Dear Learners,I welcome you to this comprehensive course on Lean Six Sigma Green Belt. I am Parag Dadeech, with extensive leadership experience in India & globally across a variety of business sectors. This course has been prepared quite meticulously to ensure that you are able to grasp all the major concepts with ease & be able to apply concepts practically. I am quite confident that the course shall impart you with a strong foundation on the concepts & tools of the Lean Six Sigma. It will also help you to progress on the Black-Belt training, with lots of confidence & ease, if you do decide to pursue it. In the present times of cut-throat competition & ever demanding needs of the customer, the knowledge & concepts of Lean Six Sigma will be essential for organizations to deliver increased value & achieve higher operational efficiencies. This course is covered in “6 Sections with 34 lectures” & various quizzes and illustrations, during the different phases of the course. I do sincerely hope that you have an enjoyable as well as a valuable learning experience. I would also request you to proactively reach out to me, on how you did found this course & if you seek any clarification on any of the concepts taught in this course. Thank you, for enrolling. Section-1 (Historical perspective & introduction to Six Sigma)Lecture-1 Historical perspective Features of Six-Sigma Lean + Sigma (a very good tool)Lecture-2 Six Sigma methodology Introduction to DMAIC methodologySection-2 (Define Phase)Lecture-3 Define phase activities SMART Goals Project identification VOC (Voice of customer)Lecture-4 Translate VOC to CTQs VOB (Voice of Business) VOP (Voice of Process) COPQ (Cost of Poor Quality)Lecture-5 CTQ Drill down Process Mapping (SIPOC Analysis) Key elements of Project CharterLecture-6 Team selection Team growth stages Toll gate reviewsSection-3 (Measure Phase)Lecture-7 Measure phase activities Operational definition Methods to collect data Types of Process MapsLecture-8 Flow chart & Cross functional flow chart Value stream mapping & Benefits of VSM Lead Time & Process TimeLecture-9 What is Value Value adding activities (VA) Non-Value adding activities (NVA)Lecture-10 Types of Data Data collection planLecture-11 Population & sample Different types of sampling planLecture-12 Measurement system analysis What is precision & accuracy How much Error is acceptableLecture-13 Basic statistics Measures of central tendency Measures of variationLecture-14 Concept of Normal distribution Standard Normal distribution Concept of Z-valueLecture-15 Process Base Line (stability of process) Run chartsLecture-16 What is process stability Cp (potential process capability) Sigma level & PPMLecture-17 What is Cpk What should be desired Cpk Sigma Level across different business sectorsLecture-18 Yield (Multi-step process) Concept of DPMOSection-4 (Analyze Phase)Lecture-19 Analyze phase activities Some analysis Tools Ishikawa Diagram 5 Why AnalysisLecture-20 Brainstorming Data stratification Check sheetsLecture-21 What is FMEA & history of FMEA FMEA ProcessLecture-22 Illustrations of FMEALecture-23 Modelling relationship between variables (Correlation) Correlation coefficient Uses of correlation studyLecture-24 Modelling relationship between variables (Regression) Simple Linear regression & multiple Linear regressionSection-5 (Improve Phase)Lecture-25 Improve phase activities Generate solution ideas SCAMPER & Mind Mapping Six Thinking HatsLecture-26 Lean Tools for improvement 5S Technique Push versus Pull systemsLecture-27 What is SMED Steps in SMED Practical illustration of SMEDLecture-28 What is Kaizen Kaizen Process Piloting the solution & Full-scale implementationSection-6 (Control Phase)Lecture-29 Control Phase Types of control methods Introduction to Statistical Process control (SPC)Lecture-30 Common Causes & special causes Illustration of Common Causes & special causes Why use SPCLecture-31 Procedure for control charts What is Rational sub-group What are common “out of control” signalsLecture-32 How do you select correct “control chart” Control chart for “variable data” The Xbar-R chartLecture-33 Illustration of Xbar-R chart Control chart for discrete data What is meant by “defect” and “defectives” The P-control chart & illustration of P-chart. Lecture-34 What is Poka Yoka Poka Yoka Methodology Illustrations of Poka Yoka Conclusive RemarksWarm Regards, Parag Dadeech
