BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
sebgon
SAS Employee

Hi, I have the following optmodel 

 


data arcdata;
input prod $ _tail_ $ _head_ $ _lo_ _capac_ _cost_ _km_ _d_;
datalines;
x 100 200 0 15 2 100 23
x 100 300 0 10 1 60 10
x 100 400 0 40 0 50 10
y 600 700 0 15 2 100 23
y 600 800 0 10 1 60 10
y 600 900 0 40 0 50 10
;


%macro opttabla(TABLA);

PROC SQL;
CREATE TABLE WORK.LISTA AS
SELECT distinct PROD AS PROD
FROM WORK.&TABLA.;
QUIT;

proc sql NOPRINT;
SELECT COUNT(prod) INTO: NUM_PROD FROM WORK.LISTA;
quit;

%do i=1 %to &NUM_PROD;

DATA _NULL_;
SET WORK.LISTA(FIRSTOBS=&i OBS=&i);
CALL SYMPUTX ("PROD", PROD, 'G');
RUN;

proc sql;
create table arcdata_&i. as
select *
FROM WORK.arcdata
WHERE PROD="&PROD";
quit;

 

proc optmodel printlevel=2;
ODS Output PrinTable=expt;
set <str,str> arcdatatemp&i;
num L {arcdatatemp&i};
num U {arcdatatemp&i};
num C {arcdatatemp&i};
num K {arcdatatemp&i};
num D {arcdatatemp&i};

read data arcdata_&i. into arcdatatemp&i=[_tail_ _head_]
L=_lo_ U=_capac_ C=_cost_ K=_km_ D=_d_;


var x {<i,j> in arcdatatemp&i} >= L[i,j] <= U[i,j];
min obj = sum {<i,j> in arcdatatemp&i} C [i,j]* x[i,j];
min obj1 = sum {<i,j> in arcdatatemp&i} C[i,j]* K [i,j];
con sum {<i,j> in arcdatatemp&i} x[i,j] = sum {<i,j> in arcdatatemp&i} D[i,j];
con sum {<i,j> in arcdatatemp&i} x[i,j] <= sum {<i,j> in arcdatatemp&i} U[i,j];

solve with lp / algorithm=ns scale=none logfreq=1;
print x obj obj1;
%end;
%mend;

%opttabla(arcdata);

 

For the prod=y the print generated by default is this:

 

x  700 800 900600
151018
obj obj1
40260

 

I would like to arrange it in an organized table like this

 

prod | _tail_ | _head_1 | head 2 | head 3 | obj | obj1

 

y     | 600     | 700         | 800      | 900      | 40 | 260

 

I saw some ODS output procedures from the documentation but none give something similar to the outcome that I need, is there a way that I could do that?

 

Thank you very much for your help

 

Thank you very much for your help

 

 

1 ACCEPTED SOLUTION

Accepted Solutions
RobPratt
SAS Super FREQ

Assuming each prod can have more than one _tail_, here's one way to get what you want:

set TAILS = setof {<t,h> in arcdatatemp&i} t;
num numHeads {TAILS} init 0;
str head {t in TAILS, 1..numHeads[t]} init '';
for {<t,h> in arcdatatemp&i} do;
   numHeads[t] = numHeads[t] + 1;
   head[t,numHeads[t]] = h;
end;
num maxNumHeads = max {t in TAILS} numHeads[t];
create data mytable from [_tail_]=TAILS prod="&prod" 
   {j in 1..maxNumHeads} <col('_head_'||j)=head[_tail_,j]>
   obj obj1;

Note also that the runOptmodel action in SAS Viya 3.5 (just released on November 19) now supports BY-group processing, which enables you to avoid the explicit loop that calls PROC OPTMODEL.

View solution in original post

3 REPLIES 3
Ksharp
Super User

Better post it at OR forum . @RobPratt  is there .

RobPratt
SAS Super FREQ

Assuming each prod can have more than one _tail_, here's one way to get what you want:

set TAILS = setof {<t,h> in arcdatatemp&i} t;
num numHeads {TAILS} init 0;
str head {t in TAILS, 1..numHeads[t]} init '';
for {<t,h> in arcdatatemp&i} do;
   numHeads[t] = numHeads[t] + 1;
   head[t,numHeads[t]] = h;
end;
num maxNumHeads = max {t in TAILS} numHeads[t];
create data mytable from [_tail_]=TAILS prod="&prod" 
   {j in 1..maxNumHeads} <col('_head_'||j)=head[_tail_,j]>
   obj obj1;

Note also that the runOptmodel action in SAS Viya 3.5 (just released on November 19) now supports BY-group processing, which enables you to avoid the explicit loop that calls PROC OPTMODEL.

sebgon
SAS Employee

Thank you Rob,

 

I also saw there is an easy way like this 

 

create data datasetname from  [_tail_ _head_] variables;  

sas-innovate-2024.png

Available on demand!

Missed SAS Innovate Las Vegas? Watch all the action for free! View the keynotes, general sessions and 22 breakouts on demand.

 

Register now!

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
  • 3 replies
  • 675 views
  • 1 like
  • 3 in conversation