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LEAN SIX SIGMA
YELLOW BELT
July 2021
TRAINING OVERVIEW:
 2 days.
 From 10 am to 2:30 pm.
 Teams online event.
 Pls. put your microphone on silence mode.
 Questions are welcomes.
Measure Phase
Introduction
1
Define Phase
2
3
Analyze Phase
4
Improve Phase
5
Control Phase
6
LSSYB
Day1+ Day2
Agenda
TRAINING PROGRAM
Day Subject Sub-Subject Hrs
Day
1
Part 1
Introduction Introduction to Six Sigma - Lean
Manufacturing Concepts – Lean Six
Sigma – Lean Six Sigma Methodology
(DMAIC)
10h00 –
12h00
Break 12h00 –
12h30
Part 2
Define Phase VOC – Project Selection– Project Charter
– Process Inputs and Outputs
12h30 –
14h30
Day
2
Part 1
Measure Phase Sample & Population – Types of Data –
Descriptive Statistics – Data Collection
Plan – MSA
10h00 –
11h00
Analyze Phase Root Cause Analysis 11h00 –
12h00
Break 12h00 –
12h30
Part 2
Improve Phase 5S – VMS – A3 – Poka Yoke 12h30 –
13h30
What is Six Sigma?
• Six Sigma is a philosophy about continuous improvements.
• Six Sigma is about stopping defects before they happen, Reduces defects most important to
the customer.
• Changes focus from fixing products to fixing processes so they make excellent products.
History of Six Sigma
• Six Sigma was born when Motorola launched its six sigma quality program in 1987.
• Then six sigma transferred to another companies such as : General Electric, Allied Signal &
others.
WHAT’S LEAN MANUFACTURING?
• A systematic approach aims at minimize waste.
• Lean is a way of doing more with less. Less human effort, less equipment, material,
time and space.
• Lean is about what’s important to the customer.
Lean is not about eliminating people
Lean Six Sigma
• Lean Six Sigma is the combination of complimentary systems that focus squarely on improving the
client experience.
• The fundamental principles of Lean Six Sigma can be summed up simply:
1. Removing Defects/ Errors/ Problems.
2. Streamlining flow through Lean.
3. Reducing variation with Six Sigma.
LEAN SIX SIGMA METHODOLOGY
- DMAIC CYCLE
Define
Measure
Analyze
Improve
Control
Problem
Identification
Understand the
problem and the
financial effects
Problem
Measurement
Develop an
investigation plan
Problem Analysis
Identify the
significant causes &
effects
Sustainability
Control the
variables and
guarantee the
benefit
Execution
Develop
improvement
s;
select
solutions
DAMIC CYCLE
Define
•VOC
•Project Selection
•Project Charter
•SIPOC
•Process Map
Measure
•Sample &
Population
•Types of Data
•Basic Statistics
•Data Collection
Plan
•MSA
Analyze
•Root Cause
Analysis
Improve
•5S & VMS
•A3
•Poka Yoke
Control
•FMEA
•Control Plan
SIX SIGMA METHODOLOGY - DMAIC
CYCLE Problem
Identification
Understand the
problem and the
financial effects
SIX SIGMA METHODOLOGY - DMAIC
CYCLE
Problem
Measurement
Develop an
investigation plan
SIX SIGMA METHODOLOGY - DMAIC
CYCLE
Problem Analysis
Identify the
significant causes &
effects
SIX SIGMA METHODOLOGY - DMAIC
CYCLE
Execution
Develop
improvement
s;
select
solutions
SIX SIGMA METHODOLOGY - DMAIC
CYCLE
Define
Measure
Analyze
Improve
Control
Sustainability
Control the
variables and
guarantee the
benefit

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Lean Six Sigma Yellow Belt Training Overview

  • 1. LEAN SIX SIGMA YELLOW BELT July 2021
  • 2. TRAINING OVERVIEW:  2 days.  From 10 am to 2:30 pm.  Teams online event.  Pls. put your microphone on silence mode.  Questions are welcomes.
