Research Article
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Open Electric Trucks Routing Optimization

Year 2018, Volume: 23 Issue: 4, 1 - 10, 31.12.2018
https://doi.org/10.17482/uumfd.454071

Abstract



In recent years,
efforts have been focused on preventing environmental problems caused by the
logistics sector and reducing the amount of energy consumption. The use of
electric vehicles is one of the innovative approaches that can be applied for
this purpose in the logistics sector and is one of the widely studied issues.
In the scope of this study, it is aimed to develop a mathematical model that
optimizes the route in case of using electric trucks in the logistics sector.
The problem of electric vehicle routing is taken into account integrated with
the concept of open vehicle routing. A mixed integer programming model is
proposed for solving the problem and
three different objective functions are defined; total
distance minimization, minimization of the total number of used vehicles and total
energy consumption minimization. The proposed model is tested on the sample
problems, the model is verified and comparative results are obtained for
different objective functions. The obtained results show that the proposed
model can achieve optimum results with short processing times in small sized
real life applications. It is anticipated that the route optimization of
electric vehicles will reduce environmental pollution caused by logistics
sector and provide energy efficiency.




References

  • Afroditi, A., Boile, M., Theofanis, S., Sdoukopoulos, E. ve Margaritis, D. (2014) Electric vehicle routing problem with industry constraints: Trends and insights for future research, Transportation Research Procedia, 3, 452-459. doi: 10.1016/j.trpro.2014.10.026
  • Atefi, R., Salari, M.Coelhoi, L.C. ve Renaud, J. (2018) The open vehicle routing problem with decoupling points, European Journal of Operational Research, 265(1), 316-327. doi:10.1016/j.ejor.2017.07.033
  • Bozyer, Z., Alkan, A. ve Fığlalı, A. (2014) Kapasite kısıtlı araç rotalama probleminin çözümü için önce grupla sonra rotala merkezli sezgisel algoritma önerisi, Bilişim Teknolojileri Dergisi, 7(2), 29-37. doi: 10.12973/bid.2018
  • Erbao, C., Mingyong, L. ve Hongming, Y. (2014) Open vehicle routing problem with demand uncertainty and its robust strategies, Expert Systems with Applications, 41(7), 3569-3575. doi:10.1016/j.eswa.2013.11.004
  • Hiermann, G., Puchinger, J., Ropke, S. ve Hartl, R.F. (2016) The electric fleet size and mix vehicle routing problem with time windows and recharging stations, European Journal of Operational Research, 252(3), 995-1018. doi: 10.1016/j.ejor.2016.01.038
  • Hung, Y.C. ve Michailidis, G. (2015) Optimal routing for electric vehicle service systems, European Journal of Operational Research, 247(2), 515-524. doi:10.1016/j.ejor.2015.06.013
  • Karmakar, M., ve Nandi, A.K., (2016) Trip planning for electric vehicle through optimal driving using genetic algorithm, 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES-2016). doi: 10.1109/ICPEICES.2016.7853336
  • Keskin, M. ve Çatay, B. (2016) Partial recharge strategies for the electric vehicle routing problem with time windows, Transportation Research Part C: Emerging Technologies, 65, 111-127. doi: 10.1016/j.trc.2016.01.013
  • Lin, J., Zhou, W. ve Wolfson, O. (2016) Electric vehicle routing problem, Transportation Research Procedia, 12, 508-521. doi: 10.1016/j.trpro.2016.02.007
  • Mancini, S. (2017) The hybrid vehicle routing problem, Transportation Research Part C: Emerging Technologies, 78, 1-12. doi:10.1016/j.trc.2017.02.004
  • MirHassani, S.A. ve Abolghasemi, N. (2011) A particle swarm optimization algorithm for open vehicle routing problem, Expert Systems with Applications, 38(9), 11547-11551. doi:10.1016/j.eswa.2011.03.032
  • Montoya, A., Guéret, C., Mendoza, J.E. ve Villegas, J.G. (2017) The electric vehicle routing problem with nonlinear charging function, Transportation Research Part B: Methodological, 103, 87-110. doi:10.1016/j.trb.2017.02.004
  • Murakami, K. (2017) A new model and approach to electric and diesel-powered vehicle routing, Transportation Research Part E: Logistics and Transportation Review, 107, 23-37. doi:10.1016/j.tre.2017.09.004
  • Niu, Y., Yang, Z., Chen, P. ve Xiao, J. (2018) Optimizing the green open vehicle routing problem with time windows by minimizing comprehensive routing cost, Journal of Cleaner Production, 171, 962-971. doi:10.1016/j.jclepro.2017.10.001
  • Roberti, R. ve Wen, M. (2016) The electric traveling salesman problem with time windows, Transportation Research Part E: Logistics and Transportation Review, 89, 32-52. doi: 10.1016/j.tre.2016.01.010
  • Schiffer, M., Schneider, M. ve Laporte, G. (2018) Designing sustainable mid-haul logistics networks with intra-route multi-resource facilities, European Journal of Operational Research, 265(2), 517-532. doi: 10.1016/j.ejor.2017.07.067
  • Schneider, M., Stenger, A. ve Goeke, D. (2014) The electric vehicle-routing problem with time windows and recharging stations, Transportation Science, 48(4), 500-520. doi: 10.1287/trsc.2013.0490
  • Vaz, W., Nandi, A.K.R., Landers, R.G., Koylu, U.O., (2015) Electric vehicle range prediction for constant speed trip using multi-objective optimization, Journal of Power Sources, 275, 435–446. doi: 10.1016/j.jpowsour.2014.11.043
  • Wang, Y., Bi, J., Guan, W. ve Zhao, X. (2017) Optimising route choices for the travelling and charging of battery electric vehicles by considering multiple objectives, Transportation Research Part D, in press. doi: 10.1016/j.trd.2017.08.022
  • Yu, V.F., Jewpanya, P. ve Redi, A.A.N.P. (2016) Open vehicle routing problem with cross-docking, Computers and Industrial Engineering, 94, 6-17. doi:10.1016/j.cie.2016.01.018
  • Zhang, S., Luo, Y., ve Li, K. (2016). Multi-objective route search for electric vehicles using ant colony optimization, Proceedings of the American Control Conference, 2016 American Control Conference, ACC 2016. doi: 10.1109/ACC.2016.7524985

