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Lean Six Sigma Black Belt Blended Learning Program Course Description Blended Learning FLEXIBLE: Class sessions can be 100% online or augmented with live.

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Presentation on theme: "Lean Six Sigma Black Belt Blended Learning Program Course Description Blended Learning FLEXIBLE: Class sessions can be 100% online or augmented with live."— Presentation transcript:

1 Lean Six Sigma Black Belt Blended Learning Program Course Description Blended Learning FLEXIBLE: Class sessions can be 100% online or augmented with live classroom instruction. FAST: Self-paced online learning and up to 50% less class time. EFFECTIVE: Interactive modules and project simulations accelerate and cement learning. ON-THE-JOB SUPPORT: Modules provide a quick- access job aid, as needed, when project challenges arise. At the Black Belt level, certification recognizes understanding and ability to apply Lean Six Sigma knowledge. Certification is earned from TQG Master Champions, Academic Partners, or Distribution Partners. Certification A grade of 80% on e-Learning modules A passing grade of 80% on a final exam Active participation in all class sessions Successful completion of Capstone Project Complete a project and successfully present the project to the Instructor and Master Black Belt. Requirements YOUR LOGO/INSTITUTION NAME HERE Your logo/contact information here Lean Six Sigma (LSS) is a disciplined process improvement approach focused on reducing waste, increasing customer satisfaction, and reducing variability for improved profits…among many other benefits. Black Belts act as both statistical consultants and team leaders for the project. They work with a Champion to select the right project and they are accountable for the results. Their responsibilities include deploying effective control plans to ensure gains are sustained, and communicating results to leverage gains within and among organizations. They also help train other employees. The LSS Black Belt course prepares people to become expert Lean Six Sigma practitioners and equips them to lead complex projects by blending the tools of Lean with the rigorous DMAIC problem-solving methodology and advanced statistical toolset.

2 Standard Course Outline (many blends/combinations are possible) PRE-CLASS Time Class Class Kick-Off Session 1 - Introduction Session 2 – Defining the Project Six Sigma Introduction Introduction to Lean Principles* Introduction to Lean Office and Service* ~4 hrs ~4.3 hrs ~4.4 hrs ~4.3 hrs Organizing and Presenting Data Measurement System Analysis ~3.6 hrs Cause and Effect Diagrams Totals: e-Learning = ~40 hrs Class Time = 20 hrs (*) denotes Healthcare Only version is available YOUR LOGO/INSTITUTION NAME HERE Your logo/contact information here Project Management Introduction Voice of the Customer Managing the Project Kaizen Event* SIPOC Mapping the Process Intro. to the Theory of Constraints Eight Wastes* Current State Value Stream Mapping* Future State Value Stream Mapping* Process-Based Costs What is Statistics? Pareto Analysis Scatter Diagrams Measures of Central Tendency Measures of Dispersion Measurement System Analysis 5S* Introduction to Process Capability Process Capability Assessments Cause and Effect Diagrams Failure Mode and Effects Analysis Visual Management* Error Proofing* Session 3 – Defining the Project Session 4 – Process Analysis Session 5 – Baseline and Root Cause Organizing and Presenting Data 1.5 hrs 2.0 hrs 1.5 hrs 2.0 hrs Session 6 - Making Inferences Session 7 - Statistical Testing Session 8 - Correlation and Regression Session 9 - Designing Experiments Session 10 - Making Improvements Session 11 - Controlling the Process ~4.8 hrs Probability Distributions: Discrete Random Variables Continuous Probability Distributions: Normal Curve Introduction to Inferential Statistics Confidence Interval for the Mean Hypothesis Tests for the Mean 2.0 hrs Comparing Means Inferential Statistics: Self Assessment Hypothesis Testing for Nonparametric Data ANOVA Total Productive Maintenance Workplace Design and Layout* Changeover Reduction Standard Work* Introduction to Design of Experiments Full Factorial Designs Fractional Factorial Designs Making Inferences about Proportions Making Inferences about Variances Simple Linear Regression Multiple Regression Flow and Pull Systems* Selecting the Solution Control Charts Controlling the Process ~4.5 hrs 2.0 hrs ~3.6 hrs 2.0 hrs ~2.3 hrs 2.0 hrs ~2.6 hrs 1.5 hrs ~2 hrs 1 hr Capstone Project 4 days Certification Exam 4 hrs Optional Introduction to Probability Black Belt Test Prep: Modules 1-5 e-LEARNING MODULES ~.5 hrs


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