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A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics

Year 2025, Issue: PRODUCTIVITY FOR LOGISTICS, 63 - 76, 03.02.2025
https://doi.org/10.51551/verimlilik.1533127

Abstract

Purpose: With the widespread use of the Internet, electronic commerce allows customers to purchase products from the virtual stores of businesses instead of physical stores. This study addressed a mixed-integer linear programming model for a vehicle routing problem under returns and emission considerations in B2C e-commerce logistics.
Methodology: This study proposes a mathematical model to solve a variant of the vehicle routing problem. The objective is to minimize the fuel consumption cost, penalty cost for unmet demand of returned items, and fixed cost for operating a vehicle. A clustering-based solution algorithm has been introduced to solve large-sized instances within reasonable solution times.
Findings: The numerical analysis for the base case shows that the suggested model can assist decision-makers in coordinating forward distribution and reverse collection decisions within the context of sustainable e-commerce logistics. The result of the adjusted model for minimizing emission shows that a reduction of nearly 17% in total emission amount can be achieved, however, the adjusted model postpones all demand for the collection of returned items. Furthermore, the cluster-based solution approach causes a considerable decrease in solution time while providing promising solutions.
Originality: This study represents a contribution to the existing literature on the subject by considering: i) emission to determine effects on the vehicle routing problem, ii) the postponement of the collection of returned items due to the limited delivery time, iii) proposing the clustering-based solution approach to tackle with larger-sized problems.

