insights | 2018 - minitab

Insights | 2018 1

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www.minitab.com

Insights | 2018Discover. Share. Harness the opportunities.

Mintab Insights Agenda 2018_UPDATED v3.indd 1 8/27/18 6:12 PM

#MinitabInsights 2

Discover. Share. Harness the opportunities.

Insights | 2018


Program Guide

September 12 - 14 | The Scottsdale Resort at McCormick Ranch | Scottsdale, AZ


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Bigger Conversations. Bigger Opportunities.

A warm welcome to all of you — leaders who are passionate about data analysis and process improvement – to the 3rd Annual Minitab Insights conference! As you struggle with higher volumes of data and more complex data, the analytics takes center stage.

Our theme this year is Share. Discover. Harness the Opportunities. To that end, we have gathered innovators to share their success stories from combinations of decision-tree learning, DOE, Gage R&R, ANOVA, Continuous Improvement programs and more. Over the next two days I hope you discover new ways to examine your data and find inspiration to apply what you learn when you return home to contribute to your own success.

In addition to the expert speakers, please take advantage of The Minitab Lab — open all day throughout the event – to ask us any questions you might have about how to improve your own experiments and methods. The Minitab Technical Support team offers guidance and support — not only here at Insights but at any time — online, by phone and in person as well as producing webinars, data sets and other helpful resources. New this year, the Minitab Research and Design group invites you to test-drive upcoming product features and concepts and give your feedback in the User-Centered Design Studio.

At Minitab, we have been committed to helping you spot trends, solve problems and discover valuable insights in your data for over 45 years. The world’s most successful companies — like those represented at this conference – harness opportunities to make improvements using the power of data. We aim to provide the tools and services to help you. Drive cost containment. Enhance quality. Boost customer satisfaction. Achieve greatness.

As we highlight the exciting advances Minitab users are making, we look forward to enabling you and helping you share, discover and harness more opportunities for years to come. Have a great conference, and I look forward to meeting you in person.

Sharen Standbridge President, Minitab


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Venue map

FITNESS CENTERBELL

DESK

KITCHEN WEST

BAR SIX 40

BENNIE’SCOURTYARD

PARADISEPARK

LAWN

GRAND

CORONADO


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Get the most out of your visit

You can tailor the conference to meet your specific goals by choosing from dozens of sessions on a wide range of topics — all designed to expand your ability to analyze and solve problems, whether you’re an expert practitioner, just getting started, or somewhere in between.

Minitab Lab

Wednesday, September 12 1:00 PM - 6:00 PM

Thursday, September 13 7:00 AM - 6:30 PM

Friday, September 14 7:00 AM - 3:30 PM

Minitab experts are on hand and work stations are available at The Minitab Lab all-day throughout the conference. Bring your own questions and issues. Get personalized demos. Share your feedback.

Wednesday, September 12 1:00 PM - 6:00 PM

Thursday, September 13 7:00 AM - 6:30 PM

Friday, September 14 7:00 AM - 3:30 PM

Test-drive the latest enhancements in development for our products in our first User-Centered Design Studio. Influence the future of your capabilities with Minitab software.

Using a data-driven approach and putting you — the users — in the center of our design process, the Minitab Research and Design group continually works to understand your needs and identify opportunities for innovation. This is a rich opportunity to share your needs and your work, see the ideas we have been considering for product features and concepts, and provide your opinions and feedback.

User-Centered Design Studio

FITNESS CENTERBELL

DESK

KITCHEN WEST

BAR SIX 40

BENNIE’SCOURTYARD

PARADISEPARK

LAWN

GRAND

CORONADO


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Agenda

Agenda

Start Finish Event Location

1:00 pm 6:00 pm Registration & Information Pueblo III

1:00 pm 6:00 pm Minitab Lab Pueblo III

1:00 pm 6:00 pm User-Centered Design Studio Pueblo IV

Wednesday, September 12, 2018

Thursday, September 13, 2018

7:00 am 4:00 pm Registration & Information Concierge Desk

7:00 am 6:30 pm Minitab Lab Pueblo III

7:00 am 6:30 pm User-Centered Design Studio Pueblo IV

7:00 am 8:00 am Networking Breakfast Bennie’s Courtyard

8:15 am 8:30 am Welcome — Sharen Standbridge, President, Minitab Grand Coronado

8:30 am 9:30 am Keynote Speaker — Bill Kahn, Bank of America Grand Coronado

9:45 am 10:30 am CONCURRENT SESSIONS

BA Roadmap for Building Better Regression Models Presenter: Steven P. Bailey

Arizona I

B I ABasic Intermediate Advanced


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BGetting Started with Big Data: A Lean Six Sigma and Quality Practitioner’s Guide Presenter: Kristine Bradley

Arizona II & III

IHow I Convinced My Boss to Get Minitab and Saved Millions of Dollars Presenter: Rafael Villa Guevara

Pueblo I & II

10:30 am 11:00 am MORNING NETWORKING BREAK Loggia


IMeasuring Product Design Quality Presenter: Ajoy Basu

Arizona I

IThe Path to Actionable Insights Presenter: Cheryl Pammer

Arizona II & III

BTranslating Basic Concepts into “Service Speak” Presenter: Rod Toro

Pueblo I & II

11:45 am 12:45 pm BUFFET LUNCH Grand Coronado

12:45 pm 1:30 pm Plenary Speaker — Adam Russell, Tate & Lyle Grand Coronado

1:45 pm 2:30 pm CONCURRENT SESSIONS

IThe Practical Significance of R2 Presenter: Andrew McDermott

Arizona I


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Thursday September 13

BDimensionality-reduction Techniques: Practical Applications of Clustering, Principal Component and Factor Analysis Presenter: Jenn Atlas

Arizona II & III

AOptimal Robust Design Based on Response Surface and Axiomatic Design Presenter: Alberto Hernandez-Luna

Pueblo I & II

2:30 pm 3:00 pm AFTERNOON NETWORKING BREAK Loggia


IStatistical Data Analysis for the Fiberglass Reinforced Polymer Development Presenter: Daniel Kim

Arizona I

BHypothesis 1st or Data 1st? How About the Question 1st? Presenter: Robert (Bob) Thomas

Arizona II & III

IWhy-Bull? (The 5 W’s of the Weibull Distribution) Presenter: Gerald Phillips

Pueblo I & II


ADesign of Experiments and Gage R&R in Forensic Science Applications Presenter: Michelle Mancenido

Arizona I

ISTRANGE LIMITS: Control Charts for Non-Standard Applications Presenter: Ken Feldman

Arizona II & III

IUsing Minitab Automation to Qualify Automated Test Equipment Presenter: Scott Bensen

Pueblo I & II

5:00 pm 6:30 pm WELCOME RECEPTION Bennie’s Courtyard

B I ABasic Intermediate Advanced


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Friday, September 14, 2018

7:00 am 2:00 pm Registration & Information Concierge Desk

7:00 am 3:30 pm Minitab Lab Pueblo III

7:00 am 3:30 pm User-Centered Design Studio Pueblo IV

7:30 am 8:30 am Networking Breakfast Bennie’s Courtyard

8:45 am 9:30 am Keynote Speaker — Ian Goudy, Hertz Global Holdings Grand Coronado


