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Introduction to Six Sigma


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Course Description


 

Six Sigma is a methodology of implementing a highly successful project, or producing a high quality product or service, using techniques and principles that ensure excellence. The Six Sigma methodology incorporates many years of studying best practices in business and its goal is ultimately the creation of a nearly error-free business environment.

The name of the methodology takes its name from a letter in the Greek alphabet, sigma, which is used by mathematicians to measure variability. In business, the principle of variability is used to measure the number of errors in a process. The goal of a Six Sigma implementation is to produce a product or service with fewer than 3.4 problems per million transactions. A transaction may be defined as a product produced or a service performed.

Six Sigma has been so successful because it dispenses with some of the more cumbersome aspects of older business implementation methodologies and, as such, it has risen to become one of the most respected and followed project management systems. Many of the world's most successful companies utilize the principles of Six Sigma because customers in today's business environment expect excellence and companies must be willing to deliver it if they want to survive in today's highly competitive marketplace.

This course will give a complete overview of the Six Sigma process and prepare you for the path of a "Black Belt," or a Six Sigma team member.

Course Requirements

This course will not require you to have previous experience in any particular area but you should have a high school reading level. No books will be required.

Course Topics

 

Lesson 1: History of Six Sigma

Lesson 2 : Implementing Six Sigma

Lesson 3: Becoming a Customer and Market-Driven Enterprise

Lesson 4: Customer Expectations and Needs

Lesson 5: Linking Six Sigma Projects to Strategies

Lesson 6: Attributes of Good Metrics

Lesson 7: Using Resources Wisely

Lesson 8: Project Management Using the DMAIC and DMADV Models

Lesson 9: The Define Phase

Lesson 10: The Measure Phase

Lesson 11: Measurement System Analysis

Lesson 12: Analyzing Data: Value Streams and Dealing with Variations

Lesson 13: Analyzing Data: Designed Experiments

Lesson 14: The Improve Phase

Lesson 15: The Control Phase

Course Materials

All course material will be provided in the lessons and netlinks. There are no required materials to purchase before taking the class.

Grading Policy

Each lesson will include a lesson review quiz along with an assignment. Students will successfully complete this course by mastering all learning outcomes with 70% or higher overall grade.

Learning Outcomes

By successfully completing this course, students will be able to:
  • Describe the history of six sigma.
  • Know implementing six sigma.
  • Describe becoming a customer and a market driven enterprise.
  • Define customer expectations and needs.
  • Determine how to link six sigma projects to strategies.
  • Recognize attributes of good metrics.
  • Describe using resources wisely.
  • Know Project Management Using the DMAIC and DMADV Models.
  • Identify the define phase.
  • Identify the measure phase.
  • Know Measurement System Analysis.
  • Describe analyzing data: value streams and dealing with variations.
  • Describe analyzing data: designed experiments.
  • Identify the improve phase.
  • Identify the control phase, and
  • Demonstrate mastery of lesson content at levels of 70% or higher.
 

Assessment Guide

Assessment Points
An Introduction1
Lesson 1 Assignment5
Lesson 1: History of Six Sigma10
Lesson 2 Assignment5
Lesson 2 : Implementing Six Sigma10
Lesson 3 Assignment5
Lesson 3: Becoming a Customer and Market-Driven Enterprise10
Lesson 4 Assignment5
Lesson 4: Customer Expectations and Needs10
Lesson 5 Assignment5
Lesson 5: Linking Six Sigma Projects to Strategies10
Lesson 6: Attributes of Good Metrics9
Lesson 7: Using Resources Wisely10
Lesson 8: Project Management Using the DMAIC and DMADV Models10
Lesson 9: The Define Phase10
Lesson 10: The Measure Phase10
Lesson 11: Measurement System Analysis10
Lesson 12: Analyzing Data: Value Streams and Dealing with Variations8
Lesson 13: Analyzing Data: Designed Experiments9
Lesson 14: The Improve Phase9
Lesson 15: The Control Phase10
The Final Exam68
Total Points:239

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