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Advanced Statistical Process Control

taught by Tom Ryan


Brief Description:

This course presents cumulative sum (CUSUM) procedures and exponentially weighted average (EWMA) methods and their variations for monitoring processes.

Instructor(s):
Level: intermediate/advanced

Who Should Take This Course:

Anyone who works in an organization that uses SPC. Six Sigma program instructors, prospective instructors and participants. College and university instructors who want to incorporate this type of material into their curricula.

Dates:
To be scheduled.
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Advanced Statistical Process Control

taught by Tom Ryan

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Please read the syllabus tab, noting the prerequisites, text and software requirements.

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Register Online -$339 (you must be affiliated with a college, university or high school)

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Advanced Statistical Process Control

taught by Tom Ryan



Aim of Course:

This course presents cumulative sum (CUSUM) procedures and exponentially weighted average (EWMA) methods and their variations for monitoring processes. Although Shewhart control charts are very useful and have been used for decades, CUSUM and EWMA methods have also been used for decades and do have better statistical properties than do Shewhart charts. After taking this course, students will know how to implement and interpret control charts using these two methods.

Prerequisite(s):
Participants should also be familiar with standard statistical process control (SPC) methods, such as those presented in statistics.com's course on this subject.
Course Program:

SESSION 1:  CUSUM Charts

  • Introduction to Cumulative Sum (CUSUM) methods
  • For continuous processes in Phase II monitoring
  • CUSUM for Controlling a Process Mean
  • Computations for Basic CUSUM
  • Selection of CUSUM parameters h and k
  • Comparison with Shewhart X- and X-charts
  • Why a V-mask should not be used
  • Applications


SESSION 2
: CUSUM Charts - Variations

  • CUSUM variations: Fast Initial Response (FIR) and Shewhart-CUSUM
  • Which CUSUM procedure to use?
  • CUSUM procedures for controlling c process variability
  • CUSUM for autocorrelated data
  • CUSUM methods for attributes data
  • Applications


SESSION 3
: Exponentially - Weighted Moving Average

  • Exponentially weighted moving average (EWMA) procedures
  • Selection of L and lambda
  • EWMA variations: FIR-EWMA and Shewhart-EWMA
  • Applications
  • Which to use, CUSUM or EWMA?


HOMEWORK:

Homework in this course consists of short answer questions to test concepts and guided data analysis problems using software.

Organization of the Course:

This course takes place over the internet at the Institute for 3 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.


Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:
  1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
  3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 3.75 CEU's and a record of course completion will be issued by The Institute, upon request.

Course Text:

The required text for this course is Statistical Methods for Quality Improvement, 3rd ed by Thomas P. Ryan, and it can be ordered from Wiley by clicking here. Wiley typically offers statistics.com customers up to 15% discount on this book (and all other statistics titles): enter the code aff15 in the Promotion Code field when prompted during checkout and click the Apply Discount button. (If you are located in Asia, the web procedure for your location may not accept this discount – try calling your regional Wiley representative.).

PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE.

Software:

Participants will benefit from having access to software that is capable of doing Statistical Quality Control procedures (specifically CUSUM and EWMA procedures) and/or suitable for control charts. Examples and illustrations in this course will be provided for Minitab. Our teaching assistants can offer help with Minitab and JMP. For information about software that is available at no charge, or nominal charge, for statistics.com courses click here.

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Advanced Statistical Process Control

taught by Tom Ryan



Instructor(s):
Dates:
To be scheduled.
Course Fee: $399
Academic Rate: $339

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

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