  • 3. Measure Phase Introduction 1 Define Phase 2 3 Analyze Phase 4 Improve Phase 5 Control Phase 6 LSSYB Day1+ Day2 Agenda
  • 4. TRAINING PROGRAM Day Subject Sub-Subject Hrs Day 1 Part 1 Introduction Introduction to Six Sigma - Lean Manufacturing Concepts – Lean Six Sigma – Lean Six Sigma Methodology (DMAIC) 10h00 – 12h00 Break 12h00 – 12h30 Part 2 Define Phase VOC – Project Selection– Project Charter – Process Inputs and Outputs 12h30 – 14h30 Day 2 Part 1 Measure Phase Sample & Population – Types of Data – Descriptive Statistics – Data Collection Plan – MSA 10h00 – 11h00 Analyze Phase Root Cause Analysis 11h00 – 12h00 Break 12h00 – 12h30 Part 2 Improve Phase 5S – VMS – A3 – Poka Yoke 12h30 – 13h30
  • 5. What is Six Sigma? • Six Sigma is a philosophy about continuous improvements. • Six Sigma is about stopping defects before they happen, Reduces defects most important to the customer. • Changes focus from fixing products to fixing processes so they make excellent products. History of Six Sigma • Six Sigma was born when Motorola launched its six sigma quality program in 1987. • Then six sigma transferred to another companies such as : General Electric, Allied Signal & others.
  • 6. WHAT’S LEAN MANUFACTURING? • A systematic approach aims at minimize waste. • Lean is a way of doing more with less. Less human effort, less equipment, material, time and space. • Lean is about what’s important to the customer. Lean is not about eliminating people
  • 7. Lean Six Sigma • Lean Six Sigma is the combination of complimentary systems that focus squarely on improving the client experience. • The fundamental principles of Lean Six Sigma can be summed up simply: 1. Removing Defects/ Errors/ Problems. 2. Streamlining flow through Lean. 3. Reducing variation with Six Sigma.
  • 8. LEAN SIX SIGMA METHODOLOGY - DMAIC CYCLE Define Measure Analyze Improve Control Problem Identification Understand the problem and the financial effects Problem Measurement Develop an investigation plan Problem Analysis Identify the significant causes & effects Sustainability Control the variables and guarantee the benefit Execution Develop improvement s; select solutions
  • 9. DAMIC CYCLE Define •VOC •Project Selection •Project Charter •SIPOC •Process Map Measure •Sample & Population •Types of Data •Basic Statistics •Data Collection Plan •MSA Analyze •Root Cause Analysis Improve •5S & VMS •A3 •Poka Yoke Control •FMEA •Control Plan
  • 10. SIX SIGMA METHODOLOGY - DMAIC CYCLE Problem Identification Understand the problem and the financial effects
  • 11. SIX SIGMA METHODOLOGY - DMAIC CYCLE Problem Measurement Develop an investigation plan
  • 12. SIX SIGMA METHODOLOGY - DMAIC CYCLE Problem Analysis Identify the significant causes & effects
  • 13. SIX SIGMA METHODOLOGY - DMAIC CYCLE Execution Develop improvement s; select solutions
  • 14. SIX SIGMA METHODOLOGY - DMAIC CYCLE Define Measure Analyze Improve Control Sustainability Control the variables and guarantee the benefit

Editor's Notes

  1. Define: Clearly define a problem, develop the business case, understand the client’s needs (Voice of the Client), create high level view of the process, and articulate a project plan. Measure: Develop process measures, perform data collection activities, validate the data quality, evaluate current process capability and performance (Voice of the process). Analyze: Analyze the process, explore potential root case theories, verify these theories with data, and explore cause and effect (list critical Xs). Improve: Generate potential solutions, assess the implementation risks, select the optimum solution, pilot and evaluate solution, formalize implementation. Control: Develop and implement process controls, standardize the solutions, quantify and validate the improvement, close the project. • Define : – Establish project charter and scope – Determine return, resources, timing – Ensure management commitment • Measure : – Generate process “is” map – Prioritize project Y’s and document process input variables – Access critical Y initial capability and measurement system • Analyze : – Establish input variable (X’s) ranking via Prioritization matrix – Use the statistical tools to identify the root cause. – Gather additional information via passive data collection/analysis • Improve – Do active data collection/analysis (FMEA, etc.) on key inputs • Control – Develop/Implement control plans to maintain gains – Gather long term capability
