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ATIK ELEKTRİKLİ VE ELEKTRONİK EŞYALAR İÇİN ÇOK AMAÇLI BİR TERSİNE LOJİSTİK AĞ TASARIMI: İSTANBUL UYGULAMASI

Year 2018, Volume: 23 Issue: 4, 41 - 54, 31.12.2018
https://doi.org/10.17482/uumfd.455360

Abstract

Bu çalışmada, Çevre ve Şehircilik Bakanlığı Atık Elektrikli ve
Elektronik Eşyalar (AEEE) Kontrolü Yönetmeliği’ne göre İstanbul ilinde
toplanması gereken AEEE için çok amaçlı karma tamsayılı programlama modeli
oluşturulmuştur. Model, sürdürülebilirlik kavramının üç temel hedefinden
(ekonomik, çevresel ve sosyal) yola çıkarak, sorumlu paydaşların yönetmelikte
tanımlanan yükümlülükleri dikkate alınarak tasarlanmıştır. Fakat yönetmeliğe
rağmen yasa dışı olarak AEEE toplayan ve ayrıştıran hurdacılar mevcuttur. Bu
tip atıklar insan sağlığına oldukça zararlı olabildiğinden, gerekli ekipmanları
olmayan hurdacılar için risk oluşturmaktadır. Buradan yola çıkarak, AEEE
toplayan hurdacıların ve hurda depolarının, devlet teşviki ile yasal atık
sistemine dâhil edilerek sağlıklarının güvence altına alınması ve sosyal
statülerinin arttırılması sosyal amaç olarak seçilmiştir.  Bu bağlamda, modelin sosyal faydayı
hedefleyen amacı istihdamı enbüyüklemektir. Modelin diğer amaçları, tersine
lojistik operasyonlarının çevreye yarattığı olumsuz etkileri enküçüklemek ve
AEEE işleme ve geri kazanım sisteminin toplam kârını enbüyüklemektir. Farklı
atık toplama yüzdeleri ve devlet teşviki miktarları için senaryolar
oluşturulmuştur.  Önerilen model CPLEX
eniyileme çözücüsü kullanılarak epsilon kısıt yöntemi ile çözülmüş ve açılacak
atık işleme tesislerine ve teşvik verilerek AEEE geri kazanım sistemine dâhil
edilecek hurda depolarına karar verilmiştir.