IUsing TreeNet to Reduce Wait Times at Disney Theme Parks Presenter: Fred Hazelton

Arizona I

IIt’s Not Only the Mean that Matters in Design of Experiment Presenter: Scott Sterbenz

Arizona II & III

BUsing Minitab to Hire the Right Candidate Presenter: Anthony Santillanes

Pueblo I & II

10:30 am 11:00 am MORNING NETWORKING BREAK Loggia


BWe are From Crayola and We are Here to Help: DOE’s at Your Supplier Presenters: Elizabeth Rieland and Rich Titus

Arizona I

IReliability Analysis: Why is it Different? Presenter: Scott Kowalski

Arizona II & III

IFitting Models to Continuous and Binary Responses with Applications Presenters: Abdel-Salam Abdel-Salam

Pueblo I & II


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Friday September 14

11:45 am 1:00 pm BUFFET LUNCH Grand Coronado


BSimplifying Management of Continuous Improvement Projects with Minitab Companion Presenter: Hermann Miskelly

Arizona I

IDOE Rescue Tactics Presenter: Amy AlSahsah

Arizona II & III

ARegression with Life Data to Save and Sustain Lives Presenter: Frank Dudzik

Pueblo I & II


AThe Utility of Decision Trees to Optimize Prices and Measure Customer Churn Presenter: Dawit Mulugeta

Arizona I

IA New Take on an Old Trick -- Reevaluating SPC Presenter: Thomas Rust

Arizona II & III

BKnow Your Limits: FDA Compliant Process Validation all in Minitab Presenter: Erik Sherburne

Pueblo I & II

2:45 pm 3:15 pm AFTERNOON NETWORKING BREAK Loggia

3:15 pm 4:00 pm CLOSING SESSION Grand Coronado

B I A= Basic = Intermediate = Advanced


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Session DescriptionsThursday, September 13, 2018

A Roadmap for Building Better Regression ModelsPresenter: Steven P. Bailey, Principal Consultant and MBB, Steven P. Bailey LLC 9:45 AM - 10:30 AM

A roadmap for effectively using the Fit Regression Model platform in Minitab will be presented. We will discuss general principles, define some needed terminology, and then look at several case studies involving observational data (not from designed experiments). These case studies will illustrate how to best model the relationship between a mix of categorical or continuous predictor variables (X’s) and one or more responses (Y’s). The ability to easily include and assess higher-order (interaction and polynomial) terms in the f(X’s) model will be shown. Important model diagnostics, such as residuals and variance inflation factors (VIF’s) will be emphasized. Transforming the response (Y) when appropriate will be discussed. The graphical display of model predictions will be exploited. We will also briefly look at how these examples are handled in the Minitab Assistant’s Regression platform.

Getting Started with Big Data — A Lean Six Sigma and Quality Practitioner’s GuidePresenter: Kristine Bradley, Principal, Firefly Consulting 9:45 AM - 10:30 AM

Big data is everywhere, and it’s not just for analytical leaders like Google, Amazon, and Facebook, anymore. From science to sports, from manufacturing to healthcare, companies in all industries are joining the big data revolution. CNN recently stated that “the amount of data captured globally is estimated to reach 40 zettabytes by 2020.” That’s 1 trillion gigabytes! As Lean Six Sigma or quality practitioners, how does this impact us? What tools do we already use to understand large data sets? Are there newer, less common tools we can use to take advantage of these new opportunities? In this presentation, we will provide an introduction to big data, introduce some tools to drive results and take your process improvement and design projects to the next level.

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Sessions

How I Convinced my Boss to Get Minitab and Saved Millions of Dollars Presenter: Rafael Villa Guevara, Chemical Engineer, National University of Mexico 9:45 AM - 10:30 AM

Besides product development and innovation, cost reduction projects have become very relevant, especially for big companies. It is easily explained by the fact that those companies deal with massive volumes. Thus, reducing the amount of an ingredient in a formulation could mean millions of dollars in savings. Minitab is a powerful tool when it comes to formula optimization.

This session will show how Minitab can be used by consumer goods companies for the formulation and optimization of products, claim supporting as well as cost reduction of products while maintaining their performance.

There will be a special emphasis on Design of Experiments and the identification of the factors, the definition of their levels and the measurement of responses utilizing instrumental and sensorial methods to feed Minitab in a convenient way to optimize formulations using examples from the detergent industry.

Measuring Product Design QualityPresenter: Ajoy Basu, Principal, alpha2infinity 11:00 AM - 11:45 AM

In addition to the obvious impact on cost and quality of products, benefits of measuring design quality through the product development process include accelerated time-to-market and increased R&D effectiveness. This presentation shows how to leverage the QFD project template of Minitab Companion to identify product CTQs, monitor product quality using design scorecards, and conduct effective stage exit reviews.

The Path to Actionable Insights Presenter: Cheryl Pammer, Sr. Advisory User Experience Designer, Minitab 11:00 AM - 11:45 AM

Let’s embrace the new age of predictive analytics! Learn how the knowledge you already have can help you become a leader and change agent in your organization. We will use case studies based on our customers’ successes to show you how to move from descriptive and diagnostic analytics that help you understand your current processes to predictive analytics to predict what is likely to happen next and finally, to prescriptive analytics to create an actionable plan. We will use graphs and reports in Minitab to understand your current process, Salford Predictive Modeler to identify the root cause of the defects in your current process and lastly, create a solid action plan going forward

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backed by a Monte Carlo simulation in Companion demonstrating that you have chosen the optimal of all potential solutions. By unlocking your company’s analytics potential now, you will set your company up for success in the journey toward Industry 4.0.

Translating Basic Concepts into ‘Service Speak’Presenter: Rod Toro, Operational Excellence Deployment Leader, Edward Jones 11:00 AM - 11:45 AM

Understanding the power that Minitab can bring to any project only begins the journey to being able to successfully communicate to key stakeholders, especially if they are in a service oriented environment. This presentation will show actual examples of basic tools (i.e., graphical summary, control charts, capability analysis) and how they were effectively communicated into “Service Speak” to key decision makers in terms that motivated them to understand and take the right actions.

The Practical Significance of R2

Presenter: Andrew McDermott, Process Improvement Professional, Lutron Electronics 1:45 PM - 2:30 PM

This presentation will summarize the importance of understanding and applying the R² statistic (i.e. the Coefficient of Determination). The statement “y is a function of the x’s” (denoted y = y(x’s)) means that y varies according to whatever value the x’s takes on. The R² statistic

summarizes how much of the variation in the “y” (i.e. the dependent or output variable) is explained by the “x’s” (i.e. the independent or input variables). In other words, how much of the variation in the model output is being explained by the model inputs. As George Box eloquently said, “all models are wrong but some are useful”; the R² statistic is your guide to the usefulness of the model being studied / presented.