ELEKTRİKLİ KAMYONLAR İÇİN AÇIK UÇLU ROTALAMA OPTİMİZASYONU

Year 2018, Volume: 23 Issue: 4, 1 - 10, 31.12.2018
https://doi.org/10.17482/uumfd.454071

Abstract



Son yıllarda lojistik sektörü kaynaklı çevresel
problemlerin önüne geçilmesi ve enerji tüketim miktarının azaltılmasına yönelik
çalışmalar ağırlık kazanmıştır. Elektrikli araç kullanımı, lojistik sektöründe
bu amaçla uygulanabilecek yenilikçi yaklaşımlardan bir tanesidir ve yaygın
olarak çalışılan konulardan biridir. Bu çalışma kapsamında lojistik sektöründe
elektrikli kamyonların kullanılması durumunda rota optimizasyonu yapan bir
matematiksel model geliştirilmesi amaçlanmıştır. Elektrikli araç rotalama problemi,
açık uçlu araç rotalama konsepti ile birlikte dikkate alınmıştır. Problemin
çözümü için karışık tamsayılı programlama modeli önerilmiştir ve probleme, toplam
mesafe minimizasyonu, kullanılan toplam araç sayısı minimizasyonu ve harcanan
toplam enerji miktarı minimizasyonu olmak üzere üç farklı amaç fonksiyonu
tanımlanmıştır. Önerilen model, örnek problemler üzerinde test edilerek doğrulanmış
ve farklı amaç fonksiyonları için karşılaştırmalı sonuçlar elde edilmiştir. Ulaşılan
sonuçlar, önerilen model ile küçük boyutlu gerçek hayat uygulamalarında kısa
işlem süreleri ile optimum sonuçların elde edilebileceğini göstermiştir.
Elektrikli araçların rota optimizasyonu yapılarak lojistik kaynaklı çevre
kirlenmesinin azaltılacağı ve enerji verimliliği sağlanacağı öngörülmektedir.




