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KARADENİZ BÖLGESİ İÇİN TERSİNE LOJİSTİK

Yıl 2021, Cilt: 11 Sayı: 21, 7 - 24, 30.06.2021

Öz

Lojistik endüstrisi, artan maliyetlerin düşürülmesi, taşıma faaliyetlerinin planlanması gibi problemlerin yanında son dönemde pandemi nedeniyle yaşanan yoğunluktan kaynaklanan zorluklarla da mücadele etmek durumundadır. Firmaların, tersine lojistik faaliyet boyutunda da sorumlulukları bulunmaktadır. Çevresel sorumluluk bağlamında, tersine lojistik sürecine dahil edilmek üzere, geri dönüştürülebilir ürünlerin belirli merkezlerde toplanabilmesi için toplama noktalarının belirlenmesi son derece önemlidir. Bu çalışmada, Karadeniz bölgesinde yer alan 19 şehir için geri dönüştürülebilir ürünlere ait toplama noktalarının belirlenmesi amaçlanmıştır. Karadeniz bölgesinin coğrafi koşulları nedeniyle doğu, orta ve batı Karadeniz olmak üzere 3 bölge dikkate alınarak analiz gerçekleştirilmiştir. Geri dönüşüm toplama noktalarının belirlenmesinde, sürekli optimizasyon problemleri için geliştirilmiş sezgisel tekniklerden biri olan tavlama benzetimi yöntemi kullanılmış ve Karadeniz bölgesi için 3 adet tersine lojistik geri dönüşüm toplama noktası önerilmiştir.