Presentation will include author’s personal experiences from his early days as a black belt in training, where he learned the importance of the R² statistic. Presentation will also include practical business applications of this statistic drawn from ANOVA, DOE and Regression examples. Presentation will also address the question, “what is an appropriate value for the R² statistic” and demonstrate that the appropriate answer truly is, “it depends.”

Dimensionality-reduction Techniques: Practical Applications of Clustering, Principal Component and Factor AnalysisPresenter: Jenn Atlas, Technical Sales Manager, Minitab 1:45 PM - 2:30 PM

Multivariate Data Analysis refers to any statistical technique used to analyze data that arises from more than one variable. In today’s world, that’s just about every analysis. Attend this session to learn more about the tools in Minitab’s Multivariate menu and see how you can start applying them to your work with just a few clicks.

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Optimal Robust Design Based on Response Surface and Axiomatic DesignPresenter: Alberto Hernandez-Luna, Professor, Tecnológico de Monterrey 1:45 PM - 2:30 PM

A parameter design method based on the use of response surface methodology graphs on Minitab, in combination with the criteria of axiomatic design and robust design, to improve the performance of multi-responses systems. The method is applied to the parameter design of the damped dynamic vibration absorber finding a competitive solution compared with the classical Den Hartog´s optimal vibration absorber.

Statistical Data Analysis for the Fiberglass Reinforced Polymer DevelopmentPresenter: Daniel Kim, Business Development Manager, Global Materials Research 3:00 PM - 3:45 PM

A case study for the statistical data-driven decision making for engineers and scientists. First, the design of experiment of Minitab quantitatively developed few optimized resin formulations in the lab feasibility test. The statistical process control analysis proved the product performance and commercial scale processability. Second, the weathering study of FRP identified the potential root causes. A hard-to-change factor used the split-plot design. Two main factors and one interaction were statistically significant. It seems to be more convenient if Minitab provides more than two levels in the split-plot design.

Hypothesis 1st or Data 1st? How about the Question 1st?Presenter: Robert (Bob) Thomas, Product and Engineering Analytics Manager/Technical Leader - Global Data Insights and Analytics, Ford Motor Company 3:00 PM - 3:45 PM

Engineers and scientists are often taught to frame their experiments with a hypothesis. Stating something as fact and then subjecting it to falsification is appealing. Unfortunately, falsifying a hypothesis doesn’t prove the alternative. Moreover, given the hypothesis is set in advance of the experiment, one could distort reason to meet the specified hypothesis. Consequently, the hypothesis (or deductive) approach alone is insufficient.

In fact, Francis Bacon (1620) argued “the only hope is true induction” where a data set is taken and used to infer that under similar conditions a result, as applied to a specific case, may be generalized to other similar cases. However, this approach is also deceptively appealing since it relies on the assumption that nature will remain constant in time and space. Today’s scientific method fluctuates between deductive logic and inductive reasoning and it really doesn’t matter which comes first. It is far better for engineering and science to search for good questions rather than falsify bold hypotheses or, through historic observation, prove findings can be generalized. This session highlights three examples using data-driven tools and methods that exploit both deductive logic and inductive reasoning to answer well-posed questions involved with automotive vehicle design.

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Why-Bull? (The 5 W’s of the Weibull Distribution)Presenter: Gerald Phillips, Founder and President, Phillips Statistical Consulting, LLC 3:00 PM - 3:45 PM

Have you Wondered Why the Weibull Works so Well? This tutorial session will cover the 5 W’s of the Weibull Distribution. The Weibull Distribution is frequently used across many industries to fit time or stress to failure data to demonstrate product/process reliability. We will be interpreting the shape, scale and threshold parameters used to describe the very flexible Weibull Distribution. The Quality Tools>Individual Distribution Identification menu will be used to generate 14 probability plots to diagnose whether the data is Weibull. The Reliability/Survival Analysis>Parametric Distribution Analysis menu will be used to handle censored observations (situations where the product is not able to be taken to complete failure) and provide a product reliability statement of the form: One is 95% confident that at least R% of the product meet the specification requirements. Distributions related to the Weibull, Extreme-value, Smallest Extreme value and Exponential distributions will also be discussed.

Design of Experiments and Gage R&R in Forensic Science ApplicationsPresenter: Michelle Mancenido, Assistant Professor, Arizona State University 4:00 PM - 4:45 PM

Correctly addressing restrictions on randomization in experimental and Gage R&R studies ensures efficiency in sampling and modeling. In this

talk, I will discuss case studies in the forensic sciences where complete randomization of runs is not feasible. I will demonstrate how we used Minitab in forensic research to design split-plot experiments and Gage R&R studies with additional sources of variation. In addition, I will show how to analyze data from these experiments using the Mixed Models platform. Attendees will learn how to address multiple randomization restrictions in experiments and how to model experimental data produced by these sampling designs in novel applications in the forensic sciences. This talk will raise awareness on the significance of applying quality thinking in forensic science research.

STRANGE LIMITS — Control Charts for Non-Standard ApplicationsPresenter: Ken Feldman, Principal Consultant, Optec Consulting LLC 4:00 PM - 4:45 PM

Most practitioners are comfortable using most of the standard control charts in Minitab. But sometimes the data calls for a bit more creativity to understand what the process is telling us. I will present situations in which Minitab can be utilized to creatively solve the problem of strange data and strange limits. Specifically, I will cover the how and why we use the Laney P and U charts, control charts for monitoring short run production, for situations where the natural process variation is exhibiting an increasing or decreasing trend and how to handle non normal data without transforming the data.

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Sessions

Using Minitab Automation to Qualify Automated Test EquipmentPresenter: Scott Bensen, President, Total CI Info, LLC 4:00 PM - 4:45 PM

Many organizations manufacture a variety of complex products for their customers. Detailed test plans are then developed to assure customer requirements are met. Often, more than 50 test parameters will be analyzed. The testing environment is further complicated by the need to accommodate a variety of products. Regularly, extensive automated test equipment is developed in support of these test plans and the data collected is sent to a database. The task of analyzing pilot runs and initial production can become very daunting with the large number of parameters involved.

Understanding process capability and measurement system analysis can take the design and development group many hours to complete. By using Minitab automation, the amount of time it takes to summarize the analysis of all the parameters for all the different types of products tested can be greatly reduced. This presentation will describe a straightforward process to lay out the product matrix that needs to be tested, the parameter matrix that needs to be analyzed and a report format that will allow the group to minimize the time needed to qualify testing equipment.

Friday, September 14, 2018

Using TreeNet to Reduce Wait Times at Disney Theme ParksPresenter: Fred Hazelton, Data Scientist, TouringPlans.com 9:45 AM - 10:30 AM

Businesses around the globe are using machine learning and analytics to optimize the use of resources and to increase revenue. TouringPlans.com uses machine learning and analytics to help families solve a tale as old as time — long lines at theme parks.

Stochastic Gradient Boosting Models (TreeNet) forecast the wait times at Disney attractions one year into the future and optimization algorithms calculate smart plans that can save guests up to four hours of standing in line on a single day. Come see how the plans have helped thousands of subscribers get more magic out of the mouse.

