How to cite this paper
Pourmohammadreza, N & Jokar, M. (2024). Efficient last-mile logistics with service options: A multi-criteria decision-making and optimization methodology.International Journal of Industrial Engineering Computations , 15(2), 367-386.
Refrences
Allen, J., Piecyk, M., Piotrowska, M., McLeod, F., Cherrett, T., Ghali, K., Nguyen, T., Bektas, T., Bates, O., & Friday, A. (2018). Understanding the impact of e-commerce on last-mile light goods vehicle activity in urban areas: The case of London. Transportation Research Part D: Transport and Environment, 61, 325–338.
Ancele, Y., Hà, M. H., Lersteau, C., Matellini, D. Ben, & Nguyen, T. T. (2021). Toward a more flexible VRP with pickup and delivery allowing consolidations. Transportation Research Part C: Emerging Technologies, 128, 103077.
Ataei, Y., Mahmoudi, A., Feylizadeh, M. R., & Li, D.-F. (2020). Ordinal priority approach (OPA) in multiple attribute decision-making. Applied Soft Computing, 86, 105893.
Berahhou, A., Benadada, Y., & Bouanane, K. (2022). Memetic algorithm for the dynamic vehicle routing problem with simultaneous delivery and pickup. International Journal of Industrial Engineering Computations, 13(4), 587–600.
Boysen, N., Fedtke, S., & Schwerdfeger, S. (2021). Last-mile delivery concepts: a survey from an operational research perspective. Or Spectrum, 43, 1–58.
Buzzega, G., & Novellani, S. (2022). Last mile deliveries with lockers: formulations and algorithms. Soft Computing, 1–19.
Capgemini. (2017). Last-Mile Delivery Challenge: Giving retail and consumer product customers a superior delivery experience without impacting profitability.
Cardenas, I., Borbon-Galvez, Y., Verlinden, T., Van de Voorde, E., Vanelslander, T., & Dewulf, W. (2017). City logistics, urban goods distribution and last mile delivery and collection. Competition and Regulation in Network Industries, 18(1–2), 22–43.
Charnes, A., & Cooper, W. W. (1977). Goal programming and multiple objective optimizations: Part 1. European Journal of Operational Research, 1(1), 39–54.
Chen, C., & Pan, S. (2016). Using the Crowd of Taxis to Last Mile Delivery in E-Commerce: a methodological research. Service Orientation in Holonic and Multi-Agent Manufacturing, 61–70.
Christopher, M. (1999). Logistics and Supply Chain Management: Strategies for Reducing Cost and Improving Service Financial Times: Pitman Publishing. London, 1998 ISBN 0 273 63049 0 (hardback) 294+ 1× pp. Taylor & Francis.
Company, M. &. (2016). Parcel delivery: The future of last mile.
Cortes, J. D., & Suzuki, Y. (2022). Last-mile delivery efficiency: en route transloading in the parcel delivery industry. International Journal of Production Research, 60(9), 2983–3000.
Dell’Amico, M., & Hadjidimitriou, S. (2012). Innovative logistics model and containers solution for efficient last mile delivery. Procedia-Social and Behavioral Sciences, 48, 1505–1514.
Digital Commerce 360. (2020). US E-Commerce Sales Grow 32.4% in Q2 amid the COVID-19 Pandemic.
Dragomir, A. G., Van Woensel, T., & Doerner, K. F. (2022). The pickup and delivery problem with alternative locations and overlapping time windows. Computers & Operations Research, 143, 105758.
Dumez, D., Lehuédé, F., & Péton, O. (2021). A large neighborhood search approach to the vehicle routing problem with delivery options. Transportation Research Part B: Methodological, 144, 103–132.
Enthoven, D. L. J. U., Jargalsaikhan, B., Roodbergen, K. J., Uit het Broek, M. A. J., & Schrotenboer, A. H. (2020). The two-echelon vehicle routing problem with covering options: City logistics with cargo bikes and parcel lockers. Computers & Operations Research, 118, 104919.
