Duration
14 days
Overview
Black belts are change leaders who use the Six Sigma methodology to develop solutions that address real business issues and deliver improvements to profitability, customer satisfaction and market share.
This Six Sigma Black Belt training is designed to develop experts, providing an in-depth understanding of the Six Sigma concepts, methods and tools that drive improvements in key processes. Structured to optimize learning and application through training and on the-job project implementation, this 14-day programme will give you the skills to make real impact in your organization.
How will I benefit?
You'll be able to:
- apply the structured DMAIC methodology to solve crossed functional problems
- apply quantitative techniques to make effective fact-based decisions
- show links between projects and desired business results
- lead subject matter experts to increase customer satisfaction levels and business efficiency
- manage and facilitate effective improvement project teams across the organization
- lead and manage cross-functional changes in their organization
- apply creative and critical thinking to organizational problems to drive results
- communicate effectively to all levels in the organization
What will I learn? This course will help you:
- Analyse and improve business or manufacturing processes using the Six Sigma approach
- Effectively facilitate the management team to identify improvement projects
- Effectively lead cross functional teams to improve organizational work processes
- Provide coaching to Green Belts on project execution, Six Sigma methods and tool application
- Share and apply Six Sigma principles, culture and methodology across the organization as a leading change agent
Who should attend?
Organizational leaders who are responsible for Six Sigma projects, such as managers, section managers, principal/senior engineers and senior officers.
What will I gain?
You'll receive a certificate of attendance upon completion of this Six Sigma Black Belt training with a minimum attendance of 90% per phase.
Certification (Six Sigma Black Belt)
- Completion of Black Belt Training with a minimum attendance of 90% per phase
- Pass the exam at the end of the course with the minimum score of 70%
- Completion of 1 Six Sigma Black Belt projects with reports submitted and approved
- Project savings/benefits achieved to be validated and endorsed by finance/ senior management in your organization
You'll be given a period of 8 months from completion of the course to complete 1 Six Sigma Black Belt project to support with achieving certification.
Agenda
Six Sigma Black Belt
Day
Time
Details
Day 1
09.00 am – 09.10 am
Opening and introduction
09.10 am – 10.30 am
What is Six Sigma
- This topic provides an overview on what, why and how Six Sigma can help as an operational excellence initiative for organisations.
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
The Journey of DMAIC
- This topic explains the phases of DMAIC methodology on its main activities and deliverables from a Six Sigma project.
Define: Project Selection
- The topic provides the concept, approaches and templates on effective project selection for Six Sigma, including financial benefits quantification.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Define: Project Selection (Continue)
- The topic provides the concept, approaches and templates on effective project selection for Six Sigma, including financial benefits quantification.
03.30 pm – 03.45 pm
Afternoon break
03.45 pm – 05.00 pm
Leading Effective Team
- This topic explains the essential skills in leading a project team, to understand the team development stages and assessment of team effectiveness.
Day 2
09.00 am – 10.30 am
Voice of Customers
- This topic provides the definition and techniques to translate the voice of the customer to specific technical requirements (i.e. CTQ/ CCR)
Process Mapping
- This topic provides the various techniques of process mapping for assessing the as-is situation of the project from the process flow perspective.
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
Process Mapping (Continue)
- This topic provides the various techniques of process mapping for assessing the as-is situation of the project from the process flow perspective.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Data Collection Planning
- This topic explains the types of data and provides the steps of data collection process.
03.30 pm – 03.45 pm
Afternoon break
03.45 pm – 05.00 pm
Descriptive Statistics
- This topic explains the measure of central tendency, variability and shape for a set of collected data.
Day 3
09.00 am – 10.30 am
Graphical Tools
- This topic provides the application of the commonly used graphical tools in data evaluation and analysis.
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
Graphical Tools (Continue)
- This topic provides the application of the commonly used graphical tools in data evaluation and analysis.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Measurement System Analysis
- This topic explains the key aspects of a measurement system and the application of various statistical techniques for assessment of the measurement system.
