Lean Six Sigma Green Belt training builds the proficiency in the trainees to improve the capability of a process instead of controlling product quality. The courses focus on all the aspects of the DMAIC and develop strong problem-solving skills. By exploring the Six Sigma tools, the participants will take deep into the process improvement conducted at small-scale. They can successfully deploy Six Sigma projects by laying emphasis on cost reduction and process cycle time reduction while improving the customer satisfaction.
By the end of the Lean Six Sigma Green Belt training course, you can exhibit the following skills:
Understand the concept of Six Sigma
Describe the DMAIC approach for process improvement
Explain the tools and techniques used in different phases of DMAIC i.e. Define, Measure, Analyse, Improve and Control phases
Determine how to analyse process data and solve problems by controlling the processes
Lead small-scale Six Sigma projects or assist Black Belts on large-scale projects to deliver tangible results
Target audience
IT Professionals
Business Professionals
Operations Managers
Senior team leaders
Quality and process improvement professionals
Aspirants interested in process improvement
Individuals interested in becoming Six Sigma professionals
Prerequisites
Two years of working experience in the filed of quality/process management
OR
Lean Six Sigma Yellow Belt Certified
Exam(s)
On writing the examination, get certified from any of the organization Multisoft Systems or IASSC (International Association for Six Sigma Certification) as per your preference.
Recognize why organizations use six, Origins of six sigma
1.2 Organizational drivers and metrics
Recognize key drivers for business (profit, market share, customer satisfaction,
efficiency, product differentiation) and how key metrics and scorecards are
developed and impact the entire organization.
2.0 Six Sigma—Define
2.1 Process elements
Define and describe SIPOC
2.2 Owners and stakeholders
Identify process owners, internal and external customers, and other stakeholders
in a project.
2.3 Identify Customers & Customer Segmentation
Identify and classify internal and external customers as applicable to a particular
project, and show how projects impact customers.
2.4 Collect & Classify Customer data
VOC, Survey Methods, Kano Analysis.
2.5 Translate Customer requirements
Translate customer feedback into project goals and objectives, including critical to
quality (CTQ) attributes and requirements statements. Use of Quality
Function Deployment (QFD) to translate customer requirements into performance
measures
2.6 Project Identification & Planning tools
Define, select, and use 1) Affinity Diagrams, 2) Interrelationship Digraphs, 3) Tree
Diagrams, 4) Prioritization Matrices, 5)Matrix Diagrams, 6) Process Decision
Program (PDPC) Charts, and 7) Activity Network Diagrams – Gnatt Charts, PERT
& CPM.
2.7 Organizational goals and six sigma projects
Describe the project selection process, including knowing when to use six sigma
DMAIC methodology.
2.8 Project Charter & Project Metrics
Define and describe elements of a Project Charter. Development of metrics –
COQ, DPU, DPMO, RTY
2.9 Team stages and DMAIC
Define and describe the stages of team evolution, including forming, storming,
norming, performing, adjourning, and connectivity with DMAIC.
2.10 Six sigma - team roles and responsibilities
Describe and define the roles and responsibilities of participants on six sigma
teams, including black belt, master black belt, green belt, champion, executive,
coach, facilitator, team member, sponsor, process owner, etc.
3.0 Six Sigma—Measure
3.1 Process Mapping
Develop and review process maps, flowcharts, etc.
3.2 Process inputs and outputs
Identify process input variables and process output variables (SIPOC), classify as
CTQs & CTPs including Control & Noise CTPs.
3.3 Probability and statistics
Distinguish between enumerative (descriptive) and analytical (inferential) studies, and
distinguish between a population parameter and a sample statistic.
3.4 Basic probability concepts
Describe and apply concepts such as independence, mutually exclusive,
multiplication rules, etc.
3.5 Types of data and measurement scales
Identify and classify continuous (variables) and discrete (attributes) data. Describe
and define nominal, ordinal, interval, and ratio measurement scales.
3.6 Data collection methods
Define and apply methods for collecting data such as check sheets, Stratification,
coded data, etc.
3.7 Techniques for assuring data accuracy and integrity
Define and apply techniques such as random sampling, stratified sampling, sample
homogeneity, etc.
3.8 Descriptive statistics
Define, compute, and interpret measures of dispersion and central tendency, and
construct and interpret frequency distributions and cumulative frequency distributions.
3.9 Graphical methods
Depict relationships by constructing, applying and interpreting diagrams and charts
such as stem-and-leaf plots, box-and-whisker plots, run charts, scatter diagrams,
Pareto charts, etc. Depict distributions by constructing diagrams such as histograms,
normal probability plots, etc.
3.10 Probability distributions
Describe and interpret binomial, and Poisson, normal, chi square, Student’s t, and F
distributions
.