Eydi, A., & Ghasemi-Nezhad, S. A. (2021). A bi-objective vehicle routing problem with time windows and multiple demands. Ain Shams Engineering Journal, 12(3), 2617–2630.
Faugere, L., & Montreuil, B. (2017). Hyperconnected pickup & delivery locker networks. Proceedings of the 4th International Physical Internet Conference, 6, 1–14.
Ferrer, J. M., Martín-Campo, F. J., Ortuño, M. T., Pedraza-Martínez, A. J., Tirado, G., & Vitoriano, B. (2018). Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications. European Journal of Operational Research, 269(2), 501–515.
Friedrich, C., & Elbert, R. (2022). Adaptive large neighborhood search for vehicle routing problems with transshipment facilities arising in city logistics. Computers & Operations Research, 137, 105491.
Grabenschweiger, J., Doerner, K. F., Hartl, R. F., & Savelsbergh, M. W. P. (2021). The vehicle routing problem with heterogeneous locker boxes. Central European Journal of Operations Research, 29(1), 113–142.
Halldórsson, Á., & Wehner, J. (2020). Last-mile logistics fulfilment: A framework for energy efficiency. Research in Transportation Business & Management, 37, 100481.
Hasanpour Jesri, Z. S., Eshghi, K., Rafiee, M., & Van Woensel, T. (2022). The Multi-Depot Traveling Purchaser Problem with Shared Resources. Sustainability, 14(16), 10190.
He, Y., Qi, M., Zhou, F., & Su, J. (2020). An effective metaheuristic for the last mile delivery with roaming delivery locations and stochastic travel times. Computers & Industrial Engineering, 145, 106513.
He, Y., Wang, X., Zhou, F., & Lin, Y. (2019). Dynamic vehicle routing problem considering simultaneous dual services in the last mile delivery. Kybernetes.
Heng, C. K., Zhang, A. N., Tan, P. S., & Ong, Y.-S. (2015). Multi-objective heterogeneous capacitated vehicle routing problem with time windows and simultaneous pickup and delivery for urban last mile logistics. Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1, 129–140.
Iwan, S., Kijewska, K., & Lemke, J. (2016). Analysis of parcel lockers’ efficiency as the last mile delivery solution–the results of the research in Poland. Transportation Research Procedia, 12, 644–655.
Janinhoff, L., Klein, R., & Scholz, D. (2022). Multitrip Vehicle Routing with Delivery Options: A Data-Driven Application to the Parcel Industry. Available at SSRN 4130046.
Jiang, J., Dai, Y., Yang, F., & Ma, Z. (2024). A multi-visit flexible-docking vehicle routing problem with drones for simultaneous pickup and delivery services. European Journal of Operational Research, 312(1), 125–137.
Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435–451.
Kwak, S.-Y., & Kim, M.-J. (2018). A Study on the Selection Criteria of Delivery Method for Korean Cross-border E-commerce Companies Using AHP (Analytic Hierarchy Process). Journal of International Trade & Commerce, 14(2), 127–142.
Lagorio, A., & Pinto, R. (2020). The parcel locker location issues: An overview of factors affecting their location. Proceedings of the 8th International Conference on Information Systems, Logistics and Supply Chain: Interconnected Supply Chains in an Era of Innovation, ILS, 414–421.
Lai, P.-L., Jang, H., Fang, M., & Peng, K. (2022). Determinants of customer satisfaction with parcel locker services in last-mile logistics. The Asian Journal of Shipping and Logistics, 38(1), 25–30.
Le, D. N., Nguyen, H. T., & Truong, P. H. (2020). Port logistics service quality and customer satisfaction: Empirical evidence from Vietnam. The Asian Journal of Shipping and Logistics, 36(2), 89–103.
