Description
Dear Learners, I welcome you to this comprehensive course on "Lean Six Sigma Green Belt". I am Parag Dadeech with leadership experience in India & globally across a multiple sectors of industry. 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 these concepts practically. I am quite confident that this course shall impart you with a thorough knowledge 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, whenever you do decide to pursue it. In the present times of cut-throat competition & ever demanding needs of the customer, the knowledge 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 & valuable learning experience. I would also request you to reach out to me on how you 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 CTQ's• 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