References

  • Achillas, C., Vlachokostas, C., Aidonis, D., Moussiopoulos, Ν., Iakovou, E., & Banias, G. (2010). Optimising reverse logistics network to support policy-making in the case of electrical and electronic equipment. Waste Management, 30(12), 2592-2600. doi: 10.1016/j.wasman.2010.06.022
  • Alshamsi, A., & Diabat, A. (2017). A Genetic Algorithm for Reverse Logistics network design: A case study from the GCC. Journal of Cleaner Production, 151, 652-669. doi: 10.1016/j.jclepro.2017.02.096
  • Ayvaz, B., Bolat, B., & Aydın, N. (2015). Stochastic reverse logistics network design for waste of electrical and electronic equipment. Resources, conservation and recycling, 104, 391-404. doi: 10.1016/j.resconrec.2015.07.006
  • Deb, K. (2005). Multi-objective optimization using evolutionary algorithms. Wiley. ISBN: 978-0-471-87339-6
  • El Korchi, A.,Millet, D. (2011). Designing a sustainable reverse logistics channel: the 18 generic structures framework. Journal of Cleaner Production, 19(6-7), 588-597. doi: 10.1016/j.jclepro.2010.11.013
  • Govindan, K., Fattahi, M., & Keyvanshokooh, E. (2017). Supply chain network design under uncertainty: A comprehensive review and future research directions. European Journal of Operational Research, 263(1), 108-141. doi: 10.1016/j.ejor.2017.04.009
  • Govindan, K., Paam, P., & Abtahi, A. R. (2016). A fuzzy multi-objective optimization model for sustainable reverse logistics network design. Ecological indicators, 67, 753-768. doi: 10.1016/j.ecolind.2016.03.017
  • H. Yu and W. D. Solvang, “A new two-stage stochastic model for reverse logistics network design under government subsidy and low-carbon emission requirement,”in Industrial Engineering and Engineering Management (IEEM), 2017 IEEE International Conference on, pp. 90–94, IEEE, 2017. doi: 10.1109/IEEM.2017.8289857
  • Kannan, D., Diabat, A., Alrefaei, M., Govindan, K., & Yong, G. (2012). A carbon footprint based reverse logistics network design model. Resources, conservation and recycling, 67, 75-79. doi: 10.1016/j.resconrec.2012.03.005
  • Kilic, H. S., Cebeci, U., & Ayhan, M. B. (2015). Reverse logistics system design for the waste of electrical and electronic equipment (WEEE) in Turkey. Resources, Conservation and Recycling, 95, 120-132. doi: 10.1016/j.resconrec.2014.12.010
  • Lieckens, K., & Vandaele, N. (2007). Reverse logistics network design with stochastic lead times. Computers & Operations Research, 34(2), 395-416. doi: 10.1016/j.cor.2005.03.006
  • Lokman, B. (2017). Çok Amaçlı Tamsayı Programlama Problemleri için Temsili Çözüm Üreten Yaklaşımların ve Kalite Ölçülerinin İncelenmesi. Journal of Industrial Engineering (Turkish Chamber of Mechanical Engineers), 28(1),19-39.
  • M. Talaei, B. F. Moghaddam, M. S. Pishvaee, A. Bozorgi-Amiri, and S. Gholamnejad, “A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry,” Journal of Cleaner Production, vol. 113, pp. 662–673, 2016. doi: 10.1016/j.jclepro.2015.10.074
  • Mavrotas, G. (2009). Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied mathematics and computation, 213(2), 455-465. doi: 10.1016/j.amc.2009.03.037
  • Pishvaee, M. S., Farahani, R. Z., & Dullaert, W. (2010). A memetic algorithm for bi-objective integrated forward/reverse logistics network design. Computers & operations research, 37(6), 1100-1112. doi: 10.1016/j.cor.2009.09.018
  • REC (Regional Environment Center-Turkey) 2012. Regulatory Impact Assessment of EU Waste Electrical and Electronic Equipment (WEEE) Directive (2002/96/EC).
  • REC (Regional Environment Center-Turkey) 2016. Atık Elektrikli ve Elektronik Eşyaların Kontrolü Yönetmeliği Belediye Uygulama Rehberi. ISBN: 978-975-6180-45-7
  • Salema, M. I. G., Barbosa-Povoa, A. P., & Novais, A. Q. (2007). An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty. European Journal of Operational Research, 179(3), 1063-1077. doi: 10.1016/j.ejor.2005.05.032
  • Temur, G. T., & Bolat, B. (2017). Evaluating efforts to build sustainable WEEE reverse logistics network design: comparison of regulatory and non-regulatory approaches. International Journal of Sustainable Engineering, 10(6), 358-383. doi: 10.1080/19397038.2017.1379572
  • Ye, T., & Zhenhua, Y. (2014). Reverse logistics network: A literature review. Journal of Chemical and Pharmaceutical Research, 6(7), 1916-1921.

A Multi-Objective Reverse Logistics Network Design for Waste Electrical and Electronic Equipment: The Case of Istanbul

Year 2018, Volume: 23 Issue: 4, 41 - 54, 31.12.2018
https://doi.org/10.17482/uumfd.455360

Abstract

In this study, we propose a multi-objective mixed-integer
programming model for the collection of Waste of Electric and Electronic
Equipment (WEEE) in Istanbul, by following the requirement set by the Ministry
of Environment and Urbanization WEEE Directive. The model considers three
aspects of sustainability, namely economic, environmental and social. Although the
responsibilities of related authorities explicitly defined in the directive,
illegal WEEE collectors still operate in the collection system. These illegal
collectors do not utilize proper equipment and provide necessary conditions for
the treatment of WEEE, which may cause significant health-related
and
life-threatening issues. By taking this situation into account, we adopt the
official employment of illegal WEEE scrap dealers and inclusion of their junk
yards into legal waste stream as the social objective of the model. In other
words, maximizing the employment is one of the objectives. The remaining two objectives
deal with minimizing the adverse environmental effect of reverse logistics
activities and maximizing the overall profit of WEEE treatment and recovery network.
The proposed model is solved using CPLEX solver by utilizing the
epsilon-constraint method. We consider various scenarios with respect to WEEE
collection targets to make WEEE treatment facilities siting decisions and to
determine the subsidy amounts for the scrap dealer junkyards which will be
included in the recovery system and discuss the results.

