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55th Annual Fall Technical ConferenceASQP.O. Box 3005Milwaukee, WI 53201-3005
Quality AND Statistics: GETTING UP TO DATE
55th AnnualFall Technical ConferenceQuality & Statistics - Getting up to Date
October 13-14, 2011Kansas City Marriott Country Club PlazaKansas City, MOhttp://cba.ua.edu/ftc2011
SECTION ON PHYSICAL AND ENGINEERING SCIENCES
QUALITY AND PRODUCTIVITY SECTION
Co-sponsored by:
You are invited to attend the 55th Annual Fall Technical Conference held this year in Kansas City, MO. This conference is the premier forum to discuss topics at the interface of statistics and quality. The theme of this year’s conference is “Quality and Statistics: Getting up to Date.” The goal is to engage researchers and practitioners in a dia-logue that leads to more effective use of statistics to improve quality. The conference will serve to bring innovations in statistical method-ologies and quality tools to the forefront. You will have the opportunity to meet informally and exchange views with speakers and colleagues during breaks and in the hospitality suite.
Council MeetingsThree of the sponsoring organizations (Chemical & Process Indus-tries & Statistics Divisions of ASQ and the Quality & Productivity Sec-tion of ASA) will also hold council meetings during the conference (days and times TBA). The council meetings are an opportunity for those who wish to become involved in the activities of the societ-ies to become better informed. Please check the conference web-site (http://cba.ua.edu/ftc2011) for more information on dates, times, room locations, and other meetings of interest.
Hospitality Suite-
soring organizations host a hospitality suite each year. This plays a vital role in the strategic operations of the divisions. We welcome new faces and new perspectives on division operations as well as share technical insights with colleagues in a friendly, informal atmosphere. Check at the registration desk for hospitality suite location and hours of operation. Please come to meet us in Kansas City.
AccommodationsA block of rooms is available at the Kansas City Marriott Country Club Plaza through October 1, 2011. Conference delux room rates are $135/night (single/double/triple/quad rate), plus taxes. A link for registration is available on the conference website (http://cba.ua.edu\ftc2011). REGISTER EARLY!
Travel ArrangementsTravel arrangements from the airport to the hotel are the responsibility of the attendee. More information on options is available on the conference website.
Cancellations and RefundsA complete refund of conference registration fees will be given if you cancel prior to September 23, 2011. Cancellations received on or after September 23, 2011 will incur a $125 cancellation fee.
Short Courses will be offered on Wednesday, October 12 and on Saturday, October 15 from 8:30 a.m. to 5:30 p.m. The fee for each course includes coffee breaks and lunch. Registration is limited.
Experimental Design when there are Hard-to-Change and Easy-to-Change Factors by Jim LucasSponsored by ASQ-CPIDWednesday, October 12, 2011 | $250
have hard-to-change (HTC) and easy-to change (ETC) factors. -
ment such as production machinery. We show how to carry out the best experiments when there are HTC and ETC factors. Our
(computer generated) Designs” are often the (current state of the art) designs of choice when there are HTC and ETC factors. We discuss the newest research on experimental designs and show that “optimum designs” are not necessarily good designs for many experimental situations. We discuss situations when optimum (computer generated) designs should be used and alternative situ-ations when they should not be used. We discuss the role of ran-domization, show when it is better not to randomize and tell when randomization is essential. This course is designed for people who have run experiments or who have taken a course on Experimental Design. All course participants are requested to e-mail a descrip-tion of a current experimental design problem to JMLucas@aya.yale.edu;; the course examples will be built on the problems of the participants.