References

  • Afroditi, A., Boile, M., Theofanis, S., Sdoukopoulos, E. ve Margaritis, D. (2014) Electric vehicle routing problem with industry constraints: Trends and insights for future research, Transportation Research Procedia, 3, 452-459. doi: 10.1016/j.trpro.2014.10.026
  • Atefi, R., Salari, M.Coelhoi, L.C. ve Renaud, J. (2018) The open vehicle routing problem with decoupling points, European Journal of Operational Research, 265(1), 316-327. doi:10.1016/j.ejor.2017.07.033
  • Bozyer, Z., Alkan, A. ve Fığlalı, A. (2014) Kapasite kısıtlı araç rotalama probleminin çözümü için önce grupla sonra rotala merkezli sezgisel algoritma önerisi, Bilişim Teknolojileri Dergisi, 7(2), 29-37. doi: 10.12973/bid.2018
  • Erbao, C., Mingyong, L. ve Hongming, Y. (2014) Open vehicle routing problem with demand uncertainty and its robust strategies, Expert Systems with Applications, 41(7), 3569-3575. doi:10.1016/j.eswa.2013.11.004
  • Hiermann, G., Puchinger, J., Ropke, S. ve Hartl, R.F. (2016) The electric fleet size and mix vehicle routing problem with time windows and recharging stations, European Journal of Operational Research, 252(3), 995-1018. doi: 10.1016/j.ejor.2016.01.038
  • Hung, Y.C. ve Michailidis, G. (2015) Optimal routing for electric vehicle service systems, European Journal of Operational Research, 247(2), 515-524. doi:10.1016/j.ejor.2015.06.013
  • Karmakar, M., ve Nandi, A.K., (2016) Trip planning for electric vehicle through optimal driving using genetic algorithm, 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES-2016). doi: 10.1109/ICPEICES.2016.7853336
  • Keskin, M. ve Çatay, B. (2016) Partial recharge strategies for the electric vehicle routing problem with time windows, Transportation Research Part C: Emerging Technologies, 65, 111-127. doi: 10.1016/j.trc.2016.01.013
  • Lin, J., Zhou, W. ve Wolfson, O. (2016) Electric vehicle routing problem, Transportation Research Procedia, 12, 508-521. doi: 10.1016/j.trpro.2016.02.007
  • Mancini, S. (2017) The hybrid vehicle routing problem, Transportation Research Part C: Emerging Technologies, 78, 1-12. doi:10.1016/j.trc.2017.02.004
  • MirHassani, S.A. ve Abolghasemi, N. (2011) A particle swarm optimization algorithm for open vehicle routing problem, Expert Systems with Applications, 38(9), 11547-11551. doi:10.1016/j.eswa.2011.03.032
  • Montoya, A., Guéret, C., Mendoza, J.E. ve Villegas, J.G. (2017) The electric vehicle routing problem with nonlinear charging function, Transportation Research Part B: Methodological, 103, 87-110. doi:10.1016/j.trb.2017.02.004
  • Murakami, K. (2017) A new model and approach to electric and diesel-powered vehicle routing, Transportation Research Part E: Logistics and Transportation Review, 107, 23-37. doi:10.1016/j.tre.2017.09.004
  • Niu, Y., Yang, Z., Chen, P. ve Xiao, J. (2018) Optimizing the green open vehicle routing problem with time windows by minimizing comprehensive routing cost, Journal of Cleaner Production, 171, 962-971. doi:10.1016/j.jclepro.2017.10.001
  • Roberti, R. ve Wen, M. (2016) The electric traveling salesman problem with time windows, Transportation Research Part E: Logistics and Transportation Review, 89, 32-52. doi: 10.1016/j.tre.2016.01.010
  • Schiffer, M., Schneider, M. ve Laporte, G. (2018) Designing sustainable mid-haul logistics networks with intra-route multi-resource facilities, European Journal of Operational Research, 265(2), 517-532. doi: 10.1016/j.ejor.2017.07.067
  • Schneider, M., Stenger, A. ve Goeke, D. (2014) The electric vehicle-routing problem with time windows and recharging stations, Transportation Science, 48(4), 500-520. doi: 10.1287/trsc.2013.0490
  • Vaz, W., Nandi, A.K.R., Landers, R.G., Koylu, U.O., (2015) Electric vehicle range prediction for constant speed trip using multi-objective optimization, Journal of Power Sources, 275, 435–446. doi: 10.1016/j.jpowsour.2014.11.043
  • Wang, Y., Bi, J., Guan, W. ve Zhao, X. (2017) Optimising route choices for the travelling and charging of battery electric vehicles by considering multiple objectives, Transportation Research Part D, in press. doi: 10.1016/j.trd.2017.08.022
  • Yu, V.F., Jewpanya, P. ve Redi, A.A.N.P. (2016) Open vehicle routing problem with cross-docking, Computers and Industrial Engineering, 94, 6-17. doi:10.1016/j.cie.2016.01.018
  • Zhang, S., Luo, Y., ve Li, K. (2016). Multi-objective route search for electric vehicles using ant colony optimization, Proceedings of the American Control Conference, 2016 American Control Conference, ACC 2016. doi: 10.1109/ACC.2016.7524985
There are 21 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Research Articles
Authors

