Design of Experiments (DOE) involves the design of data-gathering techniques where the experimenter is often interested in the effect of some process or intervention on some objects. It is a key methodology used in Six Sigma processes and has a broad application across many disciplines including engineering, manufacturing and the sciences. The course begins by introducing the concept of an experiment and the types of variables found in experiments. Next, the steps involved in planning DOE are reviewed in detail. Finally, the three major approaches to using DOE in real-world settings are explained in detail. This course will be of great interest to professionals in the areas of engineering, manufacturing, Six Sigma and Quality Management who would like a greater understanding of DOE and its methodologies. Prerequisites: It is recommended that you have studied the courses 'Six Sigma - Introduction To Taguchi Methods And Robust Design – Revised 2018', 'Six Sigma - Understanding Benchmarking Methods – Revised 2018', and 'Fundamentals Of Using Six Sigma In Supply Chains – Revised 2018'.
Having completed this course the learner will be able to:
- Describe to use Design of Experiments to understand and optimize process settings.
- Explain and apply the statistical techniques used in Six Sigma.
- Define what an experiment is.
- Describe the various types of variables.
- Outline the steps in planning Design of Experiments.
- List the advantages of Design of Experiments.
- List and explain the three major approaches to using Design of Experiment.
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