It’s Not Only the Mean That Matters in a Designed ExperimentPresenter: Scott Sterbenz, Six Sigma Master Black Belt, Ford Motor Company 9:45 AM - 10:30 AM

As practitioners of designed experiments, we are always told to run several replicates of each factor combination to increase the degrees of freedom and to better characterize the mean of the response

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at those settings. However, does only the mean matter? Are you leveraging the replicates you collected the best you can? Taguchi’s Signal-to-Noise analysis is one of the most powerful ways to leverage replicates in a designed experiment. Taguchi argues that a mean value slightly off target with low variability is much better than a mean value that is right on target with a large amount of variability. By calculating the Signal-to-Noise ratio for each factor combination, the mean and variability of a response can be optimized simultaneously without using multiple response optimization. Signal-to-Noise analysis is not limited to replicates--it can also be used for similar measurements collected during a designed experiment. This session will introduce the concept of Taguchi’s Signal-to-Noise analysis, provide helpful hints on how to collect and organize the data, and illustrate how to calculate the Signal-to-Noise ratio. The session will also feature a leather softness optimization case study from Ford Motor Company, which significantly increased customer satisfaction for automotive seats.

Using Minitab to Hire the Right CandidatePresenter: Anthony Santillanes, Operations Manager, ProMiles Software Development Corporation 9:45 AM - 10:30 AM

We wanted to improve our hiring process to deliberately attain the desired future state of our team and we are using Minitab to do so. We have been using a staffing agency to vet and pre-screen local candidates for a few years. Oftentimes their resumes would look good and they would interview well, but then they’d come in and there’d be trouble.

We performed a strengths, weaknesses, opportunities and threats analysis (SWOT) with the Geographical Information System (GIS) team and analyzed those results to determine priorities for change and maintenance. During this time, we also began performing cognitive and personality assessments on all members (8) to determine what a “typical” GIS specialist thought like, believed in and valued. Using a variety of the tools in Minitab, we found our typical GIS specialist.

We improved the hiring process to be more deliberate and effective. Minitab is often viewed through the lenses of quality and quantity of products and processes. I want to propose we also use it to identify and select those candidates that help bridge current and desired state of the team and our organizations.

We Are From Crayola and We Are Here to Help: DOEs at Your SupplierPresenters: Elizabeth Rieland and Rich Titus, Engineering Process Improvement, Crayola 11:00 AM - 11:45 AM

Crayola manufactures over 3 billion crayons and 500 million markers per year at the Easton facility. Crayola began the Lean Six Sigma journey in 2000 focusing on the application of Lean. In 2007, under the direction, guidance and participation of Mr. Peter Ruggiero, Certified Six Sigma Green Belt and Executive V.P. of Worldwide Operations and Information Technology (IT) Crayola launched their first wave of Green Belts. Since this first wave over 100 Green Belts and Black Belts have been trained and certified and over 100+ projects have been completed delivering improved processes and business results.

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In addition to focusing on internal processes, Crayola has partnered with key suppliers to perform DOEs and projects at key supplier facilities. These designed experiments have focused on improving quality performance of critical materials improving supplier yields and process capability. The projects varied from quick strike “let’s quickly” understand and characterize this process to a long-term commitment directed at improving supplier yields. This long-term commitment included training and certifying a supplier Black Belt. Dr. W. Edwards Deming noted “The factory offers 3% of the opportunity for company improvement, the rest of the business — 97%.” We believe Deming was right with these projects clearly focused on the 97%!

Reliability Analysis: Why is it Different?Presenter: Scott Kowalski, Advisory Technical Training Specialist, Minitab 11:00 AM - 11:45 AM

In today’s economy, it is more important than ever for companies to make reliable products. To estimate a product’s reliability involves statistical analysis of failure data. There are many aspects about the analysis of failure data that make it quite different than other statistical methods. For example, at the end of a test period, some products may not have failed. The normal distribution is of limited use and the desire is usually to estimate a small tail probability versus estimating the mean. This talk will discuss some of the important aspects of reliability analysis including censoring, important mathematical forms of statistical distributions, nonnormal distributions, percentiles, and accelerated testing. All concepts will be illustrated using Minitab with real examples.

Fitting Models to Continuous and Binary Responses with ApplicationsPresenter: Abdel-Salam Abdel-Salam, Coordinator of the Statistics BSc and MSc Programs, Qatar University 11:00 AM - 11:45 AM

Regression analysis is one of the most widely used statistical tools, not only directly, but also because it is the basis of other tools such as DOE, Accelerated Life Testing, and many of the machine learning models. This talk will begin by covering the important aspects of regression such as the difference between ANOVA and Regression, R-squared, model assumptions, and some common data transformations. Next, there are many cases where the response variable has only two possible outcomes leading to binary logistic regression as an effective tool for modeling the probability of an event. The properties of logistic regression models such as model selection and odds ratios will be discussed through two real applications: cigarette smoking among adolescents and increased the plastic surgery worldwide.

Simplifying Management of Continuous Improvement Projects with Minitab CompanionPresenter: Hermann Miskelly, Vice President of Quality, Matheson Gas 1:00 PM - 1:45 PM

This presentation will show how a $1.5 billion industrial company employed Companion to simplify our management of individual projects and the total project portfolio, replacing work that had previously

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been done with a combination of Companion and Microsoft Word documents for individual project management, as well as massive, labor-intensive Excel worksheets (aka “project trackers”) for project portfolio management. In addition to simplifying our work processes, using Companion is freeing up over 120 man-hours previously spent by our continuous improvement effort leaders managing paperwork and — more importantly — allows our leadership access to real-time project and financial information.

DOE Rescue Tactics Presenter: Amy AlSahsah, Lean Six Sigma Black Belt, Greene, Tweed & Company 1:00 PM - 1:45 PM

In the course of planning, executing and analyzing experimental designs and data, mistakes can happen. There are ways to understand what is going awry in order to make the right decisions based on the data. It could be slightly to extremely hazardous to the process and/or the business to make the wrong decision based on the results of the analysis.

The methods for understanding that a mistake has happened or there is a better way to complete the experiment for maximum learning may be provided by the Minitab analysis, questioning assumptions or expanding process parameters. This presentation will provide real life examples and stories to discuss these concepts.

Regression with Life Data to Save and Sustain LivesPresenter: Frank Dudzik, Engineering Manager, Baxter 1:00 PM - 1:45 PM

Who has had a great experimental design; flawless execution, but still encounters problems with analysis due to data distribution? Or problems at the tails instead of the average or censored response data or all of those things at once?

Managing multiple factors that have “large” variation profiles with a key process indicator that doesn’t always obey normality assumptions is challenging. At Baxter, we seek to find better tools to handle the processes and data we are given.

Regression with Life Data was used to help identify process controls that ensured manufacturing of life sustaining therapies could continue as the expected Quality level from our customers.

