STA 4664, Section 82823
Statistical Quality Control
Fall, 2009
M W 1:30 - 2:45, Building 10, Room 1319
Course Title: Statistical Quality Control
Prerequisite: A course in statistics at the level of Introductory Business Statistics or permission of the instructor (based on equivalent work-experience-based knowledge) is required. No previous knowledge of SAS is required.
Text: Introduction to Statistical Quality
Control, 6th Edition, D. C. Montgomery.
Instructor: Jim Gleaton
Office No: 14/2717
Phone No: 620-3727
E-mail: jgleaton@unf.edu Web page: www.unf.edu/~jgleaton
Office hrs: Monday, 10:00 - 12:00; Tuesday, 1:30 - 3:30; Wednesday, 10:00 - 12:00; Thursday, 1:30 - 3:30
Phone No., Department of Mathematics and Statistics: 620-2653
Attendance: Not required, but I suspect that there is a
strong positive correlation between days present and high grades. DO NOT
MISS AN EXAM (except under uncontrollable circumstances and then contact me
prior to the exam time).
Homework: Suggested problems will be posted on the web page. I can
discuss these periodically during class sessions. I do not collect
homework. Some answers are in the back of the book.
Grading: On a scale of 0 - 100 for all graded items. Generally, A
= 92 to 100; A- = 90 to 91.9; B+ = 88 to 89.9; B = 82 to 87.9; B- = 80 to 81;
C+ = 78 to 79.9; C = 72 to77.9; C- = 70 to 71.9; D = 60 to 69.9; F = below 60.
Missed Assignments and Lateness: You must have an excellent excuse with written
documentation for not taking the midterm or final on the assigned day or for a
delay in submitting your project.
Testing: There will be a
midterm on Wednesday, Oct. 7 and a final exam on Dec. 7. Each is worth
40% of your grade. A write-up of a take-home project requiring topic
selection, data collection and analysis (with some done via a QC computer
package) and discussion will be worth 20% of your grade. I will devote
some class time to computer instruction.
Tip for
Succeeding in College: For every hour you spend in the classroom,
you should spend at least 2 hours outside of class (preferably the same day)
studying the course material.
Details of the course:
Chapter 1. Introduction (All sections): The Meaning of
Quality and Quality Improvement; Brief History of Quality Methodology;
Statistical Methods for Quality Control and Improvement; Total Quality
Management (quality philosophy, links between quality and productivity, quality
costs, legal aspects of implementing quality improvement).
Chapter 3. Modeling Process Quality (all sections): Frequency distribution and
histogram, numerical and graphical descriptive statistics, some important
discrete and continuous probability models, some useful approximations.
Chapter4. Inferences About Process
Quality (all sections):
Sampling distributions, estimation and confidence interval for process
parameter(s), hypothesis testingon process
parameter(s), and power analysis.
Chapter 5. Methods and Philosophy of
Statistical Process Control.
Chance and assignable causes, Statistical basis of the control charts (basic
principles, choices of control limits, sample size and sampling frequency,
rational subgroups, analysis of pattern on control charts, warning limits, ARL,
sensitizing rules for control charts); Deming's Magnificent Seven, Implementing
SPC, an application of SPC, nonmanufacturing
application of SPC.
Chapter 6. Control Charts for Variables (all sections): Control charts for X-bar and R
(statistical basis, development and use, estimating process capability,
interpretation, effect of non-normality on the chart, the OC function, average
run length), Control charts for X-bar and S, control charts for individual
measurements, applications of variables control charts.
Chapter 7. Control Charts for Attributes (all sections): Control chart for fraction
nonconforming (OC curve of control chart, variable sample size, nonmanufacturing application, the OC function and ARL
calculation), Control charts for nonconformities or defects, Choices between
attribute and variable control charts, guideline for implementing control
charts.
Chapter 8. Process and Measurement System Capability
Analysis (PCA) (sections 7.2, 7.3,
7.4, 7.8): PCA analysis using a histogram or a probability plot,
process-capability ratios, confidence interval for process-capability ratio,
PCA using a control chart, estimating natural tolerance limits of a process.
Chapter 9. Cumulative-Sum (CUSUM) & Exponentially
Weighted Moving Average (EWMA) Control Charts (all sections): CUSUM control chart (basic principles of the
chart for monitoring the process mean, tabular or algorithmic CUSUM,
recommendations for CUSUM design, the standardized CUSUM, rational subgroups,
improving the responsiveness of the CUSUM for large shifts, designing a V-Mask,
designing CUSUM based on ARL, one-sided CUSUM), EWMA control chart (EWMA
control chart for monitoring process mean, design of an EWMA control chart,
rational subgroups), the Moving Average control chart.
Chapter 15.
Last day of classes: December 4 (Friday)
Final Exam: Monday, Dec. 7, 1:00 pm – 2:50 pm
Important Dates:
|
September 7 - Labor
Day (no classes) |
|
November 11 - Veterans Day |
|
November 26 – 27 – Thanksgiving Holiday (no classes) |