03.30 pm – 03.45 pm
Afternoon break
03.45 pm – 05.00 pm
Measurement System Analysis (Continue)
- This topic explains the key aspects of a measurement system and the application of various statistical techniques for assessment of the measurement system.
Day 4
09.00 am – 10.30 am
Process Capability
- This topic explains the various types of capability measures for discrete and continuous data, and the alternative techniques to assess the capability for non-normal data.
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
Process Capability (Continue)
- This topic explains the various types of capability measures for discrete and continuous data, and the alternative techniques to assess the capability for non-normal data.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 02.30 pm
Review of Phase 1
- This review session provides an overview and inter- connection on all the Six Sigma topics learnt in phase 1.
02.30 pm – 05.00 pm
Phase 1 Written Assessment (Test)
Day 5
09.00 am – 10.30 am
Cause & Effect Analysis
- This topic provides the process of root cause analysis and the application of various tools at different stages of root cause analysis.
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
Process Variation Reduction
- This topic provides the systematic approach to reduce process variation using C&E matrix.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Process Variation Reduction (Continue)
- This topic provides the systematic approach to reduce process variation using C&E matrix.
Failure Mode & Effect Analysis
- This topic explains the concept and applications of FMEA for prevention of potential failure modes.
03.30 pm – 03.45 pm
Afternoon break
03.45 pm – 05.00 pm
Failure Mode & Effect Analysis (Continue)
- This topic explains the concept and applications of FMEA for prevention of potential failure modes.
Day 6
09.00 am – 10.30 am
Probability Distributions
- This topic explains the statistical distributions and its applications in probability analysis – Normal, Binomial and Poisson.
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
Probability Distributions (Continue)
- This topic explains the statistical distributions and its applications in probability analysis – Normal, Binomial and Poisson.
Sampling Distributions & Confidence Interval
- This topic provides the calculation and implication of the confidence level and confidence interval in statistical estimation.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Multi-Vari Study
- This topic provides the concept and application of multi-vari study to identify the most important types of variation.
03.30 pm – 03.45 pm
Afternoon break
03.45 pm – 05.00 pm
Hypothesis Testing
- This topic explains the concept and application of hypothesis testing which is using sample data to make inference about the population with a measurable amount of uncertainty; the application for various types of hypothesis testing; the use of power and sample size for estimation of the appropriate sample size.
Day 7
09.00 am – 10.30 am
Hypothesis Testing (Continue)
- This topic explains the concept and application of hypothesis testing which is using sample data to make inference about the population with a measurable amount of uncertainty; the application for various types of hypothesis testing; the use of power and sample size for estimation of the appropriate sample size.
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
Hypothesis Testing (Continue)
- This topic explains the concept and application of hypothesis testing which is using sample data to make inference about the population with a measurable amount of uncertainty; the application for various types of hypothesis testing; the use of power and sample size for estimation of the appropriate sample size.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Analysis of Variance
- This topic provides the pre-requisites and application of ANOVA for hypothesis testing, for condition where there is more than 2 subgroups to be analysed.
03.30 pm – 03.45 pm
Afternoon break
03.45 pm – 05.00 pm
Analysis of Variance (Continue)
- This topic provides the pre-requisites and application of ANOVA for hypothesis testing, for condition where there is more than 2 subgroups to be analysed.
Day 8
09.00 am – 10.30 am
Analysis of Variance (Continue)
- This topic provides the pre-requisites and application of ANOVA for hypothesis testing, for condition where there is more than 2 subgroups to be analysed.
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
Chi Square Test of Independence
- This topic explains the concept and applications of Chi-Square test for dependency testing.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Correlation & Simple Linear Regression
- This topic explains the concept and application of correlation study to study the relationship and the applications of regression analysis to derive a prediction model.
03.30 pm – 03.45 pm
Afternoon break
03.45 pm – 05.00 pm
Correlation & Simple Linear Regression (Continue)
- This topic explains the concept and application of correlation study to study the relationship and the applications of regression analysis to derive a prediction model.