This case study will identify the tool of interest, why the tool fit the job, what assumptions were made to use the tool and comparison to other tools that might be less fitting. It will also present results of the analysis and findings that led to engineering improvements and controls that were added to the process as a result.

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The Utility of Decision Trees to Optimize Prices and Measure Customer ChurnPresenter: Dawit Mulugeta, PhD, Director of Advanced Analytics, Cardinal Healthcare Systems 2:00 PM - 2:45 PM

What are the roles that decision trees play to generate actionable business insights across diverse firms? How can they optimize prices using Salford Systems tools in a simulated data that mimics a B2B environment such as Cardinal Health? This presentation will examine these questions and highlight the predictive power of decision trees to identify at-risk customers.

Decision trees are powerful predictive tools that are used for diverse analytics purposes including classifications, segmentations, forecasting, optimization, text analytics, risk analysis and machine learning. They are commonly used as an exploratory tool to establish trends and patterns. They are also leveraged to enhance quality or improve established processes, to choose the most plausible options among competing scenarios, to help decide the risks and the rewards of business decisions, to identify inherent variability and homogeneity of populations, and to devise targeted marketing programs that create win-win scenarios.

A New Take on an Old Trick — Reevaluating SPCPresenter: Thomas Rust, Reliability Engineer/Master Trainer, Autoliv 2:00 PM - 2:45 PM

SPC is about using statistical tools to control a process and maintain its predictability so that it can be understood effectively and effectively. Even though it is a powerful tool, there are many barriers to implementing SPC correctly. We will discuss some of those barriers and how they can be overcome. We will talk about how SPC has changed over the years. We will also introduce a number of methods and charts that can be used in Minitab to customize how SPC can be done in creative and robust ways to get the most benefit out of this powerful tool. Essentially, we will dust off old SPC and put a new shine on it for the high tech, data filled world we live in now.

Know Your Limits: FDA Compliant Process Validation all in MinitabPresenter: Erik Sherburne, Quality Manager, Advanced Molding Technologies 2:00 PM - 2:45 PM

As defined by the FDA: “Process validation means establishing by objective evidence that a process consistently produces a result or product meeting its predetermined specifications.” This process of validation must be completed before a medical device can be approved, put in production and released to the market.

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You can use the powerful tools within Minitab to do all of the steps necessary to accomplish that. First, we qualify our measurement system. We need to know that we have repeatable and reproducible data. Next, we perform a DOE to understand how our controllable factors in manufacturing affect our ability to meet specifications. What are the inputs that make our parts larger, smaller and by how much? With that information we create a mathematical model to understand our process behavior and define our “worst-case” set points. We then assess the capability of our process at those limits to provide objective evidence that we have a validated process (one that consistently meets specifications).

Much of this presentation will focus on using designed experiments to show how we can create a process window for manufacturing. However, recognizing that having good data (a passing measurement system analysis) is crucial, we will discuss why and how that’s important when looking at “representative parts.” And simply understanding process variation isn’t enough, so to close the presentation we will discuss the importance of process capability.



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Speakers

Keynote SpeakersBill Kahn, SVP, Risk Modeling Executive, Bank of America

Bill Kahn runs the 100-person statistical modeling group for consumer banking at Bank of America, America’s second-largest bank. His team provides models for all the consumer businesses, including mortgage, home equity, deposits, small business, investments, auto, and credit card. His team’s models cover all stages of the customer life cycle, from solicitations to charge-offs. These models deal with complex problems in mass-media spending, internet marketing, direct mail targeting, price elasticity, acquisition risk, account management, and recoveries. Given Bank of America’s size, the models have large-scale relevance. For example, they set credit limits for 9% of the country’s $1T credit card debt. Some models are scored, on average, 500 times per second, 31 million seconds a year. And given this importance, the models are built to high standards of performance, reliability, and reproducibility. While his team uses a broad range of statistical technologies, they have deep interest and skill in building highly effective predictive models. As such they are sophisticated users of modern regression tools, including machine learning and the particular value of experimental design when

paired with machine learning. Bill has run similarly advanced statistics groups at other financial service, strategy consulting, and manufacturing firms over the last few decades, including AIG, Travelers Insurance, Fannie Mae and Capital One. He has his BA in Physics and MA in Statistics from Berkeley and his PhD in Statistics from Yale.

Ian Goudy, VP of Global Continuous Improvement, Hertz Global Holdings

Ian Goudy runs the Global Continuous Improvement group for the Hertz Corporation. Hertz is the second largest US car rental company by sales, locations and fleet size. Ian’s team provides leadership, project management, data driven analysis, training and culture development for continuous improvement across the organization. He has over 18 years of leadership experience in Operations, Supply Chain, Continuous Improvement and Quality for multimillion dollar global corporations, as well as small and midsize organizations around the globe. Ian has a BA in History and a Master of Science Degree in Industrial Technology Engineering from Purdue University as well as being a Lean Six Sigma Master Black Belt.


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Adam Russell, Global Operations Master Black Belt, Tate & Lyle

Adam Russell is a degreed chemical engineer, published author, and expert in Continuous Improvement (CI) methodologies for the process manufacturing industries. He has energized and contributed to numerous organizational and customer improvements by employing a combination of evidence-based strategies and an engaging interpersonal style. He was a Chemical Industry veteran with companies such as DuPont and Eastman for nearly 20 years before joining Tate & Lyle in 2017 where he currently serves as a Master Black Belt supporting the training, coaching, and portfolio management needs for several manufacturing plants in the Americas and Europe. In addition to his Continuous Improvement roles, he has held leadership positions in Operations, Supply chain, Engineering, and Human Resources. Adam and his wife, Wendy, reside in Knoxville, Tenn., with their 2 children. Adam is a Tennessee native and enjoys following the Volunteers, hiking in the Great Smoky Mountains, and physical fitness.

Abdel-Salam G. Abdel-Salam, Coordinator of the Statistics BSc and MSc Programs, Qatar University

Abdel-Salam G. Abdel-Salam is an Assistant Professor of Statistics and the Coordinator of the Statistics Programs and Coordinator for the Statistical Consulting Unit at Qatar University. He holds BS and MS (2004) degrees in Statistics from Cairo University and MS (2006) and PhD (2009) degrees in Statistics from Virginia Polytechnic Institute and State University (Virginia Tech, USA). He taught at Faculty of Economics and Political Science (Cairo University), Virginia Tech, and Oklahoma State University. Also, he worked at JPMorgan Chase & Co. as Assistant Vice President in Mortgage Banking and Business Banking Risk Management Sectors. Dr. Abdel-Salam has received many prestigious awards including the Mary G. Natrella Scholarship from American Statistical Association and American Society for Quality, for outstanding graduate study of the theory and application of Quality Control, Quality Assurance, Quality Improvement, and Total Quality Management. His research interests include all aspects of industrial statistics and Economic Capital Models, including statistical

Plenary Speaker Concurrent Session Speakers


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Speakers

process control, multivariate analysis, Regression Analysis, Exploratory and Robust Data Analysis, mixed models, Nonparametric and Semiparametric profile monitoring, Health-related monitoring and prospective public health surveillance.