Kaynakça

  • Aarts, E., Aarts, E. H., & Lenstra, J. K. (Eds.). (2003). Local search in combinatorial optimization. Princeton University Press.
  • Akçalı, E., Çetinkaya, S., & Üster, H. (2009). Network design for reverse and closed‐loop supply chains: An annotated bibliography of models and solution approaches. Networks, 53(3), 231-248.
  • Alumur, S. A., Nickel, S., Saldanha-da-Gama, F., & Verter, V. (2012). Multi-period reverse logistics network design. European Journal of Operational Research, 220(1), 67-78.
  • Aras, N., Aksen, D. (2008a). Locating collection centers for distance and incentive dependent returns. International Journal of Production Economics. 111(2), 316-333.
  • Aras, N., Aksen, D., Tanuğur, A.G. (2008b). Locating collection centers for incentive-dependent returns under a pick-up policy with capacitated vehicles.European Journal of Operational Research, 191(3), 1223–1240.
  • Aksen, D., Aras, N., Karaaslan, G. (2009). Design and analysis of government subsidized collection systems. International Journal of Production Economics, 119(2), 308-327.
  • Aydın, S. (2016). Lojistik Merkez Değerlendirmesi İçin Karar Verme Modeli ve Uygulama, 5. Ulusal Lojistik ve Tedarik Zinciri Kongresi, 2016.
  • Barros, A.I., Dekker, R., Scholten, V. (1998). A two-level network for recycling sand: A case study. European Journal of Operational Research, 110(2), 199–214.
  • Beamon, B. M., & Fernandes, C. (2004). Supply-chain network configuration for product recovery. Production Planning & Control, 15(3), 270-281.
  • Blum, C., & Roli, A. (2003). Metaheuristics in combinatorial optimization: Overview and conceptual comparison. ACM computing surveys (CSUR), 35(3), 268-308.
  • Cruz-Rivera, R., & Ertel, J. (2009). Reverse logistics network design for the collection of end-of-life vehicles in Mexico. European journal of operational research, 196(3), 930-939.
  • Demirel, N. Ö., & Gökçen, H. (2008). A mixed integer programming model for remanufacturing in reverse logistics environment. The International Journal of Advanced Manufacturing Technology, 39(11-12), 1197-1206.
  • Elgün, M. N. (2011). Ulusal ve Uluslararası Taşıma ve Ticarette Lojistik Köylerin Yapılanma Esasları ve Uygun Kuruluş Yeri Seçimi. Journal of Economics & Administrative Sciences/Afyon Kocatepe Üniversitesi Iktisadi ve Idari Bilimler Fakültesi Dergisi, 13(2).
  • Fleischmann, M., Beullens, P., BLOEMHOF‐RUWAARD, J. M., & Van Wassenhove, L. N. (2001). The impact of product recovery on logistics network design. Production and operations management, 10(2), 156-173.
  • Figueiredo, J.N., Mayerle, S.F. (2008). Designing minimum-cost recycling collection networks with required throughput. Transportation Research, 44(5), 731-752.
  • Gomes, M. I., Barbosa-Povoa, A. P., & Novais, A. Q. (2011). Modelling a recovery network for WEEE: A case study in Portugal. Waste management, 31(7), 1645-1660.
  • Görgülü, H., Paksoy, T., Çalık, A., (2020). Kapalı Döngü Tedarik Zincirinde Yeşil Lojistik ve Yer Seçimi için Bir Karma Tamsayılı Programlama Modeli Önerisi. Verimlilik Dergisi. T. C. Sanayi ve Teknoloji Bakanlığı Yayını.
  • Ingber, L., Petraglia, A., Petraglia, M. R., & Machado, M. A. S. (2012). Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing (Vol. 35). Springer Science & Business Media.
  • Jayaraman, V., Guide Jr., V.D.R., Srivastava, R. (1999). A closed-loop logistics model for remanufacturing. Journal of the Operational Research Society, 50(5), 497–508.
  • Jayaraman, V., Patterson, R.A., Rolland, E. (2003). The design of reverse distribution networks: Models and solution procedures. European Journal of Operational Research, 150(1), 128–149.
  • Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing. science, 220(4598), 671-680.
  • Kirkpatrick, S. (1984). Optimization by simulated annealing: Quantitative studies. Journal of statistical physics, 34(5-6), 975-986.
  • Krikke, H., Bloemhof-Ruwaard, J., & Van Wassenhove, L. N. (2003). Concurrent product and closed-loop supply chain design with an application to refrigerators. International journal of production research, 41(16), 3689-3719.
  • Lee, D. H., & Dong, M. (2008). A heuristic approach to logistics network design for end-of-lease computer products recovery. Transportation Research Part E: Logistics and Transportation Review, 44(3), 455-474.
  • Listeş, O., & Dekker, R. (2005). A stochastic approach to a case study for product recovery network design. European Journal of Operational Research, 160(1), 268-287.
  • Metropolis Nicholas, Rosenbluth Arianna, Teller Edward, Equation of State Calculations by Fast Computing Machines, sy. 1087-1092, 1953.
  • Pati, R.K., Vrat, P., Kumar, P. (2008). A goal programming model for paper recycling system. Omega, 36(3), 405–417. Queiruga, D., Walther, G., Gonzalez-Benito, J., & Spengler, T. (2008). Evaluation of sites for the location of WEEE recycling plants in Spain. Waste management, 28(1), 181-190.
  • Salema, M. I. G., Barbosa-Povoa, A. P., & Novais, A. Q. (2010). Simultaneous design and planning of supply chains with reverse flows: A generic modelling framework. European journal of operational research, 203(2), 336-349.
  • Schultmann, F., Engels, B., Rentz, O. (2003). Closed-loop supply chains for spent batteries. Interfaces, 33(6), 57–71.
  • Thierry, M., Salomon, M., Van Nunen, J., & Van Wassenhove, L. (1995). Strategic issues in product recovery management. California management review, 37(2), 114-136.
  • Yılmaz, B., Dağdeviren, M., & Akçayol, M. A. (2011). Hızlı Tüketim Malları Depo Yeri Seçimi Problemi için Genetik Algoritma ile Bir Çözüm. XI. Üretim Araştırmaları Sempozyumu, 23-24 Haziran 2011.

REVERSE LOGISTICS FOR BLACK SEA REGION

Yıl 2021, Cilt: 11 Sayı: 21, 7 - 24, 30.06.2021

Öz

The logistics industry has to deal with the difficulties arising from the intensity of the pandemic recently, as well as the problems such as reducing the increasing costs and planning transportation activities. Firms also have responsibilities in the reverse logistics activities. In the context of environmental responsibility, it is extremely important to determine collection points so that recyclable products can be collected in specific centers to be included in the reverse logistics process. In this study, it was aimed to determine the collection points of recyclable products for 19 cities in the Black Sea region. Due to the geographical conditions of the Black Sea region, the analysis was carried out by considering 3 regions, namely the eastern, central and western Black Sea. To determine recycling collection points, simulated annealing method, one of the heuristic technique developed for continuous optimization problems is used and 3 reverse logistics recycling collection points were proposed for the Black Sea region.

