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Six Sigma Tools for Analyze
Coursera
Course
Unknown

Six Sigma Tools for Analyze

Kennesaw State University

This course covers the Measure and parts of the Analyze phase of Six Sigma DMAIC focusing on process analysis, measurement systems, and basic statistics.

Unknown4 weeksEnglish61,739 enrolled

About this Course

This course will cover the Measure phase and portions of the Analyze phase of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. You will learn about lean tools for process analysis, failure mode and effects analysis (FMEA), measurement system analysis (MSA) and gauge repeatability and reproducibility (GR&R), and you will be introduced to basic statistics. This course will outline useful measure and analysis phase tools and will give you an overview of statistics as they are related to the Six Sigma process. The statistics module will provide you with an overview of the concepts and you will be given multiple example problems to see how to apply these concepts. Every module will include readings, discussions, lecture videos, and quizzes to help make sure you understand the material and concepts that are studied. Our applied curriculum is built around the latest handbook The Certified Six Sigma Handbook (2nd edition) and students will develop /learn the fundamentals of Six Sigma. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Handbook (2nd edition). The companion text is not required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ)

What You'll Learn

  • Apply measurement and analysis tools in DMAIC process
  • Understand failure mode and effects analysis (FMEA)
  • Conduct measurement system analysis and ensure quality
  • Learn basic statistics relevant to Six Sigma
  • Analyze data using various measurement techniques

Prerequisites

  • No deep prior experience required
  • Basic computer and internet skills helpful
  • Ability to read course instructions in English and complete short practice activities

Instructors

D

David Cook, PhD

Assistant Professor of Mechanical Engineering Technology

B

Bill Bailey, PhD

Assistant Professor of Industrial Engineering

G

Gregory Wiles, PhD

Interim Chair and Assistant Professor

C

Christina Scherrer, PhD

Professor of Industrial Engineering

Topics

Business Essentials
Business
Math and Logic
Root Cause Analysis
Process Improvement
Process Mapping
Quality Improvement
Lean Six Sigma
Probability & Statistics
Systems Of Measurement

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

أساسيات الأعمال
الأعمال والإدارة
الرياضيات والمنطق
تحليل الأسباب الجذرية
تحسين العمليات
رسم خرائط العمليات
تحسين الجودة
لين ستة سيغما
Probability & Statistics
Systems Of Measurement

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