  2. Define: Clearly define a problem, develop the business case, understand the client’s needs (Voice of the Client), create high level view of the process, and articulate a project plan. Measure: Develop process measures, perform data collection activities, validate the data quality, evaluate current process capability and performance (Voice of the process). Analyze: Analyze the process, explore potential root case theories, verify these theories with data, and explore cause and effect (list critical Xs). Improve: Generate potential solutions, assess the implementation risks, select the optimum solution, pilot and evaluate solution, formalize implementation. Control: Develop and implement process controls, standardize the solutions, quantify and validate the improvement, close the project. • Define : – Establish project charter and scope – Determine return, resources, timing – Ensure management commitment • Measure : – Generate process “is” map – Prioritize project Y’s and document process input variables – Access critical Y initial capability and measurement system • Analyze : – Establish input variable (X’s) ranking via Prioritization matrix – Use the statistical tools to identify the root cause. – Gather additional information via passive data collection/analysis • Improve – Do active data collection/analysis (FMEA, etc.) on key inputs • Control – Develop/Implement control plans to maintain gains – Gather long term capability
  3. Define: Clearly define a problem, develop the business case, understand the client’s needs (Voice of the Client), create high level view of the process, and articulate a project plan. Measure: Develop process measures, perform data collection activities, validate the data quality, evaluate current process capability and performance (Voice of the process). Analyze: Analyze the process, explore potential root case theories, verify these theories with data, and explore cause and effect (list critical Xs). Improve: Generate potential solutions, assess the implementation risks, select the optimum solution, pilot and evaluate solution, formalize implementation. Control: Develop and implement process controls, standardize the solutions, quantify and validate the improvement, close the project. • Define : – Establish project charter and scope – Determine return, resources, timing – Ensure management commitment • Measure : – Generate process “is” map – Prioritize project Y’s and document process input variables – Access critical Y initial capability and measurement system • Analyze : – Establish input variable (X’s) ranking via Prioritization matrix – Use the statistical tools to identify the root cause. – Gather additional information via passive data collection/analysis • Improve – Do active data collection/analysis (FMEA, etc.) on key inputs • Control – Develop/Implement control plans to maintain gains – Gather long term capability
  4. Define: Clearly define a problem, develop the business case, understand the client’s needs (Voice of the Client), create high level view of the process, and articulate a project plan. Measure: Develop process measures, perform data collection activities, validate the data quality, evaluate current process capability and performance (Voice of the process). Analyze: Analyze the process, explore potential root case theories, verify these theories with data, and explore cause and effect (list critical Xs). Improve: Generate potential solutions, assess the implementation risks, select the optimum solution, pilot and evaluate solution, formalize implementation. Control: Develop and implement process controls, standardize the solutions, quantify and validate the improvement, close the project. • Define : – Establish project charter and scope – Determine return, resources, timing – Ensure management commitment • Measure : – Generate process “is” map – Prioritize project Y’s and document process input variables – Access critical Y initial capability and measurement system • Analyze : – Establish input variable (X’s) ranking via Prioritization matrix – Use the statistical tools to identify the root cause. – Gather additional information via passive data collection/analysis • Improve – Do active data collection/analysis (FMEA, etc.) on key inputs • Control – Develop/Implement control plans to maintain gains – Gather long term capability
  5. Define: Clearly define a problem, develop the business case, understand the client’s needs (Voice of the Client), create high level view of the process, and articulate a project plan. Measure: Develop process measures, perform data collection activities, validate the data quality, evaluate current process capability and performance (Voice of the process). Analyze: Analyze the process, explore potential root case theories, verify these theories with data, and explore cause and effect (list critical Xs). Improve: Generate potential solutions, assess the implementation risks, select the optimum solution, pilot and evaluate solution, formalize implementation. Control: Develop and implement process controls, standardize the solutions, quantify and validate the improvement, close the project. • Define : – Establish project charter and scope – Determine return, resources, timing – Ensure management commitment • Measure : – Generate process “is” map – Prioritize project Y’s and document process input variables – Access critical Y initial capability and measurement system • Analyze : – Establish input variable (X’s) ranking via Prioritization matrix – Use the statistical tools to identify the root cause. – Gather additional information via passive data collection/analysis • Improve – Do active data collection/analysis (FMEA, etc.) on key inputs • Control – Develop/Implement control plans to maintain gains – Gather long term capability