Event Details
160 hours
Instructor-led class training, with opportunities to practice learned skills using prepared data, live demonstrations, and data collected real time in class
Minitab or JMP Statistical Software
This course is designed for process, product, and quality engineers who will lead project teams to achieve quality, yield, and productivity improvements.
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Please contact us if you are interested in private training for this workshop.
160 hours
Instructor-led class training, with opportunities to practice learned skills using prepared data, live demonstrations, and data collected real time in class
Minitab or JMP Statistical Software
The training is organized around the five main phases of the Six Sigma Process Improvement Roadmap: Define, Measure, Analyze, Improve, and Control (DMAIC). Candidates participate in four training sessions, with at least three weeks in between, allowing them to apply the material learned to their project.
For project-based training, project reviews during each training session maintain project focus. In this case, it is the responsibility of the Champion to ensure that their Belt candidates arrive at class with a proper project charter.
Optional: In between training, QSG can provide coaching and guidance to ensure that the methodology and roadmap are used appropriately. This is a separate service provided apart from this 160-hour training program.
This course is designed for process, product, and quality engineers who will lead project teams to achieve quality, yield, and productivity improvements. The Black Belts will normally lead complex production process related problems which may transcend across several processes and/or departments within an organization.
Through training, participants will:
Week/Phase | Project Objective | Topics |
Week 1 (40 hrs) Define/ |
| Introduction to Six Sigma DMAIC/DMADV Roadmaps Project Scoping and Chartering SIPOC/Process Mapping Cause and Effect Matrix Introduction to Minitab or JMP Basic Statistics Basic Quality Tools Central Limit Theorem Introduction to SPC Variables & Attribute Measurement System Analysis (MSA) Capability Study Initial Control Plan Project Review |
Week/Phase | Objectives | Topics |
Week 2 (40 hrs) Analyze |
| Review of Week 1 Introduction to Multi-Vari Study Hypothesis Testing Confidence Intervals One and Two Sample Comparisons
Three or more Sample Comparison
Simple Regression Multiple Linear Regression Chi Square Test Non-Parametric Tests for Medians Sample Size Determination Failure Mode and Effects Analysis Project Review |
Week/Phase | Objectives | Topics |
Week 3 (40 hrs)Analyze/ Improve |
| Review of Week 2 Logistic Regression for Attribute Response Model Building
Introduction to DOE and Attributes of a well-designed experiment General Factorial Designs
2k Designs
Fractional Factorial Screening Designs
Live Experimentation Project Review |
Week/Phase | Objectives | Topics |
Week 4 (40 hrs) Improve/ |
| Review of Week 3 Designs with Center points Introduction to Response Surface Methods
Multiple Response Optimization
Sequential Experimentation DOE Planning Live Experimentation Evolutionary Methods Introduction to Taguchi Methods Intermediate SPC Total Control Methodology Poka-Yoke (Mistake-Proofing) Final Control Plan Closing Projects Project Reviews |
Please visit our Training Page for all Training Events.
Quality Support Group provides world class training in many useful topics. Their trainers, specifically Don and Dave, are very knowledgeable and genuinely there to help you learn and understand. I took their Green Belt training and certification, and highly recommend it. They have excellent training material, software tools, and activities. They are teaching from many years of experience and have so much technical and industry knowledge that makes it easier to relate to, understand, and apply the concepts. From this experience, I will definitely be looking to get more training from them to improve my skills. I highly recommend reaching out to QSG for your training needs and more. My company, Hexagon, has trusted them for years, having them continually train our employees in regulatory standards, problem solving 8D, continuous improvement, etc
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