Lee, Y., Choi, S., & Field, J. M. (2020). Development and validation of the pick-up service quality scale of the buy-online-pick-up-in-store service. Operations Management Research, 13, 218–232.
Lemke, J., Iwan, S., & Korczak, J. (2016). Usability of the parcel lockers from the customer perspective–the research in Polish Cities. Transportation Research Procedia, 16, 272–287.
Lim, S. F. W. T., Jin, X., & Srai, J. S. (2018). Consumer-driven e-commerce: A literature review, design framework, and research agenda on last-mile logistics models. International Journal of Physical Distribution & Logistics Management, 48(3), 308–332.
Lombard, A., Tamayo-Giraldo, S., & Fontane, F. (2018). Vehicle routing problem with roaming delivery locations and stochastic travel times (VRPRDL-S). Transportation Research Procedia, 30, 167–177.
Los, J., Spaan, M. T. J., & Negenborn, R. R. (2018). Fleet management for pickup and delivery problems with multiple locations and preferences. International Conference on Dynamics in Logistics, 86–94.
Mancini, S., & Gansterer, M. (2021). Vehicle routing with private and shared delivery locations. Computers & Operations Research, 133, 105361.
Melián-Batista, B., De Santiago, A., AngelBello, F., & Alvarez, A. (2014). A bi-objective vehicle routing problem with time windows: A real case in Tenerife. Applied Soft Computing, 17, 140–152.
Melkonyan, A., Gruchmann, T., Lohmar, F., Kamath, V., & Spinler, S. (2020). Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks. International Journal of Production Economics, 228, 107746.
Messac, A., & Mattson, C. A. (2004). Normal Constraint Method with Guarantee of Even Representation of Complete Pareto Frontier. AIAA Journal, 42(10), 2101–2111. https://doi.org/10.2514/1.8977
Moghaddam, B. F., Ruiz, R., & Sadjadi, S. J. (2012). Vehicle routing problem with uncertain demands: An advanced particle swarm algorithm. Computers & Industrial Engineering, 62(1), 306–317.
Niemeijer, R., & Buijs, P. (2023). A greener last mile: Analyzing the carbon emission impact of pickup points in last-mile parcel delivery. Renewable and Sustainable Energy Reviews, 186, 113630.
Orenstein, I., Raviv, T., & Sadan, E. (2019). Flexible parcel delivery to automated parcel lockers: models, solution methods and analysis. EURO Journal on Transportation and Logistics, 8(5), 683–711.
Ozbaygin, G., Karasan, O. E., Savelsbergh, M., & Yaman, H. (2017). A branch-and-price algorithm for the vehicle routing problem with roaming delivery locations. Transportation Research Part B: Methodological, 100, 115–137.
Pourmohammadreza, N., & Jokar, M. R. A. (2023). A Novel Two-Phase Approach for Optimization of the Last-Mile Delivery Problem with Service Options. Sustainability, 15(10), 8098.
Ranieri, L., Digiesi, S., Silvestri, B., & Roccotelli, M. (2018). A review of last mile logistics innovations in an externalities cost reduction vision. Sustainability, 10(3), 782.
Reinhelt, G. (2014). {TSPLIB}: a library of sample instances for the TSP (and related problems) from various sources and of various types. URL: Http://Comopt. Ifi. Uniheidelberg. de/Software/TSPLIB95.
Research and Markets. (2020). Last Mile Delivery Market - Growth, Trends, and Forecast (2020 - 2025).
Reyes, D., Savelsbergh, M., & Toriello, A. (2017). Vehicle routing with roaming delivery locations. Transportation Research Part C: Emerging Technologies, 80, 71–91.
Sampaio, A., Kinable, J., Veelenturf, L. P., & Van Woensel, T. (2019). A scenario-based approach for the vehicle routing problem with roaming delivery locations under stochastic travel times. Optim. Online.
Savelsbergh, M., & Van Woensel, T. (2016). 50th anniversary invited article—city logistics: Challenges and opportunities. Transportation Science, 50(2), 579–590.
