ÐÏࡱá>þÿ  þÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ!Each combination of RM and FG has an amount used, to be determined; RF( RM, FG): X; ENDSETS DATA: A=1000, 4000, 5000;!Raw matl availabilities; C = 7.3, 18.2, 12.5; ! R. M. costs; Q = 120, 60, 105, !Quality parameters...; 100, 2.6, 3, ! R. M. by quality; 74, 4.1, 12; D = 4000, 2000; ! Min needed of each F.G.; E = 8000, 6000; !Max sellable of each F.G; P = 18.4, 22; !Selling price of each F.G.; U = 110, 110, ! Upper limits on quality; 11, 11, ! Quality by F.G.; 25, 25; L = 89, 94, !Lower limits on quality...; 8, 8, ! Quality by F.G.; 17, 17; ENDDATA !------------------------------------------; ! The model; ! For each raw material, the availabilities; @FOR( RM( I): [RMLIM] @SUM( FG( K): X( I, K)) < A( I); ); @FOR( FG( K): !For each finished good, compute batch size; [BDEF] B( K) = @SUM( RM( I): X( I, K)); ! Batch size limits; [BLO] B( K) > D( K); [BHI] B( K) < E( K); ! Quality restrictions for each quality; @FOR( QM( J): [QUP]@SUM( RM(I): Q(I, J) * X(I, K)) + S( J, K) = U( J, K) * B( K); [QDN] S(J, K) < (U(J, K) - L(J, K)) * B(K); ); ); !We want to maximize profit contribution; [PROFIT] MAX = @SUM( FG: P * B) - @SUM( RM( I): C( I) * @SUM( FG( K): X( I, K))); END MODEL: ! General Blending Model(BLEND) in LINGO; SETS: !Each raw matl has availability&cost/unit; RM/ BUT, CAT, NAP/: A, C; ! Each f. g. has min & max sellable, profit contr./unit and batch size to be determined; FG/ REG, PRM/: D, E, P, B; ! There are a set of quality measures; QM/ OCT, VAP, VOL/; !Each RM & QM combo has a quality level; RQ( RM, QM): Q; !For each combo QM, FG there are upper & lower lims on quality, slack on quality to be determined; QF( QM, FG): U, L, S; þÿÿÿýÿÿÿþÿÿÿþÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿRoot EntryÿÿÿÿÿÿÿÿnCONTENTSÿÿÿÿÿÿÿÿÿÿÿÿnÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ þÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿRoot Entryÿÿÿÿÿÿÿÿ*0_šîÏ»òÀð^ð¼]ofþÄ Contentsÿÿÿÿÿÿÿÿÿÿÿÿâ ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿþÿÿÿýÿÿÿþÿÿÿ þÿÿÿ  ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ  !"#$%&'()*+þÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ3 !For each finished good, compute batch size;\cf2 \par [BDEF] B( K) = \cf1 @SUM\cf2 ( RM( I): X( I, K)); \par \cf3 ! Batch size limits;\cf2 \par [BLO] B( K) > D( K); \par [BHI] B( K) < E( K); \par \cf3 ! Quality restrictions for each quality;\cf2 \par \cf1 @FOR\cf2 ( QM( J): \par [QUP]\cf1 @SUM\cf2 ( RM(I): Q(I, J) * X(I, K)) + S( J, \par K) = U( J, K) * B( K); \par [QDN] S(J, K) < (U(J, K) - L(J, K)) * B(K); \par ); ); \par \cf3 !We want to maximize profit contribution;\cf2 \par [PROFIT] \cf1 MAX\cf2 = \cf1 @SUM\cf2 ( FG: P * B) \par - \cf1 @SUM\cf2 ( RM( I): C( I) * \cf1 @SUM\cf2 ( FG( K): X( I, K))); \par \cf1 END\cf2 \par \par } ì‹{\rtf1\ansi\ansicpg1252\deff0\deflang1033{\fonttbl{\f0\fnil\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue255;\red0\green0\blue0;\red0\green175\blue0;} \viewkind4\uc1\pard\cf1\f0\fs20 MODEL\cf2 : \par \cf3 ! General Blending Model(BLEND) in LINGO;\cf2 \par \cf1 SETS\cf2 : \par \cf3 !Each raw matl has availability&cost/unit;\cf2 \par RM/ BUT, CAT, NAP/: A, C; \par \cf3 ! Each f. g. has min & max sellable, profit contr./unit and batch size to be determined;\cf2 \par FG/ REG, PRM/: D, E, P, B; \par \cf3 ! There are a set of quality measures;\cf2 \par QM/ OCT, VAP, VOL/; \par \cf3 !Each RM & QM combo has a quality level;\cf2 \par RQ( RM, QM): Q; \par \cf3 !For each combo QM, FG there are upper & lower lims on quality, slack on quality to be determined;\cf2 \par QF( QM, FG): U, L, S; \par \cf3 !Each combination of RM and FG has an amount used, to be determined;\cf2 \par RF( RM, FG): X; \par \cf1 ENDSETS\cf2 \par \cf1 DATA\cf2 : \par A=1000, 4000, 5000;\cf3 !Raw matl availabilities;\cf2 \par C = 7.3, 18.2, 12.5; \cf3 ! R. M. costs;\cf2 \par Q = 120, 60, 105, \cf3 !Quality parameters...;\cf2 \par 100, 2.6, 3, \cf3 ! R. M. by quality;\cf2 \par 74, 4.1, 12; \par D = 4000, 2000; \cf3 ! Min needed of each F.G.;\cf2 \par E = 8000, 6000; \cf3 !Max sellable of each F.G;\cf2 \par P = 18.4, 22; \cf3 !Selling price of each F.G.;\cf2 \par U = 110, 110, \cf3 ! Upper limits on quality;\cf2 \par 11, 11, \cf3 ! Quality by F.G.;\cf2 \par 25, 25; \par L = 89, 94, \cf3 !Lower limits on quality...;\cf2 \par 8, 8, \cf3 ! Quality by F.G.;\cf2 \par 17, 17; \par \cf1 ENDDATA\cf2 \par \cf3 !------------------------------------------;\cf2 \par \cf3 ! The model;\cf2 \par \cf3 ! For each raw material, the availabilities;\cf2 \par \cf1 @FOR\cf2 ( RM( I): \par [RMLIM] \cf1 @SUM\cf2 ( FG( K): X( I, K)) < A( I); \par ); \par \cf1 @FOR\cf2 ( FG( K): \par \cf