BookmarkSubscribeRSS Feed
Santha
Pyrite | Level 9
thank you. i shall use the auto as you recommended.
zamolotov
Calcite | Level 5

Hi Santha,

I've saw your code and could highlight some moment:

var BoxesNeeded {LegitCombo_ISN} >= 0 integer;
var Proportion {LegitCombo_ISN} >= 0 <= 1;
impvar VolumeInsideBox {i in ISN, b in BOX,m in MOL,d in T1,w in T2} = Volume_ISN[i] * Proportion[i,b,m,d,w];
impvar WeightInsideBox {i in ISN, b in BOX,m in MOL,d in T1,w in T2} = Weight_ISN[i] * Proportion[i,b,m,d,w];

In this case, you'll get some errors because you create variables only for certain subset with expression Flag=1.

I would recommend you to fix some values for variable, like that:

var BoxesNeeded {i in ISN, b in BOX,m in MOL,d in T1,w in T2} >= 0 integer;
var Proportion {i in ISN, b in BOX,m in MOL,d in T1,w in T2} >= 0 <= 1;

for {i in ISN, b in BOX,m in MOL,d in T1,w in T2:  Flag[i,b,m,d,w]=1 } do;
        fix BoxesNeeded {i in ISN, b in BOX,m in MOL,d in T1,w in T2}=0;
        fix Proportion {i in ISN, b in BOX,m in MOL,d in T1,w in T2}=0;
end;
In this case you can set constraint correctly. Thats should be look like that:

con CYSSpecific {m in MOL, i in ISN,d in T1: m="CYS"}:
sum {b in BOX, w in T2} VolumeInsideBox[i,b,m,d,w]= Volume_ISN[i]*Is_ISN_MOL[i,m];

Santha
Pyrite | Level 9
Pls ignore this code. I have refined my code. I have not used Flag anymore as I realized there is no need of it. I have my latest code in the latest comment of mine.

Ready to join fellow brilliant minds for the SAS Hackathon?

Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.

Register today!
Multiple Linear Regression in SAS

Learn how to run multiple linear regression models with and without interactions, presented by SAS user Alex Chaplin.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 17 replies
  • 4088 views
  • 2 likes
  • 4 in conversation