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Yeşil ve Elektrikli Araç Rotalama Problemleri Üzerine bir Literatür Taraması ve Araştırma Öngörüleri

Year 2018, Volume: 17 Issue: 3, 1041 - 1053, 11.07.2018
https://doi.org/10.21547/jss.404377

Abstract

Karayolu taşımacılığında son yıllarda
üzerinde önemle durulan konulardan birisi yeşil lojistik kavramıdır.
Konvansiyonel araçların çevreye olan zararlarını, bir diğer deyişle
karbondioksit salınımlarının azaltılması için literatürde birçok çalışma
yapılmıştır. Elektrikli araçların dağıtım faaliyetlerinde kullanılmaya
başlanması ise yeni bir problemin, Elektrikli Araç Rotalama Probleminin (E-ARP)
ortaya çıkmasına sebep olmuştur.
E-ARP’de amaç enküçük maliyetli rotaların tespiti
problemidir. Bu problemde, her müşteriye kesinlikle bir kez uğranmalı, bir rota
depodan başlamalı ve tekrar depoda son bulmalı ve gerektiği takdirde şarj
istasyonlarından aküleri şarj edilmeli.
Bu literatür taramasında, öncelikle yeşil lojistik çerçevesinde çalışılan
yeşil Araç Rotalama Problemleri incelenecek, daha sonrasında ise E-ARP üzerine
yapılan çalışmalar detaylı olarak incelenecektir. Ayrıca çalışmada, gelecek
için çeşitli araştırma öngörüleri sunulmuştur.