Schwerdfeger, S., & Boysen, N. (2020). Optimizing the changing locations of mobile parcel lockers in last-mile distribution. European Journal of Operational Research, 285(3), 1077–1094.
Seghezzi, A., Siragusa, C., & Mangiaracina, R. (2022). Parcel lockers vs. home delivery: a model to compare last-mile delivery cost in urban and rural areas. International Journal of Physical Distribution & Logistics Management, 52(3), 213–237.
Sitek, P., & Wikarek, J. (2019). Capacitated vehicle routing problem with pick-up and alternative delivery (CVRPPAD): model and implementation using hybrid approach. Annals of Operations Research, 273(1), 257–277.
Sitek, P., Wikarek, J., Rutczyńska-Wdowiak, K., Bocewicz, G., & Banaszak, Z. (2021). Optimization of capacitated vehicle routing problem with alternative delivery, pick-up and time windows: A modified hybrid approach. Neurocomputing, 423, 670–678.
Stašys, R., Švažė, D., & Klimas, E. (2022). The main reasons for customer satisfaction with parcel locker services: the case of Lithuania. Regional Formation and Development Studies: Journal of Social Sciences, 2, 175–187.
Tang, Y. M., Chau, K. Y., Xu, D., & Liu, X. (2021). Consumer perceptions to support IoT based smart parcel locker logistics in China. Journal of Retailing and Consumer Services, 62, 102659.
Tedjo, A. T., Tee, P. K., & Ahmad, R. (2022). A Study on the Factors Boosting Customer Experience in the Adoption of Smart Locker in Klang Valley.
Tilk, C., Olkis, K., & Irnich, S. (2021). The last-mile vehicle routing problem with delivery options. OR Spectrum, 43(4), 877–904.
Wang, L., Xu, M., & Qin, H. (2023). Joint optimization of parcel allocation and crowd routing for crowdsourced last-mile delivery. Transportation Research Part B: Methodological, 171, 111–135.
Wang, Y., Zhang, Y., Bi, M., Lai, J., & Chen, Y. (2022). A Robust Optimization Method for Location Selection of Parcel Lockers under Uncertain Demands. Mathematics, 10(22), 4289.
Yang, F., Dai, Y., & Ma, Z.-J. (2020). A cooperative rich vehicle routing problem in the last-mile logistics industry in rural areas. Transportation Research Part E: Logistics and Transportation Review, 141, 102024.
Yavari, A., Bagha, H., Korala, H., Mirza, I., Dia, H., Scifleet, P., Sargent, J., & Shafiei, M. (2022). ParcEMon: IoT Platform for Real-Time Parcel Level Last-Mile Delivery Greenhouse Gas Emissions Reporting and Management. Sensors, 22(19), 7380.
Yu, B., & Du, G. (2013). Research on fuzzy evaluation of online shopping express service quality based on SERVQUAL model. Ind. Eng, 2, 127–133.
Yu, V. F., Susanto, H., Yeh, Y.-H., Lin, S.-W., & Huang, Y.-T. (2022). The Vehicle Routing Problem with Simultaneous Pickup and Delivery and Parcel Lockers. Mathematics, 10(6), 920.
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Zhou, L., Baldacci, R., Vigo, D., & Wang, X. (2018). A multi-depot two-echelon vehicle routing problem with delivery options arising in the last mile distribution. European Journal of Operational Research, 265(2), 765–778.
Zhou, L., Wang, X., Ni, L., & Lin, Y. (2016). Location-routing problem with simultaneous home delivery and customer’s pickup for city distribution of online shopping purchases. Sustainability, 8(8), 828.
Ancele, Y., Hà, M. H., Lersteau, C., Matellini, D. Ben, & Nguyen, T. T. (2021). Toward a more flexible VRP with pickup and delivery allowing consolidations. Transportation Research Part C: Emerging Technologies, 128, 103077.