References

  • Achillas, C., Vlachokostas, C., Aidonis, D., Moussiopoulos, Ν., Iakovou, E., & Banias, G. (2010). Optimising reverse logistics network to support policy-making in the case of electrical and electronic equipment. Waste Management, 30(12), 2592-2600. doi: 10.1016/j.wasman.2010.06.022
  • Alshamsi, A., & Diabat, A. (2017). A Genetic Algorithm for Reverse Logistics network design: A case study from the GCC. Journal of Cleaner Production, 151, 652-669. doi: 10.1016/j.jclepro.2017.02.096
  • Ayvaz, B., Bolat, B., & Aydın, N. (2015). Stochastic reverse logistics network design for waste of electrical and electronic equipment. Resources, conservation and recycling, 104, 391-404. doi: 10.1016/j.resconrec.2015.07.006
  • Deb, K. (2005). Multi-objective optimization using evolutionary algorithms. Wiley. ISBN: 978-0-471-87339-6
  • El Korchi, A.,Millet, D. (2011). Designing a sustainable reverse logistics channel: the 18 generic structures framework. Journal of Cleaner Production, 19(6-7), 588-597. doi: 10.1016/j.jclepro.2010.11.013
  • Govindan, K., Fattahi, M., & Keyvanshokooh, E. (2017). Supply chain network design under uncertainty: A comprehensive review and future research directions. European Journal of Operational Research, 263(1), 108-141. doi: 10.1016/j.ejor.2017.04.009
  • Govindan, K., Paam, P., & Abtahi, A. R. (2016). A fuzzy multi-objective optimization model for sustainable reverse logistics network design. Ecological indicators, 67, 753-768. doi: 10.1016/j.ecolind.2016.03.017
  • H. Yu and W. D. Solvang, “A new two-stage stochastic model for reverse logistics network design under government subsidy and low-carbon emission requirement,”in Industrial Engineering and Engineering Management (IEEM), 2017 IEEE International Conference on, pp. 90–94, IEEE, 2017. doi: 10.1109/IEEM.2017.8289857
  • Kannan, D., Diabat, A., Alrefaei, M., Govindan, K., & Yong, G. (2012). A carbon footprint based reverse logistics network design model. Resources, conservation and recycling, 67, 75-79. doi: 10.1016/j.resconrec.2012.03.005
  • Kilic, H. S., Cebeci, U., & Ayhan, M. B. (2015). Reverse logistics system design for the waste of electrical and electronic equipment (WEEE) in Turkey. Resources, Conservation and Recycling, 95, 120-132. doi: 10.1016/j.resconrec.2014.12.010
  • Lieckens, K., & Vandaele, N. (2007). Reverse logistics network design with stochastic lead times. Computers & Operations Research, 34(2), 395-416. doi: 10.1016/j.cor.2005.03.006
  • Lokman, B. (2017). Çok Amaçlı Tamsayı Programlama Problemleri için Temsili Çözüm Üreten Yaklaşımların ve Kalite Ölçülerinin İncelenmesi. Journal of Industrial Engineering (Turkish Chamber of Mechanical Engineers), 28(1),19-39.
  • M. Talaei, B. F. Moghaddam, M. S. Pishvaee, A. Bozorgi-Amiri, and S. Gholamnejad, “A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry,” Journal of Cleaner Production, vol. 113, pp. 662–673, 2016. doi: 10.1016/j.jclepro.2015.10.074
  • Mavrotas, G. (2009). Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied mathematics and computation, 213(2), 455-465. doi: 10.1016/j.amc.2009.03.037
  • Pishvaee, M. S., Farahani, R. Z., & Dullaert, W. (2010). A memetic algorithm for bi-objective integrated forward/reverse logistics network design. Computers & operations research, 37(6), 1100-1112. doi: 10.1016/j.cor.2009.09.018
  • REC (Regional Environment Center-Turkey) 2012. Regulatory Impact Assessment of EU Waste Electrical and Electronic Equipment (WEEE) Directive (2002/96/EC).
  • REC (Regional Environment Center-Turkey) 2016. Atık Elektrikli ve Elektronik Eşyaların Kontrolü Yönetmeliği Belediye Uygulama Rehberi. ISBN: 978-975-6180-45-7
  • Salema, M. I. G., Barbosa-Povoa, A. P., & Novais, A. Q. (2007). An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty. European Journal of Operational Research, 179(3), 1063-1077. doi: 10.1016/j.ejor.2005.05.032
  • Temur, G. T., & Bolat, B. (2017). Evaluating efforts to build sustainable WEEE reverse logistics network design: comparison of regulatory and non-regulatory approaches. International Journal of Sustainable Engineering, 10(6), 358-383. doi: 10.1080/19397038.2017.1379572
  • Ye, T., & Zhenhua, Y. (2014). Reverse logistics network: A literature review. Journal of Chemical and Pharmaceutical Research, 6(7), 1916-1921.
There are 20 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Research Articles
Authors

