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ÇOK AŞAMALI BÜTÜNLEŞİK LOJİSTİK AĞI OPTİMİZASYONU PROBLEMİNİN MELEZ GENETİK ALGORİTMA İLE ÇÖZÜMÜ

Year 2011, Volume: 26 Issue: 4, 0 - , 20.02.2013

Abstract

Artan çevre bilinci, kanunlar ve ekonomik nedenler, son yıllarda tersine lojistik konusuna olan ilgiyi arttırmıştır.Tersine lojistik konusunda en önemli ve ilgi çekici problemlerden birisi, tersine lojistik ağı tasarımıdır. Buçalışmada, genel bütünleşik bir lojistik ağı tasarımı için kapasite kısıtlı, çok aşamalı, çok ürünlü bir karmatamsayılı doğrusal programlama modeli geliştirilmiştir. Problem, ileri ve geri ağda yer alan tesislerin sayı veyerlerinin belirlenmesi ile müşteri taleplerinin minimum maliyetle karşılanacağı dağıtım ağının tasarlanmasıkararlarını içermektedir. Modelin karmaşık yapısından dolayı, sezgisel yöntem ile doğrusal programlamayıbirlikte kullanan genetik algoritma tabanlı melez bir çözüm yöntemi geliştirilmiş ve üretilen farklı boyuttaki testproblemleri için GAMS-CPLEX ve geliştirilen çözüm yönteminden elde edilen sonuçlar karşılaştırılmıştır.

