Spanish
French
Italian
Brazilian Portuguese
Diploma in Six Sigma - Revised 2017
Learn how to minimize variability and defects in your manufacturing processes with Six Sigma tools and techniques.
Description
This Six Sigma course will first introduce you to important Six Sigma concepts. To begin, you will study the basics of Statistical Process Control and its use in Six Sigma methodologies. You will cover the Control Charts for Attributes and Control Charts for Variables, and will also learn how to use Design of Experiments to understand and optimize process settings. Next, you will study the development of Taguchi Methods and their use in Quality Engineering applications. You will learn why Taguchi Methods reduce variability and maximize robustness.
Next, you will study the benchmarking process, the key elements of the Benchmarking Code of Conduct, and management's benchmarking challenge. Benchmarking is the process of comparing one's business processes and performance metrics to industry bests or best practices from other industries. You will then learn the role of Six Sigma in supply chain management by studying examples of supply chains that use Six Sigma processes. Finally, you will tackle the challenges of integrating Six Sigma processes into supply chain systems.
This Six Sigma training course will be of great interest to all professionals who work in the areas of Six Sigma, Quality Management, and manufacturing who would like to learn more about the techniques and tools used in Six Sigma projects. It will also be of great interest to all learners who would like a career in the area of Six Sigma and quality control. So, check out the course, start learning these powerful business tools, and give your résumé a great boost today.
Modules
Module 1: Introduction to Statistical Process Control
-
Statistical Process Control - Learning Outcomes
-
Statistical Process Control: Part 1
-
Statistical Process Control: Part 2
-
Statistical Process Control: Part 3
-
Statistical Process Control: Part 4
-
Statistical Process Control: Part 5
-
Statistical Process Control: Part 6
-
Statistical Process Control - Lesson Summary
Module 2: Control Charts
-
Control Charts - Learning Outcomes
-
Six Sigma - Control Charts: Part 1
-
Six Sigma - Control Charts: Part 2
-
Six Sigma - Control Charts: Part 3
-
Six Sigma - Control Charts: Part 4
-
Six Sigma - Control Charts: Part 5
-
Six Sigma - Control Charts: Part 6
-
Control Charts - Lesson Summary
Module 3: Design of Experiments
-
Design of Experiments - Learning Outcomes
-
Design of Experiments - Part 1
-
Design of Experiments - Part 2
-
Design of Experiments - Part 3
-
Planning for Design of Experiments - Part 1
-
Planning for Design of Experiments - Part 2
-
Planning for Design of Experiments - Part 3
-
Design of Experiments - Lesson Summary
Module 4: Diploma in Six Sigma - First Assessment
Module 5: Taguchi Methods and Robust Design
-
Taguchi Methods and Robust Design - Learning Outcomes
-
Taguchi Methods - Part 1
-
Taguchi Methods - Part 2
-
Taguchi Methods - Part 3
-
Robust Design - Part 1
-
Robust Design - Part 2
-
Robust Design - Part 3
-
Taguchi Methods and Robust Design - Lesson Summary
Module 6: Six Sigma and Benchmarking
-
Six Sigma and Benchmarking - Learning Outcomes
-
Introduction to Benchmarking - Part 1
-
Introduction to Benchmarking - Part 2
-
Introduction to Benchmarking - Part 3
-
How to Benchmark - Part 1
-
How to Benchmark - Part 2
-
How to Benchmark - Part 3
-
Six Sigma and Benchmarking - Lesson Summary
Module 7: Six Sigma and Supply Chain
-
Six Sigma and Supply Chain - Learning Outcomes
-
Six Sigma and Supply Chains - Part 1
-
Six Sigma and Supply Chains - Part 2
-
Six Sigma and Supply Chains - Part 3
-
Six Sigma and Supply Chain - Lesson Summary
Module 8: Diploma in Six Sigma - Second Assessment
Course assessment
Learning Outcomes
Having completed this course the learner will be able to:
- Describe the basics of Statistical Process Control.
- Describe to use Design of Experiments to understand and optimize process settings.
- Explain and apply the statistical techniques used in Six Sigma. - Outline the steps in planning Design of Experiments.
- Describe the development of Taguchi Methods by Genichi Taguchi.
- Describe typical Quality Engineering applications.
- Define benchmarking and list its benefits.
- List the steps of widely used benchmarking procedures.
- Define what supply chain management is.
- Describe how Six Sigma can be used in supply chain management.
- Describe management's challenge of integrating Six Sigma processes into supply chain systems.
Certification
All Alison courses are free to enrol, study and complete. To successfully complete this Diploma course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Diploma course, you have the option to acquire an official Diploma, which is a great way to share your achievement with the world. Your Alison Diploma is:
Ideal for sharing with potential employers - include it in your CV, professional social media profiles and job applications
An indication of your commitment to continuously learn, upskill and achieve high results
An incentive for you to continue empowering yourself through lifelong learning
Alison offers 3 types of Diplomas for completed Diploma courses:
Digital Diploma - a downloadable Diploma in PDF format, immediately available to you when you complete your purchase
Diploma - a physical version of your officially branded and security-marked Diploma, posted to you with FREE shipping
Framed Diploma - a physical version of your officially branded and security-marked Diploma in a stylish frame, posted to you with FREE shipping
All Diplomas are available to purchase through the Alison Shop. For more information on purchasing Alison Diplomas, please visit our FAQs. If you decide not to purchase your Alison Diploma, you can still demonstrate your achievement by sharing your Learner Record or Learner Achievement Verification, both of which are accessible from your Dashboard. For more details on our Diploma pricing, please visit our Pricing Page.