Aslı Aksoy

Seval Ene Yalçın

İlker Küçükoğlu

Nursel Öztürk

Publication Date December 31, 2018
Submission Date August 16, 2018
Acceptance Date November 9, 2018
Published in Issue Year 2018 Volume: 23 Issue: 4

Cite

APA Aksoy, A., Ene Yalçın, S., Küçükoğlu, İ., Öztürk, N. (2018). ELEKTRİKLİ KAMYONLAR İÇİN AÇIK UÇLU ROTALAMA OPTİMİZASYONU. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, 23(4), 1-10. https://doi.org/10.17482/uumfd.454071
AMA Aksoy A, Ene Yalçın S, Küçükoğlu İ, Öztürk N. ELEKTRİKLİ KAMYONLAR İÇİN AÇIK UÇLU ROTALAMA OPTİMİZASYONU. UUJFE. December 2018;23(4):1-10. doi:10.17482/uumfd.454071
Chicago Aksoy, Aslı, Seval Ene Yalçın, İlker Küçükoğlu, and Nursel Öztürk. “ELEKTRİKLİ KAMYONLAR İÇİN AÇIK UÇLU ROTALAMA OPTİMİZASYONU”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 23, no. 4 (December 2018): 1-10. https://doi.org/10.17482/uumfd.454071.
EndNote Aksoy A, Ene Yalçın S, Küçükoğlu İ, Öztürk N (December 1, 2018) ELEKTRİKLİ KAMYONLAR İÇİN AÇIK UÇLU ROTALAMA OPTİMİZASYONU. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 23 4 1–10.
IEEE A. Aksoy, S. Ene Yalçın, İ. Küçükoğlu, and N. Öztürk, “ELEKTRİKLİ KAMYONLAR İÇİN AÇIK UÇLU ROTALAMA OPTİMİZASYONU”, UUJFE, vol. 23, no. 4, pp. 1–10, 2018, doi: 10.17482/uumfd.454071.
ISNAD Aksoy, Aslı et al. “ELEKTRİKLİ KAMYONLAR İÇİN AÇIK UÇLU ROTALAMA OPTİMİZASYONU”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 23/4 (December 2018), 1-10. https://doi.org/10.17482/uumfd.454071.
JAMA Aksoy A, Ene Yalçın S, Küçükoğlu İ, Öztürk N. ELEKTRİKLİ KAMYONLAR İÇİN AÇIK UÇLU ROTALAMA OPTİMİZASYONU. UUJFE. 2018;23:1–10.
MLA Aksoy, Aslı et al. “ELEKTRİKLİ KAMYONLAR İÇİN AÇIK UÇLU ROTALAMA OPTİMİZASYONU”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, vol. 23, no. 4, 2018, pp. 1-10, doi:10.17482/uumfd.454071.
Vancouver Aksoy A, Ene Yalçın S, Küçükoğlu İ, Öztürk N. ELEKTRİKLİ KAMYONLAR İÇİN AÇIK UÇLU ROTALAMA OPTİMİZASYONU. UUJFE. 2018;23(4):1-10.

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