References

  • 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
  • Operational Research, Cilt 103, No 1, 1-17,
  • -
  • Fleischmann M., Beullens, P., Bloemhof-Ruwaard,
  • J.M., van Wassenhove, L.N., “The Impact of
  • Product Recovery on Logistics Network Design”,
  • Production and Operations Management, Cilt
  • , No 2, 156, 2001.
  • Brito, M.P., Dekker, R., “Reverse Logistics-A
  • Framework”, Econometric Institute Report EI
  • -38, Erasmus University Rotterdam, The
  • Netherlands, 1-19, 2002.
  • Zarei, M., Mansour, S., Kahsan, A.H., Karimi, B.,
  • “Designing a Reverse Logistics Network for Endof-
  • Life Vehicles Recovery”, Mathematical
  • Problems in Engineering,
  • doi:10.1155/2010/649028, 2010.
  • Elwany, H., Fors, N., Harraz, N., Galal, N.
  • “Reverse logistics network design: review of
  • models and solution techniques”, Proceedings of
  • the 37th International Conference on
  • Computers and Industrial Engineering,
  • Alexandria, Egypt , October 20-23, 2007.
  • Akcali, E., Cetinkaya, S., Uster, H. “Network
  • design for reverse and closed- loop supply chains:
  • an annotated bibliography of models and solution
  • approaches”, Networks, Cilt 53, 231–248, 2009.
  • Demirel, N.Ö., Gökçen, H. “Logistics Network
  • Design for Recoverable Manufacturing Systems:
  • Literature Survey”, Journal of The Faculty of
  • Engineering and Architecture of Gazi
  • University, Cilt 23, No 4, 903-912, 2008.
  • Chanintrakul, P., Mondragon, A.E.C., Lalwani, C.,
  • Wong, C.Y., “Reverse logistics network design: a
  • state-of-the-art literature review”, International
  • Journal of Business Performance and Supply
  • Chain Modelling, Cilt 1, No 1, 61–81, 2009.
  • Ilgin, M.A., Gupta, S.M. “Environmentally
  • conscious manufacturing and product recovery
  • (ECMPRO): A review of the state of the art”,
  • Journal of Environmental Management, Cilt
  • , 563–591, 2010.
  • Pishvaee, M.S., Farahani, R.Z., Dullaert, W. “A
  • memetic algorithm for bi-objective integrated
  • forward/reverse logistics network design”,
  • Computers & Operations Research, Cilt 37,
  • –1112, 2010.
  • Emel, G.G., Taşkın, Ç. “Genetik algoritmalar ve
  • uygulama alanları”, Uludağ Üniversitesi
  • İktisadi ve İdari Bilimler Fakültesi Dergisi,
  • Cilt XXI, No 1, 129-152, 2002.
  • Kusumastuti, R.D., Piplani, R., Lim, G.H. “An
  • Approach to Design Reverse Logistics Networks
  • for Product Recovery”, International
  • Engineering Management Conference, Cilt 3,
  • -1243, 18-21 Ekim 2004.
  • Ko, H.J., Evans, W. “A genetic algorithm-based
  • heuristic for the dynamic integrated
  • forward/reverse logistics network for 3PLs”,
  • Computers & Operations Research, Cilt 34,
  • -366, 2007.
  • Lee, J.E., Gen, M., Rhee, K.G. “Network model
  • and optimization of reverse logistics by hybrid
  • genetic algorithm”, Computers & Industrial
  • Engineering, Cilt 56, 951-964, 2009.
  • Lee, J.E., Gen, M., Rhee, K.G. “Hybrid Prioritybased
  • Genetic Algorithm for Multi-stage Reverse
  • Logistics Network”, IEMS, Cilt 8, No 1, 14-21,
  • Mart 2009.
  • 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-
  • , 2010.
  • Tang, Q., Xie, F., “A Genetic Algorithm for
  • Reverse Logistics Network Design”, Third
  • International Conference on Natural
  • Computation, Cilt 4, 2007.
  • 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
  • Economics, Cilt 113, 176-192, 2008.
  • Shi, L., Fan, H., Gao, P., Zhang, H. “Network
  • Model and Optimization of Medical Waste
  • Reverse Logistics by Improved Genetic
  • Algorithm”, '09 Proceedings of the 4th
  • International Symposium on Advances in
  • Computation and Intelligence, 40-52, 2009.
  • 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
  • Sciences, Y. Hao vd. (Ed.), Springer-Verlag
  • Berlin Heidelberg, 267-272, 2005.
  • 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,
  • -393, 2011.
  • Yeh, W.C. “A efficient memetic algorithm for
  • multi-stage supply chain network problem”,
  • International Journal of Advanced
  • Manufacturing Technology, Cilt 29, No 7-8,
  • –813, 2006.
  • Keskin, B.B., ve Uster, H. “A scatter search-based
  • heuristic to locate capacitated transshipment
  • points”, Computers & Operations Research,
  • Cilt 34, No 10, 3112–3125. 2007.
  • Altıparmak, F., Gen, M., Lin, L., Karaoğlan, İ. “A
  • steady-state genetic algorithm for multi-product
  • supply chain network design”, Computers &
  • Industrial Engineering, Cilt 56, 521–537, 2009.
  • Gen, M., Altıparmak, F., Lin, L. “A genetic
  • algorithm for two-stage transportation problem
  • using priority-based encoding”, OR Spectrum,
  • Cilt 28, No 3, 337–354, 2006.
  • Öztürk, M., Çok aşamalı tedarik zinciri
  • optimizasyonu probleminin yayılan ağaç
  • tabanlı genetik algoritma ile çözümü, Yüksek
  • lisans tezi, İstanbul Teknik Üniversitesi, Fen
  • Bilimleri Enstitüsü, 2008.
  • Ayan, T.Y. “Sabit maliyetli ulaştırma problemi
  • için bir genetik algoritma”, Gazi Üniversitesi
  • İktisadi ve İdari Bilimler Fakültesi Dergisi,
  • Cilt 10, No 1, 97 – 116, 2008.
  • Keskintürk, T., Küçük, B. “ Karışık modelli
  • montaj hatlarının genetik algoritma kullanılarak
  • dengelenmesi”, Yönetim Dergisi, Cilt 17, No 53
  • , 52-63, 2006.
  • Varlı, A., Çok amaçlı ve çok konumlu
  • aktarmalı taşıma problemlerinin genetik
  • algoritma ile optimizasyonu, Yüksek lisans tezi,
  • Yıldız Teknik Üniversitesi, Fen Bilimleri
  • Enstitüsü, 2007.
Year 2011, Volume: 26 Issue: 4, 0 - , 20.02.2013

