the instructor. For details, see the Reading Assignments
Points Breakdown -
Exam #1 130
Exam #2 130
Final Exam 150
Course GRADES will be determined by the distribution of point totals for the class. "Natural groupings" will be used to assign letter grades. The highest scoring group will receive A’s, the next group is the B’s, and so on. A single point will not be the difference between any two letter grades. A "gap" must exist to create a grade boundary.
HOMEWORK assignments will be due on the following Wednesdays:
September 9, 16, 23; October 7, 14, 21, 28; and November 18
Homework will be graded on an "all or nothing" basis. A reasonable attempt at each exercise will earn all 15 points for the assignment. Incomplete assignments will be returned with no points awarded. Late homework will be accepted until noon on the Thursday following the original due date. Completions of returned assignments will be accepted for full credit until noon on the Thursday after the assignment is returned to the class.
A PROJECT will be due on the following date:
Monday, November 23
The project will involve Measurement Capability Analysis and will require data collection during a laboratory session. For this project, you will work in pairs. The project assignment will be distributed about two or three weeks in advance of the due date.
An EXAM will be given on each of the following dates:
Wednesday, September 30 and Wednesday, November 4
Each exam will cover the material presented up to and including the preceding homework assignment. Points will be assigned to each section of the exam. Partial credit will be awarded according to work shown. No re-takes will be allowed. No make-up exam will be given. If you miss an exam, you must take the final exam.
The FINAL EXAM is scheduled for Friday, December 11. It will
be comprehensive and will be graded similarly to the other exams. A student may
elect to omit the final exam, if both exams and the project have been