References

  • Al Mashalah, H., Hassini, E., Gunasekaran, A. and Bhatt, D. (2022). “The Impact of Digital Transformation on Supply Chains through E-Commerce: Literature Review and A Conceptual Framework”, Transportation Research Part E: Logistics and Transportation Review, 165, 102837.
  • Apaydin, O. Gonullu, M.T. (2008). “Emission Control with Route Optimization in Solid Waste Collection Process: A Case Study”, Sadhana, 33, 71-82.
  • Barth, M., Younglove, T. and Scora, G. (2005). “Development of A Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model”, Technical Report, California Path Program Institute of Transportation Studies, University of California.
  • Bektaş, T. and Laporte, G. (2011). “The Pollution-Routing Problem”, Transportation Research Part B: Methodological, 45(8), 1232-1250.
  • Çimen, M. and Soysal, M. (2017). “Time-Dependent Green Vehicle Routing Problem with Stochastic Vehicle Speeds: An Approximate Dynamic Programming Algorithm”, Transportation Research Part D: Transport and Environment, 54, 82-98.
  • Dantzig, G.B. and Ramser, J.H. (1959). “The Truck Dispatching Problem”, Management Science, 6(1), 80-91.
  • Delfmann, W., Albers, S. and Gehring, M. (2002). “The Impact of Electronic Commerce on Logistics Service Providers”, International Journal of Physical Distribution and Logistics Management, 32(3), 203-222.
  • Demir, E., Bektaş, T. and Laporte, G. (2014). “The Bi-Objective Pollution-Routing Problem”, European Journal of Operational Research, 232(3), 464-478.
  • Dündar, H., Ömürgönülşen, M. and Soysal, M. (2021). “A Review on Sustainable Urban Vehicle Routing”, Journal of Cleaner Production, 285, 125444.
  • Erdoğan, S. and Miller-Hooks, E. (2012). “A Green Vehicle Routing Problem”, Transportation Research Part E: Logistics and Transportation Review, 48(1), 100-114.
  • EuroCommerce. (2024). “European E-Commerce Report 2023”, https://ecommerce-europe.eu/wp-content/uploads/2023/11/European-Ecommerce-Report-2023-Light-Version.pdf, (Accessed:17.06.2024)
  • Fonseca-Galindo, J. C., de Castro Surita, G., Neto, J. M., de Castro, C. L. and Lemos, A.P. (2022). “A Multi-Agent System for Solving the Dynamic Capacitated Vehicle Routing Problem with Stochastic Customers Using Trajectory Data Mining”, Expert Systems with Applications, 195, 116602.
  • Ge, X., Xue, G. and Wen, P. (2018). “Proactive Two‐Level Dynamic Distribution Routing Optimization Based on Historical Data”, Mathematical Problems in Engineering, 2018(1), 5191637.
  • Güngördü Belbağ, A. (2022). “Impacts of Covid‐19 Pandemic on Consumer Behavior in Turkey: A Qualitative Study”, Journal of Consumer Affairs, 56(1), 339-358.
  • Heshmati, S., Verstichel, J., Esprit, E. and Berghe, G.V. (2019). “Alternative E-Commerce Delivery Policies: A Case Study Concerning the Effects on Carbon Emissions”, EURO Journal on Transportation and Logistics, 8(3), 217-248.
  • Kahalimoghadam, M., Thompson, R.G. and Rajabifard, A. (2024). “Self-Adaptive Metaheuristic-based Emissions Reduction in a Collaborative Routing Problem”, Sustainable Cities and Society, 105577.
  • Kawasaki, T., Wakashima, H. and Shibasaki, R. (2022). “The Use of E-Commerce and the COVID-19 Outbreak: A Panel Data Analysis in Japan”, Transport Policy, 115, 88-100.
  • Li, Y., Guo, H., Wang, L. and Fu, J. (2013). “A Hybrid Genetic‐Simulated Annealing Algorithm for the Location‐Inventory‐Routing Problem Considering Returns under E‐Supply Chain Environment”, The Scientific World Journal, 2013(1), 125893.
  • Li, J., Zhao, Z. and Cheng, T. (2021). “Research on LRP Integration of E‐Commerce Logistics under the Background of Integration of Collection and Distribution”, Discrete Dynamics in Nature and Society, 2021(1), 6038947.