Abstract

References

  • 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
  • Operational Research, Cilt 103, No 1, 1-17,
  • -
  • Fleischmann M., Beullens, P., Bloemhof-Ruwaard,
  • J.M., van Wassenhove, L.N., “The Impact of
  • Product Recovery on Logistics Network Design”,
  • Production and Operations Management, Cilt
  • , No 2, 156, 2001.
  • Brito, M.P., Dekker, R., “Reverse Logistics-A
  • Framework”, Econometric Institute Report EI
  • -38, Erasmus University Rotterdam, The
  • Netherlands, 1-19, 2002.
  • Zarei, M., Mansour, S., Kahsan, A.H., Karimi, B.,
  • “Designing a Reverse Logistics Network for Endof-
  • Life Vehicles Recovery”, Mathematical
  • Problems in Engineering,
  • doi:10.1155/2010/649028, 2010.
  • Elwany, H., Fors, N., Harraz, N., Galal, N.
  • “Reverse logistics network design: review of
  • models and solution techniques”, Proceedings of
  • the 37th International Conference on
  • Computers and Industrial Engineering,
  • Alexandria, Egypt , October 20-23, 2007.
  • Akcali, E., Cetinkaya, S., Uster, H. “Network
  • design for reverse and closed- loop supply chains:
  • an annotated bibliography of models and solution
  • approaches”, Networks, Cilt 53, 231–248, 2009.
  • Demirel, N.Ö., Gökçen, H. “Logistics Network
  • Design for Recoverable Manufacturing Systems:
  • Literature Survey”, Journal of The Faculty of
  • Engineering and Architecture of Gazi
  • University, Cilt 23, No 4, 903-912, 2008.
  • Chanintrakul, P., Mondragon, A.E.C., Lalwani, C.,
  • Wong, C.Y., “Reverse logistics network design: a
  • state-of-the-art literature review”, International
  • Journal of Business Performance and Supply
  • Chain Modelling, Cilt 1, No 1, 61–81, 2009.
  • Ilgin, M.A., Gupta, S.M. “Environmentally
  • conscious manufacturing and product recovery
  • (ECMPRO): A review of the state of the art”,
  • Journal of Environmental Management, Cilt
  • , 563–591, 2010.
  • Pishvaee, M.S., Farahani, R.Z., Dullaert, W. “A
  • memetic algorithm for bi-objective integrated
  • forward/reverse logistics network design”,
  • Computers & Operations Research, Cilt 37,
  • –1112, 2010.
  • Emel, G.G., Taşkın, Ç. “Genetik algoritmalar ve
  • uygulama alanları”, Uludağ Üniversitesi
  • İktisadi ve İdari Bilimler Fakültesi Dergisi,
  • Cilt XXI, No 1, 129-152, 2002.
  • Kusumastuti, R.D., Piplani, R., Lim, G.H. “An
  • Approach to Design Reverse Logistics Networks
  • for Product Recovery”, International
  • Engineering Management Conference, Cilt 3,
  • -1243, 18-21 Ekim 2004.
  • Ko, H.J., Evans, W. “A genetic algorithm-based
  • heuristic for the dynamic integrated
  • forward/reverse logistics network for 3PLs”,
  • Computers & Operations Research, Cilt 34,
  • -366, 2007.
  • Lee, J.E., Gen, M., Rhee, K.G. “Network model
  • and optimization of reverse logistics by hybrid
  • genetic algorithm”, Computers & Industrial
  • Engineering, Cilt 56, 951-964, 2009.
  • Lee, J.E., Gen, M., Rhee, K.G. “Hybrid Prioritybased
  • Genetic Algorithm for Multi-stage Reverse
  • Logistics Network”, IEMS, Cilt 8, No 1, 14-21,
  • Mart 2009.
  • 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-
  • , 2010.
  • Tang, Q., Xie, F., “A Genetic Algorithm for
  • Reverse Logistics Network Design”, Third
  • International Conference on Natural
  • Computation, Cilt 4, 2007.
  • 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
  • Economics, Cilt 113, 176-192, 2008.
  • Shi, L., Fan, H., Gao, P., Zhang, H. “Network
  • Model and Optimization of Medical Waste
  • Reverse Logistics by Improved Genetic
  • Algorithm”, '09 Proceedings of the 4th
  • International Symposium on Advances in
  • Computation and Intelligence, 40-52, 2009.
  • 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
  • Sciences, Y. Hao vd. (Ed.), Springer-Verlag
  • Berlin Heidelberg, 267-272, 2005.
  • 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,
  • -393, 2011.
  • Yeh, W.C. “A efficient memetic algorithm for
  • multi-stage supply chain network problem”,
  • International Journal of Advanced
  • Manufacturing Technology, Cilt 29, No 7-8,
  • –813, 2006.
  • Keskin, B.B., ve Uster, H. “A scatter search-based
  • heuristic to locate capacitated transshipment
  • points”, Computers & Operations Research,
  • Cilt 34, No 10, 3112–3125. 2007.
  • Altıparmak, F., Gen, M., Lin, L., Karaoğlan, İ. “A
  • steady-state genetic algorithm for multi-product
  • supply chain network design”, Computers &
  • Industrial Engineering, Cilt 56, 521–537, 2009.
  • Gen, M., Altıparmak, F., Lin, L. “A genetic
  • algorithm for two-stage transportation problem
  • using priority-based encoding”, OR Spectrum,
  • Cilt 28, No 3, 337–354, 2006.
  • Öztürk, M., Çok aşamalı tedarik zinciri
  • optimizasyonu probleminin yayılan ağaç
  • tabanlı genetik algoritma ile çözümü, Yüksek
  • lisans tezi, İstanbul Teknik Üniversitesi, Fen
  • Bilimleri Enstitüsü, 2008.
  • Ayan, T.Y. “Sabit maliyetli ulaştırma problemi
  • için bir genetik algoritma”, Gazi Üniversitesi
  • İktisadi ve İdari Bilimler Fakültesi Dergisi,
  • Cilt 10, No 1, 97 – 116, 2008.
  • Keskintürk, T., Küçük, B. “ Karışık modelli
  • montaj hatlarının genetik algoritma kullanılarak
  • dengelenmesi”, Yönetim Dergisi, Cilt 17, No 53
  • , 52-63, 2006.
  • Varlı, A., Çok amaçlı ve çok konumlu
  • aktarmalı taşıma problemlerinin genetik
  • algoritma ile optimizasyonu, Yüksek lisans tezi,
  • Yıldız Teknik Üniversitesi, Fen Bilimleri
  • Enstitüsü, 2007.
There are 140 citations in total.