References

  • Bektaş, T., Laporte, G., The pollution-routing problem, Transportation Research Part B, 45, 1232–1250, 2011.
  • Bektaş, T., Demir, E., Laporte, G., Green vehicle routing, In Green Transportation Logistics: In Search of Win-Win Solutions, H.N. Psaraftis (Eds.), (pp. 243--265), Springer, Switzerland, 2016.
  • Clarke, G. and Wright, J. W., Scheduling of vehicles from a central depot to a number of delivery points, Operations Research, 12, 568-581, 1964.
  • Cordeau, J.-F., Laporte, G., Savelsbergh, M. W. P., Vigo, D., Vehicle routing. In: Barnhart, C. and Laporte, G. (Eds.), Transportation, Handbooks in Operations Research and Management Science, (pp 367-428), Elsevier, Amsterdam, 2007.
  • Çetinkaya, C., Özceylan, E. Üniversite Öğrencilerinin Yeşil Satın Alma Tutumlarının İncelenmesine Yönelik Bir Araştırma: Gaziantep Üniversitesi Örneği. Gaziantep University Journal of Social Sciences, 16, 289-302, 2017.
  • Dabia, S., Demir, E. Woensel, T. van., An exact approach for a variant of the pollution routing problem, Transportation Science, 51, 607-628, 2017.Dantzig, G. B., Ramser, J., The truck dispatching problem, Management Science, 6, 80-88, 1959.
  • Demir, E., Bektaş, T., Laporte, G., A comparative analysis of several vehicle emission models for road freight transportation, Transportation Research Part D 6, 347-357, 2011.
  • Demir, E., Bektaş, T., Laporte, G., An adaptive large neighborhood search heuristic for the pollution-routing problem, European Journal of Operational Research, 223, 346–359, 2012.
  • Demir, E., Bektaş, T., Laporte, G., The bi-objective pollution-routing problem, European Journal of Operational Research, 232, 464–478, 2014a.
  • Demir, E., Bektaş, T., Laporte, G., A review of recent research on green road freight transportation, European Journal of Operational Research, 237, 775–793, 2014b.
  • Demirel, N. Ömrünü Tamamlamış Araçların Geri Dönüşümünde Yükseltilmiş Yönetmelik Hedeflerini Karşılamak İçin Ağ Tasarımı ve Modellenmesi, Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, 5 (3), 223-236, 2017.
  • Desaulniers, G., Errico, F., Irnich, S. Schneider, M., Exact algorithms for electric vehicle-routing problems with time windows, Operations Research, 64, 1388-1405, 2016.
  • Eglese, R., Bektaş, T., Green vehicle routing. In Toth, P., Vigo, D., (Eds.), Vehicle Routing: Problems, Methods, and Applications (pp. 437--458), MOS-SIAM Series on Optimization, Philadelphia, 2014.
  • Electrification Coalition. State of the plug-in electric vehicle market, http://www.electrificationcoalition.org/sites/default/files/EC_State_of_PEV_Market 0_Final_1.pdf, 2013.
  • Erdoğan, S., Miller-Hooks, E., A green vehicle routing problem, Transportation Research Part E, 48, 100-114, 2012.
  • Eshtehadi, R., Fathian, M., Demir, E., Robust solutions to the pollution-routing problem with demand and travel time uncertainty, Transportation Research Part D, 51, 351-363, 2017.
  • FedEx, Environmental Sustainability. http://www.fedex.com/bt/about/sustainability/, 2018.
  • Felipe, A., Ortuno, M.T., Righini, G., Tirado, G., A heuristic approach for the green vehicle routing problem with multiple technologies and partial recharges, Transportation Research Part E, 71, 111-128, 2014.
  • Franceschetti, A., Honhon, D., Van Woensel, T., Bektaş, T., Laporte, G., The time-dependent pollution-routing problem. Transportation Research Part B, 56, 265-293, 2013.
  • Franceschetti, A., Demir, E., Honhon, D., Van Woensel, T., Laporte, G., Stobbe, M., A metaheuristic for the time-dependent pollution-routing problem. European Journal of Operational Research, 259, 972-991, 2017.
  • Gendreau, M., Ghiani, G., Guerriero, E., Time-dependent routing problems: A review, Computers & Operations Research, 64, 189–197, 2015.
  • Goeke, D., Schneider, M. Routing a mixed fleet of electric and conventional vehicles, European Journal of Operational Research, 245, 81-99., 2015.
  • Golden, B. L., Raghavan S., Wasil E. A., The vehicle routing problem: latest advances and new challenges, Springer, New York, 2008.
  • Hiermann, G., Puchinger, J., Ropke, S., Hartl, R. F., The electric fleet size and mix vehicle routing problem with time windows and recharging stations, European Journal of Operational Research, 252, 995-1018, 2016.
