Department of Industrial and Manufacturing Engineering - Leading Process and Product Improvement

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IME 3180 - Statistical Quality Control

This Course Is No Longer Offered As Of Summer 2010


Catalog Description:

Methods of applying statistics and probability theory to control production processes. Application of computer programs to analyze quality control problems.

Prerequisites & Corequisites: Prerequisite: IME 2610.

Credits: 3 hours

Lecture Hours - Laboratory Hours: (3 - 0)


Prerequisites by Topic:

  1. Basic electronic communication skills; word processing, electronic spreadsheet, Internet access, email.
  2. Working knowledge of descriptive statistics, mean, variance, standard deviation, graphical display methods, probability, confidence intervals, (IME 2610).
  3. Working knowledge of inferential statistics; estimation, hypothesis testing,
    (IME 2610, 2620).
  4. Working knowledge of probability distributions and their applications (IME 2610).

Course Objectives:

At the conclusion of the semester the students should have the ability to:

  1. Understand the fundamentals of quality and the methods used to control quality.
  2. Have an appreciation for the quality philosophies of leaders in the field.
  3. Be able to select and apply fundamental quality improvement tools including flowcharting, cause & effect diagrams, and Pareto analysis.
  4. Comprehend the concept of statistical process control and be able to set up and interpret both variable and attribute control charts.
  5. Be able to understand and apply lot-by-lot acceptance sampling.
  6. Comprehend the concept of quality costs and be able to categorize costs.
  7. Be cognizant of ISO-9000 and the various quality standards in existence.
  8. Be able to conduct and interpret the results of a process capability analysis.
  9. Be able to assess the adequacy of a measurement system.
  10. Be proficient in the application of MINITAB to analyze quality situations.
  11. Be able to pass the American Society for Quality certification examination as a Quality Engineer.

Textbooks:

Applied Statistics for Engineers and Scientists, D.M. Levine, P.P. Ramsey & R. Schmidt, Prentice- Hall, Inc. Upper Saddle River, N.Y. 07458, 2001, ISBM 0-13-488801-4.

MINITAB, Version 15, MINITAB, Inc., 3081 Enterprise Drive, State College, PA, 16801.*

*MINITAB is available for use in the CAE Center, Parkview Campus. You do not need to purchase this software. The “student” version of MINITAB will not handle all problems/techniques covered in this class.


References:

  1. Advanced Product Quality Planning and Control Plan (APQP), Available from Automotive Industry Action Group, Tel. 248-358-3003, 1995.
  2. Barrentine, L.B, Concepts for R&R Studies, ASQ Quality Press, Milwaukee, WI 53202, 1991, ISBN 0-87389-108-2.
  3. Hoyer, R.W. and B.B.Y. Hoyer; “What is Quality?” Quality Progress, Vol. 34, No. 7, July 2001, American Society for Quality, 600 N. Plankinton Ave., Milwaukee, WI 53203.
  4. Measurement Systems Analysis (MSA), 3rd Ed., Available from Automotive Industry Action Group (AIAG), Tel. 248-358-3003, 2002.
  5. Production Part Approval Process (PPAP), 3rd Ed., Available from Automotive Industry Action Group (AIAG), Tel. 248-358-3003, 2000.
  6. Statistical Process Control (SPC), Available from Automotive Industry Action Group, Tel. 248-358-3003, 1995.
  7. Wheeler D.J. and R.W. Dyday, Evaluating the Measurement Process, 2nd Ed., SPC Press, Knoxville, TN 37919, 1989, ISBN 0-945320-06-X.

Revision Date: Spring 2008

 

Department of Industrial and Manufacturing Engineering
Western Michigan University
Kalamazoo MI 49008-5336 USA
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