|   | 
    
         
        
      
        
          » Agprice 
                   » Constraint 
              » Curve 
              » Decent 
              » Distrib 
              » Economy 
              » Efficient 
              » Factory 
                Farm 
              » Food 
              » Hydro 
              » Logic 
              » Manpower 
              » Market 
              » Milk 
              » Mining 
              » OandX 
              » Opencast 
              » Refinery 
              » Tariff 
              » TSP 
              » Yield 
          
           |   | 
          
             
              
                | Model Farm  | 
                 | 
               
              
                
  | 
               
              
                |   | 
                MODEL Farm | 
               
              
                |   | 
                SET | 
               
              
                |   | 
                  | 
                 mi = {1 .. 4},  | 
               
              
                |   | 
                  | 
                mi2 = {1 .. 2},  | 
               
              
                |   | 
                  | 
                 mt = {1 .. 5},  | 
               
              
                |   | 
                  | 
                 mt1 = {1 .. 6},  | 
               
              
                |   | 
                  | 
                mj = {1 .. 11},  | 
               
              
                |   | 
                  | 
                mj1 = {1 .. 12},  | 
               
              
                |   | 
                  | 
                 mj2 = {2 .. 11},  | 
               
              
                |   | 
                  | 
                mj3 = {3 .. 12};  | 
               
              
                |   | 
                DATA | 
               
              
                |   | 
                  | 
                ft[mt] = [1,2,3,4,5],  | 
               
              
                |   | 
                  | 
                 grainarea[mi] = [20,30,20,10],  | 
               
              
                |   | 
                  | 
                 grainyld[mi] = [1.1,0.9,0.8,0.65];  | 
               
              
                |   | 
                VARIABLES  | 
               
              
                |   | 
                  | 
                 gr[mi,mt],  | 
               
              
                |   | 
                  | 
                sb[mt],  | 
               
              
                |   | 
                  | 
                 grbuy[mt],  | 
               
              
                |   | 
                  | 
                 grsell[mt],  | 
               
              
                |   | 
                  | 
                sbbuy[mt],  | 
               
              
                |   | 
                  | 
                 sbsell[mt],  | 
               
              
                |   | 
                  | 
                exlab[mt],  | 
               
              
                |   | 
                  | 
                 excap[mt],  | 
               
              
                |   | 
                  | 
                 hfsell[mt1],  | 
               
              
                |   | 
                  | 
                 cows[mj1,mt],  | 
               
              
                |   | 
                  | 
                 newcow[mt],  | 
               
              
                |   | 
                  | 
                 prof[mt];  | 
               
              
                |   | 
                OBJECTIVE | 
               
              
                |   | 
                   | 
                MAXIMIZE totprof = sum {t in mt} (prof[t] - 158.85*excap[t] - (39.71 * ft[t])*excap[t]); | 
               
              
                |   | 
                CONSTRAINTS | 
               
              
                |   | 
                  | 
                accomm{t in mt} : newcow[t] + sum{j in mj} cows[j,t] - sum{k in {1 .. t}} excap[k] <= 130,  | 
               
              
                |   | 
                  | 
                grcons{t in mt} : sum{j in mj2} (0.6*cows[j,t]) - sum{i in mi} gr[i,t] - grbuy[t] + grsell[t] <= 0,  | 
               
              
                |   | 
                  | 
                sbcons{t in mt} : sum{j in mj2} (0.7*cows[j,t]) - sb[t] - sbbuy[t] + sbsell[t] <= 0,  | 
               
              
                |   | 
                  | 
                bounds{i in mi,t in mt} : gr[i,t] <= (grainyld[i]*grainarea[i]),  | 
               
              
                |   | 
                  | 
                acreas{t in mt} : sum{i in mi} ((1/grainyld[i])*gr[i,t]) + (2/3)*sb[t] + (2/3)*newcow[t] + (2/3)*cows[1,t] + sum{j in mj2} cows[j,t] <= 200,  | 
               
              
                |   | 
                  | 
                labour{t in mt} : 0.1*newcow[t] + 0.1*cows[1,t] + sum{j in mj2} 0.42*cows[j,t] + sum{i in mi} (0.04/grainyld[i])*gr[i,t] + (0.14/1.5)*sb[t] - exlab[t] <= 55,  | 
               
              
                |   | 
                  | 
                cta{t in mi} : cows[1,t+1] - 0.95*newcow[t] = 0,  | 
               
              
                |   | 
                  | 
                ctb{t in mi} : cows[2,t+1] - 0.95*cows[1,t] = 0,  | 
               
              
                |   | 
                  | 
                ct{j in mj2,t in mi} : cows[j+1,t+1] - 0.98*cows[j,t] = 0,  | 
               
              
                |   | 
                  | 
                ctc{t in mt} : newcow[t] - sum{j in mj2} 0.55*cows[j,t] + hfsell[t] = 0,  | 
               
              
                |   | 
                  | 
                enda : sum{j in mj2} cows[j,5] <= 175, ! 125,  | 
               
              
                |   | 
                  | 
                prf{t in mt} : sum{j in mj2} 16.5*cows[j,t] + 40*hfsell[t] + 120*cows[12,t] + sum{j in mj2} 370*cows[j,t] + 75*grsell[t] + 58*sbsell[t] - 90*grbuy[t] - 70*sbbuy[t] -120*exlab[t] - 50*newcow[t] - 50*cows[1,t] - sum{j in mj2} 100*cows[j,t] - sum{i in mi} (15/grainyld[i])*gr[i,t] - (20/3)*sb[t] - sum{k in {1 .. t}} 39.71*excap[k] - prof[t] = 4000,  | 
               
              
                |   | 
                  | 
                bounds{j in mi2} : cows[j,1] = 9.5,  | 
               
              
                |   | 
                  | 
                 bounds{j in mj3} : cows[j,1] = 9.8;  | 
               
              
                |   | 
                END MODEL  | 
               
              
                |   | 
                  | 
                solve Farm;   | 
               
              
                |   | 
                  | 
                print solution for Farm >> "Farm.sol";  | 
               
              
                |   | 
                  | 
                quit;  | 
               
             
            
           | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
        
          |   | 
         
       
        
        
        
        
        
        
        
        
        
     | 
      |