Özlem Karadeniz Alver 0000-0001-5463-201X

Berk Ayvaz

Bülent Çatay

Publication Date December 31, 2018
Submission Date August 27, 2018
Acceptance Date November 30, 2018
Published in Issue Year 2018 Volume: 23 Issue: 4

Cite

APA Karadeniz Alver, Ö., Ayvaz, B., & Çatay, B. (2018). ATIK ELEKTRİKLİ VE ELEKTRONİK EŞYALAR İÇİN ÇOK AMAÇLI BİR TERSİNE LOJİSTİK AĞ TASARIMI: İSTANBUL UYGULAMASI. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, 23(4), 41-54. https://doi.org/10.17482/uumfd.455360
AMA Karadeniz Alver Ö, Ayvaz B, Çatay B. ATIK ELEKTRİKLİ VE ELEKTRONİK EŞYALAR İÇİN ÇOK AMAÇLI BİR TERSİNE LOJİSTİK AĞ TASARIMI: İSTANBUL UYGULAMASI. UUJFE. December 2018;23(4):41-54. doi:10.17482/uumfd.455360
Chicago Karadeniz Alver, Özlem, Berk Ayvaz, and Bülent Çatay. “ATIK ELEKTRİKLİ VE ELEKTRONİK EŞYALAR İÇİN ÇOK AMAÇLI BİR TERSİNE LOJİSTİK AĞ TASARIMI: İSTANBUL UYGULAMASI”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 23, no. 4 (December 2018): 41-54. https://doi.org/10.17482/uumfd.455360.
EndNote Karadeniz Alver Ö, Ayvaz B, Çatay B (December 1, 2018) ATIK ELEKTRİKLİ VE ELEKTRONİK EŞYALAR İÇİN ÇOK AMAÇLI BİR TERSİNE LOJİSTİK AĞ TASARIMI: İSTANBUL UYGULAMASI. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 23 4 41–54.
IEEE Ö. Karadeniz Alver, B. Ayvaz, and B. Çatay, “ATIK ELEKTRİKLİ VE ELEKTRONİK EŞYALAR İÇİN ÇOK AMAÇLI BİR TERSİNE LOJİSTİK AĞ TASARIMI: İSTANBUL UYGULAMASI”, UUJFE, vol. 23, no. 4, pp. 41–54, 2018, doi: 10.17482/uumfd.455360.
ISNAD Karadeniz Alver, Özlem et al. “ATIK ELEKTRİKLİ VE ELEKTRONİK EŞYALAR İÇİN ÇOK AMAÇLI BİR TERSİNE LOJİSTİK AĞ TASARIMI: İSTANBUL UYGULAMASI”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 23/4 (December 2018), 41-54. https://doi.org/10.17482/uumfd.455360.
JAMA Karadeniz Alver Ö, Ayvaz B, Çatay B. ATIK ELEKTRİKLİ VE ELEKTRONİK EŞYALAR İÇİN ÇOK AMAÇLI BİR TERSİNE LOJİSTİK AĞ TASARIMI: İSTANBUL UYGULAMASI. UUJFE. 2018;23:41–54.
MLA Karadeniz Alver, Özlem et al. “ATIK ELEKTRİKLİ VE ELEKTRONİK EŞYALAR İÇİN ÇOK AMAÇLI BİR TERSİNE LOJİSTİK AĞ TASARIMI: İSTANBUL UYGULAMASI”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, vol. 23, no. 4, 2018, pp. 41-54, doi:10.17482/uumfd.455360.
Vancouver Karadeniz Alver Ö, Ayvaz B, Çatay B. ATIK ELEKTRİKLİ VE ELEKTRONİK EŞYALAR İÇİN ÇOK AMAÇLI BİR TERSİNE LOJİSTİK AĞ TASARIMI: İSTANBUL UYGULAMASI. UUJFE. 2018;23(4):41-54.

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