Lean Six Sigma Yellow Belt Training Overview
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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.
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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
Notes de l'éditeur
- 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