The course introduces statistical techniques for planning, designing, and analyzing experiments aimed at optimizing processes and products. It emphasizes understanding interactions among multiple factors and efficiently exploring various combinations to improve product performance and development outcomes.
Created by Dr. YASSER MEKKY
EN/AR [Auto]
Join Now| # | Content |
|---|---|
| 1 | • Introduction to DOE and its history |
| 2 | • Types of experiments: Trial and Error, Single Factor, and Factorial Designs |
| 3 | • Full and Fractional Factorial Design methods |
| 4 | • Understanding interactions and main effects |
| 5 | • Principles of experimental design: randomization, replication, blocking |
| 6 | • Practical considerations in experimental planning for product development |
| # | Outcomes |
|---|---|
| • Comprehend the basics and evolution of DOE, including its historical roots. | |
| • Differentiate between trial and error, single factor, and factorial experiment methods. | |
| • Design and implement full and fractional factorial experiments. | |
| • Analyze interaction effects among process variables. | |
| • Apply DOE principles to develop, improve, and troubleshoot products and processes. |
| # | Participants |
|---|---|
| 1 |
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Likely targeted at engineers, product developers, quality professionals, and researchers involved in product design and improvement, though explicit participant details are not specified in the slides.
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601, El Horeya St,7th floor Zizinia, Alexandria, Egypt
(+2) 01099 770 699
dr.yassermekky@charismaqs.com
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