Using Statistical Engineering to Solve Large, Unstructured Problemsby Ron Snee and Roger HoerlSponsored by ASQ-STATWednesday, October 12, 2011 | $250
This workshop is designed to enhance the skills of statisticians in using Statistical Engineering to solve large, complex, unstructured problems encountered in business, industry and government. Several case studies of the use of Statistical Engineering in a variety
what Statistical Engineering is, why it is important and how to use it. The difference between Statistical Engineering and the classic application of statistics will also be discussed. The participants will be introduced to the critical leadership skills needed for the successful use of Statistical Engineering. Each participant will develop a personal action plan for using Statistical Engineering in their work environment. The workshop participants will gain insight regarding how to increase the impact of their work and how to transition from being viewed as passive consultants to being viewed as proactive leaders within their organizations. The workshop will use an integration of presentation and discussion of material from articles on Statistical Engineering, the sharing of personal experiences (participants and workshop leaders) in solving large, unstructured
problems, and the development of action plans. The session will be highly interactive enabling extensive participation by all.
Reliability Growthby Jim WisnowskiSponsored by ASA-SPESSaturday, October 15, 2011 | $250
Reliability growth is the improvement in the reliability of a product (component, subsystem or system) over a period of time due to changes in the product’s design and/or the manufacturing process. Generally, early prototypes produced during the development of a new complex system will contain design, manufacturing and/or engineering
dedicated to reliability or integrated into existing engineering and development tests. To properly manage this reliability improvement process a variety of factors must be considered such as the management strategy toward taking corrective actions, effectiveness
funding and competitive factors. The reliability currently achieved and the projected reliability impact of proposed future corrective actions must be appropriately measured and analyzed. This tutorial presents reliability growth analysis - the process of collecting, modeling, analyzing and interpreting data from the reliability growth test program. Depending on the metric(s) of interest, the data collection method, and the corrective action strategy, different models can be utilized (or developed) to analyze the growth processes. The models and methods presented in this tutorial are designed for real world applications and are useful to reliability engineering and program management. This hands-on workshop will feature software demonstrations and exercises to illustrate basic reliability concepts in addition to reliability growth methods. **Participants should bring their own laptop to load a trial version of software.
Introduction to Rby Garrett GrolemundSponsored by ASA-Q&PSaturday, October 15, 2011 | $250
This course will teach you the basics of R, as well as how to clean, visualize, and model data with R. No prior R experience is assumed. The course will introduce three popular R packages: reshape2, plyr, and ggplot2. Through these packages, you will learn a powerful
data. A beginner can proceed rapidly by mastering the consistent grammars of these packages without waiting to obtain a broad vocabulary of function names. You will also learn basic R tasks such
will end by examining how to perform common types of statistical modelling with R and overview the many help resources available to R users. R is a very adaptable computer language. The course builds mastery in common data handling and analysis tasks and prepares you to explore more specialized ways of using R. There will be hands on exercises, so please bring your laptop with R installed. R can be downloaded for free from http://cran.r-project.org/.
ASA-SPES (Chair): Scott D. Grimshaw, Brigham Young Univ.ASA-Q&P: Theresa L. Utlaut, Intel Corporation
ASQ-CPID: David Edwards, Virginia Commonwealth Univ. ASQ-STAT: Bradley Jones, SAS Institute, JMP Division
Program Committee
Publicity Chair Marcus B. Perry, The University of Alabama
Local Chair Diana Fiddick, University of Kansas
General Conference Chair Tim Reardon, ELFCU
Short Course Chair Shari Kraber, Stat-Ease, Inc.
55th Annual Fall Technical Conference Registration
ASQ Customer Care
PO Box 3005
Milwaukee, WI 53201-3005
Complete this form and mail to the address above (you may wish to keep a copy for
your records) or fax to 414-272-1734, Attn: ASQ Customer Care. Your registration will
ua.edu/ftc2011. Contact ASQ Customer Care at asq@asq.org, with any questions or
changes related to registration.
PERSONAL INFORMATION
SPECIAL NEEDS
Please list any special needs, disabilities, and/or dietary restrictions that we may
address to make your participation more enjoyable:
CONFERENCE REGISTRATION
2 day 1 Day 1 Day Student
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PAYMENT
HOTEL REGISTRATION
Reservations for the Marriott Country Club Plaza may be made on the conference
website (http://cba.ua.edu/ftc2011) or by calling the hotel at (800) 810-3708.