Details

Primary Language Turkish
Journal Section Makaleler
Authors

Neslihan Demirel This is me

Hadi Gökçen This is me

M.ali Akçayol This is me

Eray Demirel This is me

Publication Date February 20, 2013
Submission Date February 20, 2013
Published in Issue Year 2011 Volume: 26 Issue: 4

Cite

APA Demirel, N., Gökçen, H., Akçayol, M., Demirel, E. (2013). ÇOK AŞAMALI BÜTÜNLEŞİK LOJİSTİK AĞI OPTİMİZASYONU PROBLEMİNİN MELEZ GENETİK ALGORİTMA İLE ÇÖZÜMÜ. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 26(4).
AMA Demirel N, Gökçen H, Akçayol M, Demirel E. ÇOK AŞAMALI BÜTÜNLEŞİK LOJİSTİK AĞI OPTİMİZASYONU PROBLEMİNİN MELEZ GENETİK ALGORİTMA İLE ÇÖZÜMÜ. GUMMFD. March 2013;26(4).
Chicago Demirel, Neslihan, Hadi Gökçen, M.ali Akçayol, and Eray Demirel. “ÇOK AŞAMALI BÜTÜNLEŞİK LOJİSTİK AĞI OPTİMİZASYONU PROBLEMİNİN MELEZ GENETİK ALGORİTMA İLE ÇÖZÜMÜ”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 26, no. 4 (March 2013).
EndNote Demirel N, Gökçen H, Akçayol M, Demirel E (March 1, 2013) ÇOK AŞAMALI BÜTÜNLEŞİK LOJİSTİK AĞI OPTİMİZASYONU PROBLEMİNİN MELEZ GENETİK ALGORİTMA İLE ÇÖZÜMÜ. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 26 4
IEEE N. Demirel, H. Gökçen, M. Akçayol, and E. Demirel, “ÇOK AŞAMALI BÜTÜNLEŞİK LOJİSTİK AĞI OPTİMİZASYONU PROBLEMİNİN MELEZ GENETİK ALGORİTMA İLE ÇÖZÜMÜ”, GUMMFD, vol. 26, no. 4, 2013.
ISNAD Demirel, Neslihan et al. “ÇOK AŞAMALI BÜTÜNLEŞİK LOJİSTİK AĞI OPTİMİZASYONU PROBLEMİNİN MELEZ GENETİK ALGORİTMA İLE ÇÖZÜMÜ”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 26/4 (March 2013).
JAMA Demirel N, Gökçen H, Akçayol M, Demirel E. ÇOK AŞAMALI BÜTÜNLEŞİK LOJİSTİK AĞI OPTİMİZASYONU PROBLEMİNİN MELEZ GENETİK ALGORİTMA İLE ÇÖZÜMÜ. GUMMFD. 2013;26.
MLA Demirel, Neslihan et al. “ÇOK AŞAMALI BÜTÜNLEŞİK LOJİSTİK AĞI OPTİMİZASYONU PROBLEMİNİN MELEZ GENETİK ALGORİTMA İLE ÇÖZÜMÜ”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, vol. 26, no. 4, 2013.
Vancouver Demirel N, Gökçen H, Akçayol M, Demirel E. ÇOK AŞAMALI BÜTÜNLEŞİK LOJİSTİK AĞI OPTİMİZASYONU PROBLEMİNİN MELEZ GENETİK ALGORİTMA İLE ÇÖZÜMÜ. GUMMFD. 2013;26(4).