Tool Master

Advanced statistical tools for master problem solvers

What you will learn
How you will learn

What you will learn

Overview

As problem-solvers complete projects and progress in their careers, they invariably need more sophisticated capabilities—in both manufacturing and transactional environments. They’re assigned increasingly complex and challenging problems to solve, and this often requires further development.

BMGI's Tool Master course is known for its advanced, hands-on, individualized approach to teaching and mentoring. Although the workshop has a standard curriculum, instructors will deviate from designated topics when necessary to meet the individual needs of participants.

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.

Like all BMGI courses, this course has an applied focus. Participants bring their unique challenges and data sets to the workshop so they can make progress toward their particular goals. The Tool Master course often enables participants to solve previously unsolvable problems in their organizations.

Learning Objectives

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).
Mentor green belts and black belts in selecting and applying the right tools to their problems and projects.

How you will learn

Classroom

Professional problem-solvers learn these advanced tools and skills in an interactive, focused workshop environment—complete with instructor lecture, exercises, and individualized mentoring on real, problematic data sets and projects that participants bring to class from their organizations.

BMGI expert instructors are interesting and engaging, transferring knowledge from a thorough and deep set of course content—always challenging participants to extract the most value from their existing data sets. In addition, portions of the workshop are dedicated to facilitating peer-to-peer learning as professionals share their unique perspectives, projects, data and experience.

To reinforce and solidify learning, students are assigned homework and review it each morning. Also valuable and insightful, participants spend portions of the workshop on sharing their unique perspectives, projects and best practices.

Course Length:

5 consecutive days

36 hours of instruction

Classroom Cost:

$ 2,745

€ 2,745

Classroom Agenda:

Day 1

Statistical Inference
Non-Normality Clauses
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 Anaylsis (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

Register for

Tool Master


July 23, 2012	5 days	Denver, CO

Explore BMGI.org

Free problem solving resources

ANOVA - Analysis of Variance

Introduction to Logistic Regression

Appropriate for

Expert problem solvers who desire more knowledge, skills and tools

Black belts or master black belts

Qualified green belts

Course at a Glance

Prerequisites

Classroom:

Laptop computer running Minitab

Course Length

Classroom:

5 consecutive days

36 hours of instruction

Cost

Classroom:

$ 2,745

€ 2,745

Credits

Classroom: 3.6 CEUs