Duration
Certified Lean Six Sigma Green Belt
9 days
Course aim
This course aims to introduce you to intermediate level tools and techniques to analyse and improves processes using the Lean Six Sigma approach.
Course description
To enable successful deployment of Lean Six Sigma strategy, Lean Six Sigma Green Belts play the role in initiating improvement projects within their functional groups and support Black Belts in cross-functional improvement projects.
By attending this comprehensive nine-day training course, you’ll be introduced to intermediate level tools and techniques to analyse and improve processes using the Lean Six Sigma approach. Upon successful completion of the exam you will receive the internationally recognized Certified Green Belt qualification.
How will I benefit?
You’ll be able to:
- Utilize the structured DMAIC methodology in solving functional problems with breakthrough results
- Apply quantitative techniques to make effective fact-based decisions
- Display the linkage between projects and desired departmental goals
- Lead subject matter experts to increase functional group efficiency
- Manage and facilitate improvement project teams within your functional groups effectively
- Lead and manage change within your own functional groups
- Communicate effectively within the organization
What will I learn?
Upon completion of this training, You’ll be able to:
- Work with Black Belts to set up process improvement projects
- Lead a project team to execute departmental-level improvement project
- Apply the tools learned in your day-to-day activities
Who should attend?
This training is relevant for engineers, supervisors, group leaders, executives and officers that need the knowledge and skills in most of the Lean Six Sigma fundamental tools.
Duration
9 days (over multiple phases)
How will I learn?
Our experienced tutors have practical application of the subject matter, enabling them to understand and meet your specific industry requirements.
What will I gain?
On completion of Lean Six Sigma Green Belt Training, with a minimum attendance of 90% per phase, you will receive an internationally recognized BSI certificate of
attendance.
Lean Six Sigma Green Belt certification requirements Option 1 - IASSC Certification
The IASSC Certified Lean Six Sigma Green Belt (ICGB) exam is a 3- hour 100 question proctored exam based on the IASSC Universally
Accepted Lean Six Sigma Body of Knowledge for Black Belts. The Exam contains approximately 20 multiple-choice and true/false questions from each major section of the ILSSBOK for Green Belts.
In order to achieve this accredited designation of IASSC Certified Green Belt (ICGB) from the International Association for Six Sigma Certification, you must complete the IASSC Certified Lean Six Sigma Green Belt Exam and achieve a minimum score of 385 points out of a total potential of 500 points.
*The Certification Exam to be scheduled separately within 2 weeks after the 9 days of LSSGB training. To maintain the professional designation of IASSC Certified Green Belt (ICBB), candidates must sit the IASSC recertification exam every 3 years.
The only method to earn an IASSC certification is to successfully sit for and pass an official IASSC certification™ exam. Our programme includes IASSC Certification exam (for the 1st sitting).
Option 2 – CSSC Certification
The Official CSSC Lean Six Sigma Green Belt Certification exam consists of 100 multiple-choice and true/false questions from the major sections of CSSC Lean Six Sigma Green Belt “Body of Knowledge”. It is an open-book format examination (we encourage the use of the free Self-Study Guide issued by The Council for Six Sigma Certification while taking the exam) that you will have 2 hours
to complete.
To successfully obtain the professional designation of CSSC Certified Lean Six Sigma Green Belt (CSSC-CLSSGB), candidates must successfully complete the CSSC Lean Six Sigma Green Belt Certification Exam and achieve a score of 280 points (or higher) out of a total 400 possible points. Applicants will have 3 attempts to successfully pass the exam. Once the examination assessment fee is paid, applicants will have 1 year to successfully pass the exam.
The only method to earn an CSSC certification is to successfully sit for and pass an official CSSC certification™ exam. Our programme includes CSSC Certification exam (for one exam voucher only).
Option 3 – BSI Certification
- Complete the Lean Six Sigma Green Belt training with a minimum attendance of 90% per phase.
- Pass BSI’s LSSGB certification exam with the minimum score of 70%
- Complete one Lean Six Sigma Green Belt project within 24 months of course completion
- Project report submitted to and approved by BSI
- Project savings/benefits achieved to be validated and endorsed by your organization
Participants must be involved and contribute (analysis and implementation) to the Lean Six Sigma Project either as team leader or team member.
