5-day Lean Six Sigma Green Belt Training and IASSC Exam

Training

In Boldon

Price on request

Description

  • Type

    Training

  • Level

    Intermediate

  • Location

    Boldon

  • Duration

    5 Days

The 5 day IASSC Certified Lean Six Sigma Green Belt classroom course is designed for a professional who needs to be well versed in the Lean Six Sigma Methodology in order to lead small to medium sized process improvement projects at work.
This program will be unroll with the support of a Lean Six Sigma Master Black Belt trainer with over 20 years experience in using Lean Six Sigma principles, tool and techniques for process improvement and operational excellence.

The IASSC certification exam is a 3 hour 100 question proctored exam.

Facilities

Location

Start date

Boldon (Tyne and Wear)
See map
The Quadrus Centre, NE35 9PF

Start date

On request

About this course

Lean Six Sigma Green Belt training and certification introduces the student to more complex Six Sigma statistical methods as well as Lean Leadership styles and developing a Lean Cuture in your workplace. As a certified Green Belt you will be capable of leading teams and coaching and mentoring team members or subject matter experts within your company. The 5-day training class will enhance the problem solving skills and leadership skills of the attendee and stimulate them to take positive action for process improvement when they return to their workplace.

There are no course prerequisities for this 5-day Lean Six Sigma Green Belt other than a basic understanding of mathematics ( GCSE level or equivalent). Those students already holding a Lean Six Sigma Yellow Belt certification may benefit from their prior knowledge and understanding of overlapping concepts across both courses.

IASSC Lean Six Sigma Green Belt Certification exam is included and taken in the classroom on the final day of the class.

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Subjects

  • Six Sigma
  • Lean
  • Testing
  • Statistics
  • Project
  • Sigma Certification
  • Green
  • Cost analysis
  • Cost Control
  • Efficiency

Teachers and trainers (1)

John Dennis

John Dennis

Master Black Belt Trainer

Before becoming a trainer John worked for as a Senior Project Manager with IBM Global Services, SAIC, Entergy, and before that as a Systems Engineer in programming process controls for Paper Mills, Chemical Plants and Textile Mills throughout the USA. John is a Master Black Belt with over 25 years of industry experience. - BSc in Physics ( Loughborough University ) - PGCE ( York University ) - MBA ( University of New Orleans ) - PMP certified with Project Management Institute for 14 years - Six-Sigma Black Belt certified with IASSC

Course programme

Universally Accepted Lean Six Sigma Body of Knowledge for Green Belts

The IASSC Certified Green Belt Exam was developed and constructed based on the topics within the body of knowledge listed here. Questions may test up to the complexity level of “Apply”, as opposed to “Analyze” for the ICBB, as defined by Levels of Cognition based on Bloom’s Taxonomy – Revised (2001).

1.0 Define Phase

1.1 The Basics of Six Sigma
1.1.1 Meanings of Six Sigma
1.1.2 General History of Six Sigma & Continuous Improvement 1.1.3 Deliverables of a Lean Six Sigma Project
1.1.4 The Problem Solving Strategy Y = f(x)
1.1.5 Voice of the Customer, Business and Employee
1.1.6 Six Sigma Roles & Responsibilities

1.2 The Fundamentals of Six Sigma
1.2.1 Defining a Process
1.2.2 Critical to Quality Characteristics (CTQ’s)
1.2.3 Cost of Poor Quality (COPQ)
1.2.4 Pareto Analysis (80:20 rule)
1.2.5 Basic Six Sigma Metrics
a. including DPU, DPMO, FTY, RTY Cycle Time, deriving these metrics and these metrics

1.3 Selecting Lean Six Sigma Projects
1.3.1 Building a Business Case & Project Charter 1.3.2 Developing Project Metrics
1.3.3 Financial Evaluation & Benefits Capture

1.4 The Lean Enterprise
1.4.1 Understanding Lean
1.4.2 The History of Lean
1.4.3 Lean & Six Sigma
1.4.4 The Seven Elements of Waste
a. Overproduction, Correction, Inventory, Motion, Overprocessing, Conveyance, Waiting. 1.4.5 5S

a. Straighten, Shine, Standardize, Self-Discipline, Sort

© International Association for Six Sigma Certification http://iassc.org/ Bok-V3.2

2.0 Measure Phase

2.1 Process Definition
2.1.1 Cause & Effect / Fishbone Diagrams
2.1.2 Process Mapping, SIPOC, Value Stream Map 2.1.3 X-Y Diagram
2.1.4 Failure Modes & Effects Analysis (FMEA)

2.2 Six Sigma Statistics
2.2.1 Basic Statistics
2.2.2 Descriptive Statistics
2.2.3 Normal Distributions & Normality 2.2.4 Graphical Analysis

2.3 Measurement System Analysis
2.3.1 Precision & Accuracy
2.3.2 Bias, Linearity & Stability
2.3.3 Gage Repeatability & Reproducibility 2.3.4 Variable & Attribute MSA

2.4 Process Capability
2.4.1 Capability Analysis
2.4.2 Concept of Stability
2.4.3 Attribute & Discrete Capability 2.4.4 Monitoring Techniques

3.0 Analyze Phase

3.1 Patterns of Variation 3.1.1 Multi-Vari Analysis 3.1.2 Classes of Distributions

3.2 Inferential Statistics
3.2.1 Understanding Inference 3.2.2 Sampling Techniques & Uses 3.2.3 Central Limit Theorem

3.3 Hypothesis Testing
3.3.1 General Concepts & Goals of Hypothesis Testing 3.3.2 Significance; Practical vs. Statistical
3.3.3 Risk; Alpha & Beta
3.3.4 Types of Hypothesis Test

© International Association for Six Sigma Certification

http://iassc.org/

Bok-V3.2

3.4 Hypothesis Testing with Normal Data 3.4.1 1 & 2 sample t-tests
3.4.2 1 sample variance
3.4.3 One Way ANOVA

a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.

3.5 Hypothesis Testing with Non-Normal Data 3.5.1 Mann-Whitney
3.5.2 Kruskal-Wallis
3.5.3 Mood’s Median

3.5.4 Friedman
3.5.5 1 Sample Sign
3.5.6 1 Sample Wilcoxon
3.5.7 One and Two Sample Proportion
3.5.8 Chi-Squared (Contingency Tables)
a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.

4.0 Improve Phase

4.1 Simple Linear Regression 4.1.1 Correlation
4.1.2 Regression Equations 4.1.3 Residuals Analysis

4.2 Multiple Regression Analysis
4.2.1 Non- Linear Regression
4.2.2 Multiple Linear Regression
4.2.3 Confidence & Prediction Intervals 4.2.4 Residuals Analysis

4.2.5 Data Transformation, Box Cox

© International Association for Six Sigma Certification

http://iassc.org/

Bok-V3.2

5.0 Control Phase

5.1 Lean Controls
5.1.1 Control Methods for 5S
5.1.2 Kanban
5.1.3 Poka-Yoke (Mistake Proofing)

5.2 Statistical Process Control (SPC) 5.2.1 Data Collection for SPC
5.2.2 I-MR Chart
5.2.3 Xbar-R Chart

5.2.4 U Chart
5.2.5 P Chart
5.2.6 NP Chart
5.2.7 X-S chart
5.2.8 CumSum Chart
5.2.9 EWMA Chart
5.2.10 Control Chart Anatomy

5.3 Six Sigma Control Plans
5.3.1 Cost Benefit Analysis
5.3.2 Elements of the Control Plan 5.3.3 Elements of the Response Plan

5-day Lean Six Sigma Green Belt Training and IASSC Exam

Price on request