Lean Six Sigma Green Belt

Dear Learners,

I welcome you to this comprehensive course on “Lean Six Sigma Green Belt”. I am Parag Dadeech, Lean Six Sigma Master Black Belt, 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.

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 methodology

Section-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 Charter

Lecture-6

• Team selection

• Team growth stages

• Toll gate reviews

Section-3 (Measure Phase)

Lecture-7

• Measure phase activities

• Operational definition

• Methods to collect data

• Types of Process Maps

Lecture-8

• Flow chart & Cross functional flow chart

• Value stream mapping & Benefits of VSM

• Lead Time & Process Time

Lecture-9

• What is Value

• Value adding activities (VA)

• Non-Value adding activities (NVA)

Lecture-10

• Types of Data

• Data collection plan

Lecture-11

• Population & sample

• Different types of sampling plan

Lecture-12

• Measurement system analysis

• What is precision & accuracy

• How much Error is acceptable

Lecture-13

• Basic statistics

• Measures of central tendency

• Measures of 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

• What should be desired Cpk

• Sigma Level across different business sectors

Lecture-18

• Yield (Multi-step process)

• Concept of DPMO

Section-4 (Analyze Phase)

Lecture-19

• Analyze phase activities

• Some analysis Tools

• Ishikawa Diagram

• 5 Why Analysis

Lecture-20

• Brainstorming

• Data stratification

• Check sheets

Lecture-21

• What is FMEA & history of FMEA

• FMEA Process

Lecture-22

• Illustrations of FMEA

Lecture-23

• Modelling relationship between variables (Correlation)

• Correlation coefficient

• Uses of correlation study

Lecture-24

• Modelling relationship between variables (Regression)

• Simple Linear regression & multiple Linear regression

Section-5 (Improve Phase)

Lecture-25

• Improve phase activities

• Generate solution ideas

• SCAMPER & Mind Mapping

• Six Thinking Hats

Lecture-26

• Lean Tools for improvement

• 5S Technique

• Push versus Pull systems

Lecture-27

• What is SMED

• Steps in SMED

• Practical illustration of SMED

Lecture-28

• What is Kaizen

• Kaizen Process

• Piloting the solution & Full-scale implementation

Section-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 SPC

Lecture-31

• Procedure for control charts

• What is Rational sub-group

• What are common "out of control" signals

Lecture-32

• How do you select correct "control chart"

• Control chart for "variable data"

• The Xbar-R chart

Lecture-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 Remarks

Warm Regards,

Parag Dadeech