Amy AlSahsah, Lean Six Sigma Black Belt, Greene, Tweed & Company

Amy Al-Sahsah works at Greene, Tweed & Co. and graduated from Lafayette College with a Bachelor of Science in Chemical Engineering and has attained Master Black Belt status and certifications in Lean Manufacturing and Lean Leadership. She manages continuous improvement, bridging manufacturing and quality goals in rubber and plastics processing and fabrication in Lansdale, PA. For over 20 years her tagline has been “there can always be a better way.” Amy is a superfan of Dr. Donald Wheeler and his teachings in Industrial Experimentation. Amy has her CQE and CQA and is a member of the American Society of Quality and Society of Women Engineers. She lives in Allentown, PA with her family and enjoys traveling, sports of any and all kinds and home improvement.

Jennifer Atlas, Technical Sales Manager, Minitab

Jennifer Atlas is the Technical Sales Manager for Minitab. She studies how organizations solve analytical problems and works with the product development teams at Minitab to ensure that our products deliver on our commitment to make data analytics easier. As a classically trained statistician, Jenn has worked, trained and consulted in the continuous improvement industry for over 20 years.

Steven P. Bailey, Consultant, Steven P. Bailey, LLC Steve Bailey was with DuPont’s corporate Applied Statistics Group for over 36 years (1979-2016), most recently as their principal consultant. Bailey led DuPont’s corporate Master Black Belt Network over his last 16 years there. Bailey received his B.S., M.S., and Ph.D. degrees in statistics from the University of Wisconsin in 1974, 1975 and 1979 respectively. Bailey is a Past President and Chairman of the Board of ASQ (1997-1999) and is an ASQ Fellow. Bailey is BB and MBB certified by both DuPont and ASQ. Bailey currently provides statistics and six sigma training and consulting services for a variety of businesses.


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Ajoy Basu, Principal, alpha2infinity

Ajoy is a technical professional with 20 years experience in leading teams to introduce products in the medical devices, consumer goods and other industries. He strives to accelerate the launch of successful products by optimizing the intersection of marketing (requirements), engineering (specifications) and manufacturing (processes). He worked at GE, Covidien and other companies prior to starting his consultancy alpha2infinity. He has a PhD in materials science from the University of Michigan and is a Minitab user since 1996.

Scott Bensen, President, Total CI Info, LLCScott Bensen has over 20 years of experience working with a wide range of companies and clients, from Fortune 500 organizations to small businesses and has a passion for delivering data-driven solutions to help clients improve business processes. Scott has a proven track record using a wide range of continuous improvement tools in Lean and Six Sigma. Though much of his experience is

in manufacturing, centering on improvement projects, Bensen has taught many statistical related classes to his clients such as measurement system analysis, design of experiments and statistical process control.

Bensen holds a Bachelors of Science degree in Physics from the University of Wisconsin, River Falls and a Master’s of Science degree in Statistics with an emphasis in quality improvement and productivity from the University of Wisconsin, Madison. He is a certified Black Belt from American Society of Quality (ASQ). Scott continues to be an active member of his local ASQ section board in promoting monthly meetings, programming team activities, serving as membership chair and a featured speaker at statistic related mini-sessions.

Kristine Bradley, Principal, Firefly Consulting

Kristine Nissen Bradley is a principal with Firefly Consulting and a certified Master Black Belt in both Lean Six Sigma and Design for Lean Six Sigma. An experienced organizational transformation leader, public speaker and author, she is an authority in deploying process improvement initiatives, applying data analytics, and delivering innovation


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Speakers

tools and techniques to clients around the world. Placing great emphasis on the development of client capability, she has demonstrated expertise in organizational assessments, project management, Six Sigma, Lean, Design for Lean Six Sigma, Business Process Management, simulation and statistical modeling. Kristine has successfully implemented Lean and Six Sigma techniques within financial services, healthcare, medical device, industrial equipment, chemical, packaging, global logistics/distribution, aerospace, electronics, retail and service companies ranging from $400 million to $40 billion annual revenue. A frequent presenter on topics related to big data and continuous improvement, she is also a published author whose most recent book, Innovating Lean Six Sigma (McGraw-Hill, 2016) draws on her decades of work implementing process improvement. Kristine holds an MBA from Duke University – Fuqua School of Business and earned the distinction of Fuqua Scholar. Additionally, she holds an MSc in mechanical engineering and a BS in industrial engineering from Texas A&M University.

Frank Dudzik, Engineering Manager, Baxter

Educated as a biomedical engineer and having 18 years of experience in the healthcare industry (both diagnostics and therapeutics), Frank Dudzik has spent the last 11 years with Baxter Healthcare in the Global Engineering group working on quality improvement projects and utilizing DMAIC as the roadmap toward each objective. A consistent champion for applied Six Sigma through belt training and ad hoc statistics training, Frank has a steady team of students (both Green Belt and Black Belt) in both a coaching and sponsor role. He spends too much time in measure phase based on stakeholder feedback. Frank and his wife Lisa have been blessed with six children that ensure a steady stream of problems to solve.

Ken Feldman, Principal Consultant, Optec Consulting LLC

Dr. Ken Feldman is a Lean Six Sigma Master Black Belt and Principal Consultant at OPTEC Consulting. Prior to forming OPTEC, Ken was a Senior Director of the Rapid Continuous Improvement effort at Dr. Pepper Snapple Group. He has over 40 years


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experience helping organizations improve quality and performance in a wide variety of industries. Ken was previously a Principal with Accenture Consulting, an SVP in the Quality and Productivity Group at Bank of America, the District Director of Performance Improvement at the North Broward Hospital District, and he worked at GE Capital doing global LSS training and coaching. Ken also teaches Operations and Supply Chain Management and Data Driven Decision Management in the Executive MBA program at Florida Atlantic University. Ken has a dual PhD in Industrial Engineering and Psychology with the distinction of having Dr. W. Edwards Deming, the esteemed quality Guru on his Doctoral Committee. He also holds an MS in Industrial Engineering, an MBA and a Certificate in Occupational Safety and Health. A return presenter at Minitab Insights 2018, Ken is a sought-after speaker at conferences and has also presented at the Lean Six Sigma World Conference.

Fred Hazelton, Data Scientist, TouringPlans.com

Fred is the chief data scientist for TouringPlans.com, a subscriber-based website that uses analytics and machine learning to help guests optimize the use of

their time and money at Disney theme parks. Fred’s forecasts predict how long you will wait in line at every attraction over the next year. Those forecasts also generate the popular Crowd Calendar, which guests have been using since 2006 to select the least crowded time to visit Walt Disney World.

Alberto Hernández-Luna, Professor, Tecnológico de Monterrey

Alberto holds a BS from Tecnológico de Monterrey, MS from the University of Wisconsin-Madison and PhD from the University of Texas at Austin, all in Mechanical Engineering. Alberto has eight years of industrial experience in manufacturing industries and 23 years of academic experience at Tecnológico de Monterrey, where he has been director of the research and innovation centers and graduate programs. His current position is Director of R&D Liaison, and coordinator of the Innovation and Design for Six Sigma certification program. Alberto has advised more than 100 master and doctoral theses, 20 journal publications and a US Patent (#4;556,405).