  • Liu, W. (2020). “Route Optimization for Last-Mile Distribution of Rural E-Commerce Logistics Based on Ant Colony Optimization”, IEEE Access, 8, 12179-12187.
  • Mancini, S. (2017). “The Hybrid Vehicle Routing Problem”, Transportation Research Part C: Emerging Technologies, 78, 1-12.
  • Mangiaracina, R., Marchet, G., Perotti, S. and Tumino, A. (2015). “A Review of the Environmental Implications of B2C E-Commerce: A Logistics Perspective”, International Journal of Physical Distribution & Logistics Management, 45(6), 565-591.
  • Matthews, H.S., Hendrickson, C.T. and Soh, D.L. (2001). “Environmental and Economic Effects of E-Commerce: A Case Study of Book Publishing and Retail Logistics”, Transportation Research Record, 1763(1), 6-12.
  • McKinnon, A., (2007). “CO2 Emissions from Freight Transport in the UK”, Climate Change Working Group of the Commission for Integrated Transport, https://www.researchgate.net/publication/318710769_CO_2_ Emissions_from_Freight_Transport_in_the_UK_Report_prepared_for_the_Climate_Change_Working_Grou p_of_the_Commission_for_Integrated_Transport_2007, (Accessed: 11.06.24).
  • McKinsey & Company (2021). “Efficient and Sustainable Last-Mile Logistics: Lessons from Japan”, https://www.mckinsey.com/industries/travel-logistics-and-infrastructure/our-insights/efficient-and-sustainable-last-mile-logistics-lessons-from-japan, (Accessed:17.06.2024).
  • Meyer, H. (1999). “Many Happy Returns”, The Journal of Business Strategy, 20(4), 27.
  • Moons, S., Braekers, K., Ramaekers, K., Caris, A., and Arda, Y. (2019). “The Value of Integrating Order Picking and Vehicle Routing Decisions in A B2C E-Commerce Environment”, International Journal of Production Research, 57(20), 6405-6423.
  • Muñoz-Villamizar, A., Velázquez-Martínez, J.C., Mejía-Argueta, C. and Gámez-Pérez, K. (2022). “The Impact of Shipment Consolidation Strategies for Green Home Delivery: A Case Study in A Mexican Retail Company”, International Journal of Production Research, 60(8), 2443-2460.
  • OliverWyman (2021). “Is E-commerce Good for Europe? Economic and Environmental Impact Study”, https://www.oliverwyman.com/our-expertise/insights/2021/apr/is-e-commerce-good-for-europe.html, (Accessed:18.06.2024).
  • Pollution Routing Problem Instance Library. (2024). “Data Set of the Pollution-Routing Problem”, https://www.researchgate.net/publication/283908373_, (Accessed: 11.06.2024).
  • Ranieri, L., Digiesi, S., Silvestri, B. and Roccotelli, M. (2018). “A Review of Last Mile Logistics Innovations in An Externalities Cost Reduction Vision”, Sustainability, 10(3), 782.
  • Risberg A. (2023). “A Systematic Literature Review on Ecommerce Logistics: Towards An E-Commerce and Omni-Channel Decision Framework”, The International Review of Retail, Distribution and Consumer Research, 33(1), 67-91.
  • Samut, P.K. (2023). “OECD Ülkelerinin Yeşil Lojistik Performansı ile Enerji, Sağlık Ekonomisi ve Çevre İlişkisinin Analizi”, Verimlilik Dergisi, Döngüsel Ekonomi ve Sürdürülebilirlik (SI), 67-82.
  • Seghezzi, A. and R. Mangiaracina (2021). “Investigating Multi-Parcel Crowdsourcing Logistics for B2C e-Commerce Last-Mile Deliveries”, International Journal of Logistics Research and Applications, 24(5), 456-472.
  • Silva, C., Ross, M. and Farias, T. (2009). “Evaluation of Energy Consumption, Emissions and Cost of Plug-In Hybrid Vehicles”, Energy Conversion and Management, 50(7), 1635-1643.
  • Soysal, M., Çimen, M. and Belbağ, S. (2020). “Pickup and Delivery with Electric Vehicles under Stochastic Battery Depletion”, Computers & Industrial Engineering, 146, 106512.
