Lean Six Sigma Black Belt

Lean Six Sigma Black Belt

Description: Lean Six Sigma is a methodology that maximizes shareholder value by achieving the fastest rate of improvement in customer satisfaction, cost, quality, process speed  and invested capital. Reducing variation & lead time.

Duration: 160 hours

This program is the standard 4-week training spread over several months.  Between weeks the student will go back to the company and apply the new skills they have learned.


* Six Sigma's General Scope

* DMAIC Methodology

* Six Sigma's Financial Benefits

* The impact of Six Sigma in the Organization

* Six Sigma's Language


* Project's Planning

* Projet's Definition

* Projet's Selection

* Development of a business case

* Team building

* Defining rolls and responsabilities (team work)

* Customer's voice supporting the project

* Costs of Poor Quality  (COPQ)

* Translating Customers Needs within Specific Requirements  (CTQs)

* SIPOC Chart

* Lean Manufacturing History

* 5'S

* 8 Wastes (Mudas)

* SMED (Single Minute Exchange)

* Process Mapping (As-Is proces)

* Definition phase review


* Data's attributes

* Descriptive and Inferential Statistical

* Metrics Definition

* Measurement System Analysis

* Repetibility and Reproducibility

* Techniques of obtaining data

* Calculating sample size

* Plan of obtaining data

*Undestanding the variation

* Statistical thought and control charts

* Process capability measurement

* Calculating Process's Six Sigma Level

* Rolled Throughput Yield

* Unfolded visual of he line execution of bases of the project

* Statistical Software Training

* Performance Metrics

* Visual Control

* Ergonomics and Security enviroment

* Failure Mode and Effect Analysis (FMEA)

* Measurement phase review


* Visual Interface (Histogram, Tendency, Pareto, Scatter charts)

* Process Mapping detailed (Low Level) Critics Areas

* Analysis of Added Value

* Cause-Effect Analysis (a.k.a. Fishbone, Ishikawa)

* Affinity Diagram

* Data's Segmentation & Stratification

* Correlation & Regression (lineal & multiple)

* Process Development (Cp, Cpk, Pp, Ppk)

* Process capability short term vs long term

* Hipothesis testing

* Variation Analysis (ANOVA), 2 samples  T-Test, Chi Squared Test

* Experiments  (DOE) - Full, Fractional Factorials, Design

* Verification of Root-Causes

* Determining opportunities for improvement (defects vs finances)

* Review the Project

* Industrial Engineering Highlights

* Process Lay-Out

* Cycle Time study

* Balance and schedule work

* Kanban

* Kaizen

* Analysis Phase Review


* Brainstorm

* Multi-Voting

* Response Surface (DOE Optimization)

* DOE Characterization

* Process Simulation

* Unfolded of the quality function (Quality House QFD)

* Identifying a solution

* POKA YOKE (Mistake Proofing Your New Process)

* Pilot Test of the solution

* Planning the implementation

* Statistical Software Training

* Planning the culture's change in the Organization

* Theory of Constrains

* Value Stream Mapping

* Celular Manufaturing

* 8D

* Improvement Phase review


* Improvement Process Assurance

* Statistical Process Control (SPC)

* Rational Sub-group

* Process inputs and outputs standardization

* Developing a Process Control Plan

* Documenting the Process

* Systemic Thought

* Improvements Validation  in Quality terms

* Improvements Validation in Financial terms

* Process Mapping Before and After

* Training in Statistical Software

* Control Phase review