What's the most efficient design to screen a large # of factors w/ as few runs as possible at industrial scale and why?
For instance. If the purpose of a screening design is to (largely) test for main effects w/ as minimal runs as possible - and I want to screen 7 factors w/ a minimal # of runs, why isn't it a good idea to simply change ea of those factors 1 time on 7 runs? If that's not the most efficient way, would running a saturated design w/ 8 runs for 7 factors be the most efficient way to test for main effe...