  • Soysal, M., Belbağ, S. and Sel, Ç. (2021). “A Closed Vendor Managed Inventory System under A Mixed Fleet of Electric and Conventional Vehicles”, Computers & Industrial Engineering, 156, 107210.
  • Sutrisno, H., Yang, C.L., 2023. “A Two-Echelon Location Routing Problem with Mobile Satellites for Last-Mile Delivery: Mathematical Formulation and Clustering-Based Heuristic Method”, Annals of Operations Research, 323(1-2), 203-228.
  • Şahinaslan, Ö., Karatas, C. and Şahinaslan, E. (2023). “Lojistik Depolarda Sipariş Toplama ve Konumlandırmaya Yönelik Yenilikçi Bir Yaklaşım”, Verimlilik Dergisi, 57(3), 491-512.
  • Tao, Y., Lin, C. and Wei, L. (2022). “Metaheuristics for A Large‐Scale Vehicle Routing Problem of Same‐Day Delivery in E‐Commerce Logistics System”, Journal of Advanced Transportation, 2022(1), 8253175.
  • Tiwari, K.V. and Sharma, S.K. (2023). “An Optimization Model for Vehicle Routing Problem in Last-Mile Delivery”, Expert Systems with Applications, 222, 119789.
  • T.C. Ticaret Bakanlığı. (2023). “Türkiye'de E-Ticaretin Görünümü Raporu”, https://ticaret.gov.tr/data/66506fa313b87685dc0dbce8/2023%20y%C4%B1l%C4%B1%20Tu%CC%88rkiye'de%20E-Ticaretin%20Go%CC%88ru%CC%88nu%CC%88mu%CC%88%20Raporu.pdf, (Accessed:10.06.2024).
  • United Nations. (2024a). “17 Sustainable Development Goals”, https://sdgs.un.org/goals, (Accessed:14.06.2024).
  • United Nations. (2024b). “The Sustainable Development Goals Report 2024”, https://unstats.un.org/sdgs/report/2024/, (Accessed: 14.06.2024
  • United Nations. (2023). “Emissions Gap Report 2023”, https://www.unep.org/resources/emissions-gap-report-2023, (Accessed: 14.06.2024).
  • UNCTAD. (2024). “Digital Economy Report 2023”, https://unctad.org/publication/digital-economy-report-2024, (Accessed:01.07.2024).
  • UNStats. (2019). “Take Urgent Action to Combat Climate Change and Its Impacts”, https://unstats.un.org/sdgs/report/2019/goal-13/#:~:text=To%20limit%20global%20warming%20to,net%20zero %20emissions%20by%202050, (Accessed: 01.07.2024).
  • Vanelslander, T., Deketele, L. and Van Hove, D. (2013). “Commonly Used E-commerce Supply Chains for Fast Moving Consumer Goods: Comparison and Suggestions for Improvement”, International Journal of Logistics, 16(3), 243-256.
  • Viu-Roig, M. and Alvarez-Palau, E.J. (2020). “The Impact of E-Commerce-Related Last-Mile Logistics on Cities: A Systematic Literature Review”, Sustainability, 12(16), 6492.
  • Wang, M., Zhang, C., Bell, M.G. and Miao, L. (2022). “A Branch-and-Price Algorithm for Location-Routing Problems with Pick-Up Stations in the Last-Mile Distribution System”, European Journal of Operational Research, 303(3), 1258-1276.
  • Wehbi, L., Bektaş, T. and Iris, Ç. (2022). “Optimising Vehicle and On-Foot Porter Routing in Urban Logistics”, Transportation Research Part D: Transport and Environment, 109, 103371.
  • Xiao, J., Li, Y., Cao, Z. and Xiao, J. (2024). “Cooperative Trucks and Drones for Rural Last-Mile Delivery with Steep Roads”, Computers & Industrial Engineering, 187, 109849.
  • Yu, X., Li, Y., Liu, J. and Zhou, H. (2024). “Solving Low-Carbon Last Mile Delivery Problem Using Discrete Marine Predators Algorithm”, Applied Soft Computing, 165, 112112.
  • Zhang, M., Pratap, S., Zhao, Z., Prajapati, D. and Huang, G.Q. (2021). “Forward and Reverse Logistics Vehicle Routing Problems with Time Horizons in B2C E-Commerce Logistics”, International Journal of Production Research, 59(20), 6291-6310.
  • Zuhanda, M.K., Suwilo, S., Sitompul, O.S., Caraka, R.E., Kim, Y. and Noh, M. (2023). “Optimization of Vehicle Routing Problem in the Context of E-commerce Logistics Distribution”, Engineering Letters, 31(1).

