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What you'll learn?
- A thorough and practical understanding on the concepts of Six Sigma & Lean operations
Course Overview
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
Pre-requisites
- 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
Target Audience
- 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
Curriculum 40 Lectures 04:33:56
-
Section 1 : Historical Perspective & Introduction to Lean Six Sigma
- Lecture 2 :
- Six Sigma Methodology & the DMAIC Process
-
Section 2 : Define Phase
- 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
- 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
- Lecture 14 :
- Quiz on Measure Phase
-
Section 4 : Analyze Phase
- 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
-
Section 5 : Improve Phase
- 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
-
Section 6 : Control Phase
- 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
-
Section 7 : Conclusive Remarks
- Lecture 1 :
- Conclusion
Our learners work at
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