Easy project maybe someone could help me

Hi, I need to solve this project but im a lil stuck.
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It should be something like this, but i cant get the gams code perfect.

$title EASY EAT

SETS
i 'orders'/o1,o2,o3,o4,o5,o6,o7,o8/
j 'riders'/r1,r2,r3,r4,r5,r6/;
ALIAS(i,i2);
ALIAS(j,j2);
PARAMETERS
p(i) 'order preparation time [min]'
/o1 7,o2 10,o3 2,o4 15,o5 5,o6 20,o7 5,o8 15/

o(j) 'orders delivered by rider j'
/r1 5,r2 5,r3 7,r4 4,r5 6,r6 8/


SCALARS
L 'distance tax [€-km]'/10/
Zt 'delay tax [€-minute]'/1/
Wt 'waiting tax [€-minute]'/0.3/;
TABLE
 W(j,i) 'minutes of waiting from rider j in order i[min]'
    o1   o2   o3   o4   o5   o6   o7   o8
r1 2.8  4.5    0  9.7    0 11.1    0  8.6
r2   0    4    0  8.7    0 16.1  1.3  9.6
r3 0.5  4.9    0 11.6  0.2 16.5  1.4  9.5
r4   0  2.9    0  9.5    0 14.6    0  7.5
r5 1.3  4.4    0   12  2.9 16.2  0.4  8.7
r6 1.1  7.4    0  9.8    0 13.8  0.3 12.5
;

TABLE
Z(j,i) 'minutes of delay from rider j in order i[min]'
    o1   o2   o3   o4   o5   o6   o7   o8
r1   0    0    8    0  0.3    0  2.9    0
r2 1.9    0    3    0  1.3    0    0    0
r3   0    0  2.5    0    0    0    0    0
r4 1.6    0  4.5    0  0.5    0  0.5    0
r5   0    0  1.6    0    0    0    0    0
r6   0    0  5.8    0  0.2    0    0    0
;

TABLE
d(j,i) 'distance used by rider j-k to pick i up [km]'
    o1  o2   o3   o4   o5   o6   o7   o8
r1 0.7 1.5  4.2    2    3  3.5  2.9    2
r2 4.7   3  2.4  3.2  1.7  0.9    1  2.6
r3 2.7 1.9  1.5  0.8  1.7  0.9    1  2.1
r4 2.8 1.9  1.5  0.9  1.7  0.8  0.9  2.1
r5 2.8 2.8  1.6  1.2  0.7  1.7  2.2  3.2 
r6 2.3   4  3.5  1.9  3.3  2.5  1.6  0.3 ;

TABLE
t(j,i) 'time used by rider j-k to pick i up [min]'
    o1   o2   o3    o4   o5   o6   o7   o8
r1 4.2  5.5   10   5.3    8  8.9  7.9  6.4
r2 8.9    6    5   6.3  7.7  3.9  3.7  5.4
r3 6.5  5.1  4.5   3.4  4.8  3.5  3.6  5.5
r4 8.6  7.1  6.5   5.5  6.9  5.4  5.5  7.5
r5 5.7  5.6  3.6   3    2.1  3.8  4.6  6.3 
r6 5.9  2.6  7.8   5.2  7.5  6.2  4.7  2.5 ;

VARIABLES
X(i,j) 'indicator of choosing j rider for order i'
OFV 'objective function value'
MINO 'minimo'
MAXO 'maximo'
BINARY VARIABLE X;

equations
OF 'objective function'
C11(i) 'constraint 11'
C12(j) 'constraint 12'
C2 'constraint 2'
C31(j) 'constraint 31'
C32(j) 'constraint 32'
C33 'constraint 33'
C4(j,i) 'constraint 4';

OF..OFV=E=sum((i,j),X(i,j)*d(j,i)*L)+sum((i,j),X(i,j)*Z(j,i)*Zt)+sum((i,j),X(i,j)*W(j,i)*Wt);
C11(i)..sum(j,X(i,j))=L=1;
C12(j)..sum(i,X(i,j))=L=1;
C2..sum((i,j),X(i,j))=E=min(card(i),card(j));
C31(j)..MAXO=G=(o(j)+sum(i,X(i,j)));
C32(j)..MINO=L=(o(j)+sum(i,X(i,j))+1);
C33..MAXO=L=2*MINO;
C4(j,i) $(Z(j,i)>10)..
sum((i2,j2)$Z(j2,i2)e=0,X(i,j))=G=(min(card(i),card(j))/2)-((min(card(i),card(j))/2)*(1-X(i,j));
MODEL EASYEAT/all/;

SOLVE MODEL EASYEAT MINIMIZING OFV USING MIP;




HOPE SOMEONE COULD HELP TOMORROW IS THE DEADLINE!