Hello. I have 5 factors (pH, time, current density, agitation speed of agitation, and the concentration of the effluent) and I am trying to find out which are the most important in my response. What is the plan that I should use for this purpose? I am hesitating using definite screening design, 2^(5-1) Half-Fractional Factorial Design, or Plackett-Burman design? Should I do randomization and/or blocking. I have Minitab. How do I proceed?
This is a broader question to answer in short. Having five factors with full replication and blocking would results in hundreds of experiments, may not be practically feasible. For five variables, I would probably go with just quarter fraction design, and then focus on the important factors only to collect replication with the important ones only. Module 3 discusses when and appropriate to apply blocking. You can find more videos listed by topics here: www.theopeneducator.com/doe.
Hello. I have 4 factors (Fc', thickness, steel fiber %, area of steel) and all factors have 3 level expect steel fiber have 4 levels and I am trying to find out which are the most important in my response. Which is method suitable for this case (MANOVA or DOE) ? I'm using Minitab software
Thanks a lot for your lecture series. In my case also 5 factors like ( catalyst, dye, intensity, pH, solvent) and 2 responss like degradation and decolourisation. How should i write the replication values. At Standard design 20 runs came. How and where should I take the values to fill the response column? Shall I follow the central composite design for 3D ANOVA? I'm using design expert software. Kindly I request you to clarify my doubts.
I'll take a shot at this. DOE is setting up the experiment (choosing the factors and levels to test). You do this BEFORE you run the experiment. AFTER you run the experiment and get results, you can run ANOVA to try to make an inference on the true effect of each term on the response. Hope this helps!
Hello. I have 5 factors (pH, time, current density, agitation speed of agitation, and the concentration of the effluent) and I am trying to find out which are the most important in my response. What is the plan that I should use for this purpose? I am hesitating using definite screening design, 2^(5-1) Half-Fractional Factorial Design, or Plackett-Burman design? Should I do randomization and/or blocking. I have Minitab. How do I proceed?
This is a broader question to answer in short. Having five factors with full replication and blocking would results in hundreds of experiments, may not be practically feasible. For five variables, I would probably go with just quarter fraction design, and then focus on the important factors only to collect replication with the important ones only. Module 3 discusses when and appropriate to apply blocking. You can find more videos listed by topics here: www.theopeneducator.com/doe.
Hello. I have 4 factors (Fc', thickness, steel fiber %, area of steel) and all factors have 3 level expect steel fiber have 4 levels and I am trying to find out which are the most important in my response. Which is method suitable for this case (MANOVA or DOE) ? I'm using Minitab software
Thanks a lot for your lecture series. In my case also 5 factors like ( catalyst, dye, intensity, pH, solvent) and 2 responss like degradation and decolourisation. How should i write the replication values.
At Standard design 20 runs came. How and where should I take the values to fill the response column? Shall I follow the central composite design for 3D ANOVA? I'm using design expert software.
Kindly I request you to clarify my doubts.
Give link of your website
www.theopeneducator.com/
www.theopeneducator.com/doe
What is the main difference between DOE and Anova methods?
I'll take a shot at this. DOE is setting up the experiment (choosing the factors and levels to test). You do this BEFORE you run the experiment. AFTER you run the experiment and get results, you can run ANOVA to try to make an inference on the true effect of each term on the response. Hope this helps!