**************************************************** * RARDIN, OPTIMIZATION IN O.R., P.131-134 * * BLENDING MODEL * * EXAMPLE 4.2 - SWEDISH STEEL ALLOCATION MODEL * * DSN = R135.SAS * ****************************************************; DATA NEW; INPUT _TYPE_ $ _ROW_ $ _COL_ $ _COEF_; CARDS; MIN COST . . . COST X1 16.0 . COST X2 10.0 . COST X3 8.0 . COST X4 9.0 . COST X5 48.0 . COST X6 60.0 . COST X7 53.0 EQ WEIGHT X1 1.0 . WEIGHT X2 1.0 . WEIGHT X3 1.0 . WEIGHT X4 1.0 . WEIGHT X5 1.0 . WEIGHT X6 1.0 . WEIGHT X7 1.0 . WEIGHT _RHS_ 1000.0 GE CAR-LW X1 0.0080 . CAR-LW X2 0.0070 . CAR-LW X3 0.0085 . CAR-LW X4 0.0040 . CAR-LW _RHS_ 6.5 LE CAR-UP X1 0.0080 . CAR-UP X2 0.0070 . CAR-UP X3 0.0085 . CAR-UP X4 0.0040 . CAR-UP _RHS_ 7.5 GE NIC-LW X1 0.1800 . NIC-LW X2 0.0320 . NIC-LW X5 1.0000 . NIC-LW _RHS_ 30.0 LE NIC-UP X1 0.1800 . NIC-UP X2 0.0320 . NIC-UP X5 1.0000 . NIC-UP _RHS_ 35.0 GE CHR-LW X1 0.1200 . CHR-LW X2 0.0110 . CHR-LW X6 1.0000 . CHR-LW _RHS_ 10.0 LE CHR-UP X1 0.1200 . CHR-UP X2 0.0110 . CHR-UP X6 1.0000 . CHR-UP _RHS_ 12.0 GE MOL-LW X2 0.0010 . MOL-LW X7 1.0000 . MOL-LW _RHS_ 11.0 LE MOL-UP X2 0.0010 . MOL-UP X7 1.0000 . MOL-UP _RHS_ 13.0 LE X1-AVL X1 1.0 . X1-AVL _RHS_ 75.0 LE X2-AVL X2 1.0 . X2-AVL _RHS_ 250.0 ; PROC LP SPARSEDATA ; TITLE 'SWEDISH STEEL BLENDING PROBLEM'; RUN;