Lean Six Sigma Black Belt Certification

With this Lean Six Sigma Black Belt training in New York City, you can be one of the members of Certified Lean Six Sigma Black Belts group of 4000 professionals worldwide. This Six Sigma Black Belt certification in New York City, being the final stage of the Master's program, gives you expertise in the implementation of concepts such as Total Productive Maintenance (TPM), Six Sigma Define, Measure, Analyze, Improve and Control (DMAIC), and Lean, Design for Six Sigma (DFSS).

This Lean Six Sigma Black Belt training and certification in New York City is designed to help you master the combined concepts of Lean and Six Sigma. This course will help you develop an in-depth understanding of the Six Sigma phases Define, Measure, Analyze, Improve and Control (DMAIC) and how to maximize customer value while minimizing waste.

Eligibility

This Black Belt Six Sigma certification training in New York City is suitable for people who are senior managers, team leaders, software professionals, project managers, quality assurance engineers, and management professionals.

Pre-requisites

There are no prerequisites required in order to sit for the IASSC Certified Lean Six Sigma Black Belt Exam. To be successful during the exam, formal Lean Six Sigma training is recommended from a verified Lean Six Sigma trainer or corporate program. It is also recommended that those appearing the exam have some degree of real-world Lean Six Sigma work experience.

Course Curriculum

Section 00 - Introduction

Section 01 - Overview

• About LSSBB
• Organizational roadblocks
• Blackbelt role in communication and selection criteria 
• Overview of continuous improvement approaches
• Overview of Lean
• Lean concepts
• Lean Tools explained - 5S, Kaizen, SME, Heijunka, Genchi Gembutsu 

Section 02 - DFSS, Pre-define and Define (DMAIC)

• Pre-define DMAIC
• Define DMAIC

Section 03 - Measure

• Pre-Measure considerations and Tools
• Types of Data and Measurement Scales
• Central Tendency and Dispersion
• Measurement System Analysis - Variables GAGE RR and Attribute RR
• Stability conditions
• Capability Metrics
• Variations, Variability and Process Conditions
• Data Distribution Sigma Shift, Mean Shift 

Section 04 - Analyze

• Pre-analyse considerations
• Objectives of analyse
• Value Stream Analysis
• Sources of Variation, Cause and Effect Diagrams, Box Plots
• Regression - Simple Linear, Multiple Linear, Curvilinear, Stepwise
• Confidence Intervals Hypothesis Testing -Parametric 
• Hypothesis Testing - Non parametric
• Analysis of Categorical Data 

Section 05 - Improve

• Pre-Improve considerations
• Design of Experiments - Theory Design of Experiments - Practical Brainstorming for solutions, Solutions Prioritization and Cost Benefit Analysis
• Piloting, Validating and FMEA

Section 06 - Control

• Pre-control considerations
• Variables Control Charts and Attribute Control Charts
• Measurement System Analysis
• Control Plan Document Archiving and Project Closure
• Introduction to Total Productive Maintenance