The document provides an overview of a Lean Six Sigma Yellow Belt training that will take place over 2 days from 10am to 2:30pm. The training will cover the Define, Measure, Analyze, Improve, and Control (DMAIC) phases of the Lean Six Sigma methodology. On day 1, participants will learn about Lean manufacturing concepts, Lean Six Sigma, and the Define phase. On day 2, participants will learn about the Measure, Analyze, and Improve phases. The training aims to teach participants how to identify and solve problems using the Lean Six Sigma approach of removing defects through streamlining processes and reducing variation.
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
14. SIX SIGMA METHODOLOGY - DMAIC
CYCLE
Define
Measure
Analyze
Improve
Control
Sustainability
Control the
variables and
guarantee the
benefit
Editor's Notes
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
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
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
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
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