*denotes required information
Session 6
1:30 -3:00
JQT Invited Session
A Class of Three-Level Designsfor De!nitive Screening in the
Presence of Second-Order E"ects
Bradley JonesSAS Institute, JMP Division
Christopher J. NachtsheimUniversity of Minnesota
Uncertainty & Agreement
Measuring Agreement ofManufacturing and Customer
Testing
Jon M. LindenauerWeyerhaeuser Company
Healthcare Quality
Measuring Process-Level E!ciency in Nursing Homes:
A Bayesian Approach
Robert H. LeeByron J. Gajewski
University of Kansas Medical Center
The Prediction Properties ofClassical and Inverse Regressionfor the Simple Linear Calibration
Problem
G. Geoffrey ViningJohn L. Szarka IIINels G. JohnsonVirginia Tech
Peter ParkerSarah R. Wilson
NASA
Managing Uncertainty inDesign Space
Shari KraberPat WhitcombStat-Ease, Inc.
Bayesian Data Envelopment Analysisin the Presence of Measurement
Error: A Case Study from theNational Database of Nursing
Quality Indicators
Byron J. GajewskiRobert H. LeeNancy Dunton
University of Kansas Medical Center
11:45 - 1:15
L U N C H E O NSpeaker:
Nancy L. GellerASA President
Session 5
10:00 -11:30
9:30 - 10:00 B R E A K
Session 4
8:00 -9:30
SPES Invited Session
Estimating Single-Insult FailureProbabilities from Multiple-Insult
Accelerated Tests
Scott Vander WielBrian Weaver
Los Alamos National Laboratory
Robustness & Optimization in DOE
Candidate-List-Free ExchangeAlgorithms for Two-Level Model
Robust Designs
Byran SmuckerMiami University, Ohio
Predictive Analytics
Integrating CART and GeneralizedLinear Models for Improved Process
Understanding
Dana KruegerKansas State University
Douglas C. MontgomeryArizona State University
A Matrix-T Approach to theSequential Design of Optimization
Experiments
Eduardo SantiagoMinitab, Inc.
Applications of Machine Learningin the Semiconductor Industry
Theresa L. UtlautKevin C. Anderson Intel Corporation
Friday, October 14, 2011
55th AnnualFall Technical ConferenceQuality & Statistics - Getting up to Date
REGISTRATION DESK OPENS7:30
CPID Invited Session
I-Optimal Designs for MixtureExperiments with Linear
Inequality Constraints
Christopher M. GotwaltLaura C. LancasterSAS Institute, JMP Division
Technometrics Invited Session
Design and Modeling Strategiesfor Mixture of Mixture
Experiments
William A. BrennemanProctor & Gamble Company
Lulu KangV. Roshan Joseph
Georgia Institute of Technology
SPC Training
Web-Based, Active LearningLaboratories for Teaching
Control Charts
Doug TimmerMiguel Gonzalez
University of Texas - Pan American
Connie BorrorDouglas C. MontgomeryArizona State University
Is Your Process REALLYOut-of-Control? Issues withTraditional Control Charting
and Process Capability Statements and their
Resolution
Forrest W. Breyfogle IIISmarter Solutions, Inc.
Simulated Annealing Model Searchfor Subset Selection in Screening
Experiments
Mark A. WoltersUniversity of Western Ontario
Derek BinghamSimon Fraser University
Analysis of High-Frequency Measures of Lateral Vehicular
Control in Healthy andImpaired Populations
Jeffrey D. DawsonUniversity of Iowa
Component-Amount and Mixture-Amount Approaches to
Optiumal Tolerance Allocation
Greg PiepelPacific Northwest National Lab
Cenk OzlerAli Kemal SehirliogluDokuz Eylul University
A Case Study with Mixture-ProcessVariable Models in a Nonlinear
Function
Kevin O’MalleyAnn Giovannitti-Jensen
Dan HasmanJohn Mullay
Lubrizol Corporation
Moderators
Moderators
Moderators
Paula ReardonElanco/Eli Lilly
Scott GrimshawBrigham Young Univ
David EdwardsVirginia Commonwealth Univ
Brenda BishopUnisys
Brad JonesSAS Institute
Jim SimpsonUS Air Force
Dan ApleyNorthwestern Univ
Fred FaltinThe Faltin Group
Ben AhlstromAmgen
Presentation of WILLIAM G. HUNTER AWARDW. J. YOUDEN MEMORIAL ADDRESS
Speaker: William I. NotzThe Ohio State University
Title of Presentation: “A Tale of Two Cities”
4:00 -5:00
Session 3
2:00 -3:30
Design of Experiments for Defect Reduction
Andy SleeperSuccessful Statistics, LLC.