Further information
MINITABTM software will be the official software used during the training
Agenda
Certified Lean Six Sigma Green Belt (Phase 1)
Day
Time
Details
Day 1
09.00 am – 09.15 am
Opening and introduction
09.15 am – 10.30 am
Lean Six Sigma overview
- This topic provides an overview understanding on Lean, Six Sigma and combination of Lean and Six Sigma (i.e. Lean Sigma)
10.30 am – 12.30 pm
Lean Six Sigma overview (Continue)
- This topic provides an overview understanding on Lean, Six Sigma and combination of Lean and Six Sigma (i.e. Lean Six Sigma)
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Project selection
- The topic provides the concept, approaches and templates on effective project selection for Lean Six Sigma, including financial benefits quantification.
03.30 pm – 05.00 pm
Voice of customer
- This topic provides the definition and techniques to translate the voice of the customer to specific technical requirements (i.e. CTQ/ CCR)
Day 2
09.00 am – 10.30 am
Value stream mapping – current state
- This topic provides the step-by-step of the Lean Six Sigma’s key mapping technique for waste identification, process flow bottlenecks and customer demand rate.
10.30 am – 12.30 pm
Data collection plan
- This topic explains the types of data and provides the steps of data collection process.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Descriptive statistics
- This topic explains the measure of central tendency, variability and shape for a set of collected data.
03.30 pm – 05.00 pm
Graphical tools
- This topic provides the application of the commonly used graphical tools in data evaluation and analysis.
Day 3
09.00 am – 10.30 am
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 – gage repeatability and reproducibility.
10.30 am – 12.30 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 – gage repeatability and reproducibility.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Process capability study
- This topic explains the various types of capability measures for discrete and continuous data.
03.30 pm – 05.00 pm
Process capability study (Continue)
- This topic explains the various types of capability measures for discrete and continuous data.
Day 4
09.00 am – 10.30 am
Cause and 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 – 12.30 pm
Failure mode and effect analysis
- This topic explains the concept and applications of FMEA for prevention of potential failure modes.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Probability distributions
- This topic explains the statistical distributions and its applications in probability analysis – Normal, Binomial and Poisson.
03.30 pm – 05.00 pm
Sampling distribution and confidence interval
- This topic provides the calculation and implication of the confidence level and confidence interval in statistical estimation.
Day 5
09.00 am – 10.30 am
Multi-vari study
- This topic provides the concept and application of multi-vari study to identify the most important types of variation.
10.30 am – 12.30 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.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 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.
03.30 pm – 05.00 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.
Certified Lean Six Sigma Green Belt (Phase 2)
Day
Time
Details
Day 6
09.15 am – 10.30 am
Non-parametric methods
- This topic provides an alternative of hypothesis testing for non-normal data condition.
10.30 am – 12.30 pm
Non-parametric methods (continue)
- This topic provides an alternative of hypothesis testing for non-normal data condition.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Chi-squared test
- This topic explains the concept and applications of Chi-Square test for dependency testing.
03.30 pm – 05.00 pm
Correlation and 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.
Day 7
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 – 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 – 03.30 pm
Nonlinear regression
- This topic describes the application of nonlinear regression analysis for quadratic model, cubic model and other complex functions modeling.
03.30 pm – 05.00 pm
Pull production with kanban
- This topic describes the concept and benefits of pull production, the application of Kanban to create pull production, and the implementation of different pull systems used in the industries.
Day 8
09.00 am – 10.30 am
Solution identification, evaluation and implementation planning
- This topic explains the process and techniques to generate, evaluate and implement solutions.
10.30 am – 12.30 pm
Process control and standardization
- This topic describes the importance of process control and standardization and the key activities needed to sustain the gains achieved.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
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.
03.30 pm – 05.00 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.
Day 9
09.00 am – 10.30 am
Attribute control charts
- This topic illustrates the application of the attribute control charts for defectives and defects.
10.30 am – 12.30 pm
Advanced control charts
- This topic explains the concept and application of the time-weighted control charts.
12.30 pm – 01.30 pm
Lunch
01.30 pm – 03.30 pm
Advanced control charts (Continue)
- This topic explains the concept and application of the time-weighted control charts.
03.30 pm – 05.00 pm
Poka-yoke
- This topic provides the concept of zero defects quality and poka-yoke, and the various principles, methods and devices in poka-yoke implementation.
Programme scope, delivery arrangements and suitability are confirmed during enquiry.