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)
125
https://doi.org/10.17993/3ctecno.2021.specialissue7.115-133
3C Tecnología. Glosas de innovación aplicadas a la pyme. ISSN: 2254 – 4143 Edición Especial Special Issue Mayo 2021
Source: own elaboration.
In the Step 3.4 with the help of the values from Table 4, S
i
, K
i
+
and K
i
-
values are calculated
by Equations (16), (17), and (18). In Step 3.5, f(K
i
) values are found for utility functions and
scores of alternatives are calculated by Equations (19), (20), and (21). The scores of the
alternative suppliers (A
1
, A
2
, A
3
, A
4
, A
5
, A
6
) are shown in Figure 2. According to the results
of MARCOS method, the best alternative of green supplier is A
2
with the highest score.
Second one is A
3
, and third is A
5
.
Table 6. Normalized weighted matrix “V”.
Source: own elaboration.
Figure 2. The ranking Scores of Alternatives.
Source: own elaboration.
AAI 3,7143 3,1429 2,1429 2,1429 4,5714 4,0000 7,2857 4,0000 3,8571 1,8571 8,1429 6,8571
A
1
3,8571 5,2857 3,0000 4,2857 7,5714 4,7143 3,2857 5,0000 3,8571 6,7143 6,7143 5,0000
A
2
5,0000 5,2857 5,1429 4,0000 6,8571 4,4286 3,0000 5,0000 5,1429 7,0000 3,8571 6,1429
A
3
5,4286 3,2857 5,0000 6,4286 5,0000 6,4286 7,2857 4,8571 8,4286 8,1429 8,1429 6,8571
A
4
6,7143 5,8571 2,1429 6,1429 4,5714 5,4286 4,7143 6,1429 4,1429 1,8571 5,1429 5,2857
A
5
3,7143 3,1429 5,0000 7,5714 7,7143 8,1429 7,0000 4,2857 5,0000 3,8571 3,5714 2,7143
A
6
4,4286 4,1429 3,4286 2,1429 6,5714 4,0000 4,5714 4,0000 4,7143 5,0000 1,5714 4,5714
AI 6,7143 5,8571 5,1429 7,5714 7,7143 8,1429 3,0000 6,1429 8,4286 8,1429 1,5714 2,7143
C
1
C
2
C
3
C
4
C
5
C
6
C
7
C
8
C
9
C
10
C
11
C
12
AAI 0,0633 0,0477 0,0425 0,0330 0,0364 0,0364 0,0349 0,0512 0,0365 0,0177 0,0130 0,0217
A
1
0,0657 0,0803 0,0594 0,0659 0,0603 0,0429 0,0773 0,0640 0,0365 0,0639 0,0158 0,0297
A
2
0,0852 0,0803 0,1019 0,0615 0,0546 0,0403 0,0847 0,0640 0,0487 0,0666 0,0275 0,0242
A
3
0,0925 0,0499 0,0991 0,0989 0,0398 0,0585 0,0349 0,0621 0,0798 0,0774 0,0130 0,0217
A
4
0,1144 0,0890 0,0425 0,0945 0,0364 0,0494 0,0539 0,0786 0,0392 0,0177 0,0206 0,0281
A
5
0,0633 0,0477 0,0991 0,1165 0,0614 0,0741 0,0363 0,0548 0,0473 0,0367 0,0297 0,0547
A
6
0,0754 0,0629 0,0679 0,0330 0,0523 0,0364 0,0556 0,0512 0,0446 0,0476 0,0676 0,0325
AI 0,1144 0,0890 0,1019 0,1165 0,0614 0,0741 0,0847 0,0786 0,0798 0,0774 0,0676 0,0547