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Certified Lean Six Sigma Black Belt Orientation | IASSC BOK |MESRI Webinar | Dr. Shukri Sh.Elnady
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ILOs:
1- Training the trainee on the questions system to ensure success from the first time in an exam of #IASSC And officially get the title of the #black_belt in the application of #Six_Sigma methodology.
2- Empowering the trainees with the professional skills and experience necessary to make them able to lead projects in the fields of services and manufacturing.
3- Create the atmosphere to live in the climate of #projects through the discussion of real projects and real problems so that to be able to deal with the variables and requirements of the real market
Instructor:
• Dr Shukri Sh. Elnady
• IASSC certified lean six sigma black belt
• #MBA
• #CPHQ
• #TQM_AUC
• Hosp. Mang. Diploma
• #Iso 9001 lead auditor
• #OSHA certified
• PMP-prep
• PCT
• #Health_economics diploma
• Healthcare q#uality, #accreditation, #hospital management, #strategy specialist
Course description:
• health care professionals are primarily the main target of this program
• This course is targeting those who are Interested in improving institutional performance and business development
• The Six Sigma course introduces the basic concepts, information and tools of the Lean six Sigma methodology, its applications, and implementation.
• Six Sigma is one of the most robust and effective methodologies for improving business, improving performance, eliminating waste and minimizing defects and errors, whatever the field of work, whether industrial, service or government, can exploit the areas of power to achieve the best effectiveness and efficiency in performance and achieve the best results for improvement Sustainable development.
Contact
Mobile &whatsapp 01002564852
****************************
IASSC Universally Accepted Lean Six Sigma Body of Knowledge for black Belts:
Outlines:
1.0 Define Phase
1.1 The Basics of Six Sigma
1.1.1 Meanings of Six Sigma
1.1.2 General History of Six Sigma & Continuous Improvement
1.1.3 Deliverables of a Lean Six Sigma Project
1.1.4 The Problem Solving Strategy Y = f(x)
1.1.5 Voice of the Customer, Business and Employee
1.1.6 Six Sigma Roles & Responsibilities
1.2 The Fundamentals of Six Sigma
1.2.1 Defining a Process
1.2.2 Critical to Quality Characteristics ( #CTQ’s)
1.2.3 Cost of Poor Quality ( #COPQ)
1.2.4 Pareto Analysis (80:20 rule)
1.2.5 Basic Six Sigma Metrics
a. including #DPU, DPMO, FTY, RTY #Cycle Time, deriving these metrics and these metric
1.3 Selecting Lean Six Sigma Projects
1.3.1 Building a #Business Case & Project #Charter
1.3.2 Developing Project Metrics
1.3.3 #Financial Evaluation & Benefits Capture
1.4 The #Lean Enterprise
1.4.1 Understanding Lean
1.4.2 The History of Lean
1.4.3 Lean & Six Sigma
1.4.4 The Seven Elements of #Waste
a. Overproduction, Correction, Inventory, Motion, Over processing, Conveyance, Waiting.
1.4.5 5S
a. Straighten, Shine, Standardize, Self-Discipline, Sort
2.0 Measure Phase
2.1 Process Definition
2.1.1 Cause & Effect / #Fishbone Diagrams
2.1.2 Process Mapping, #SIPOC, #Value Stream Map
2.1.3 X-Y Diagram
2.1.4 Failure Modes & Effects Analysis ( #FMEA )
2.2 Six Sigma Statistics
2.3 Measurement System Analysis
2.3.1 Precision & Accuracy
2.3.2 Bias, Linearity & Stability
2.3.3 Gage Repeatability & Reproducibility
2.3.4 Variable & Attribute MSA
2.4 Process #Capability
2.4.1 Capability Analysis
2.4.2 Concept of Stability
2.4.3 Attribute & Discrete Capability
2.4.4 Monitoring Techniques
3.0 Analyze Phase
3.1 Patterns of #Variation
3ns
3.2 Inferential Statistics
3.2.3 Central Limit #Theorem
3.3 #Hypothesis Testing
3.3.1 General Concepts & Goals of Hypothesis Testing
a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.
3.5 Hypothesis Testing with Non-Normal Data
3.5.1 Mann-Whitney
3.5.2 Kruskal-Wallis
3.5.3 Mood’s Median
3.5.4 Friedman
3.5.5 1 #Sample Sign
3.5.6 1 Sample Wilcoxon
3.5.7 One and Two Sample Proportion
3.5.8 Chi-Squared (Contingency Tables)
a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.
4.0 Improve Phase
4.1 Simple Linear Regression
4.1.1 Correlation
4.1.2 #Regression Equations
4.1.3 Residuals Analysis
4.2 Multiple Regression Analysis
4.2.1 Non- Linear Regression
4.2.2 Multiple Linear Regression
4.2.3 Confidence & Prediction Intervals
4.2.4 Residuals Analysis
4.2.5 #Data Transformation, Box Cox
5.0 Control Phase
5.1 Lean Controls
5.1.1 Control Methods for #5S
5.1.2 #Kanban
5.1.3 #Poka_Yoke (Mistake Proofing)
5.2 Statistical Process Control ( #SPC )
5.2.1 Data Collection for SPC
5.2.2 I-MR Chart
5.2.3 Xbar-R Chart
5.2.4 U Chart
5.2.5 P Chart
5.2.6 NP Chart
5.2.7 X-S char
5.2.8 CumSum Chart
5.2.9 EWMA Chart
5.2.10 Control Chart Anatomy
5.3 Six Sigma Control Plans
5.3.1 Cost Benefit Analysis
5.3.2 Elements of the Control Plan
5.3.3 Elements of the Response Plan
1- Training the trainee on the questions system to ensure success from the first time in an exam of #IASSC And officially get the title of the #black_belt in the application of #Six_Sigma methodology.