  • Juan, A. A., Mendez, C. A., Faulin, J., de Armas, J., Grasman, S. E., Electric vehicles in logistics and transportation: A survey on emerging environmental, strategic, and operational challenges, Energies, 9, 1-21, 2016.
  • Knörr, W., EcoTransIT: Ecological transport information tool – environmental methodology and data, Technical report, Institut für Energie (ifeu) und Umweldforschung Heidelberg GmbH, Germany, 2008.
  • Koç, Ç., Bektaş, T., Jabali, O., Laporte, G., The fleet size and mix pollution-routing problem, Transportation Research Part B, 70, 239–254, 2014.
  • Koç, Ç. Heterogeneous location- and pollution-routing problems, Ph.D. Thesis, University of Southampton, 2015.
  • Koç, Ç., Bektaş, T., Jabali, O., Laporte, G., A comparison of three idling options in long-haul truck scheduling, Transportation Research Part B, 93, 631-647, 2016a.
  • Koç, Ç., Bektaş, T., Jabali, O., Laporte, G., The impact of depot location, fleet composition and routing on emissions in city logistics, Transportation Research Part B, 84, 81-102, 2016b.
  • Koç, Ç., Karaoglan, I., The green vehicle routing problem: A heuristic based exact solution approach, Applied Soft Computing, 39, 154-164, 2016.
  • Kramer, R., Subramanian, A., Vidal, T., Lucídio dos Anjos, F. C., A matheuristic approach for the pollution-routing problem. European Journal of Operational Research, 243 (2), 523-539, 2015.
  • Laporte, G., Fifty years of vehicle routing, Transportation Science, 43, 408-416, 2009.
  • Lin, C., Choy, K. L., Ho, G. T. S., Chung, S. H. Lam, H. Y., Survey of Green Vehicle Routing Problem: Past and future trends, Expert Systems with Applications, 41, 1118-1138, 2014.
  • Margaritis, D., Anagnostopoulou, A., Tromaras, A., Boile, M, Electric commercial vehicles: Practical perspectives and future research directions. Research in Transportation Business & Management, 18, 4-10, 2016.
  • McKinnon, A., CO2 Emissions from freight transport in the UK, Technical Report, Prepared for the Climate Change Working Group of the Commission for Integrated Transport, London, 2007.
  • Mock, P., Yang, Z., Driving electrification: A global comparison of fiscal incentive policy for electric vehicles, The International Council on Clean Transportation, Washington DC, 2014.
  • Montoya, A., Guéret, C., Mendoza, J. E., Villegas, J. G., A multi-space sampling heuristic for the green vehicle routing problem, Transportation Research Part C, 70, 113-128, 2016.
  • Montoya, A., Guéret, C., Mendoza, J. E., Villegas, J. G., A hybrid metaheuristic for the electric vehicle routing problem with partial charging and nonlinear charging function, Transportation Research Part B, 103, 87-110, 2017.
  • Nesterova, N., Quak, H., Balm, S., Roche-Cerasi, I., Tretvik, T., Project FREVUE deliverable D1.3: State of the art of the electric freight vehicles implementation in city logistics, TNO, Delft, Netherlands, 2013.
  • Özceylan, E., Demirel, N., Çetinkaya, C., Demirel, E. A closed-loop supply chain network design for automotive industry in Turkey. Computers & Industrial Engineering, 113, 727-745, 2017.
  • Pelletier, S., Jabali, O., Laporte, G., Goods Distribution with Electric Vehicles: Review and Research Perspectives, Transportation Science 50, 3-22, 2016.
  • Sbihi, A., Eglese, R.W., Combinatorial optimization and green logistics, 4OR: A Quarterly Journal of Operations Research 5, 99–116, 2007.
  • Schneider, M., Stenger, A., Goeke, D., The electric vehicle routing problem with time windows and recharging stations, Transportation Science, 48, 500-520, 2014.
  • Taefi, T. T., Kreutzfeldt, J., Held, T., Konings, R., Kotter, R., Lilley, S., Baster, H., Comparative analysis of European examples of freight electric vehicles schemes. A systematic case study approach with examples from Denmark, Germany, the Netherlands, Sweden and the UK. Kotzab H, Pannek J, Thoben K-D, eds. Dynamics in Logistics—Proc, LDIC 2014 (Springer-Verlag, Berlin Heidelberg), 1–10, 2015.
  • Toth, P. Vigo, D., eds., Vehicle Routing: Problems, Methods, and Applications, MOS-SIAM Series on Optimization, Philadelphia, 2014.
  • U.S. DOE, The United States of America Department of Energy., Smith and Navistar electric and plug-in hybrid electric vehicle testing. Office of Energy Efficiency and Renewable Energy, National Renewable Energy Laboratory (NREL), 2013.