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Speakers

Daniel Kim, PhD, Business Development Manager, Global Materials Research

Dr. Kim is currently a business development manager at Global Materials Research. He is supporting small/mid-size polymer resin companies by material testing, evaluation, and selection based on statistical data analysis. Previously he has worked as an R&D scientist with over 10 years new product development experience for electronics, building materials, and transportation industries. He is taking the master of engineering management at Northwestern University. He has a PhD in polymer engineering from The University of Akron and was a graduate teaching assistant in the statistics department, where he taught Minitab to undergraduate students.

Scott Kowalski, PhD, Advisory Technical Training Specialist, Minitab

Dr. Scott Kowalski earned his PhD in Statistics from the University of Florida with a concentration in Design of Experiments. He has been a Technical Trainer at Minitab, Inc. since 2001 and currently works with Minitab’s international partners on their certified training programs and leads the

development of Minitab’s training courses. Scott is on the editorial review board of Quality Engineering. He has published articles in the Journal of Quality Technology, Quality Engineering, Quality Reliability Engineering International, Technometrics, and Quality Progress. Scott was awarded the 2005 Lloyd Nelson Award by ASQ for the paper having “the greatest immediate impact to practitioners.”

Michelle Mancenido, PhD, Assistant Professor, Arizona State University

Dr. Mancenido is an Assistant Professor of Statistics at Arizona State University’s West campus. Dr. Mancenido’s expertise is in optimal experimental designs, statistical modeling for chemical and mixture experiments, and sensory experiments.

Andrew (Andy) McDermott, Process Improvement Professional, Lutron Electronics

Andy McDermott has studied, lived and worked in 3 countries – Ireland, England and USA. His first official introduction to process improvement was during his early years at Ford Motor Company, where he learned and applied the basic


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foundational blocks of process improvement, under the, “Quality is Job 1” program. His appetite for process improvement was whetted by these initial experiences. He became certified as a BB and then later as a MBB while with Ford. He has also held process improvement leadership positions with AIG, Kraft Foods, ITT and currently with Lutron Electronics.

Andy received a BSc in Mechanical Engineering from Trinity College — Dublin, Ireland. He later studied and received a MSc in Manufacturing Systems Engineering from Cranfield Institute of Technology – England before moving to the USA, where he studied and received a MSc in Applied Statistics from Villanova, PA.

Hermann Miskelly, Vice President of Quality, Matheson Gas

A mechanical engineer, I began my professional career in the defense/aerospace engineer where I worked in various advanced design and management roles for over 25 years. In the early 2000s, during a lull between projects, I trained as a Lean Six Sigma Black Belt and then as a Master Black Belt. Leaving the defense/aerospace industry, I worked as a Lean Six Sigma consultant with Global

Productivity Solutions, where I started working with Matheson Gas as a consultant in 2002 and then as a Vice President of Quality in 2009. As the Vice President of Quality I am held responsible for putting into practice the Lean Six Sigma principles I preached as a consultant.

Dawit Mulugeta, PhD, Director of Advanced Analytics, Cardinal Healthcare Systems

Dawit is the director of advanced analytics with the Pharma Strategic Pricing Team of Cardinal Health, a Fortune 20 healthcare services company that provides pharmaceutical and medical products and services in the United States and internationally. Currently he directs an innovative and diverse business analytics using contemporary advanced analytic techniques on products, prices, customers, and services. In addition, he has an extensive experience in well-established major consulting, retail, academic and research firms leading analytics teams and projects as a strategic thinker and a hands-on expert to successfully implement best in class decision support solutions using large transactional data. He has published extensively and has made presentations at various analytics and scientific forums on various quantitative topics.


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Speakers

Dawit is an applied statistician and earned his PhD from the University of Wisconsin in Madison and an MS from Montana State University in Bozeman.

Cheryl Pammer, Sr. Advisory User Experience Designer, Minitab

As a Minitab trainer, statistical consultant and Minitab software designer, Cheryl is immersed in the day-to-day problems faced by quality practitioners. Drawing on more than 25 years of experience in teaching, statistical consulting, and software development, Cheryl aims to provide the sound statistical strategies and software tools that professionals need to solve the real-world problems they face on the job. She has worked on the project teams that developed many of Minitab’s most popular features, including Assistant, Design of Experiments, Gage R&R, and Reliability. She was also one of the developers of Minitab’s online learning solution, Quality Trainer. She is now on the product management team for the newest product in the Minitab product line, Salford Predictive Modeler.

In addition to Six Sigma Black Belt training, Cheryl has a B.S.E. in Mathematics from Truman State University and an M.S. in Statistics from the Pennsylvania State University. More recently, she

has supplemented her traditional statistics degree with graduate-level coursework in Predictive Analytics and Machine Learning at the University of California, Irvine and Stanford University.

Gerald Phillips, Founder and President, Phillips Statistical Consulting, LLC

Jerry Phillips, MS Statistics, is the president and founder of Phillips Statistical Consulting, LLC. Jerry provided statistical consulting to engineers and scientists during his 35-year tenure with Baxter Healthcare Corporation, a highly-regulated manufacturer and distributor of disposable infusion systems and hardware devices. He participated on cross-functional teams that included engineering, manufacturing, quality and medical professionals to develop new products that met regulatory requirements. He has extensive experience in distribution fitting and reliability estimation. He has developed and delivered statistical training worldwide that has enabled thousands of engineers and scientists to interpret and report statistical results in lay terms.


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Elizabeth Rieland, Manager, Engineering Process Improvement, Crayola

Elizabeth Rieland, of Crayola LLC, manages an engineering team dedicated to process improvement.

The majority of her projects focus on utilizing large data sets to improve raw material specifications or attain higher, consistent machine efficiency. Her passion is innovation, specifically using new materials to enable automation in all areas of manufacturing, eliminating variation and waste. Successful projects have included new product development streamlining, research and material optimization and manufacturing process improvements.

Elizabeth holds a Bachelor of Science in engineering chemistry, Master of Science in chemistry and Master of Education from Lehigh University, and a Master of Business Administration from the University of Pittsburgh. She is a member of the Society of Cosmetic Chemists (SCC), American Chemical Society (ACS) and American Institute of Chemical Engineers (AIChE). Elizabeth resides in Easton, Pennsylvania, with her husband and four children.

Thomas Rust, Reliability Engineer/Master Trainer, Autoliv

Thomas Rust has worked for an automotive safety products company for more than 15 years. He graduated with B.S. in Mechanical Engineering from Utah State University. He worked as a Process Engineer, Development Engineer, and Quality Engineer. He studied Six Sigma and certified as a Master Trainer. Thomas taught Six Sigma globally within his company for six years. Besides the automotive industry, he also worked for a healthcare company. Thomas currently supports the facilities in North America in training and developing Quality Engineers.

