Statistics 566
Statistical Techniques in
Industrial Processes

Syllabus


Offered: Fall Semester 1997
Monday and Wednesday, 5:05 - 6:20

Instructor: Dr. Ramón V. León
337 Stokely Management Center
Office phone: 974-1636
Home and Fax phone: 691-5622
e-mail: rleon@utk.edu
home page: http://funnelweb.utcc.utk.edu/~leon/
Office Hours: Monday and Wednesday, 1:30 - 2:30

Objective: Help students gain competency in applying the statistical techniques most useful in process improvement. The operational definition of competency used in the course is (1) conceptual understanding measured by ability to pass exams, (2) ability to do measured by ability to work in teams to solve realistic case study problems, and (3) ability to communicate and sell measured by ability to produce persuasive and informative management reports.
Textbooks: Management Development Center notes available at Graphic Creations
The Power of Statistical Thinking: Improving Industrial Processes. M. G. Leitnaker, R. D. Sanders, C. Hild. Addison Wesley, 1996. (Optional)

Prerequisite: Previous exposure to Statistics or consent of instructor.

Topics covered: Ishikawa's seven quality improvement tools.
Variation
Basic Shewhart control charts and extensions -- use, interpretation, rational subgrouping
Process capability
Tolerances
Operational definitions
Study of measurement processes
Variance components
Simple Design of Experiments, Taguchi Philosophy
Grading: Grades will be determined based on a midterm exam, a final exam, individual homework, and team projects according to the following formula.

Grade = (Midterm + Final Exam + Individual homework + 2 x Team projects ) / 5



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