Events

Description:

Statistics for Quality

A Comprehensive Seven-Part Series

Anand Joglekar, Ph.D.

Joglekar Associates

The Golden Gate Polymer Forum announces a 3 ½-day short course covering seven major statistical methods.
Presented in a practical manner with examples from polymeric materials, medical device and drug delivery applications, the program is customizable for registrants who wish to attend a portion of or the entire short course.

Overview

May 13, 2014 (Day 1 – Half-Day)
1:00- 4:30 PM - Program 1. "Basic Statistics – Making Decisions on the Basis of Data"

May 14, 2014 (Day 2)
8:00-11:30 AM - Program 2. "Comparative Experiments - Demonstrating Change or Equivalence"
1:00- 4:30 PM - Program 3. "Screening Experiments - The Heart of DOE"

May 15, 2014 (Day 3)
8:00-11:30 AM - Program 4. "Setting Specifications"
1:00- 4:30 PM - Program 5. "Process Validation and Acceptance Sampling"

May 16, 2014 (Day 4)
8:00-11:30 AM - Program 6. "Managing and Improving Processes"
1:00- 4:30 PM - Program 7. "Measurement Systems Analysis"

The following criteria were used to select the seven statistical methods included in this seminar:
• The method is widely applicable in R&D and manufacturing.
• The method is underutilized in industry and wider use will lead to beneficial results.
• The method is being wrongly used, or wrong methods are being used, to solve practical problems.
• There are misconceptions regarding the method.
The combination of an excellent teacher, a convenient Bay Area location, a low price, and the focus on practical applications including the use of software makes this an excellent opportunity.
The series of tutorials given over 3 ½ days are geared toward technical professionals who deal with data and make decisions based on data. This includes scientists, engineers, technicians, personnel from research and development, manufacturing, quality, analytical, engineering, supply management and regulatory affairs departments. Technical managers, "green belts" and "black belts" will also benefit.

Course Outline

Day 1: Tuesday, May 13, 2014 (Half-Day)
Program 1: Basic Statistics – Making Decisions on the Basis of Data (1 to 4:30 PM)
Many individuals have taken Statistics 101 in school – and decided never to touch statistics again. But statistics can be practically useful and fun! To correctly apply statistical methods in industry, it is important to have a good grasp of the statistical fundamentals included in this seminar. All individuals can use these basic tools in everyday life to make improvements. They enable you to collect, analyze and interpret data to make better decisions.

The purpose of this seminar is to provide practical guidance on basic statistical tools and answer questions such as:

• How to summarize the information contained in the data?
• Is the data normally distributed?
• What to do if the distribution is not normal?
• How to play with variances?
• How to construct confidence intervals for mean and standard deviations?
• How much data to collect?
• What to do if there are outliers?
• How to use software to do basic statistical analysis?

Day 2: Wednesday, May 14, 2014
Program 2: Comparative Experiments – Demonstrating Change or Equivalence (8 to 11:30 AM)
A common situation in industry is to conduct experiments to demonstrate that a change, perhaps an improvement, has occurred, or that no change has occurred, thereby establishing equivalence. Thus, comparative experiments are conducted to show that the new process has less variability than the old, that the new formulation is better than the old, or to show that two product designs or two measurement methods are equivalent. Such problems are often analyzed using a t-test, an F-test or an ANOVA. Such hypothesis tests, when blindly applied, can lead to disastrous results. For one company, this SOP caused an unnecessary delay of three months and an unnecessary expenditure of over $250,000!
The purpose of this seminar is to provide practical guidance to conduct comparative experiments, and answer questions such as:
• What is wrong with the t-test and the F-test as usually practiced?
• What to replace these tests with?
• How to make multiple comparisons?
• How much data to collect?
• How to reduce sample sizes?
• How to use software to design and analyze comparative experiments?

Program 3: Screening Experiments – The Heart of DOE (1 to 4:30 PM)
Product and process development requires identification of key factors that control product and process performance. Screening experiments efficiently identify key factors and interactions. They provide a way to optimize product and process designs, and to troubleshoot manufacturing. Screening experiments are the most important class of designed experiments (DOE), and help shorten development cycle time and costs. Unfortunately, much product and process development proceeds using one-factor-at-a-time or other ad-hoc experimentation strategies – approaches that provide less information at higher cost. On the other hand, there are any number of examples where screening experiments, properly applied, have resulted in – making a better cake, brewing a better beer, improving drug formulations, reducing development cycle times, designing robust measurement systems, and improving the accuracy and consistency of ammunition.
The purpose of this seminar is to provide practical guidance on the effective use of screening experiments, by answering questions such as:
• Why design experiments?
• What are factorial designs?
• What to think about to make the screening experiment successful?
• How to evaluate a large number of factors with a fractional factorial design?
• How to easily implement screening experiments using software?