2- Empowering the trainees with the professional skills and experience necessary to make them able to lead projects in the fields of services and manufacturing.
3- Create the atmosphere to live in the climate of #projects through the discussion of real projects and real problems so that to be able to deal with the variables and requirements of the real market
Instructor:
• Dr Shukri Sh. Elnady
• IASSC certified lean six sigma black belt
• #MBA
• #CPHQ
• #TQM_AUC
• Hosp. Mang. Diploma
• #Iso 9001 lead auditor
• #OSHA certified
• PMP-prep
• PCT
• #Health_economics diploma
• Healthcare q#uality, #accreditation, #hospital management, #strategy specialist
Course description:
• health care professionals are primarily the main target of this program
• This course is targeting those who are Interested in improving institutional performance and business development
• The Six Sigma course introduces the basic concepts, information and tools of the Lean six Sigma methodology, its applications, and implementation.
• Six Sigma is one of the most robust and effective methodologies for improving business, improving performance, eliminating waste and minimizing defects and errors, whatever the field of work, whether industrial, service or government, can exploit the areas of power to achieve the best effectiveness and efficiency in performance and achieve the best results for improvement Sustainable development.
Contact
Mobile &whatsapp 01002564852
****************************
IASSC Universally Accepted Lean Six Sigma Body of Knowledge for black Belts:
Outlines:
1.0 Define Phase
1.1 The Basics of Six Sigma
1.1.1 Meanings of Six Sigma
1.1.2 General History of Six Sigma & Continuous Improvement
1.1.3 Deliverables of a Lean Six Sigma Project
1.1.4 The Problem Solving Strategy Y = f(x)
1.1.5 Voice of the Customer, Business and Employee
1.1.6 Six Sigma Roles & Responsibilities
1.2 The Fundamentals of Six Sigma
1.2.1 Defining a Process
1.2.2 Critical to Quality Characteristics ( #CTQ’s)
1.2.3 Cost of Poor Quality ( #COPQ)
1.2.4 Pareto Analysis (80:20 rule)
1.2.5 Basic Six Sigma Metrics
a. including #DPU, DPMO, FTY, RTY #Cycle Time, deriving these metrics and these metric
1.3 Selecting Lean Six Sigma Projects
1.3.1 Building a #Business Case & Project #Charter
1.3.2 Developing Project Metrics
1.3.3 #Financial Evaluation & Benefits Capture
1.4 The #Lean Enterprise
1.4.1 Understanding Lean
1.4.2 The History of Lean
1.4.3 Lean & Six Sigma
1.4.4 The Seven Elements of #Waste
a. Overproduction, Correction, Inventory, Motion, Over processing, Conveyance, Waiting.
1.4.5 5S
a. Straighten, Shine, Standardize, Self-Discipline, Sort
2.0 Measure Phase
2.1 Process Definition
2.1.1 Cause & Effect / #Fishbone Diagrams
2.1.2 Process Mapping, #SIPOC, #Value Stream Map
2.1.3 X-Y Diagram
2.1.4 Failure Modes & Effects Analysis ( #FMEA )
2.2 Six Sigma Statistics
2.3 Measurement System Analysis
2.3.1 Precision & Accuracy
2.3.2 Bias, Linearity & Stability
2.3.3 Gage Repeatability & Reproducibility
2.3.4 Variable & Attribute MSA
2.4 Process #Capability
2.4.1 Capability Analysis
2.4.2 Concept of Stability
2.4.3 Attribute & Discrete Capability
2.4.4 Monitoring Techniques
3.0 Analyze Phase
3.1 Patterns of #Variation
3ns
3.2 Inferential Statistics
3.2.3 Central Limit #Theorem
3.3 #Hypothesis Testing
3.3.1 General Concepts & Goals of Hypothesis Testing
a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.
3.5 Hypothesis Testing with Non-Normal Data
3.5.1 Mann-Whitney
3.5.2 Kruskal-Wallis
3.5.3 Mood’s Median
3.5.4 Friedman
3.5.5 1 #Sample Sign
3.5.6 1 Sample Wilcoxon
3.5.7 One and Two Sample Proportion
3.5.8 Chi-Squared (Contingency Tables)
a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.
4.0 Improve Phase
4.1 Simple Linear Regression
4.1.1 Correlation
4.1.2 #Regression Equations
4.1.3 Residuals Analysis
4.2 Multiple Regression Analysis
4.2.1 Non- Linear Regression
4.2.2 Multiple Linear Regression
4.2.3 Confidence & Prediction Intervals
4.2.4 Residuals Analysis
4.2.5 #Data Transformation, Box Cox
5.0 Control Phase
5.1 Lean Controls
5.1.1 Control Methods for #5S
5.1.2 #Kanban
5.1.3 #Poka_Yoke (Mistake Proofing)
5.2 Statistical Process Control ( #SPC )
5.2.1 Data Collection for SPC
5.2.2 I-MR Chart
5.2.3 Xbar-R Chart
5.2.4 U Chart
5.2.5 P Chart
5.2.6 NP Chart
5.2.7 X-S char
5.2.8 CumSum Chart
5.2.9 EWMA Chart
5.2.10 Control Chart Anatomy
5.3 Six Sigma Control Plans
5.3.1 Cost Benefit Analysis
5.3.2 Elements of the Control Plan
5.3.3 Elements of the Response Plan
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