One-factor and multiple-response Minitab optimization

#1
Hi.
I have an application in which I have a dataset (> 100,000) with the following variables: velocity (m/min), production (kg), scrap (kg) and consumption (kWh). I'd like to use Minitab to optimize multiple responses. My independent variable is velocity (X) and the others are response variables. I need to know which velocity delivers: higher production (Y1), lower scrap (Y2) and lower consumption (Y3).

In the table below some data to exemplify the database:
Code:
Velocity Production Scrap Consumption
1760        1934    237    1960
1760        1934    0        1728
1760        1944    0        1739
1760        1932    0        1732
1760        1951    0        1734
1760        1928    287    2024
1760        1967    128    1876
1760        1949    0        1730
1760        1938    0        1727
1761        1938    0        1877
1761        1925    155    1877
1760        1923    0        1751
1760        1900    0        1723
1765        1922    0        1723
1765        1910    219    1963
1765        1954    162    1899
1770        1944    0        1728
1770        1942    0        1727
1770        1931    33      1749
1770        1922    0        1707
1770        1923    0        1698
1770        1906    0        1697
1770        1918    0        1715
1770        1920    0        1709
1769        1920    0        1710
1770        1926    0        1702
...
I checked Minitab's Optimization tool, but what I've seen it depends on 2-factors and in my case I only have one-factor (velocity) and multiple response.
I would like to know how I can do this analysis in Minitab if anyone can help me I appreciate it.

Regards,
A.Berg
 
Elsmar Forum Sponsor
#2
Hi.
I have an application in which I have a dataset (> 100,000) with the following variables: velocity (m/min), production (kg), scrap (kg) and consumption (kWh). I'd like to use Minitab to optimize multiple responses. My independent variable is velocity (X) and the others are response variables. I need to know which velocity delivers: higher production (Y1), lower scrap (Y2) and lower consumption (Y3).

In the table below some data to exemplify the database:
Code:
Velocity Production Scrap Consumption
1760        1934    237    1960
1760        1934    0        1728
1760        1944    0        1739
1760        1932    0        1732
1760        1951    0        1734
1760        1928    287    2024
1760        1967    128    1876
1760        1949    0        1730
1760        1938    0        1727
1761        1938    0        1877
1761        1925    155    1877
1760        1923    0        1751
1760        1900    0        1723
1765        1922    0        1723
1765        1910    219    1963
1765        1954    162    1899
1770        1944    0        1728
1770        1942    0        1727
1770        1931    33      1749
1770        1922    0        1707
1770        1923    0        1698
1770        1906    0        1697
1770        1918    0        1715
1770        1920    0        1709
1769        1920    0        1710
1770        1926    0        1702
...
I checked Minitab's Optimization tool, but what I've seen it depends on 2-factors and in my case I only have one-factor (velocity) and multiple response.
I would like to know how I can do this analysis in Minitab if anyone can help me I appreciate it.

Regards,
A.Berg
Hi,

Did you manage to get help with this? I am looking for a solution to a similar problem.

Thanking you in advance.
Laura
 

Miner

Forum Moderator
Leader
Admin
#3
I did not see the original post, but Minitab can optimize that problem. You have to perform the regression on all three variables simultaneously first.

1655729130674.png 1655729167273.png 1655729195331.png
 
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