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

Table 10

Taguchi’s test and the output.

Nos.	nPop (A)	Pc (B)	Pm (C)	nIt (D)	Results
					Z1	Z2
1	100	0.7	0.1	100	80227060	98344239
2	100	0.7	0.1	100	80229536	99268691
3	100	0.8	0.2	100	80233727	98722769
4	100	0.8	0.2	150	80234949	98462359
5	100	0.8	0.3	170	80254504	99756076
6	100	0.8	0.3	170	80286119	98318166
7	100	0.9	0.3	200	80325805	98090332
8	100	0.9	0.3	200	80351272	98952117
9	150	0.7	0.2	170	80434591	98084387
10	150	0.7	0.2	170	80438102	99000841
11	150	0.8	0.1	170	80466134	98061798
12	150	0.8	0.1	200	80484707	99128316
13	150	0.8	0.3	100	80539193	99909096
14	150	0.8	0.3	100	80543857	98010037
15	150	0.9	0.3	150	80573897	98068655
16	150	0.9	0.3	150	80589294	99879789
17	160	0.7	0.3	200	80600242	98148621
18	160	0.7	0.3	200	80619278	99434486
19	160	0.8	0.3	170	80629699	98724094
20	160	0.8	0.3	170	80647873	99938537
21	160	0.8	0.1	150	80649432	99524111
22	160	0.8	0.1	150	80661124	98219896
23	160	0.9	0.2	100	80760872	99097960
24	160	0.9	0.2	100	80808109	99720353
25	200	0.7	0.3	150	80869951	99246520
26	200	0.7	0.3	150	80880755	99731871
27	200	0.8	0.3	100	80883344	98391865
28	200	0.8	0.3	100	80885121	98891820
29	200	0.8	0.2	200	80924294	99793848
30	200	0.8	0.2	200	80924898	98631582
31	200	0.9	0.1	170	80948812	99904995
32	200	0.9	0.1	150	80935738	99591277