Ataei, Y., Mahmoudi, A., Feylizadeh, M. R., & Li, D.-F. (2020). Ordinal priority approach (OPA) in multiple attribute decision-making. Applied Soft Computing, 86, 105893.
Berahhou, A., Benadada, Y., & Bouanane, K. (2022). Memetic algorithm for the dynamic vehicle routing problem with simultaneous delivery and pickup. International Journal of Industrial Engineering Computations, 13(4), 587–600.
Boysen, N., Fedtke, S., & Schwerdfeger, S. (2021). Last-mile delivery concepts: a survey from an operational research perspective. Or Spectrum, 43, 1–58.
Buzzega, G., & Novellani, S. (2022). Last mile deliveries with lockers: formulations and algorithms. Soft Computing, 1–19.
Capgemini. (2017). Last-Mile Delivery Challenge: Giving retail and consumer product customers a superior delivery experience without impacting profitability.
Cardenas, I., Borbon-Galvez, Y., Verlinden, T., Van de Voorde, E., Vanelslander, T., & Dewulf, W. (2017). City logistics, urban goods distribution and last mile delivery and collection. Competition and Regulation in Network Industries, 18(1–2), 22–43.
Charnes, A., & Cooper, W. W. (1977). Goal programming and multiple objective optimizations: Part 1. European Journal of Operational Research, 1(1), 39–54.
Chen, C., & Pan, S. (2016). Using the Crowd of Taxis to Last Mile Delivery in E-Commerce: a methodological research. Service Orientation in Holonic and Multi-Agent Manufacturing, 61–70.
Christopher, M. (1999). Logistics and Supply Chain Management: Strategies for Reducing Cost and Improving Service Financial Times: Pitman Publishing. London, 1998 ISBN 0 273 63049 0 (hardback) 294+ 1× pp. Taylor & Francis.
Company, M. &. (2016). Parcel delivery: The future of last mile.
Cortes, J. D., & Suzuki, Y. (2022). Last-mile delivery efficiency: en route transloading in the parcel delivery industry. International Journal of Production Research, 60(9), 2983–3000.
Dell’Amico, M., & Hadjidimitriou, S. (2012). Innovative logistics model and containers solution for efficient last mile delivery. Procedia-Social and Behavioral Sciences, 48, 1505–1514.
Digital Commerce 360. (2020). US E-Commerce Sales Grow 32.4% in Q2 amid the COVID-19 Pandemic.
Dragomir, A. G., Van Woensel, T., & Doerner, K. F. (2022). The pickup and delivery problem with alternative locations and overlapping time windows. Computers & Operations Research, 143, 105758.
Dumez, D., Lehuédé, F., & Péton, O. (2021). A large neighborhood search approach to the vehicle routing problem with delivery options. Transportation Research Part B: Methodological, 144, 103–132.
Enthoven, D. L. J. U., Jargalsaikhan, B., Roodbergen, K. J., Uit het Broek, M. A. J., & Schrotenboer, A. H. (2020). The two-echelon vehicle routing problem with covering options: City logistics with cargo bikes and parcel lockers. Computers & Operations Research, 118, 104919.
Eydi, A., & Ghasemi-Nezhad, S. A. (2021). A bi-objective vehicle routing problem with time windows and multiple demands. Ain Shams Engineering Journal, 12(3), 2617–2630.
Faugere, L., & Montreuil, B. (2017). Hyperconnected pickup & delivery locker networks. Proceedings of the 4th International Physical Internet Conference, 6, 1–14.
Ferrer, J. M., Martín-Campo, F. J., Ortuño, M. T., Pedraza-Martínez, A. J., Tirado, G., & Vitoriano, B. (2018). Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications. European Journal of Operational Research, 269(2), 501–515.
Friedrich, C., & Elbert, R. (2022). Adaptive large neighborhood search for vehicle routing problems with transshipment facilities arising in city logistics. Computers & Operations Research, 137, 105491.
