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  • A thorough and practical understanding on the concepts of Six Sigma & Lean operations

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

  • 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
  • This course will equip Learners with a thorough practical understanding on concepts of Six Sigma, DMAIC methodology & Lean operations
  • 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.
  • Learning imparted in the course is applicable both for manufacturing as well as service operations
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  • Section 1 : Historical Perspective & Introduction to Lean Six Sigma 2 Lectures 00:12:23

    • Lecture 1 :
    • Introduction to Lean Six Sigma Preview
    • Lecture 2 :
    • Six Sigma Methodology & the DMAIC Process
  • Section 2 : Define Phase 4 Lectures 00:31:05

    • Lecture 1 :
    • Define Phase activities, SMART Goals, Voice of Customer
    • Lecture 2 :
    • Translate VOC to CTQ's, Voice of Business, Voice of Process, COPQ
    • Lecture 3 :
    • CTQ Drill down, Process Mapping (SIPOC), Key elements of a Project charter
    • Lecture 4 :
    • Team selection, Team growth stages, Toll gate review
  • Section 3 : Measure Phase 14 Lectures 01:35:33

    • Lecture 1 :
    • Measure phase activities, Operational definition, Methods to collect Data
    • Lecture 2 :
    • Flow chart & Cross function flow chart, VSM, Lead time & Process time
    • Lecture 3 :
    • What is Value, Value adding activities & Non value adding activities
    • Lecture 4 :
    • Types of Data, Data collection plan
    • Lecture 5 :
    • Population & sample, Different types of sampling plan
    • Lecture 6 :
    • Measurement system analysis, Precision & accuracy, How much error is acceptable
    • Lecture 7 :
    • Basic statistics, Measures of central tendency & variation
    • Lecture 8 :
    • Concept of normal distribution, Standard normal distribution, Concept of Z value
    • Lecture 9 :
    • Process base-line (stability of process), Run charts
    • Lecture 10 :
    • What is process stability, Cp (potential process capability), Sigma level & ppm
    • Lecture 11 :
    • What is Cpk, Sigma level across different industries
    • Lecture 12 :
    • Yield (multi-step process), concept of DPMO
    • Lecture 13 :
    • Quiz on Define Phase
      Check you understanding of Define Phase
    • Lecture 14 :
    • Quiz on Measure Phase
      Check your understanding of the Measure Phase
  • Section 4 : Analyze Phase 7 Lectures 00:43:51

    • Lecture 1 :
    • Analyze phase activities, Analysis tools, Ishikawa diagram, 5 Why analysis
    • Lecture 2 :
    • Brain storming, Data stratification, Check sheets
    • Lecture 3 :
    • What is FMEA, Process to conduct FMEA
    • Lecture 4 :
    • Practical illustrations of FMEA
    • Lecture 5 :
    • Modelling relationship between variables (Correlation),Uses of correlation study
    • Lecture 6 :
    • Regression, Simple Linear & Multiple Linear regression
    • Lecture 7 :
    • Quiz on Analyze Phase
      Check your understanding of Analyze Phase
  • Section 5 : Improve Phase 5 Lectures 00:43:48

    • Lecture 1 :
    • Improve phase activities, Generate solution ideas, Scamper& Mind mapping tools
    • Lecture 2 :
    • Lean tools for improvement, 5S, Push vs Pull systems
    • Lecture 3 :
    • What is SMED, How SMED is done, Practical illustrations of SMED
    • Lecture 4 :
    • What is Kaizen, Kaizen process,Piloting the solution & Full-scale implementation
    • Lecture 5 :
    • Quiz on improve Phase
      Check your understanding of the Improve Phase
  • Section 6 : Control Phase 7 Lectures 00:47:16

    • Lecture 1 :
    • Types of control methods, introduction to Statistical Process Control (SPC)
    • Lecture 2 :
    • Common causes & Special causes, Why use SPC
    • Lecture 3 :
    • Procedure for controlcharts, Rational subgroups, Common "out of control" signals
    • Lecture 4 :
    • Control chart selection, Control chart for variable data, The Xbar-R chart
    • Lecture 5 :
    • Control chart for discrete data, defect and defectives, P-control chart
    • Lecture 6 :
    • What is Poka Yoka, Methodology of Poka Yoka, Illustrations of Poka Yoka
    • Lecture 7 :
    • Quiz on Control Phase
      Check your understanding of the Control Phase
  • Section 7 : Conclusive Remarks 1 Lectures 00:00:00

    • Lecture 1 :
    • Conclusion
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Parag Dadeech, is a Lean Six Master Black Belt & an operational excellence expert. He comes with over 27+ years of diversified industry experience spanning multiple business sectors. He has extensively travelled globally (North & Latin America, Asia Pacific, Middle East, EU, India) and has executed challenging business excellence and engineering projects encompassing diverse industrial sectors. He is highly passionate about upskilling business professionals globally to accomplish highest standards of performance & excellence.
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