Lean Six Sigma Green Belt - A Comprehensive Course

Lean Six Sigma for high efficiency. A thorough learning from expert with extensive global leadership experience.

What you'll learn
This course will equip Learners with a thorough practical understanding on concepts of "Six Sigma & DMAIC methodology", "Main Tools" & "Lean operations"
Learning imparted in the course is applicable both for "manufacturing" as well as "service operations"
Lean methodology
DMAIC Approach to Six Sigma
Lean Six-Sigma
Requirements
There are no special prerequisites needed for the course. What is needed is the inquisitiveness to Learn & expand your knowledge. Rest everything just flows.
This course will be quite useful & practical for beginners as well as advanced learners
Description
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 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

Overview

Section 1: Historical Perspective & introduction to Six Sigma

Lecture 1 Introduction to Lean Six Sigma

Lecture 2 Six Sigma Methodology & DMAIC Process

Section 2: Section-2- Define Phase

Lecture 3 Define Phase activities, SMART goals, Voice of customer (VOC)

Lecture 4 Translate VOC to CTQ's, Voice of Business, Voice of Process, COPQ

Lecture 5 CTQ Drill down, Process Mapping (SIPOC), Key elements of a Project charter

Lecture 6 Team selection, Team growth stages, Toll gate review

Section 3: Section-3- Measure Phase

Lecture 7 Measure phase activities, Operational definition, Methods to collect Data

Lecture 8 Flow chart & Cross function flow chart, VSM, Lead time & Process time

Lecture 9 What is Value, Value adding activities & Non value adding activities

Lecture 10 Types of Data, Data collection plan

Lecture 11 Population & sample, Different types of sampling plan

Lecture 12 Measurement system analysis, Precision & accuracy, How much error is acceptable

Lecture 13 Basic statistics, Measures of central tendency & variation

Lecture 14 Concept of normal distribution, Standard normal distribution, Concept of Z value

Lecture 15 Process base-line (stability of process), Run charts

Lecture 16 What is process stability, Cp (potential process capability), Sigma level & ppm

Lecture 17 What is Cpk, Sigma level across different industries

Lecture 18 Yield (multi-step process), concept of DPMO

Section 4: Section-4 Analyze phase

Lecture 19 Analyze phase activities, Analysis tools, Ishikawa diagram, 5 Why analysis

Lecture 20 Brain storming, Data stratification, Check sheets

Lecture 21 What is FMEA, Process to conduct FMEA

Lecture 22 Practical illustrations of FMEA

Lecture 23 Modelling relationship between variables (Correlation),Uses of correlation study

Lecture 24 Regression, Simple Linear & Multiple Linear regression

Section 5: Section-5 Improve Phase

Lecture 25 Improve phase activities, Generate solution ideas, Scamper& Mind mapping tools

Lecture 26 Lean tools for improvement, 5S, Push vs Pull systems

Lecture 27 What is SMED, How SMED is done, Practical illustrations of SMED

Lecture 28 What is Kaizen, Kaizen process,Piloting the solution & Full-scale implementation

Section 6: Section-6 Control Phase

Lecture 29 Types of control methods, introduction to Statistical Process Control (SPC)

Lecture 30 Common causes & Special causes, Why use SPC

Lecture 31 Procedure for controlcharts, Rational subgroups, Common "out of control" signals

Lecture 32 Control chart selection, Control chart for variable data, The Xbar-R chart

Lecture 33 Control chart for discrete data, defect and defectives, P-control chart

Lecture 34 What is Poka Yoka, Methodology of Poka Yoka, Illustrations of Poka Yoka

Section 7: Conclusive remarks

Lecture 35 Conclusion

This course will be very useful for business practitioners & learners coming from diversified sectors, such as - manufacturing, operations, marketing, supply chain or service industries. It shall also be useful to students of business, operations or engineering. The Tools, Methodology & Principles taught in this course are quite universal in approach & can be deployed across diversified sectors.