Grabenschweiger, J., Doerner, K. F., Hartl, R. F., & Savelsbergh, M. W. P. (2021). The vehicle routing problem with heterogeneous locker boxes. Central European Journal of Operations Research, 29(1), 113–142.
Halldórsson, Á., & Wehner, J. (2020). Last-mile logistics fulfilment: A framework for energy efficiency. Research in Transportation Business & Management, 37, 100481.
Hasanpour Jesri, Z. S., Eshghi, K., Rafiee, M., & Van Woensel, T. (2022). The Multi-Depot Traveling Purchaser Problem with Shared Resources. Sustainability, 14(16), 10190.
He, Y., Qi, M., Zhou, F., & Su, J. (2020). An effective metaheuristic for the last mile delivery with roaming delivery locations and stochastic travel times. Computers & Industrial Engineering, 145, 106513.
He, Y., Wang, X., Zhou, F., & Lin, Y. (2019). Dynamic vehicle routing problem considering simultaneous dual services in the last mile delivery. Kybernetes.
Heng, C. K., Zhang, A. N., Tan, P. S., & Ong, Y.-S. (2015). Multi-objective heterogeneous capacitated vehicle routing problem with time windows and simultaneous pickup and delivery for urban last mile logistics. Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1, 129–140.
Iwan, S., Kijewska, K., & Lemke, J. (2016). Analysis of parcel lockers’ efficiency as the last mile delivery solution–the results of the research in Poland. Transportation Research Procedia, 12, 644–655.
Janinhoff, L., Klein, R., & Scholz, D. (2022). Multitrip Vehicle Routing with Delivery Options: A Data-Driven Application to the Parcel Industry. Available at SSRN 4130046.
Jiang, J., Dai, Y., Yang, F., & Ma, Z. (2024). A multi-visit flexible-docking vehicle routing problem with drones for simultaneous pickup and delivery services. European Journal of Operational Research, 312(1), 125–137.
Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435–451.
Kwak, S.-Y., & Kim, M.-J. (2018). A Study on the Selection Criteria of Delivery Method for Korean Cross-border E-commerce Companies Using AHP (Analytic Hierarchy Process). Journal of International Trade & Commerce, 14(2), 127–142.
Lagorio, A., & Pinto, R. (2020). The parcel locker location issues: An overview of factors affecting their location. Proceedings of the 8th International Conference on Information Systems, Logistics and Supply Chain: Interconnected Supply Chains in an Era of Innovation, ILS, 414–421.
Lai, P.-L., Jang, H., Fang, M., & Peng, K. (2022). Determinants of customer satisfaction with parcel locker services in last-mile logistics. The Asian Journal of Shipping and Logistics, 38(1), 25–30.
Le, D. N., Nguyen, H. T., & Truong, P. H. (2020). Port logistics service quality and customer satisfaction: Empirical evidence from Vietnam. The Asian Journal of Shipping and Logistics, 36(2), 89–103.
Lee, Y., Choi, S., & Field, J. M. (2020). Development and validation of the pick-up service quality scale of the buy-online-pick-up-in-store service. Operations Management Research, 13, 218–232.
Lemke, J., Iwan, S., & Korczak, J. (2016). Usability of the parcel lockers from the customer perspective–the research in Polish Cities. Transportation Research Procedia, 16, 272–287.
Lim, S. F. W. T., Jin, X., & Srai, J. S. (2018). Consumer-driven e-commerce: A literature review, design framework, and research agenda on last-mile logistics models. International Journal of Physical Distribution & Logistics Management, 48(3), 308–332.
Lombard, A., Tamayo-Giraldo, S., & Fontane, F. (2018). Vehicle routing problem with roaming delivery locations and stochastic travel times (VRPRDL-S). Transportation Research Procedia, 30, 167–177.
