data; param chi := 3; param K := 1; param M := 30; param N := 14; set ingred := asp asub caff aing; param x : # brand j's amount of k asp asub caff aing := 1 0 0.5000 0 0 2 0.4000 0 0.0320 0 3 0 0.5000 0 0 4 0.3250 0 0 0.1500 5 0.3250 0 0 0 6 0.3240 0 0 0.1000 7 0.4210 0 0.0320 0.0750 8 0.5000 0 0 0.1000 9 0 0.5000 0 0 10 0.2500 0.2500 0.0650 0 11 0 0.5000 0 0 12 0 0.5000 0 0 13 0 0.3250 0 0 14 0.2270 0.1940 0 0.0750 ; param y : # subject i's preference for k asp asub caff aing := 1 0 0.0835 0 0.0331 2 0 0.5430 0.0075 0.0204 3 0 0.4889 0.0055 0 4 0.4790 0.0568 0 0.0725 5 0.3202 0 0.0013 0 6 0 0.1395 0 0 7 0 0.4805 0 0 8 0.0649 0.3759 0.0022 0 9 0 0.3834 0 0 10 0.3431 0.0908 0 0.0695 11 0.0484 0.3229 0.0351 0 12 0.2696 0.0741 0.0005 0.1110 13 0.4348 0.0276 0.0013 0.0605 14 0.2634 0 0.0022 0 15 0.3163 0.0581 0 0 16 0.0859 0.0488 0 0.1355 17 0.3197 0.0320 0.0424 0.0630 18 0.1872 0.7724 0 0.0186 19 0.4398 0.0235 0.0230 0.0765 20 0 0.1960 0 0.0604 21 0.0242 0.5938 0.0016 0.0002 22 0.0016 0.5157 0.0399 0.0079 23 0.2584 0.0761 0.0024 0.0065 24 0 0.5171 0 0 25 0.1094 0.1291 0 0.0934 26 0.0153 0.2855 0 0 27 0.1851 0.0874 0.0322 0.0903 28 0.1289 0.2620 0.1226 0 29 0.0472 0.2513 0.0059 0 30 0.2752 0.0199 0.0003 0.0224 ; param v := # subject i's importance weight for all k 1 15.13539 2 4.62777 3 2.21225 4 0 5 0 6 10.58941 7 5.01780 8 3.51912 9 9.10098 10 0 11 10.53417 12 0 13 0 14 0 15 0 16 7.46487 17 0.64571 18 4.86540 19 0.53507 20 5.31825 21 6.86056 22 5.69439 23 0 24 5.98602 25 14.47467 26 13.55480 27 13.01291 28 22.73170 29 5.13727 30 0.07553 ; param b := # constant term in DU eqn 1 -4.42859 2 -2.04758 3 -1.82057 4 -3.22572 5 -2.13139 6 -2.75795 7 -1.97219 8 -2.79767 9 -3.17282 10 -2.22797 11 -5.16751 12 -4.40669 13 -3.08085 14 -3.46886 15 -2.66754 16 -4.11384 17 -1.83466 18 -3.56241 19 -2.31347 20 -2.28169 21 -4.38702 22 -1.85474 23 -2.75502 24 -2.61935 25 -2.65956 26 -2.95081 27 -2.50123 28 -3.65221 29 -2.87451 30 -2.78712 ; param c := # average cost of production */ 1 0.4000 2 0.1328 3 0.4000 4 0.1275 5 0.0975 6 0.1172 7 0.1541 8 0.1700 9 0.4000 10 0.3010 11 0.4000 12 0.4000 13 0.2600 14 0.2383 ; param w0 := # subject i's importance weight for price 1 3.86546 2 1 3 1 4 4.07059 5 2.95369 6 1.52444 7 1 8 3.03524 9 3.06484 10 2.60511 11 7.67621 12 7.52461 13 5.39522 14 5.77346 15 3.28809 16 4.94403 17 2.07788 18 1 19 3.91686 20 1.98819 21 5.20269 22 1 23 4.75390 24 2.34962 25 1 26 1 27 1 28 1.96784 29 3.41328 30 5.10606 ; param : p_lo p_up := 8 .199 .199 ;