Abstract
Design of experiments (DOE) is very meaningful and applied in various investigations from science to the industry in order to optimize the process itself. There are several such techniques and each of them has its own advantages, so it is very important to know the basics of DOE. Besides that, every problem, technology, product etc. is unique, so the knowledge about those is crucial as the first step. The most relevant fact is the dependence among variables-input factors and output responses as well as mutual connection between factors. In order to demonstrate the usability and adaptability of DOE for various purposes, some examples are given in this paper.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