A Literature Review on Green and Electric Vehicle Routing Problems and Research Perspectives

Year 2018, Volume: 17 Issue: 3, 1041 - 1053, 11.07.2018
https://doi.org/10.21547/jss.404377

Abstract

In recent years, green logistics has been a popular
topic in road freight distribution. Many papers considered the reduction of
environmental effects, i.e., CO
2 emissions, of conventional
vehicles. Electric vehicles are commonly used in distribution problems which naturally
introduced a new problem called as Electric Vehicle Routing Problem (E-VRP). The
aim of this problem is to minimize the total distribution cost. In the E-VRP,
each customer is visited once by one vehicle, each route starts and ends at the
depot, vehicles can charge their batteries at charging stations, and some side constraints
are satisfied. This survey paper first reviews the studies on green Vehicle
Routing Problem, and then on the E-VRP. The paper also proposes a number of
promising research directions.

References

  • Bektaş, T., Laporte, G., The pollution-routing problem, Transportation Research Part B, 45, 1232–1250, 2011.
  • Bektaş, T., Demir, E., Laporte, G., Green vehicle routing, In Green Transportation Logistics: In Search of Win-Win Solutions, H.N. Psaraftis (Eds.), (pp. 243--265), Springer, Switzerland, 2016.
  • Clarke, G. and Wright, J. W., Scheduling of vehicles from a central depot to a number of delivery points, Operations Research, 12, 568-581, 1964.
  • Cordeau, J.-F., Laporte, G., Savelsbergh, M. W. P., Vigo, D., Vehicle routing. In: Barnhart, C. and Laporte, G. (Eds.), Transportation, Handbooks in Operations Research and Management Science, (pp 367-428), Elsevier, Amsterdam, 2007.
  • Çetinkaya, C., Özceylan, E. Üniversite Öğrencilerinin Yeşil Satın Alma Tutumlarının İncelenmesine Yönelik Bir Araştırma: Gaziantep Üniversitesi Örneği. Gaziantep University Journal of Social Sciences, 16, 289-302, 2017.
  • Dabia, S., Demir, E. Woensel, T. van., An exact approach for a variant of the pollution routing problem, Transportation Science, 51, 607-628, 2017.Dantzig, G. B., Ramser, J., The truck dispatching problem, Management Science, 6, 80-88, 1959.
  • Demir, E., Bektaş, T., Laporte, G., A comparative analysis of several vehicle emission models for road freight transportation, Transportation Research Part D 6, 347-357, 2011.
  • Demir, E., Bektaş, T., Laporte, G., An adaptive large neighborhood search heuristic for the pollution-routing problem, European Journal of Operational Research, 223, 346–359, 2012.
  • Demir, E., Bektaş, T., Laporte, G., The bi-objective pollution-routing problem, European Journal of Operational Research, 232, 464–478, 2014a.
  • Demir, E., Bektaş, T., Laporte, G., A review of recent research on green road freight transportation, European Journal of Operational Research, 237, 775–793, 2014b.
  • Demirel, N. Ömrünü Tamamlamış Araçların Geri Dönüşümünde Yükseltilmiş Yönetmelik Hedeflerini Karşılamak İçin Ağ Tasarımı ve Modellenmesi, Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, 5 (3), 223-236, 2017.
  • Desaulniers, G., Errico, F., Irnich, S. Schneider, M., Exact algorithms for electric vehicle-routing problems with time windows, Operations Research, 64, 1388-1405, 2016.
  • Eglese, R., Bektaş, T., Green vehicle routing. In Toth, P., Vigo, D., (Eds.), Vehicle Routing: Problems, Methods, and Applications (pp. 437--458), MOS-SIAM Series on Optimization, Philadelphia, 2014.
  • Electrification Coalition. State of the plug-in electric vehicle market, http://www.electrificationcoalition.org/sites/default/files/EC_State_of_PEV_Market 0_Final_1.pdf, 2013.
  • Erdoğan, S., Miller-Hooks, E., A green vehicle routing problem, Transportation Research Part E, 48, 100-114, 2012.
  • Eshtehadi, R., Fathian, M., Demir, E., Robust solutions to the pollution-routing problem with demand and travel time uncertainty, Transportation Research Part D, 51, 351-363, 2017.
  • FedEx, Environmental Sustainability. http://www.fedex.com/bt/about/sustainability/, 2018.
  • Felipe, A., Ortuno, M.T., Righini, G., Tirado, G., A heuristic approach for the green vehicle routing problem with multiple technologies and partial recharges, Transportation Research Part E, 71, 111-128, 2014.
  • Franceschetti, A., Honhon, D., Van Woensel, T., Bektaş, T., Laporte, G., The time-dependent pollution-routing problem. Transportation Research Part B, 56, 265-293, 2013.
  • Franceschetti, A., Demir, E., Honhon, D., Van Woensel, T., Laporte, G., Stobbe, M., A metaheuristic for the time-dependent pollution-routing problem. European Journal of Operational Research, 259, 972-991, 2017.
  • Gendreau, M., Ghiani, G., Guerriero, E., Time-dependent routing problems: A review, Computers & Operations Research, 64, 189–197, 2015.
  • Goeke, D., Schneider, M. Routing a mixed fleet of electric and conventional vehicles, European Journal of Operational Research, 245, 81-99., 2015.
  • Golden, B. L., Raghavan S., Wasil E. A., The vehicle routing problem: latest advances and new challenges, Springer, New York, 2008.
