Advanced Statistical Process Control
Dr. Thomas P. RyanAim 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.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.Course Program:
The course is structured as followsSESSION 1:
- 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
- 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
- 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?
The Instructor:
Dr. Thomas P. Ryan is the author of Modern Engineering Statistics, Modern Experimental Design, Modern Regression Methods and Statistical Methods for Quality Improvement, all from Wiley, plus numerous papers in peer-reviewed journals. He is an elected Fellow of the American Statistical Association, American Society for Quality, and Royal Statistical Society, and has been listed in Marquis Who's Who in America. He served on the Editorial Review Board of the Journal of Quality Technology from 1990 through 2006 and was the Book Review Editor of that journal from 2003 through 2006.Organization of the Course:
The course takes place over the internet, at statistics.com. 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 is scheduled to take place over 3 weeks, and 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 and work through exercises. Discussion among participants is encouraged. The instructor will provide answers and comments.Certificates and Grades:
You may be interested only in learning the material presented, and not be concerned with grades or certificates. Or you may be enrolled in a statistics.com Program in Advanced Statistical Studies that requires demonstration of proficiency in the subject, in which case your work will be assessed for purposes of issuing a grade. Or you may require only a "Certificate of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's). As you begin the class, you will be asked to specify your category.Credit:
This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a certificate will be issued by statistics.com, upon request.Dates:
To Be AnnouncedClick here to be notified of future course offerings.
Participants gain access to the online materials on the first day of the course, and typically spend about 15 hours per week (at their convenience). You retain full access to course materials, including discussion board, for two weeks after the course closing date.
Level:
intermediate/advancedPrerequisite:
The equivalent of Introduction to Statistics 1: Inference for a Single Variable, and Introduction to Statistics 2: Working with Bivariate Data (and, if necessary before these courses, Introduction to Statistics for Beginners or Survey of Statistics for Beginners). 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 Text:
The required text is Thomas P. Ryan's Statistical Methods for Quality Improvement, 2nd ed, from Wiley, which you can purchase here. Wiley offers a 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.)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.Registration:
Register Online - $399Register Online (academic) - $339 (you must be affiliated with a college, university or high school)
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.
Note: Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise.
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