Kaynakça

  • Aarts, E., Aarts, E. H., & Lenstra, J. K. (Eds.). (2003). Local search in combinatorial optimization. Princeton University Press.
  • Akçalı, E., Çetinkaya, S., & Üster, H. (2009). Network design for reverse and closed‐loop supply chains: An annotated bibliography of models and solution approaches. Networks, 53(3), 231-248.
  • Alumur, S. A., Nickel, S., Saldanha-da-Gama, F., & Verter, V. (2012). Multi-period reverse logistics network design. European Journal of Operational Research, 220(1), 67-78.
  • Aras, N., Aksen, D. (2008a). Locating collection centers for distance and incentive dependent returns. International Journal of Production Economics. 111(2), 316-333.
  • Aras, N., Aksen, D., Tanuğur, A.G. (2008b). Locating collection centers for incentive-dependent returns under a pick-up policy with capacitated vehicles.European Journal of Operational Research, 191(3), 1223–1240.
  • Aksen, D., Aras, N., Karaaslan, G. (2009). Design and analysis of government subsidized collection systems. International Journal of Production Economics, 119(2), 308-327.
  • Aydın, S. (2016). Lojistik Merkez Değerlendirmesi İçin Karar Verme Modeli ve Uygulama, 5. Ulusal Lojistik ve Tedarik Zinciri Kongresi, 2016.
  • Barros, A.I., Dekker, R., Scholten, V. (1998). A two-level network for recycling sand: A case study. European Journal of Operational Research, 110(2), 199–214.
  • Beamon, B. M., & Fernandes, C. (2004). Supply-chain network configuration for product recovery. Production Planning & Control, 15(3), 270-281.
  • Blum, C., & Roli, A. (2003). Metaheuristics in combinatorial optimization: Overview and conceptual comparison. ACM computing surveys (CSUR), 35(3), 268-308.
  • Cruz-Rivera, R., & Ertel, J. (2009). Reverse logistics network design for the collection of end-of-life vehicles in Mexico. European journal of operational research, 196(3), 930-939.
  • Demirel, N. Ö., & Gökçen, H. (2008). A mixed integer programming model for remanufacturing in reverse logistics environment. The International Journal of Advanced Manufacturing Technology, 39(11-12), 1197-1206.
  • Elgün, M. N. (2011). Ulusal ve Uluslararası Taşıma ve Ticarette Lojistik Köylerin Yapılanma Esasları ve Uygun Kuruluş Yeri Seçimi. Journal of Economics & Administrative Sciences/Afyon Kocatepe Üniversitesi Iktisadi ve Idari Bilimler Fakültesi Dergisi, 13(2).
  • Fleischmann, M., Beullens, P., BLOEMHOF‐RUWAARD, J. M., & Van Wassenhove, L. N. (2001). The impact of product recovery on logistics network design. Production and operations management, 10(2), 156-173.
  • Figueiredo, J.N., Mayerle, S.F. (2008). Designing minimum-cost recycling collection networks with required throughput. Transportation Research, 44(5), 731-752.
  • Gomes, M. I., Barbosa-Povoa, A. P., & Novais, A. Q. (2011). Modelling a recovery network for WEEE: A case study in Portugal. Waste management, 31(7), 1645-1660.
  • Görgülü, H., Paksoy, T., Çalık, A., (2020). Kapalı Döngü Tedarik Zincirinde Yeşil Lojistik ve Yer Seçimi için Bir Karma Tamsayılı Programlama Modeli Önerisi. Verimlilik Dergisi. T. C. Sanayi ve Teknoloji Bakanlığı Yayını.
  • Ingber, L., Petraglia, A., Petraglia, M. R., & Machado, M. A. S. (2012). Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing (Vol. 35). Springer Science & Business Media.
  • Jayaraman, V., Guide Jr., V.D.R., Srivastava, R. (1999). A closed-loop logistics model for remanufacturing. Journal of the Operational Research Society, 50(5), 497–508.
  • Jayaraman, V., Patterson, R.A., Rolland, E. (2003). The design of reverse distribution networks: Models and solution procedures. European Journal of Operational Research, 150(1), 128–149.
  • Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing. science, 220(4598), 671-680.
  • Kirkpatrick, S. (1984). Optimization by simulated annealing: Quantitative studies. Journal of statistical physics, 34(5-6), 975-986.
  • Krikke, H., Bloemhof-Ruwaard, J., & Van Wassenhove, L. N. (2003). Concurrent product and closed-loop supply chain design with an application to refrigerators. International journal of production research, 41(16), 3689-3719.
  • Lee, D. H., & Dong, M. (2008). A heuristic approach to logistics network design for end-of-lease computer products recovery. Transportation Research Part E: Logistics and Transportation Review, 44(3), 455-474.
  • Listeş, O., & Dekker, R. (2005). A stochastic approach to a case study for product recovery network design. European Journal of Operational Research, 160(1), 268-287.
  • Metropolis Nicholas, Rosenbluth Arianna, Teller Edward, Equation of State Calculations by Fast Computing Machines, sy. 1087-1092, 1953.
  • Pati, R.K., Vrat, P., Kumar, P. (2008). A goal programming model for paper recycling system. Omega, 36(3), 405–417. Queiruga, D., Walther, G., Gonzalez-Benito, J., & Spengler, T. (2008). Evaluation of sites for the location of WEEE recycling plants in Spain. Waste management, 28(1), 181-190.
  • Salema, M. I. G., Barbosa-Povoa, A. P., & Novais, A. Q. (2010). Simultaneous design and planning of supply chains with reverse flows: A generic modelling framework. European journal of operational research, 203(2), 336-349.
  • Schultmann, F., Engels, B., Rentz, O. (2003). Closed-loop supply chains for spent batteries. Interfaces, 33(6), 57–71.
  • Thierry, M., Salomon, M., Van Nunen, J., & Van Wassenhove, L. (1995). Strategic issues in product recovery management. California management review, 37(2), 114-136.
  • Yılmaz, B., Dağdeviren, M., & Akçayol, M. A. (2011). Hızlı Tüketim Malları Depo Yeri Seçimi Problemi için Genetik Algoritma ile Bir Çözüm. XI. Üretim Araştırmaları Sempozyumu, 23-24 Haziran 2011.
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Muhlis Özdemir 0000-0002-4921-8209

