Overview
Making decisions based on data is at the heart of Lean Six Sigma and statistical analysis. But before we can learn about our process from the data, we need to understand how much our measurement system impacts our data. If the measurement system creates a lot of variation, then it will mask the impact of our X’s on the Y.
In this 90-minute online session, we will take a deep dive into measurement system analysis, or MSA. We will explore standard tools to assess our measurement system, specifically looking at measurement accuracy and precision, and the quality of the data we measure.
Agenda topics:
The intent behind MSA. Everything we do with our data, from assessing capability to drawing practical conclusions is based on the premise that our data is “good.” Data validation is critical. We need to focus on what we are measuring and the ways in which this could be distorted.
Assessing variable measurement system. We cannot just complete a measurement study with any statistical software and call it done. We need to strive to assess accuracy (how well we hit the target) and precision (how consistently). We will briefly look at scenarios where it is appropriate to conduct variable Gage R&R and what we can learn from it. Key topics will include: repeatability, reproducibility, resolution and bias. Unusual situations will also be considered.
Assessing attribute measurement systems. Attribute data brings with it its own difficulties and great need for validation, often due to its vague and subjective nature. In practice, we find many problems in addition to accuracy and precision issues. We will discuss how the application of attribute MSA allows us both to assess and improve our processes. In addition, we will go beyond MSA and explore how attribute assessment can also be used to improve the classification of multiple category appraisals.
Utilizing data validation questions. Essential to assessing your measurement system is knowing how accurate and precise your data is. There are some instances where a traditional measurement study is not possible. We will explore this exception and see how data validation questions can help us to assess our systems.
Who should attend
- Process improvement specialists
- Lean and Lean Six Sigma practitioners
- Operations and quality leaders
- Data analysts and other data analysis professionals
- Process owners
Instructors
Joanne Sauvey is an experienced Lean Six Sigma practitioner and trainer who is credited with developing BMGI's online Green Belt and Black Belt curricula. In her capacity as an eInstructor, Sauvey trains and mentors practitioners across North America, New Zealand, Europe and Asia in a wide variety of industries, including healthcare, manufacturing, utilities, financial services and technology. Sauvey also manages the Master Black Belt development program at BMGI, working with practitioners to expand their mastery of Lean Six Sigma. She holds a Bachelor's in Industrial and Systems Engineering from Ohio University, and is a certified Lean Six Sigma Master Black Belt.
Renee Snell has more than 20 years of experience in developing and teaching continuous improvement techniques. A Lean Six Sigma Master Black Belt and statistical expert, she has mentored more than 1,000 practitioners in Lean and Six Sigma. In addition to her role as an instructor, Snell develops customized curriculum for organizations in both transactional and manufacturing industries. Snell holds a Master's degree in statistics and has completed post-graduate work in management science/statistics at the University of Tennessee, Knoxville.
As a Six Sigma Master Black Belt and instructor, Liz McArdle has more than 15 years of experience in process excellence and teaching Lean Six Sigma courses in classroom, eLearning and blended environments. In addition to instruction, she develops curriculum and facilitates problem solving workshops designed to identify and prioritize improvement opportunities. McArdle holds an Engineering Doctorate from the University of Warwick and a Master of Science from Cranfield University. She is also a Chartered Engineer.
Sign up for this online training course
This four-part series explores the data and analysis tools that enable today’s process excellence practitioner to achieve a deep understanding of their processes, leading to opportunities for sustained improvement within their organization. From Measure, where we explore our baseline process through to Analyze, where we uncover the root causes driving our performance, attendees will take a journey on how to capture validated data to investigate and improve their processes. Discounts available when you register for the entire series.
• Session 1: To Fix it, I Must Be Able to Measure It
Date: Sept. 24, 2015
• Session 2: Analyze Clues to Discover the Root Cause of Process Problems
Date: Oct. 15, 2015
• Session 3: How to Become an Attribute Data Detective
Date: Nov. 12, 2015
• Session 4: Quality Data Leads to Quality Conclusions
Date: Dec. 10, 2015
• A login for the live training course
• Downloadable slides for note-taking
• 1 year access to an on-demand version of the course
Each registration entitles you to receive continuing education credits through our partnership with the International Association for Continuing Education & Training (IACET). During the training session, you'll receive instructions on how to claim your credits.
IACET continuing education credits are accepted by the American Society for Quality (ASQ) and hundreds of other organizations and companies.
Choose your registration type:
• Individual -- for those who want to attend the training alone. $199.
• Group* -- if you want to train multiple people at your location. $349.
• Series Registration -- Extra discounts available when you register for the entire series
Add-ons:
• A CD-ROM of the training course can be added to any registration for an additional $99.
Technical detailsThis training session, presented in partnership with IndustryWeek, will be conducted using a slides-and-audio format. You will also have the ability to ask the instructor questions, and you can participate in polls the instructor pushes to the audience during the session.
After you complete your registration, you will receive a confirmation email with details for joining the training course, as well as your unique password. On the day of the training, use the instructions in this email to log in.
A few days after the live training session is over, you'll receive an email informing you that the on-demand version is available.
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