STA 4664/5666 - Florida State University

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STA 4664/5666

Statistics for Quality and Productivity

Instructor: Dr. Steven Ramsier

Office: 104A OSB

Office hours: 9-10 AM Tuesday and 10-11 AM Thursday, or by appointment.

E-mail: sramsier@mailer.fsu.edu

Phone: 644-8437

Fax: 644-5271

Class URL : http://campus.fsu.edu

Class Meeting Times: 12:30- 1:45 PM MW in 108 OSB

Final Exam Scheduled Time Period: Thursday, April 29 at 3:00 - 5:00 PM.

Requirements:

Text: Montgomery, D.C. (2001), Introduction to Statistical Quality Control , Wiley.

Other references will be provided during the course of the semester.

Internet: Mailer or ACNS email account and Internet access for Blackboard access.

Prerequisite: STA 4322 or consent of instructor and one of STA 2122, 2171, 3032, or 4442.

Software: Access to Minitab version 13 or higher. Minitabs is available on campus computer labs or for semester rental (see www.minitab.com

). A student version is also available.

Course Description: An investigation of Deming's ideas, graphical methods, quality tools, measurement system assessment, control charts, design of experiments for product and process improvement.

Course Objectives: Students who complete this course will be able to:

Understand the vital importance of process control over product (output) control.

Discuss the role of statistics in quality function deployment in an organization.

Understand various approaches to quality improvement (Six Sigma, TQM, ISO 9000, Baldridge).

Structure quality improvement activities using the DMAIC (Define-Measure-Analyze-Improve-

Control) methodology.

Construct and interpret appropriate control charts.

Conduct various measurement system assessment studies.

Plan and perform a sequence of designed experiments, letting previous experiments inform the next.

Choose the appropriate technique useful for a given quality problem.

Describe the underlying statistical principles of the techniques applied.

Apply these techniques in the spirit of continuous process improvement.

Interpret and communicate results of techniques implemented to non-technical audiences.

Grade Composition (1000 Points Total):

4 Take-Home Assignments (100 each) 400

Final

Assignment

15% Exam

Team Project

250

200

Graduate Student Article Presentation/

Final Assignment 150 Assignments

40%

Team Project

20%

Grade Assignments:

A 930-1000 B- 800-829 D+ 670-699

A- 900- 929

B+ 870-899

B 830-869

C+ 770-799

C 730-769

C- 700-729

D 630-669

D- 600-629

F 0-599

Exam

25%

Assignments and Responsibilities

Take-Home Assignments : The assignments will consist of a combination of homework-style problems, software applications, and simulated consulting scenarios where you are required to make a recommendation and demonstrate a solution to the problem. You are free to discuss the assignment with any of your classmates; however, your write-up must be done independently. That is, all handwritten material must be generated by you, your interpretations must be in your own words, and you must generate all of your own Minitab output. Late, unexcused assignments will be penalized as follows: One day late –

90% of grade, two days late – 75% of grade, three days late – 50% of grade, four or five days late – 25% of grade, and more than five days – no credit.

Exam: One comprehensive exam will be given in-class during the course of the semester. The exam will be open-book and open notes. The date of the exam will be determined during the semester but is anticipated to be given about three-quarters of the way through the semester.

STA 5666 Presentation: This is an individual oral presentation given to the class by graduate students. It will consist of statistical approach or theory to a quality issue found in a professional journal or magazine focusing quality on and process improvement. Examples of such magazines and journals are Quality

Magazine, Quality Progress, Six Sigma Forum, Journal of Quality Management, Quality Engineering, the

Journal of Quality Technology, and Technometrics . You will also identify the elements of the DMAIC methodology used in the article and translate how the application may be applied in other situations. The techniques used should be new to the class (i.e., a modification or something completely different than was covered in class). A copy of the original article should be included. Graduate students will also be required to create a homework problem that pertains to their presentation that can be solved by your classmates. These problems will primarily compose the final assignment.

Group Project: Students will work in teams of 2 or 3 on a quality improvement project of their own choosing. The project should focus on a process familiar all team members, which is to be improved. The focus of the project will be an experiment that is sequentially designed, conducted, and analyzed.

However, other elements of the DMAIC methodology will be considered.

Tentative Course Outline:

Quality Concepts, Systems, and “Soft” Tools

Statistical Process Control (Charts and Capability)

Measurement System Assessment

Design of Experiments

Other Statistical Tools

2-3 Lectures

6-7 Lectures

2-3 Lectures

7-8 Lectures

1-2 Lectures

Academic Honor System: The academic honor system is strictly enforced: "The Academic Honor System of The Florida State University is based on the premise that each student has the responsibility to: 1)

Uphold the highest standards of academic integrity in the student’s work, 2) Refuse to tolerate violations of academic integrity in the academic community, and 3) Foster a high sense of integrity and social responsibility on the part of University community." Please see the following website for a complete explanation of the Academic Honor Code: http://www.fsu.edu/Books/Student -Handbook/codes/honor.html

Students with Disabilities: Students with disabilities needing academic accommodation should: (1) register with and provide documentation to the Student Disability Resource Center; (2) bring a letter to the instructor indicating the need for accommodation and what type. This should be done during the first week of class. For more information about services available to FSU students with disabilities please see the following website: http://www.fsu.edu/~staffair/dean/StudentDisability/

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