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The study of process improvement techniques which will ultimately lead to quality products. Process improvement includes the reduction of variability in process during the manufacturing stage resulting in improved product quality. A team problem solving approach utilizing data acquisition systems and statistical methods are emphasized. Practical industrial applications of process monitoring and control are reviewed.
Prerequisites/Corequisites: Prerequisite: STAT 2600, IME 2610 or equivalent. (Recommended)
Credits: 3 hrs.
Notes: Open to Graduate Students Only.
Lecture Hours - Laboratory Hours: (3-0)
Alwan Layth C., Statistical Process Analysis, Irwin/McGraw-Hill Companies, 2000.
Mitra, Amitava, Fundamentals of Quality Control and Improvement, Mcmillan Publishing Company, 1993.
Bothe, Davis R., Measuring Process Capability: Techniques and Calculations for Quality and Manufacturing Engineers, McGraw-Hill Companies, Inc., 1997.
Johnson, Curtis, Process Control Instrumentation Technology, Prentice Hall, Inc., NJ, 1997.
Western Michigan University
F-222 Parkview Campus
Kalamazoo, Michigan 49008-5336
Revision Date: Spring 2004