Lou JohnsonMinitab, Inc.
STAT Invited Session
Data Mining for Quality
Richard D. DeVeauxWilliams College
Defect Reduction
Failure Analysis of .50 CaliberM20 API-T Bullet Burst
David W. StublerTimothy Spears
ATK Lake City Army Ammunition Plant
Space-Filling Designs& CUSUM
Non-collapsing Space-Filling Designs for Bounded Polynomial Regions
Angela DeanSouthamptonUniversity
Danel DraguljicBattelle Memorial Institute
Thomas SantnerThe Ohio State Univ.
12:15 - 1:45L U N C H E O N
Speaker:David Hawley
Arabia Steamboat Museum
Session 2
10:30 -12:00
Q&P Invited Session
The Cautious Use of BayesianMethods in Reliability Analysis
William Q. MeekerIowa State University
Split-Plot Design
Multiple Objective ParetoFrontier Optimization forSplit-Plot Exzperiments
Christine M. Anderson-CookLu Lu
Los Alamos National Laboratory
Timothy J. RobinsonUniversity of Wyoming
Using One-Factor-At-A-Time LikeExperiments to Build Effective Consulting Relationships
Michael C. MorrowEastman Chemical Company
A Bayesian Hierarchical Power LawProcess Model for Multiple Repairable Systems with
an Application to Supercomputer Reliability
Kenneth J. RyanBowling Green State University
Michael S. HamadaLos Alamos National Laboratory
C. Shane ReeseBrigham Young University
Construction of Balanced Equivalent-Estimation Second-Order Split-Split-
Plot Designs
Marcus B. PerryFsng Yusn
University of Alabama
10:00 - 10:30 B R E A K
WELCOME / PLENARY SESSION“DOE: Is the Future Optimal?”Christopher J. NachtsheimUniversity of Minnesota
8:00 -9:00
Session 1
9:15 -10:00
Case Studies
It’s Not Only the Mean ThatMatters in Designed Experiments
Scott C. Sterbenz Ford Motor Company
Split-Plot Analysis Objective Bayesian Inference ofFixed Effects and Variance
Components in Industrial Split-Plot ExperimentsShaun S. Wulff University of Wyoming
John F. Brewster University of Manitoba
Profile Monitoring
A Framework of ImplementingStatistical Process Controlon Multiple Profiles
Shing I. ChangShih-Hsiung Chou
Kansas State University
Thursday, October 13, 2011
55th AnnualFall Technical ConferenceQuality & Statistics - Getting up to Date
REGISTRATION DESK OPENS7:00
Effective Consulting
The Future of Statistical Thinking, Statistics, and Statisticians --
Through the Lens of the Deming Philosophy
Jim ClausonBreakthrough Systems
Yuri AdlerVladimir Shper
Moscow Institute of Steel & Alloys
Should you use a CUSUM for Counts and Automatic Design of CUSUMs for
CountsDarwin J. DavisErwin M. Saniga
University of Delaware
Thomas P. McWilliamsDrexel University
James M. LucasJ.M. Lucas and Assoc.
Bayesian Regression Trees
Edward GeorgeUniversity of Pennsylvania
Moderators
Moderators
Moderators Julia O’NeillMerck
Jeff LunarBoeing
Jim LucasJM Lucas & Assoc.
Theresa UtlautIntel Corp.
Dean NeubauerCorning
Ananda JayawardhanaPittsburg State Univ.
Brad JonesSAS Institute
Scott GrimshawBrighsm Young Univ.
Don McCormackSAS Institute
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