Anthony Santillanes, Operations Manager, ProMiles Software Development Corporation

Anthony Santillanes is the operations manager for ProMiles Software Development Corporation, is a Lean Six Sigma Black Belt, and earned his master’s degree in industrial/organizational psychology. He is driven to understand what encourages amazing work and careers in order to promote amazing teams. He has spent most of his adult life in charge of teams from three members up


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Speakers

to 160 and in a variety of environments from Iraq and Kuwait while in the army, to manufacturing in the Midwest, and now software development in Southeast Texas. Earning his master’s degree in Industrial/Organizational Psychology, Anthony has committed himself to finding the best qualities in people and harnessing those qualities to improve the customer experience, engagement and teams. Anthony was introduced to Minitab while earning his Lean Six Sigma Black Belt and has used it in projects related to safety, manufacturing quality and efficiency, developing performance metrics, and in finding the right candidate. He’s used many of Minitab’s features to conduct capability analyses, Gage R&Rs, DOE’s, regression, projections, and many of the graphing tools to lead improvement efforts that have resulted in improved customer satisfaction, increased efficiency, improved employee engagement, as well as partner and bronze supplier ratings within John Deere’s and Caterpillar’s supplier quality excellence programs respectively. Most recently he has been using Minitab to improve the hiring process so that new hires contribute to the desired future state of the team from day one.

Erik Sherburne, Quality Manager, Advanced Molding Technologies

Erik Sherburne is the Quality Manager at Advanced Molding Technologies where he supports a team of talented Quality professionals. With a Bachelor of Arts degree from Luther College in Music and Mathematics and a son of two teachers, he is passionate about learning, but more so about educating his team and his customers on how to think critically to solve problems. Since starting at Advanced as Quality Engineer, he has been a key part of transforming the company to be compliant to FDA and ISO 13485 Medical Device requirements and achieving “best practice” for process validation in Quality System Audits.

Scott Sterbenz, Six Sigma Master Black Belt, Ford Motor Company

Scott Sterbenz is a Master Black Belt at Ford Motor Company, using DMAIC and DFSS methods to solve quality and customer satisfaction issues. Scott is also a volunteer Technical Adviser for the United States Bowling Congress, bowling’s governing body. There, he helps develop test plans and analysis methods to set specifications for bowling equipment


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and conducting ground-breaking research. A Professional Engineer, Scott holds a bachelor’s and master’s degree in Mechanical Engineering from Wayne State University in Detroit — valedictorian in both programs. Scott enjoys mountain biking and motorcycling, and is an accomplished bowler--with twelve certified 300 games and a high certified three-game series of 853.

Robert (Bob) Thomas, Product and Engineering Analytics Manager/Technical Leader - Global Data Insights and Analytics, Ford Motor Company

Mr. Robert (Bob) Thomas has worked at Ford Motor Company for 25+ years. Currently he works in Global Data Insights and Analytics applying engineering, statistical, and machine learning methods to product development. He received the Henry Ford Technology Award (the highest technical award in Ford Motor Company) through his experiment design work that helped bring solid film lubricant coating technology to engine piston design for improved fuel economy. He received the “best paper” award from the Society of Automotive Engineers for his reliability work to avoid potential customer-related vehicle vibration failure modes

as well as another such award for his series of articles in the Society for Engineering Mechanics’ journal Experimental Techniques. Most recently, he has reverse-engineered, globally, several 3rd party automobile rating systems which provide feedback to engineering during product development. He has 20+ publications related to engineering statistics, reliability, and quality in a variety of journals and recently received a patent for an automotive air intake system design where the analytic techniques he used provided the insight for the patent.

Outside of his automotive work Bob has past served as the President of the Detroit Chapter American Statistical Association. He was a reviewer of the United States’ Office of Science and Technology Policy and Big Data Research and Development Initiative in 2014. He has consulted for the Institute for Healthcare Improvement, an independent not-for-profit organization that is a leading innovator in health and health care improvement and for Optimized Ortho, who provide orthopedic surgeons with state of the art dynamic, functional, and patient specific planning and simulation solutions. Finally, he currently serves as an adjunct lecturer for Wayne State University’s Industrial and Systems Engineering Department and their Engineering Management Master’s Degree Program.


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Speakers

Richard Titus, Principal, Titus Consulting

Richard Titus started his Lean Six Sigma journey in 1998 as a Wave I Master Black Belt at Ingersoll-Rand. Since then he has led or participated on five successful large scale deployments around the world and worked at more than 50 companies supporting Lean Six Sigma projects. Rich’s broad experience ranges from hands-on leadership of continuous improvement and Lean initiatives in multiple industries to teaching in a variety of academic and corporate environments. He has worked with dozens of organizations directing their Six Sigma Process improvement and Lean Enterprise deployments, training and project management efforts working on hundreds of projects. These organizations represent a wide range of industries including defense, energy and consumer products with products varying from highly engineered low volume to high volume consumer products. Improvement projects for these organizations have focused on areas which include: risk analysis for sales, marketing and procurement; cycle time improvements for variety of support service processes; design of experiments for process optimization; human resources; supply

chain design; inventory management; safety and worker’s compensation; sales and marketing; information systems projects; measurement systems analysis for service and manufacturing; manufacturing defect reduction on a variety of assembly and testing processes. Estimated savings for these organizations exceeds $50+MM savings.

Radames (Rod) Toro, Operational Excellence Deployment Leader, Edward JonesDeployment Leader for the last five years at Edward Jones — focusing on Firm Strategic Initiatives, Six Sigma Master Black Belt certification with over 30 years of experience, with expertise in deployment, strategic initiatives and integration of Total Quality Management systems, Lean Six Sigma and ISO (International Organization for Standardization). He was trained in Design of Experiments by Genichi Taguchi at the American Supplier Institute, has experienced the beginnings of Six Sigma at Motorola as a customer for their microprocessors, became a certified Black Belt (1992) and Master Black Belt in Lean Six Sigma (1998). He is also certified in ISO 9001 13485, 17025,TS 16949 as a Lead Auditor and has deployed Lean Six Sigma in multiple companies.


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Rafael Villa, Chemical Engineer, National University of Mexico

Rafael Villa is a Chemical Engineer from the National University of Mexico. He is currently working in Alicorp Peru as Research and Development Leader in the Home Care division.

Rafael has worked in R&D for different consumer goods companies in the Home Care industry including Colgate Palmolive in Mexico and Quala Colombia, and short-term activities in Colgate Palmolive Belgium and Clariant Mexico.

During that time he has been involved in the design, formulation and optimization of consumer products and all the related activities from the R&D perspective for products such as fabric softeners, fabric detergents, hand/dish-washing detergents, cleaners, stain removers, etc. for the North American, Latin American and European markets. He has attended different courses, conferences and symposiums in the Americas and received training in performance testing in Europe.

Rafael has been granted the Coca-Cola Foundation scholarship to study at Korea University in Seoul, South Korea and The Luis Spitz Young Professional grant for young professionals in the detergent industry.


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Notes


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Notes


insights | 2018 - minitab

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