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Lean Methods Group specializes in collaborative and strategic methodologies to improve business performace across all industries.

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555 17th Street, Suite 400
Denver, CO 80202
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info@leanmethods.com
Home / Training / Courses / Tool Master

Tool Master

Advanced statistical tools for master problem solvers

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Grow Your Toolsets

The Tool Master course offers a hands-on approach to teaching and mentoring advanced statistical principles and tools to solve increasingly complex and challenging problems.

Course Overview
Length

5 consecutive days, 36 hours of instruction

Price

$3,575 USD
€2,999 EUR

How many CEUs are available?

3.6 CEUs

Who is this training and education appropriate for?
  • Expert problem solvers who desire more knowledge, skills and tools
  • Black Belts or Master Black Belts
  • Qualified Green Belts
Are there any prerequisites?

Laptop computer running Minitab

Does this course count as one of the electives for the Master Black Belt and Lean Master programs?

Tool Master is an elective course for Master Black Belt but not for Lean Master.

Tool Master gives problem-solvers advanced capabilities that apply across both manufacturing and transactional environments. The course offers a hands-on, individualized approach to teaching and mentoring advanced statistical principles and tools. Topics covered include non-normal data, advanced measurement system analysis, logistic regression, design of experiments (DOE) and more.

Designed for practicing Black Belts and Master Black Belt candidates, this course builds confidence in the use of statistics and Minitab. Tool Master is the only Lean Methods Group offering that goes deeper than our Lean Six Sigma Black Belt course into using data to understand and solve problems.

With an applied focus, Tool Master is an interactive course that goes beyond instructor lectures to include exercises and individualized mentoring on real data sets and projects that participants bring to class from their organizations. After taking the Tool Master course, people become better internal trainers and are able to take deeper dives to get more problems solved.


Course Schedule Options
Denver, CO
March 18 - 22, 2019

The Tool Master course re-energized my interest in ANOVA and Design of Experiments, primarily due to the real-life examples presented during class.

Mike Krzaniak, Master Black Belt, MDS Nordion, Inc.

Course Details

As problem-solvers complete projects and progress in their careers, they invariably need more advanced capabilities that apply across both manufacturing and transactional environments.

Tool Master provides a hands-on, individualized approach to teaching and mentoring advanced statistical principles and tools. Topics covered include non-normal data, advanced measurement system analysis, logistic regression, design of experiments (DOE) and more.

Designed for practicing Black Belts and Master Black Belt candidates, this course builds confidence in the use of statistics and Minitab. Tool Master is the only Lean Methods Group offering that goes deeper than our Lean Six Sigma Black Belt course into using data to understand and solve problems. After taking the Tool Master course, people become better internal trainers and are able to take deeper dives to get more problems solved.

With an applied focus, Tool Master is an interactive course that goes beyond instructor lectures to include exercises and individualized mentoring on real data sets and projects that participants bring to class from their organizations. Portions of the workshop are dedicated to peer-to-peer learning so you can share your unique perspectives and experiences across organizations and industries. To reinforce and solidify learning, students are assigned homework and review it each morning.

Upon completion of this course, participants will be able to:

  • Apply a number of advanced tools and techniques to solve difficult problems.
  • Analyze non-normal data to drive decision making.
  • Perform advanced regression analyses, including logistic regression for discrete Y’s.
  • Utilize advanced ANOVA techniques to qualify destructive measurement systems.
  • Investigate important advanced scenarios for the application of designed experiments (DOE).
Day 1
  • Statistical Inference
  • Non-Normality Causes
  • Non-Normality Treatments
  • Nonparametric Tests
  • Advanced Topics in Measurement System Analysis
Day 2
  • Estimating Process Capability
    • Capability with rational subgroups
    • Capability with non-normal data
  • Categorical Data Analysis (including Chi-square and ANOM)
  • Multiple Regression (stepwise, best subsets and multicollinearity)
Day 3
  • Logistic Regression
  • Design of Experiments (DOE)
  • Advanced RSM
Day 4
  • EVOP Designs
  • Mixture Designs
  • Fixed and Random Designs
  • Nested Designs
Day 5
  • Introduction to Queuing
  • Control Charts (including EWMA)
Optional Topics
  • Probability Distribution Review
  • Cycle Time Distributions
  • Sample Size
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