3.11 Central limit theorem and sampling distribution of the mean
Define the central limit theorem and describe its significance in the application of
inferential statistics for confidence intervals, control charts, etc.
3.12 Measurement system analysis
Calculate, analyze, and interpret measurement system capability using repeatability
and reproducibility (GR&R), measurement correlation, bias, linearity, percent
agreement, and precision/tolerance (P/T)
4.0 Sigma—Analyze
4.1 Cause Analysis
Root Cause Analysis, Cause & Effects Analysis.
4.2 Failure Mode and Effects Analysis (FMEA)
Define and describe failure mode and effects analysis (FMEA). Describe the purpose
and use of the risk priority number (RPN).
4.3 Run Charts
Plotting Sequential data & analyze for Normality, Trends, Patterns.
4.4 Multi-Vari studies
Create and interpret multi-vari studies to interpret the difference between positional,
cyclical, and temporal variation; apply sampling plans to investigate the largest
sources of variation. (Create)
4.5 Simple linear correlation and regression
Interpret the coefficients of co-relation & determination – r & R2 and determine;
recognize the difference between correlation and causation. Interpret the linear
regression equation and determine its statistical significance. Use regression models
5.0 Six Sigma—Improve and Control
5.1 Process capability and performance
Identify, describe, and apply the elements of designing and conducting process capability
studies, including identifying characteristics, identifying specifications and tolerances,
developing sampling plans, and verifying stability and normality.
5.2 Process performance vs. specification
Distinguish between natural process limits and specification limits, and calculate process
performance metrics such as percent defective. (Evaluate)
5.3 Process capability indices
Define, and calculate Cp and Cpk, and assess process capability.
5.4 Process performance indices
Define, and calculate Pp, Ppk, and assess process performance.
5.5 Short-term vs. long-term capability
Describe the assumptions and conventions that are appropriate when only short-term data
are collected and when only attributes data are available. Describe the changes in
relationships that occur when long-term data are used, and interpret the relationship
between long- and short-term capabilities as it relates to a 1.5 sigma shift.
5.6 Process capability for attributes data
Compute the sigma level for a process and describe its relationship to Ppk.
5.7 Statistical Process Control (SPC)
Define and describe how rational sub-grouping is used. Describe the objectives and
benefits of SPC, including controlling process performance, identifying special and
common causes, etc.
5.8 Selection and application of Control Charts
Identify, select, construct, and apply the following types of control charts: X-bar −R, Xbar−
s, individuals and moving range (I-mR / X-mR), Pre-Control chart, median & moving
range, p, np, c, and u.
5.9 Analysis of control charts
Interpret control charts and distinguish between common and special causes using rules
for determining statistical control.
5.10 Control plans, SOPs, Work Instructions.
Developing these documents and holds the gains, and assist in implementing controls and
monitoring systems.
I would like to thank Multisoft team for their constant support and help that they extended during my study period. I gained proficiency in planning, initiation, closing, and execution, and now I am moderately proficient in monitoring and controlling process groups and cleared my PMP exam on 30th May. I am thankful to Multisoft for the same. I would like to especially thank the Training Advisor for the constant support, as all my queries were answered properly. Also, the sessions were arranged to clarify doubts, along with the mock test sessions.
Abhishek
Project Management Professional (PMP)
It as been a wonderful experience learning Primavera from Multisoft Systems. I got training from an expert trainer who holds great command over the course. He delivered Primavera training with full enthusiasm and dedication, that helped me gain confidence over the software. He undertook each and every topic in a well regulated manner, covering all the aspects of Primavera. He was patient in clearing the doubts which came along the learning way.
Mohnish Kumar
Manager Planning, Synergiz Global Services Pvt. Ltd.
Multisoft Systems is a one-stop solution for different learning requirements. I had gone for multiple
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Zeta Automation Systems, Sudan
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HCL
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Product Consultant, Adobe India
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Telecommunication Consultants India Ltd. (TCIL)
PMP Training
The training was excellent and knowledgeable, full of illustrations. The trainer was very good in presentation skills and conveying himself. This course has enhanced my skills in ITIL.
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BirlaSoft
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CEH Training
I would say the skills and knowledge of the trainer were excellent. His way of teaching was also good. He always ensures that students should understand the concept and try to teach in the way which is easy to grasp the concepts. He was supportive in clearing the doubts throughout the classes.
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Information Security Analyst, Bank of America
Great training experience at Multisoft. The trainer with a highly practical approach
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SAS Training
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Thank you to everyone.
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CBAP Training
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RHCSA Training
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Binary Semantics Ltd., Sr. Data Analyst
Base & Advance SAS Training
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