Six Sigma Green Belt Training
The Six Sigma Green Belt training course is designed to provide knowledge and skills to become a successful Process excellence expert. It starts with the fundamental concepts of Understanding VOC, Converting them into potential projects, Baselining measure to advance topics of Analyzing data, Improving process/ metric and ensure consistency.
After the completion of ‘Six Sigma Green Belt training’ course , you should be able to:
- Understand Customer’s wants and translate that into business requirements
- Explore Six Sigma tools with functions like Fishbone, Pareto Concepts, Statistical tools etc.
- Apply various Statistical techniques
- Perform Data driven Analysis
- Learn where to use functions – like MEAN, MEDIAN, MODE ,Co-relation analysis etc.
- Apply MINITAB 14, MS Excel & MS Powerpoint to create fancy plots
- Implement Changes in your respective organization
- Work on a real life Project, implementing Six Sigma techniques to derive Business Insights
The Six Sigma Green Belt Training course is designed for professionals who want to learn Process improvement techniques and wish to apply it on Operational metrics & performance data
e.g. : ASA,AHT, MTFR, MTTR, MTTC, MTIA, FDR, CSAT, TSAT etc.,
Best Suited for
- Delivery leaders,
- Business Analyst/ Data analyst,
- Project Managers
- Process Improvement Experts
- Change management teams
- Program Managers
- Basic project management knowledge
- Basic knowledge on statistics (or) & improvement techniques
- Ability to drive change & leadership skills
- Effective communication & Presentation skills
- Knowledge on MS office applications (MS Excel & MS PowerPoint
Six Sigma Green Belt Training is a set of techniques that follows a methodological approach for bringing process improvements by aligning organizational goals. Organizations worldwide seek experts who understand the strategic objectives of businesses, critical requirements and operational goals to drive improvement.
Every service industry/organization seeks for process experts with Six Sigma techniques to be a leader in the competitive market.
Towards the end of the Course, you will be working on a project where you will be using Six Sigma methods and tools to perform baseline and data analytics. Here are the few Industry-wise (technology) case studies e.g. Finance, Retail, Media, Aviation etc. which you can take up as your project work:
Project #1 : Reduce Cycle time
Industry : Service Industry
Data : Time taken to resolve tickets
Problem Statement : Reducing the time taken to resolve tickets positively impacts customer satisfaction
Project #2 : Improve Customer satisfaction
Industry : Telecom Giant
Data : CSAT
Problem Statement : Consistent improvement on customer satisfaction increases customer retention and organizational wide growth and stability.
Six Sigma Green Belt Training Duration :- 3 Days
1. Overview DEFINE
Learning Objectives: In this module, you will learn about overview and history of Six Sigma, benefits of Six Sigma and you will get a kick start on a Six Sigma Project.
Topics: Introduction & overview of six sigma project management, Who are customers, what are the types of customers?, What is Voice Of Customer(VOC), What are Critical To Quality (CTQ ), How do we map CTQs to internal Critical to Business Processes (CBP ), Elements of a project charter- Problem statement, Business case, Goal statement, Project scope & Project team.
Learning Objectives: In this module, you will understand baselining the metric of Improvement, the types of data and Data Collection plan.
Topics: Process analysis & mapping, Identifying the detailed AS-IS processes, Understanding the tools to create a process map, Dos & Don’ts of process mapping, SIPOC, Understanding data, Types of data & characteristics, Basic statistics – Mean, Median, Mode, Standard deviation & Variation, Data collection techniques, Understanding data sampling and techniques, Defining a unit and evaluating DPU, DPO, DPMO, Computing process sigma for discrete & continuous data type.
Learning Objectives: In this module, you will understand the Data driven approach of analyzing data and use of various statistical techniques to infer results.
Topics: Data analysis techniques, Tools used for data analysis, Pareto Chart, Fishbone, FMEA.
Statistical hypothesis to validate the assumption ( Assumption based on P-value), Understanding Type I and Type II error, Analysis of Means using variation (ANOVA), Analyzing the statistical significance of 2 data sets using Correlation, Usage of Regression models to predict & estimate Y’s with X inputs.
Interpreting Chi-Square to determine statistical significance.
Learning Objectives: Various improvement methodologies to improve the process, prioritizing Root causes and shortlisting solutions.
Topics: Understanding Value, Evaluating Value added & Non value added activities using Value stream mapping, 5S ( Set, Sort, Straighten, Strengthen, Stabilize),Muda, Driving Kaizen events
Learning Objectives: In this module, you will learn to develop control mechanism. You will also learn about tools like Control Charts, which will be used depending on the type of data and sustenance measures.
Topics: Establishing Control Plans to sustain gains, Introduction to Statistical process Control (SPC) Charts, Identifying special and common causes, etc. ,Selection and application of right control charts, Application of the following types of Control charts: X bar R, X bar S, individual and moving range (ImR/ Xmr),NP,P,C and U.
Analysis of Control Charts- Interpret control charts results, common & special causes using rules for determining statistical control. Controlling the changes using poka yoke (mistake proofing), Analyzing new process capability and defining control plans