1. Fleischmann, M., Bloemhof-Ruwaard, J.M.,
Dekker, R., van der Laan, E., van Nunen,
J.A.E.E. And van Wassenhove, L.N.,
“Quantitative models for reverse logistics: a
review (Invited Review)”, European Journal of
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2. Fleischmann M., Beullens, P., Bloemhof-Ruwaard,
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Product Recovery on Logistics Network Design”,
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10, No 2, 156, 2001.
Tablo 2. Test problemleri (Test problems)
Tip Boyut i k l n m p
I 1-1-5-3-25-1 1 1 5 3 25 1
II 1-1-15-10-60-1 1 1 15 10 60 1
III 3-1-5-3-10-1 3 1 5 3 10 1
IV 2-1-3-2-15-1 2 1 3 2 15 1
V 2-1-8-8-25-1 2 1 8 8 25 1
VI 3-1-15-15-50-2 3 1 15 15 50 2
i: ürün sayısı, k: üretim tesisi sayısı, l: aday dağıtım merkezi sayısı, n: aday toplama merkezi sayısı, m: müşteri sayısı, p: geri kazanım
tesisi sayısı
Tablo 3. Geliştirilen çözüm yöntemi ve GAMS sonuçları (Proposed solution method and GAMS results)
Toplam Maliyet CPU (sn)
Tip Popülasyon
Sayısı
İterasyon
Sayısı GAMS
ALT SINIR GA
Hata (%)
GAMS GA
I 10 25 2304044,82 0,19 6,38
I 50 200 2299679,97 0 47,17
I 100 500
2299679,97
2299679,97 0
0,11
112,63
II 10 25 5530162,04 0,35 7,20
II 50 200 5516717,27 0,11 49,99
II 100 500
5510697,08
5512636,02 0,04
1431,28
121,49
III 10 25 2646960,43 0,27 6,54
III 50 200 2640875,35 0,04 50,86
III 100 500
2639931,03
2639931,03 0
6037,83
123,84
IV 10 25 2458229,6 0,06 6,46
IV 50 200 2456829,00 0 47,71
IV 100 500
2456829,00
2456829,00 0
10565,45
121,65
V 10 25 4807957,74 0,47 6,92
V 50 200 4797067,72 0,24 54,41
V 100 500
4785416,46
4795583,70 0,21
>36000,00
136,15
VI 10 25 12236690,14 0,29 11,19
VI 50 200 12225371,85 0,20 79,80
VI 100 500
12201000,17
12223600,23 0,19
>36000,00
185,03
N. Demirel ve Ark. Çok Aşamalı Bütünleşik Lojistik Ağı Optimizasyonu…
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Netherlands, 1-19, 2002.
4. Zarei, M., Mansour, S., Kahsan, A.H., Karimi, B.,
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5. Elwany, H., Fors, N., Harraz, N., Galal, N.
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models and solution techniques”, Proceedings of
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7. Demirel, N.Ö., Gökçen, H. “Logistics Network
Design for Recoverable Manufacturing Systems:
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8. Chanintrakul, P., Mondragon, A.E.C., Lalwani, C.,
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Chain Modelling, Cilt 1, No 1, 61–81, 2009.
9. Ilgin, M.A., Gupta, S.M. “Environmentally
conscious manufacturing and product recovery
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Journal of Environmental Management, Cilt
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10. Pishvaee, M.S., Farahani, R.Z., Dullaert, W. “A
memetic algorithm for bi-objective integrated
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11. Emel, G.G., Taşkın, Ç. “Genetik algoritmalar ve
uygulama alanları”, Uludağ Üniversitesi
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Cilt XXI, No 1, 129-152, 2002.
12. Kusumastuti, R.D., Piplani, R., Lim, G.H. “An
Approach to Design Reverse Logistics Networks
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13. Ko, H.J., Evans, W. “A genetic algorithm-based
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forward/reverse logistics network for 3PLs”,
Computers & Operations Research, Cilt 34,
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14. Lee, J.E., Gen, M., Rhee, K.G. “Network model
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genetic algorithm”, Computers & Industrial
Engineering, Cilt 56, 951-964, 2009.
15. Lee, J.E., Gen, M., Rhee, K.G. “Hybrid Prioritybased
Genetic Algorithm for Multi-stage Reverse
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16. Kannan, G., Sasikumar, P., Devika, K. “A genetic
algorithm approach for solving a closed loop
supply chain model: A case of battery recycling”,
Applied Mathematical Modelling, Cilt 34, 655-
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17. Tang, Q., Xie, F., “A Genetic Algorithm for
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Computation, Cilt 4, 2007.
18. Min, H., Ko, H.J. “The dynamic design of a
reverse logistics network from the perspective of
third-party logistics service providers”,
International Journal of Production
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19. Shi, L., Fan, H., Gao, P., Zhang, H. “Network
Model and Optimization of Medical Waste
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Algorithm”, '09 Proceedings of the 4th
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20. Zhou, G., Cao, Z., Cao, J., Meng, Z. “A Genetic
Algorithm Approach on Reverse Logistics
Optimization for Product Return Distribution
Network”, Lecture Notes in Computer
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21. Bouabda, R., Jarboui, B., Eddaly, M., Rebai, A.
“A branch and bound enhanced genetic algorithm
for scheduling a flowline manufacturing cell with
sequence dependent family setup times”,
Computers & Operations Research, Cilt 38,
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22. Yeh, W.C. “A efficient memetic algorithm for
multi-stage supply chain network problem”,
International Journal of Advanced
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25. Gen, M., Altıparmak, F., Lin, L. “A genetic
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