B2C E-Ticaret Lojistiğinde Geri Dönmüş Ürün ve Emisyonun Dikkate Alındığı Araç Rotalama Problemine İlişkin Bir Model

Year 2025, Issue: PRODUCTIVITY FOR LOGISTICS, 63 - 76, 03.02.2025
https://doi.org/10.51551/verimlilik.1533127

Abstract

Amaç: Elektronik ticaret internet kullanımının yaygınlaşması ile birlikte müşterilerin ürünleri fiziksel mağazalar yerine işletmelerin sanal mağazalarından satın almasına olanak sağlamaktadır. Bu çalışmanın amacı, B2C e-ticaret lojistiğinde iade ve emisyon hususları altında bir araç rotalama problemi için bir karma tamsayılı doğrusal programlama modeli önermektir.
Yöntem: Bu çalışma, araç rotalama probleminin bir varyantını çözmek için bir matematiksel model önermektedir. Modelin amacı, yakıt tüketim maliyetini, iade edilen ürünlerin karşılanmayan talebi için ceza maliyetini ve bir aracın işletilmesi için sabit maliyeti en aza indirmektir. Büyük boyutlu örnekleri makul çözüm süreleri içinde çözmek için kümeleme tabanlı bir çözüm algoritması önerilmektedir.
Bulgular: Örnek olay analizi için yapılan sayısal analiz, önerilen modelin sürdürülebilir e-ticaret lojistiği bağlamında ileri yönlü dağıtım ve iade toplama kararlarının koordine edilmesinde karar vericilere yardımcı olabileceğini göstermektedir. Emisyonu en aza indirmeye yönelik düzenlenmiş modelin sonucu, toplam emisyon miktarında yaklaşık %17'lik bir azalma sağlanabileceğini göstermektedir, ancak düzenlenmiş model iade edilen ürünlerin toplanması için olan tüm talebi ertelemektedir. Ayrıca, küme tabanlı çözüm yaklaşımı umut verici çözümler sunarken çözüm süresinde önemli bir azalmaya neden olmaktadır.
Özgünlük: Bu çalışma, i) emisyonun araç rotalama problemi üzerindeki etkileri belirlenmesini, ii) sınırlı teslimat süresi nedeniyle iade edilen ürünlerin toplanmasının ertelenmesini, iii) daha büyük boyutlu problemlerle başa çıkmak için kümeleme tabanlı çözüm yaklaşımını önererek konuyla ilgili mevcut literatüre bir katkı sunmaktadır.

