Presenting a Fuzzy Multiobjective Mathematical Model of the Reverse Logistics Supply Chain Network in the Automotive Industry to Reduce Time and Energy

Table 19

Output of research scenarios.

Scenarios	Z1	Z2
1–1	80113284	0/982452
1–2	80105136	0/982086
1–3	80098180	0/981913
2–1	80113284	0/982452
2–2	80990713	0/982130
2–3	80913915	0/9819881
3−1	80113284	0/982452
3–2	79394134	0/9821356
3–3	78193421	0/9821267
4−1	80113284	0/982452
4−2	80308463	1/021382
4–3	80602724	1/071815
5−1	80113284	0/982452
5−2	80164922	0/982672
5−3	80193001	0/9829632
6−1	80113284	0/982452
6−2	80146279	0/982681
6−3	80157909	0/982745
7−1	80113284	0/982452
7−2	77437918	0/971239
7−3	74579130	0/959821
8−1	80113284	0/982452
8−2	81713046	0/982434
8−3	82933801	0/982439