Day 9
09.00 am – 10.30 am
Advanced Linear Regression
- This topic provides the application of regression analysis that involves multiple predictors and discrete predictors.
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
Advanced Linear Regression (Continue)
- This topic provides the application of regression analysis that involves multiple predictors and discrete predictors.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 02.30 pm
Review of Phase 2
- This review session provides an overview and inter- connection on all the Six Sigma topics learnt in phase 2.
02.30 pm – 05.00 pm
Phase 2 Written Assessment (Test)
Day 10
09.00 am – 10.30 am
Introduction to DOE
- This topic provides the concept and benefits of DOE
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
Planning for Effective DOE
- This topic illustrates the the structured approach and fundamental strategies in the application of DOE.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Full Factorial Design Matrices
- This topic provides the concept and application of Full Factorial Design Matrices, main effects, interaction effects and its factorial plots for DOE analysis.
03.30 pm – 03.45 pm
Afternoon break
03.45 pm – 05.00 pm
Full Factorial Design Matrices (Continue)
- This topic provides the concept and application of Full Factorial Design Matrices, main effects, interaction effects and its factorial plots for DOE analysis.
Day 11
09.00 am – 10.30 am
Fractional Factorial Design Matrices
- This topic provides the concept and application of Fractional Factorial Design Matrices, confounding or alias pattern and resolution of a design.
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
Fractional Factorial Design Matrices (Continue)
- This topic provides the concept and application of Fractional Factorial Design Matrices, confounding or alias pattern and resolution of a design.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Screening of Experiments
- This topic illustrates the approaches of screening experiment for identifying the significant effects.
03.30 pm – 03.45 pm
Afternoon break
03.45 pm – 05.00 pm
Modelling of Experiments
- This topic illustrates the approaches of modeling experiment for process optimization.
Day 12
09.00 am – 10.30 am
Response Surface Methodology
- This topic provides the step-by-step flow of Response Surface Methodology for process optimization.
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
Response Surface Methodology (Continue)
- This topic provides the step-by-step flow of Response Surface Methodology for process optimization.
SolutionIdentification,Evaluation&Implementation Planning
- This topic explains the process and techniques to generate, evaluate and implement solutions.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Solution Identification, Evaluation & Implementation Planning
- This topic explains the process and techniques to generate, evaluate and implement solutions.
Process Control & Standardization
- This topic describes the importance of process control and standardization and the key activities needed to sustain the gains achieved.
03.30 pm – 03.45 pm
Afternoon break
03.45 pm – 05.00 pm
Process Control & Standardization (Continue)
- This topic describes the importance of process control and standardization and the key activities needed to sustain the gains achieved.
Day 13
09.00 am – 10.30 am
Variable Control Charts
- This topic provides the concept and analysis of Control Charts for process control and monitoring, and the application of the Shewhart’s variable control charts.
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
Variable Control Charts (Continue)
- This topic provides the concept and analysis of Control Charts for process control and monitoring, and the application of the Shewhart’s variable control charts.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Attribute Control Charts
- This topic illustrates the application of the attribute control charts for defectives and defects.
03.30 pm – 03.45 pm
Afternoon break
03.45 pm – 05.00 pm
Attribute Control Charts (Continue)
- This topic illustrates the application of the attribute control charts for defectives and defects.
Day 14
09.00 am – 10.30 am
DFSS Overview
- This topic provides an overview on Design for Six Sigma using the DMADV methodology.
10.30 am – 10.45 am
Morning break
10.45 am – 12.30 pm
DFSS Overview (Continue)
- This topic provides an overview on Design for Six Sigma using the DMADV methodology.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 02.30 pm
Review of Phase 3
- This review session provides an overview and inter- connection on all the Six Sigma topics learnt in phase 3.
02.30 pm – 05.00 pm
Phase 3 Written Assessment (Test)
Programme scope, delivery arrangements and suitability are confirmed during enquiry.