References

  • Al Mashalah, H., Hassini, E., Gunasekaran, A. and Bhatt, D. (2022). “The Impact of Digital Transformation on Supply Chains through E-Commerce: Literature Review and A Conceptual Framework”, Transportation Research Part E: Logistics and Transportation Review, 165, 102837.
  • Apaydin, O. Gonullu, M.T. (2008). “Emission Control with Route Optimization in Solid Waste Collection Process: A Case Study”, Sadhana, 33, 71-82.
  • Barth, M., Younglove, T. and Scora, G. (2005). “Development of A Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model”, Technical Report, California Path Program Institute of Transportation Studies, University of California.
  • Bektaş, T. and Laporte, G. (2011). “The Pollution-Routing Problem”, Transportation Research Part B: Methodological, 45(8), 1232-1250.
  • Çimen, M. and Soysal, M. (2017). “Time-Dependent Green Vehicle Routing Problem with Stochastic Vehicle Speeds: An Approximate Dynamic Programming Algorithm”, Transportation Research Part D: Transport and Environment, 54, 82-98.
  • Dantzig, G.B. and Ramser, J.H. (1959). “The Truck Dispatching Problem”, Management Science, 6(1), 80-91.
  • Delfmann, W., Albers, S. and Gehring, M. (2002). “The Impact of Electronic Commerce on Logistics Service Providers”, International Journal of Physical Distribution and Logistics Management, 32(3), 203-222.
  • Demir, E., Bektaş, T. and Laporte, G. (2014). “The Bi-Objective Pollution-Routing Problem”, European Journal of Operational Research, 232(3), 464-478.
  • Dündar, H., Ömürgönülşen, M. and Soysal, M. (2021). “A Review on Sustainable Urban Vehicle Routing”, Journal of Cleaner Production, 285, 125444.
  • Erdoğan, S. and Miller-Hooks, E. (2012). “A Green Vehicle Routing Problem”, Transportation Research Part E: Logistics and Transportation Review, 48(1), 100-114.
  • EuroCommerce. (2024). “European E-Commerce Report 2023”, https://ecommerce-europe.eu/wp-content/uploads/2023/11/European-Ecommerce-Report-2023-Light-Version.pdf, (Accessed:17.06.2024)
  • Fonseca-Galindo, J. C., de Castro Surita, G., Neto, J. M., de Castro, C. L. and Lemos, A.P. (2022). “A Multi-Agent System for Solving the Dynamic Capacitated Vehicle Routing Problem with Stochastic Customers Using Trajectory Data Mining”, Expert Systems with Applications, 195, 116602.
  • Ge, X., Xue, G. and Wen, P. (2018). “Proactive Two‐Level Dynamic Distribution Routing Optimization Based on Historical Data”, Mathematical Problems in Engineering, 2018(1), 5191637.
  • Güngördü Belbağ, A. (2022). “Impacts of Covid‐19 Pandemic on Consumer Behavior in Turkey: A Qualitative Study”, Journal of Consumer Affairs, 56(1), 339-358.
  • Heshmati, S., Verstichel, J., Esprit, E. and Berghe, G.V. (2019). “Alternative E-Commerce Delivery Policies: A Case Study Concerning the Effects on Carbon Emissions”, EURO Journal on Transportation and Logistics, 8(3), 217-248.
  • Kahalimoghadam, M., Thompson, R.G. and Rajabifard, A. (2024). “Self-Adaptive Metaheuristic-based Emissions Reduction in a Collaborative Routing Problem”, Sustainable Cities and Society, 105577.
  • Kawasaki, T., Wakashima, H. and Shibasaki, R. (2022). “The Use of E-Commerce and the COVID-19 Outbreak: A Panel Data Analysis in Japan”, Transport Policy, 115, 88-100.
  • Li, Y., Guo, H., Wang, L. and Fu, J. (2013). “A Hybrid Genetic‐Simulated Annealing Algorithm for the Location‐Inventory‐Routing Problem Considering Returns under E‐Supply Chain Environment”, The Scientific World Journal, 2013(1), 125893.
  • Li, J., Zhao, Z. and Cheng, T. (2021). “Research on LRP Integration of E‐Commerce Logistics under the Background of Integration of Collection and Distribution”, Discrete Dynamics in Nature and Society, 2021(1), 6038947.
  • Liu, W. (2020). “Route Optimization for Last-Mile Distribution of Rural E-Commerce Logistics Based on Ant Colony Optimization”, IEEE Access, 8, 12179-12187.
  • Mancini, S. (2017). “The Hybrid Vehicle Routing Problem”, Transportation Research Part C: Emerging Technologies, 78, 1-12.
  • Mangiaracina, R., Marchet, G., Perotti, S. and Tumino, A. (2015). “A Review of the Environmental Implications of B2C E-Commerce: A Logistics Perspective”, International Journal of Physical Distribution & Logistics Management, 45(6), 565-591.
  • Matthews, H.S., Hendrickson, C.T. and Soh, D.L. (2001). “Environmental and Economic Effects of E-Commerce: A Case Study of Book Publishing and Retail Logistics”, Transportation Research Record, 1763(1), 6-12.
  • McKinnon, A., (2007). “CO2 Emissions from Freight Transport in the UK”, Climate Change Working Group of the Commission for Integrated Transport, https://www.researchgate.net/publication/318710769_CO_2_ Emissions_from_Freight_Transport_in_the_UK_Report_prepared_for_the_Climate_Change_Working_Grou p_of_the_Commission_for_Integrated_Transport_2007, (Accessed: 11.06.24).
  • McKinsey & Company (2021). “Efficient and Sustainable Last-Mile Logistics: Lessons from Japan”, https://www.mckinsey.com/industries/travel-logistics-and-infrastructure/our-insights/efficient-and-sustainable-last-mile-logistics-lessons-from-japan, (Accessed:17.06.2024).
  • Meyer, H. (1999). “Many Happy Returns”, The Journal of Business Strategy, 20(4), 27.
  • Moons, S., Braekers, K., Ramaekers, K., Caris, A., and Arda, Y. (2019). “The Value of Integrating Order Picking and Vehicle Routing Decisions in A B2C E-Commerce Environment”, International Journal of Production Research, 57(20), 6405-6423.