Day 3: Thursday, May 15, 2014
Program 4: Setting Specifications (8 to 11:30 AM)
One key objective in R&D is to establish specifications for final product, in-process and raw material characteristics. Specifications are often poorly set, somewhat arbitrarily and sometimes for characteristics that may not even be important. Once set, specifications are difficult to change. Badly defined and mismatched specifications lead to costly consequences. This seminar explains the three fundamentally different approaches to set specifications: empirical approach, functional approach and life cycle cost approach.
The purpose of this seminar is to provide practical guidance regarding effective ways of setting specifications by answering questions such as:
• How to set empirical specifications when data is available only on the characteristic for which the specification is desired?
• How to set functional specifications by obtaining a functional relationship between input and output characteristic?
• How to set specifications using a life cycle cost approach?
• How to use software to set specifications?

Program 5: Process Validation and Acceptance Sampling (1 to 4:30 PM)
Acceptance sampling plans are routinely used to accept or reject incoming raw material lots, in-process lots and finished product lots. There is often some misunderstanding in industry regarding how best to design such plans and the protection that they provide. One purpose of this seminar is to remove these misconceptions and present a practical approach to design acceptance sampling plans. Process validation studies are routinely conducted to provide assurance that the process is ready to be used for manufacturing. Many different (some incorrect) approaches are used in industry to design and analyze process validation studies.
The purpose of this seminar is to provide practical guidance for the design of process validation studies and acceptance sampling plans, by answering questions such as:
• How are attribute and variable sampling plans usually designed?
• What is the most important information you need to know to design acceptance sampling plans and how to get it?
• What is the practical approach to design acceptance sampling plans to reduce risks and costs?
• What is the connection between acceptance sampling plans and process validation?
• What is the practical approach to design a process validation study to reduce the risk of failing validation while reducing the cost of sampling?
• How to use software to design sampling plans and validation studies?

Day 4: Friday, May 16, 2014
Program 6: Managing and Improving Processes (8 to 11:30 AM)
Control charts are implemented in manufacturing with the hope of improving manufacturing processes, but control charts can deliver on this promise only if the manufacturing process meets certain criteria. Capability and performance indices can be used as an at-a-glance-display to rapidly determine whether the process meets these criteria, namely, where control charts may be the effective process management tool and where other statistical tools need to be used. Variance components analysis is one such statistical tool that provides the detailed information necessary to make cost effective process improvements. Using the ideas presented here the manufacturing department of one company was able to quickly develop and implement a focused quality improvement plan. The quality department of another company reduced their voluminous quarterly quality reports while getting greater management attention to the true quality issues.
The purpose of this seminar is to provide practical guidance on the use of statistical tools to cost-effectively manage and improve processes by answering questions such as:
• What is the logic behind control charts and how to select the proper chart?
• What are the four process capability and performance indices?
• How to use these indices as an at-a-glance-display to manage and improve processes?
• How to use variance components analysis to estimate the % of variability caused by each cause?
• How to target variance reduction efforts most cost-effectively?
• How to use software to implement this methodology?

Program 7: Measurement Systems Analysis (1 to 4:30 PM)
Measurement systems serve two decision-making purposes: they are used to make specification related (accept/reject) decisions, and to make product & process improvement decisions. Large measurement variability and inaccuracy can lead to wrong decisions and significantly increase product and process development cycle times and costs. With a single application of measurement systems analysis, one company reduced measurement standard deviation by over 50%, resulting is smaller sample sizes and faster product development. A second company avoided costly wrong decisions and delays by the proper analysis of method transfer data.
The purpose of this seminar is to provide practical guidance to conduct measurement systems analysis and answer questions such as:
• What are the acceptance criteria for measurement system variability and bias?
• How do these criteria differ for destructive and non-destructive measurements?
• How to design measurement system validation studies?
• How to statistically assess if the measurement system is adequate for the task?
• How to improve a measurement system?
• How to use software to conduct measurement systems analysis?

Instructor Background

Dr. Anand Joglekar is a leading statistics educator and consultant to industry. Dr. Joglekar received an M.S. in engineering from IIT, Bombay, India and a Ph.D. in engineering with extensive statistics education from University of Wisconsin, Madison. He has held positions as manager of statistics department and manager of new product development at Pillsbury, and manager of strategic planning and director of quality improvement at Honeywell. In 1990, Dr. Joglekar founded Joglekar Associates which is focused on helping industry achieve business successes through statistical methods. He has implemented statistical methods in areas such as research, product design, process design, manufacturing, analytical science, and management. He has taught statistical methods to thousands of industry participants. His customers include major companies in automotive, biotechnology, computer, chemical, defense, drug delivery, food, medical device, mining, packaging, pharmaceutical, semiconductor and many other industries. He has many publications and conference presentations and is a sought after presenter in industry. He is the author of two books published by John Wiley & Sons:

1. Statistical Methods for Six Sigma in R&D and Manufacturing (2003)

2. Industrial Statistics – Practical Methods and Guidance for Improved Performance (2010)

Course Practical Details

• The location of the course will be Michaels at Shoreline, 2960 N Shoreline Blvd, Mountain View, CA 94043, (650) 962-1014 (do not call Michaels for reservations!) (Map - Directions)
• Additional instructions will be provided to those who register for the event by May 6, 2014.
• Breakfast and lunch will be provided on site each day at no additional charge (breakfast starts at 7:30 AM, and lunch starts at 11:30 AM, including the May 13 half day section).
• Hardcopy lecture notes from each day will be provided to all attendees.
• For attendees who require hotel reservations, numerous hotels are nearby in Mountain View and Palo Alto
• The closest airport is San Jose, followed by San Francisco, and then Oakland.

Payment Information

• Early Registration (on or before April 22, 2014):
o ½ day Basic Stats only $200
o One full day only $350
o One full day and ½ day Basic Stats $550
o Two full days only $700
o Two full days and ½ day Basic Stats $900
o Entire 3 ½ day seminar (or 3 full days) $995

• Late Registration (after April 22, 2014):
o ½ day Basic Stats only $250
o One full day only $400
o One full day and ½ day Basic Stats $650
o Two full days only $800
o Two full days and ½ day Basic Stats $1050
o Entire 3 ½ day seminar (or 3 full days) $1200

• Advance registration and payment required. No drop-ins will be allowed.
• Payment must be made with a Credit Card via PayPal. If this is against your company policy, contact Eveleen Tang at the email address in the "Contact Information" section.
• No registrations will be accepted after May 6, 2014 or after the class size limit is reached (90 attendees)
• No reservation will be considered complete until payment is received.

Registration Details

(1) Begin the registration process by going to the main web page, www.GGPF.org, clicking on "Statistics for Quality (Short Course)". On the page that appears next, you will see all the course information. To register, scroll down to the bottom of the page.

You can register for any combination of days, with or without the 1/2-day Basic Stats course. Next to "Choose an option" select the option you will registering for. Then fill in all your personal details, including name, affiliation, email address, etc.

Finally, you will need to answer a question about which days you intend to attend. For example, if your registration option was to attend two full days plus the Basic Stats course, please select "Day 1" plus two of the remaining three days. Everyone who registers must fill this out, including those who choose to attend the whole course and those who intend to attend the Basic Stats program only. If your registration option does not match your response to this question, we will need to contact you for verification. Please do this accurately.

After you have completed all the required information, click "Submit" at the bottom of the page. This will take you to a page where you can review your information.
Click "Confirm Registration" at this time. This will take you to a page where you can choose to pay via Credit Card (via PayPal) or Check. We are requesting that all short course registrations choose the Credit Card option.
Click on the "PayPal" option. This will redirect you to the PayPal website where you can submit your credit card information and complete the payment process.

If your company requires it, the GGPF Tax ID# will be provided to you by e-mailing a request to Eveleen Tang at etang@amaranthmedical.com . Please note that the conference registration fee covers the short course expenses and is not a tax deductible donation.

(2) Your registration will not be complete until payment is received.

(3) After registration, you will be given an automated electronic receipt. If you need another receipt, it will be provided when you arrive for class.

(4) Reservations will be accepted in the order received until the class size limit of 90 attendees is reached.

(5) If someone other than the intended attendee is performing the registration process, please ensure that it is the intended attendee whose name appears in the appropriate field in the registration.

Cancellation Policy

(1) Cancellations by you: Allowed until May 6, 2014 - you will receive a refund minus a fixed $75 administrative cancellation fee regardless of the number of days you registered. You must cancel in writing or e-mail and have a verifiable acknowledgment from us that you have cancelled in time. No cancellations allowed after May 6, 2014. Registrants who fail to attend and who did not cancel in time will not receive a refund. If you personally cannot attend, another attendee from your organization may substitute (by arrangement only; contact Eveleen Tang).

(2) Cancellations by us: In the unlikely event that not enough registrations are obtained, the class will be cancelled. If this happens, you will be notified by May 4, 2014. Either your credit card will be refunded or your check will not be cashed. If cashed, you will receive a full refund from the GGPF.

Contact Information

For course content, contact Eveleen Tang, eveleen_tang@yahoo.com; or call 650-965-3830 ext 228

For GGPF web page issues or registration difficulties, contact webmaster@ggpf.org

If you can’t reach either of the above, contact Clayton Henderson, Clayton.Henderson@HitachiGST.com