  • Hiermann, G., Puchinger, J., Ropke, S., Hartl, R. F., The electric fleet size and mix vehicle routing problem with time windows and recharging stations, European Journal of Operational Research, 252, 995-1018, 2016.
  • Juan, A. A., Mendez, C. A., Faulin, J., de Armas, J., Grasman, S. E., Electric vehicles in logistics and transportation: A survey on emerging environmental, strategic, and operational challenges, Energies, 9, 1-21, 2016.
  • Knörr, W., EcoTransIT: Ecological transport information tool – environmental methodology and data, Technical report, Institut für Energie (ifeu) und Umweldforschung Heidelberg GmbH, Germany, 2008.
  • Koç, Ç., Bektaş, T., Jabali, O., Laporte, G., The fleet size and mix pollution-routing problem, Transportation Research Part B, 70, 239–254, 2014.
  • Koç, Ç. Heterogeneous location- and pollution-routing problems, Ph.D. Thesis, University of Southampton, 2015.
  • Koç, Ç., Bektaş, T., Jabali, O., Laporte, G., A comparison of three idling options in long-haul truck scheduling, Transportation Research Part B, 93, 631-647, 2016a.
  • Koç, Ç., Bektaş, T., Jabali, O., Laporte, G., The impact of depot location, fleet composition and routing on emissions in city logistics, Transportation Research Part B, 84, 81-102, 2016b.
  • Koç, Ç., Karaoglan, I., The green vehicle routing problem: A heuristic based exact solution approach, Applied Soft Computing, 39, 154-164, 2016.
  • Kramer, R., Subramanian, A., Vidal, T., Lucídio dos Anjos, F. C., A matheuristic approach for the pollution-routing problem. European Journal of Operational Research, 243 (2), 523-539, 2015.
  • Laporte, G., Fifty years of vehicle routing, Transportation Science, 43, 408-416, 2009.
  • Lin, C., Choy, K. L., Ho, G. T. S., Chung, S. H. Lam, H. Y., Survey of Green Vehicle Routing Problem: Past and future trends, Expert Systems with Applications, 41, 1118-1138, 2014.
  • Margaritis, D., Anagnostopoulou, A., Tromaras, A., Boile, M, Electric commercial vehicles: Practical perspectives and future research directions. Research in Transportation Business & Management, 18, 4-10, 2016.
  • McKinnon, A., CO2 Emissions from freight transport in the UK, Technical Report, Prepared for the Climate Change Working Group of the Commission for Integrated Transport, London, 2007.
  • Mock, P., Yang, Z., Driving electrification: A global comparison of fiscal incentive policy for electric vehicles, The International Council on Clean Transportation, Washington DC, 2014.
  • Montoya, A., Guéret, C., Mendoza, J. E., Villegas, J. G., A multi-space sampling heuristic for the green vehicle routing problem, Transportation Research Part C, 70, 113-128, 2016.
  • Montoya, A., Guéret, C., Mendoza, J. E., Villegas, J. G., A hybrid metaheuristic for the electric vehicle routing problem with partial charging and nonlinear charging function, Transportation Research Part B, 103, 87-110, 2017.
  • Nesterova, N., Quak, H., Balm, S., Roche-Cerasi, I., Tretvik, T., Project FREVUE deliverable D1.3: State of the art of the electric freight vehicles implementation in city logistics, TNO, Delft, Netherlands, 2013.
  • Özceylan, E., Demirel, N., Çetinkaya, C., Demirel, E. A closed-loop supply chain network design for automotive industry in Turkey. Computers & Industrial Engineering, 113, 727-745, 2017.
  • Pelletier, S., Jabali, O., Laporte, G., Goods Distribution with Electric Vehicles: Review and Research Perspectives, Transportation Science 50, 3-22, 2016.
  • Sbihi, A., Eglese, R.W., Combinatorial optimization and green logistics, 4OR: A Quarterly Journal of Operations Research 5, 99–116, 2007.
  • Schneider, M., Stenger, A., Goeke, D., The electric vehicle routing problem with time windows and recharging stations, Transportation Science, 48, 500-520, 2014.
  • Taefi, T. T., Kreutzfeldt, J., Held, T., Konings, R., Kotter, R., Lilley, S., Baster, H., Comparative analysis of European examples of freight electric vehicles schemes. A systematic case study approach with examples from Denmark, Germany, the Netherlands, Sweden and the UK. Kotzab H, Pannek J, Thoben K-D, eds. Dynamics in Logistics—Proc, LDIC 2014 (Springer-Verlag, Berlin Heidelberg), 1–10, 2015.
  • Toth, P. Vigo, D., eds., Vehicle Routing: Problems, Methods, and Applications, MOS-SIAM Series on Optimization, Philadelphia, 2014.
  • U.S. DOE, The United States of America Department of Energy., Smith and Navistar electric and plug-in hybrid electric vehicle testing. Office of Energy Efficiency and Renewable Energy, National Renewable Energy Laboratory (NREL), 2013.
There are 47 citations in total.

Details

Primary Language Turkish
Journal Section Business
Authors

Çağrı Koç 0000-0002-7377-204X

Eren Özceylan 0000-0002-5213-6335

Publication Date July 11, 2018
Submission Date March 12, 2018
Acceptance Date July 5, 2018
Published in Issue Year 2018 Volume: 17 Issue: 3

Cite

APA Koç, Ç., & Özceylan, E. (2018). Yeşil ve Elektrikli Araç Rotalama Problemleri Üzerine bir Literatür Taraması ve Araştırma Öngörüleri. Gaziantep University Journal of Social Sciences, 17(3), 1041-1053. https://doi.org/10.21547/jss.404377