  • Muñoz-Villamizar, A., Velázquez-Martínez, J.C., Mejía-Argueta, C. and Gámez-Pérez, K. (2022). “The Impact of Shipment Consolidation Strategies for Green Home Delivery: A Case Study in A Mexican Retail Company”, International Journal of Production Research, 60(8), 2443-2460.
  • OliverWyman (2021). “Is E-commerce Good for Europe? Economic and Environmental Impact Study”, https://www.oliverwyman.com/our-expertise/insights/2021/apr/is-e-commerce-good-for-europe.html, (Accessed:18.06.2024).
  • Pollution Routing Problem Instance Library. (2024). “Data Set of the Pollution-Routing Problem”, https://www.researchgate.net/publication/283908373_, (Accessed: 11.06.2024).
  • Ranieri, L., Digiesi, S., Silvestri, B. and Roccotelli, M. (2018). “A Review of Last Mile Logistics Innovations in An Externalities Cost Reduction Vision”, Sustainability, 10(3), 782.
  • Risberg A. (2023). “A Systematic Literature Review on Ecommerce Logistics: Towards An E-Commerce and Omni-Channel Decision Framework”, The International Review of Retail, Distribution and Consumer Research, 33(1), 67-91.
  • Samut, P.K. (2023). “OECD Ülkelerinin Yeşil Lojistik Performansı ile Enerji, Sağlık Ekonomisi ve Çevre İlişkisinin Analizi”, Verimlilik Dergisi, Döngüsel Ekonomi ve Sürdürülebilirlik (SI), 67-82.
  • Seghezzi, A. and R. Mangiaracina (2021). “Investigating Multi-Parcel Crowdsourcing Logistics for B2C e-Commerce Last-Mile Deliveries”, International Journal of Logistics Research and Applications, 24(5), 456-472.
  • Silva, C., Ross, M. and Farias, T. (2009). “Evaluation of Energy Consumption, Emissions and Cost of Plug-In Hybrid Vehicles”, Energy Conversion and Management, 50(7), 1635-1643.
  • Soysal, M., Çimen, M. and Belbağ, S. (2020). “Pickup and Delivery with Electric Vehicles under Stochastic Battery Depletion”, Computers & Industrial Engineering, 146, 106512.
  • Soysal, M., Belbağ, S. and Sel, Ç. (2021). “A Closed Vendor Managed Inventory System under A Mixed Fleet of Electric and Conventional Vehicles”, Computers & Industrial Engineering, 156, 107210.
  • Sutrisno, H., Yang, C.L., 2023. “A Two-Echelon Location Routing Problem with Mobile Satellites for Last-Mile Delivery: Mathematical Formulation and Clustering-Based Heuristic Method”, Annals of Operations Research, 323(1-2), 203-228.
  • Şahinaslan, Ö., Karatas, C. and Şahinaslan, E. (2023). “Lojistik Depolarda Sipariş Toplama ve Konumlandırmaya Yönelik Yenilikçi Bir Yaklaşım”, Verimlilik Dergisi, 57(3), 491-512.
  • Tao, Y., Lin, C. and Wei, L. (2022). “Metaheuristics for A Large‐Scale Vehicle Routing Problem of Same‐Day Delivery in E‐Commerce Logistics System”, Journal of Advanced Transportation, 2022(1), 8253175.
  • Tiwari, K.V. and Sharma, S.K. (2023). “An Optimization Model for Vehicle Routing Problem in Last-Mile Delivery”, Expert Systems with Applications, 222, 119789.
  • T.C. Ticaret Bakanlığı. (2023). “Türkiye'de E-Ticaretin Görünümü Raporu”, https://ticaret.gov.tr/data/66506fa313b87685dc0dbce8/2023%20y%C4%B1l%C4%B1%20Tu%CC%88rkiye'de%20E-Ticaretin%20Go%CC%88ru%CC%88nu%CC%88mu%CC%88%20Raporu.pdf, (Accessed:10.06.2024).
  • United Nations. (2024a). “17 Sustainable Development Goals”, https://sdgs.un.org/goals, (Accessed:14.06.2024).
  • United Nations. (2024b). “The Sustainable Development Goals Report 2024”, https://unstats.un.org/sdgs/report/2024/, (Accessed: 14.06.2024
  • United Nations. (2023). “Emissions Gap Report 2023”, https://www.unep.org/resources/emissions-gap-report-2023, (Accessed: 14.06.2024).
  • UNCTAD. (2024). “Digital Economy Report 2023”, https://unctad.org/publication/digital-economy-report-2024, (Accessed:01.07.2024).
  • UNStats. (2019). “Take Urgent Action to Combat Climate Change and Its Impacts”, https://unstats.un.org/sdgs/report/2019/goal-13/#:~:text=To%20limit%20global%20warming%20to,net%20zero %20emissions%20by%202050, (Accessed: 01.07.2024).
  • Vanelslander, T., Deketele, L. and Van Hove, D. (2013). “Commonly Used E-commerce Supply Chains for Fast Moving Consumer Goods: Comparison and Suggestions for Improvement”, International Journal of Logistics, 16(3), 243-256.
  • Viu-Roig, M. and Alvarez-Palau, E.J. (2020). “The Impact of E-Commerce-Related Last-Mile Logistics on Cities: A Systematic Literature Review”, Sustainability, 12(16), 6492.
  • Wang, M., Zhang, C., Bell, M.G. and Miao, L. (2022). “A Branch-and-Price Algorithm for Location-Routing Problems with Pick-Up Stations in the Last-Mile Distribution System”, European Journal of Operational Research, 303(3), 1258-1276.
  • Wehbi, L., Bektaş, T. and Iris, Ç. (2022). “Optimising Vehicle and On-Foot Porter Routing in Urban Logistics”, Transportation Research Part D: Transport and Environment, 109, 103371.
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There are 55 citations in total.

Details

Primary Language English
Subjects Logistics
Journal Section Araştırma Makalesi
Authors

Sedat Belbağ 0000-0002-4136-2468

Publication Date February 3, 2025
Submission Date August 14, 2024
Acceptance Date December 29, 2024
Published in Issue Year 2025 Issue: PRODUCTIVITY FOR LOGISTICS

Cite

APA Belbağ, S. (2025). A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics. Verimlilik Dergisi(PRODUCTIVITY FOR LOGISTICS), 63-76. https://doi.org/10.51551/verimlilik.1533127

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22408 Journal of Productivity is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)