TÜV SÜD CERTIFIED SIX SIGMA GREEN BELT CERTIFICATION SYLLABUS
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1 TÜV SÜD CERTIFIED SIX SIGMA GREEN BELT CERTIFICATION SYLLABUS About TUV SUD Certified Six Sigma Green Belt Certification TÜV SÜD Certified Six Sigma Green Belt is considered as a mark of quality excellence in industries. It assists certified professionals to advance in their careers and boost their organization s bottom line through their knowledge and skills in quality and problem solving. Becoming certified as a Six Sigma Green Belt confirms your commitment to quality management and the positive impact it will have on your organization. What is Six Sigma Green Belt? Six Sigma is a management tool to improve overall business performance with the use of increased process efficiency and reduction in variation. It is very popular across various industries and sectors. Employees having knowledge of Six Sigma have a distinct advantage over uncertified counterparts. With training and certification in Six Sigma, you can build your capability to bring about breakthrough improvements in your enterprise. The Six Sigma Green Belt certified professional operates in support of or under the supervision of a Six Sigma Black Belt. He or she analyzes and solves quality problems and is involved in quality improvement projects. A Green Belt is someone with at least three years of work experience, who wants to demonstrate his or her knowledge of Six Sigma tools and processes. Learning Objectives To understand the value of Six Sigma To understand organizational drivers and metrics To understand organisational goals and Six Sigma projects To understand the Lean principles in the organisation To understand how Quality Function Deployment fits into DFSS (Design for Six Sigma) process To analyze the difference between DFMEA and PFMEA To understand the road map for DFSS To analyze the process elements (recognize how processes cross various functional areas and the challenges that result for process improvement efforts) To identify process owners, internal and external customers, and other stakeholders in a project To identify how projects impact the customers To identify various methods for collecting the feedback of the customers Learn to use graphical, statistical and qualitative tools Learn to convert customer feedback into project goals and objectives Course Name : Six Sigma Green Belt Version : INVL_SSGB_SY_04_076_1.0 Course ID : QMGT - 120
2 Target Group Engineers /Executives / Professionals working in different sectors seeking knowledge of Six Sigma as a management tool for process improvement at their work place. Quality and Process Managers, Engineers and Executives who need to have a better understanding of Six Sigma and the application of Six Sigma in process / quality improvements. Production Managers, Production Supervisors and Customer Service Managers. Consultants who want to incorporate Six Sigma Green Belt in their service offerings and help their clients implement it. Exam Format Each certification candidate is required to pass a written or online examination that consists of multiple choice questions that assess and measure comprehension of the Body of Knowledge. It is currently offered in English language. Multiple-choice and scenario based examination consisting of 75 questions A pass is achieved by answering 70% of the questions correctly (52 out of 75) Time: 150 minutes Mode: Electronic and pen paper based This is an open book exam Each question is of one mark Pre-Examination Eligibility Criteria Certification candidate is expected to have minimum three years of work experience. Should have attended minimum of 24 hours of classroom training (recommended by any TUV SUD Certified Six Sigma Training partner) OR Should have undergone online training for Six Sigma for minimum of 21 hours engagement (recommended TUV SUD Certified E Learning module) OR Candidates with Certified Yellow Belt certificate Weightage Matrix Course Outlines ( Topic ) Weightage in % Marks Introduction : Six Sigma and Its Overview 7% 5 Six Sigma Define 20% 15 Lean Principles in the Organization 7% 5 Six Sigma Measure 27% 20 Six Sigma Analyze 13% 10 Six Sigma Improve and Control 27% 20
3 Course Curriculum: Programme of Study 1.0 Introduction: Overview of Six Sigma (5 Marks) 1.1 Value of Six Sigma Recognize why organizations use Six Sigma and understand the 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 (15 Marks) 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 and Customer Segmentation Identify and classify internal and external customers as applicable to a particular project, and show how projects impact customers. 2.4 Collect and 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 and 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 7) Activity Network Diagrams Gnatt Charts, PERT and 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 and 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 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.
4 3.0 Lean principles in the organization (5 Marks) 3.1 Lean concepts and tools Define and describe concepts such as value chain, flow, pulls, perfection, etc., and tools commonly used to eliminate waste, including kaizen, 5S, error-proofing, value-stream mapping, etc. 3.2 Value-added and non-value-added activities Identify waste in terms of excess inventory, space, test inspection, rework, transportation, storage, etc., and reduce cycle time to improve throughput. (Understand) 4.0 Six Sigma Measure (20 Questions) 4.1 Process Mapping Develop and review process maps, flowcharts, etc. 4.2 Process Inputs and Outputs Identify process input variables and process output variables (SIPOC), classify as CTQs and CTPs including Control & Noise CTPs. 4.3 Probability and Statistics Distinguish between enumerative (descriptive) and analytical (inferential) studies, and distinguish between a population parameter and a sample statistic. 4.4 Basic Probability Concepts Describe and apply concepts such as independence, mutually exclusive, multiplication rules, etc. 4.5 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. 4.6 Data Collection Methods Define and apply methods for collecting data such as check sheets, stratification, coded data, etc. 4.7 Techniques for Assuring Data Accuracy and Integrity Define and apply techniques such as random sampling, stratified sampling, sample homogeneity, etc. 4.8 Descriptive Statistics Define, compute, and interpret measures of dispersion and central tendency, and construct and interpret frequency distributions and cumulative frequency distributions. 4.9 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 Probability Distributions Describe and interpret binomial, and Poisson, normal, chi square, Student s t, and F distributions.
5 4.11 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 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) 5.0 Six Sigma Analyze (10 Marks ) 5.1 Cause Analysis Root cause analysis, cause and effects analysis. 5.2 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). 5.3 Run Charts Plotting sequential data and analyze for normality, trends, patterns. 5.4 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. 5.5 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 of Six Sigma. 6.0 Six Sigma Improve and Control (20 marks) 6.1 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. 6.2 Process Performance vs. Specification Distinguish between natural process limits and specification limits, and calculate process performance metrics such as percent defective. 6.3 Process Capability Indices Define and calculate Cp and Cpk, and assess process capability. 6.4 Process Performance Indices Define and calculate Pp, Ppk, and assess process performance. 6.5 Short-Term vs. Long-Term Capability Describe the assumptions and conventions that are appropriate when only short-term data is collected and when only attributes data are available. Describe the changes in relationships that occur when long-term data is used, and interpret the relationship between long- and short-term capabilities as it relates to a 1.5 sigma shift.
6 6.6 Process Capability for Attributes Data Compute the Sigma level for a process and describe its relationship to Ppk. 6.7 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. 6.8 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 and moving range, p, np, c, and u. 6.9 Analysis of Control Charts Interpret control charts and distinguish between common and special causes using rules for determining statistical control Control Plans, SOPs, Work Instructions Developing these documents and assisting in implementing controls and monitoring systems. THE INVENSIS LEARNING ADVANTAGE Six Sigma Green Belt Certification Training Course accredited by TUV-SUD Expert SME Trainers and interactive sessions Six Sigma Green Belt practice test questions with detailed answers and explanations provided to build your confidence to pass the exams on the first attempt Copy of course material provided Exam fees included in the classroom training Instructor-led classroom and live online trainings that are always on schedule 30 PDUs certificate offered CONTACT INVENSIS LEARNING TODAY Us support@invensislearning.com invensis.training@gmail.com IND USA UK AUS IND Linkedin Twitter Google + Facebook Pinterest You Tube Flickr Copyright Invensis Learning. All Rights Reserved. Invensis is a registered trademark of Invensis Technologies Pvt Ltd.
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