• SIX SIGMA Black Belt Certification Program
     October 29, 2016 - November 25, 2016
     4:00 PM - 9:00 PM
  • SIX SIGMA Black Belt Certification Program
     October 30, 2016
     9:00 AM - 4:00 PM
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Venue:  

Address:
2801 W Bancroft St, Toledo, Ohio, 43606, United States

Description:

Student Union 3020

Program Overview

Currently, Six Sigma skill and certification is one of the most prominent business requests. Indeed, government organizations, non-profits, hospitals, banks, and traditional service and manufacturing companies all favor lean and six sigma methods for improving operations and quality.  This program will address the Six Sigma Blackbelt requirements of methodology and project application and will reinforce the process, tools, and methods that are expected of today’s Six Sigma leaders.

Program Specifications

  • Participants will attend 4-5 sessions to review DMAIC (Define, Measure, Analyze, Improve, and Control) methodology and begin application to case.
  • Participants will have the opportunity to complete a group project from a manufacturing facility (e.g., Ford), working with the internal Master Blackbelt.
  • Instructors will lead application of the tools and review common quality, graphic, and statistical choices.
  • Students will prepare initial approach and work in team.
  • Instructors will recommend alternatives and future-state applications.
  • Instructors will review industry standards and prepare students for uniform content command and usage.
  • Pre-Requisites: Greenbelt Certification

Program Outline

Module 1

  • Learning Outcomes: Project Introduction
  • Introduction to Data
  • DPU DPMO Rolled Throughput Yield
  • Process Mapping & XY Matrix

Module 2

  • Learning Outcomes: Project Problem Set
  • Variability Probability & Distribution Analysis
  • Multi Variance
  • Correlation & Simple Regression

Module 3

  • Learning Outcomes: Problem Measurement
  • ANOVA
  • ANOVA vs. Hypothesis Testing
  • DOE Intro
  • Power & Sample Size

Module 4

  • Learning Outcomes: Problem Analysis and Improvement Approach
  • DOE Enriched Case Study
  • REGRESSION

Intro to Control Phase