About albiruni81

albiruni81 · ‎05-20-2020

Thanks , this is what i'm looking for 🙂

albiruni81 · ‎05-19-2020

Hi , Does anyone knows how to maximize the desirability based on 4 factors and fixing 1 factor based on our required response. For example Output : Yield, Defectivity Input : Gas flow, temperature, pressure, chemical concentration (all factors are continuous) I run a DOE using all these 4 factors, but if i would like to optimize the output/response based only on the 3 factors (gas flow, temperature,pressure) and maintaining a fix value on chemical concentration, how do i do this, is it possible Rgrds Irfan

albiruni81 · ‎11-05-2019

Hi Mark, This is the experiment that I am currently conducting, the method that normally we use is that we use the defect log rate to find the best settings for the factors, but what I am looking for what is the best SD for each factors (eg in this example my normal SIH4 SD = 12, Press SD = 0.2, Space SD = 12. And we know that the defect rate can even be reduce more when we tighthen the SD for our factors. So what I am looking for is what is the SD that I have to run for all these 3 factors in order to meet the specification limit for all my 4 response (Thickness, Etchrate, Uniformity, RI) I know that we can 'manually' adjust the SD 1 by 1 to see what is the SD to achieve a 0% defect rate, but is there an automated way to do this Hope this explains my question/problem Rgrds Irfan

albiruni81 · ‎11-05-2019

Hi Mark, I was going through the book manual on the profilers and came across this, what I am looking for is that with the current response specification limits what are the factors limit which I should use whereby it will not be to tight and too loose causing to many failures Rgrds Irfan

albiruni81 · ‎11-04-2019

Hi mark, Actually if i want to determine what is the limit of my factors to be in order to ensure that all my response are within the spec limits, is there a way to find this? From the simulator we actually specify the type of variations of the factors be it a normal, binomial or any other distribution

albiruni81 · ‎11-04-2019

Hi, Anyone has any idea how do we find the allowable limits that a few factors can operate in order to maintain a certain defect rates. This video from robert actually shows how to find the best settings in order to achieve lowest defect rate with the assumption of normal distribution in these factors. What I am looking for is how do i determine what is the maximum variation allowable in order to achieve this defect rate. https://www.jmp.com/en_gb/events/ondemand/explorers/explorers-improving-your-processes-with-statistical-models-video/watch.html#formsuccess Using historical production data to identify manufacturing process improvements : Rgrds Irfan

albiruni81 · ‎08-15-2019

Hi Mark, Thanks Rgrds Irfan

albiruni81 · ‎08-09-2019

Hi Peter_Bartell, I was trying to use the Fit Model Platform but I saw that the platform analyzes my 4 response individually, how do i combine all the model together so that I have the model predicting the 4 response together with the 4 factors that I have.

albiruni81 · ‎08-09-2019

Hi From the DSD paper it is said that the number of runs that I have to do is 2M + 1 (Even Factor) and 2M+3 (Odd Factor), but when i use the DSD window in JMP 14 any reason that my 4 factors actually shows that I have to run 17 runs instead of only 9? Rgrds Irfan

albiruni81 · ‎06-11-2018

Hi Mark, Do you have any example on how to use this in the graph profiler? Rgrds Irfan

albiruni81 · ‎06-11-2018

Hi Mark, Yes D, E and F are outcomes that we can measure Irfan

albiruni81 · ‎06-11-2018

Hi Phil, Thanks for the answer, yes I will only get the F value when i perform experiment on D & E. Thanks

albiruni81 · ‎06-07-2018

Anyone any advice on this?

albiruni81 · ‎05-27-2018

Hi, If i have a correlation as shown above whereby the F is a response for D & E but the factor D is actually a response of A & B. How do i construct a DOE experiment. This is what i wanted to ask, is it possible for the DOE table to generate this kind of relationship Rgrds Irfan

albiruni81 · ‎05-21-2018

Hi, Is there a way for me to identify from the DOE table given to me what are the DOE type that the user is actually using whether it is the definitve screening design, full factorial or fractional factorial (which resolution) Rgrds Irfan

albiruni81 · ‎05-21-2018

Hi, If i have a correlation as shown above whereby the F is a response for D & E but the factor D is actually a response of A & B. How do i construct a DOE experiment. This is what i wanted to ask, is it possible for the DOE table to generate this kind of relationship Rgrds Irfan

albiruni81 · ‎05-16-2018

Thanks Peter/Mark

albiruni81 · ‎05-07-2018

Hi Mark, Do you have any example to show how does the PLS shows the correlation between the predictors? As you mentioned in your earlier statement without additional information the knowledge of which response is the actual response, what additional information is required to determine this? Rgrds Irfan

albiruni81 · ‎05-07-2018

Hi, Is there a method for us to determine the correlation between two responses?Lets say I have 5 factors A,B, C, D & E. The response that I have is X,Y, Z. What is the best analysis to show that X & Y are correlated and only X response is actually dependent towards the 5 factors while Y is actually a response of the X. Rgrds Irfan

albiruni81 · ‎04-30-2018

Hi Sebastian, Does it mean that if I have a correlation of -1 for X2*X3 with X1 then it might cancel out the estimated effect of X1? Rgrds Irfan

albiruni81 · ‎04-27-2018

Hi Anyone, Able to explain to me what does the 'Temperature is biased by 0.333 times the true value of the grind*time? Does it mean that the parameter estimates for temperature is 1/3 value of the grind*time estimates? Rgrds Irfan

albiruni81 · ‎04-26-2018

Thanks Dan

albiruni81 · ‎04-25-2018

Hi Anyone, How do we check what is the confounding factors during our initial custom design setup? Rgrds Irfan

albiruni81 · ‎04-23-2018

Hi, I am having problem whereeby using the stepwise regression it actually shows that only 1 factor is significant but running a direct Least Square regression it actually shows multiple factors is significant. Any reason for this to be this way? Rgrds Irfan

albiruni81 · ‎03-30-2018

Hi Jim, When i do this power analysis, any reason that the model comparison is showing that the fractional factorial is superior than the DSD Rgrds Irfan

albiruni81 · ‎03-30-2018

Thanks jim, does it mean that DSD is the way to go as opposed to the classical screening design?

albiruni81 · ‎03-29-2018

Hello Jim, Is this how we analyze the DSD table? R Rgrds Irfan

albiruni81 · ‎03-29-2018

Thanks Jim

albiruni81 · ‎03-29-2018

Hello Cameron, Thank you for you reply When yu are saying that JMP has a dedicated platform for DSD what do you mean by that?Where can i get this option from? Rgrds Irfan

albiruni81 · ‎03-26-2018

Hi All, Anyone can give me a summary of difference between a classical screening design and DSD? What are the advantages and disadvantages between this two methods Rgrds Irfan

Date Registered	‎07-15-2014 09:17 PM
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