Yayımlanma Tarihi 30 Haziran 2021
Gönderilme Tarihi 13 Aralık 2020
Yayımlandığı Sayı Yıl 2021 Cilt: 11 Sayı: 21

Kaynak Göster

APA Özdemir, M. (2021). KARADENİZ BÖLGESİ İÇİN TERSİNE LOJİSTİK. Karadeniz Teknik Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Dergisi, 11(21), 7-24.
AMA Özdemir M. KARADENİZ BÖLGESİ İÇİN TERSİNE LOJİSTİK. KTÜSBD. Haziran 2021;11(21):7-24.
Chicago Özdemir, Muhlis. “KARADENİZ BÖLGESİ İÇİN TERSİNE LOJİSTİK”. Karadeniz Teknik Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Dergisi 11, sy. 21 (Haziran 2021): 7-24.
EndNote Özdemir M (01 Haziran 2021) KARADENİZ BÖLGESİ İÇİN TERSİNE LOJİSTİK. Karadeniz Teknik Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Dergisi 11 21 7–24.
IEEE M. Özdemir, “KARADENİZ BÖLGESİ İÇİN TERSİNE LOJİSTİK”, KTÜSBD, c. 11, sy. 21, ss. 7–24, 2021.
ISNAD Özdemir, Muhlis. “KARADENİZ BÖLGESİ İÇİN TERSİNE LOJİSTİK”. Karadeniz Teknik Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Dergisi 11/21 (Haziran 2021), 7-24.
JAMA Özdemir M. KARADENİZ BÖLGESİ İÇİN TERSİNE LOJİSTİK. KTÜSBD. 2021;11:7–24.
MLA Özdemir, Muhlis. “KARADENİZ BÖLGESİ İÇİN TERSİNE LOJİSTİK”. Karadeniz Teknik Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Dergisi, c. 11, sy. 21, 2021, ss. 7-24.
Vancouver Özdemir M. KARADENİZ BÖLGESİ İÇİN TERSİNE LOJİSTİK. KTÜSBD. 2021;11(21):7-24.

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