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Beyond the Buzzwords: Applications of Machine Learning in Lean Six Sigma

Presenter: Cheryl Pammer, Sr. Advisory User Experience Designer, Minitab, Inc., San Diego, CA, USA

Co-Presenter: Charles Harrison, Statistician, Minitab, Inc. San Diego, CA, USA

Keywords: Machine Learning, Predictive Modeling, Preventative Maintenance

Industry: Automotive, Chemical, Manufacturing

Level: Intermediate


ABSTRACT

As we collect more and more observational data from our processes, we need new tools to provide meaningful insights into this information. We will discuss how to use modern-day machine learning techniques, such as Classification and Regression Trees (CART), alongside traditional lean six sigma tools to analyze, improve, and control your processes.

Through the use of case studies based on real experiences, you will learn the basics around machine learning techniques and move beyond classical regression analysis to build predictive models that extract value from complex datasets.

In the first case study, you will learn how to quickly detect the root cause of an out-of-control process condition when no assignable cause is immediately apparent. Specifically, we will use machine learning techniques to determine which variables are the largest contributors to the process drifting out of control and then improve the process using this information.

In the second case study, you will see how to use data from machine sensors to predict when failures are likely to occur. This information is then used during the project’s control phase as part of a preventative maintenance plan.


Call for Proposals

Proposal Submission Deadline:
October 11, 2019

Acceptance notification date:
November 11, 2019

Early Registration Deadline:
February 11, 2020

Please make sure to review and prepare the material needed before you start the on-line Proposal Submission Form. Click here to see Proposal Submission Guidelines.

Who May Submit: This online form may be used by a principal speaker, co-speaker, contact person, or a committee member submitting on behalf of a speaker.

Multiple Proposals: You may submit multiple proposals.

Conference Registration Fee:
The conference registration fee is waived for the principal speaker of accepted proposals. Speakers are responsible for their travel expenses and arrangements. Co-speakers will receive a 30% discount for the conference that they are presenting at.

Length of Presentations: Technical sessions are typically 35 minutes. There will be a limited number of "double" sessions, 70 minutes, at the end of each day.

You will need the following to submit a proposal

Proposal Title: Maximum 80 characters including spaces. 

Keywords:Please include three keywords with a maximum of 100 characters, including spaces. 

Industry Sector: Please select the most relevant Industry sector for the proposal from a list.

Abstract: The Abstract should be 1,500 to 5,000 characters (note that it is Characters, NOT words), including spaces.

Biography: The Biography must be 1,500 to 5,000 characters, including spaces.

Public Profile: LinkedIn or Public Profile for link for the Principal Speaker: 

Speaker's Photo (optional)

Sample Video (optional)

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© Copyright 2019 American Quality Institute. All Rights Reserved.

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