Los, J., Spaan, M. T. J., & Negenborn, R. R. (2018). Fleet management for pickup and delivery problems with multiple locations and preferences. International Conference on Dynamics in Logistics, 86–94.
Mancini, S., & Gansterer, M. (2021). Vehicle routing with private and shared delivery locations. Computers & Operations Research, 133, 105361.
Melián-Batista, B., De Santiago, A., AngelBello, F., & Alvarez, A. (2014). A bi-objective vehicle routing problem with time windows: A real case in Tenerife. Applied Soft Computing, 17, 140–152.
Melkonyan, A., Gruchmann, T., Lohmar, F., Kamath, V., & Spinler, S. (2020). Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks. International Journal of Production Economics, 228, 107746.
Messac, A., & Mattson, C. A. (2004). Normal Constraint Method with Guarantee of Even Representation of Complete Pareto Frontier. AIAA Journal, 42(10), 2101–2111. https://doi.org/10.2514/1.8977
Moghaddam, B. F., Ruiz, R., & Sadjadi, S. J. (2012). Vehicle routing problem with uncertain demands: An advanced particle swarm algorithm. Computers & Industrial Engineering, 62(1), 306–317.
Niemeijer, R., & Buijs, P. (2023). A greener last mile: Analyzing the carbon emission impact of pickup points in last-mile parcel delivery. Renewable and Sustainable Energy Reviews, 186, 113630.
Orenstein, I., Raviv, T., & Sadan, E. (2019). Flexible parcel delivery to automated parcel lockers: models, solution methods and analysis. EURO Journal on Transportation and Logistics, 8(5), 683–711.
Ozbaygin, G., Karasan, O. E., Savelsbergh, M., & Yaman, H. (2017). A branch-and-price algorithm for the vehicle routing problem with roaming delivery locations. Transportation Research Part B: Methodological, 100, 115–137.
Pourmohammadreza, N., & Jokar, M. R. A. (2023). A Novel Two-Phase Approach for Optimization of the Last-Mile Delivery Problem with Service Options. Sustainability, 15(10), 8098.
Ranieri, L., Digiesi, S., Silvestri, B., & Roccotelli, M. (2018). A review of last mile logistics innovations in an externalities cost reduction vision. Sustainability, 10(3), 782.
Reinhelt, G. (2014). {TSPLIB}: a library of sample instances for the TSP (and related problems) from various sources and of various types. URL: Http://Comopt. Ifi. Uniheidelberg. de/Software/TSPLIB95.
Research and Markets. (2020). Last Mile Delivery Market - Growth, Trends, and Forecast (2020 - 2025).
Reyes, D., Savelsbergh, M., & Toriello, A. (2017). Vehicle routing with roaming delivery locations. Transportation Research Part C: Emerging Technologies, 80, 71–91.
Sampaio, A., Kinable, J., Veelenturf, L. P., & Van Woensel, T. (2019). A scenario-based approach for the vehicle routing problem with roaming delivery locations under stochastic travel times. Optim. Online.
Savelsbergh, M., & Van Woensel, T. (2016). 50th anniversary invited article—city logistics: Challenges and opportunities. Transportation Science, 50(2), 579–590.
Schwerdfeger, S., & Boysen, N. (2020). Optimizing the changing locations of mobile parcel lockers in last-mile distribution. European Journal of Operational Research, 285(3), 1077–1094.
Seghezzi, A., Siragusa, C., & Mangiaracina, R. (2022). Parcel lockers vs. home delivery: a model to compare last-mile delivery cost in urban and rural areas. International Journal of Physical Distribution & Logistics Management, 52(3), 213–237.
Sitek, P., & Wikarek, J. (2019). Capacitated vehicle routing problem with pick-up and alternative delivery (CVRPPAD): model and implementation using hybrid approach. Annals of Operations Research, 273(1), 257–277.
Sitek, P., Wikarek, J., Rutczyńska-Wdowiak, K., Bocewicz, G., & Banaszak, Z. (2021). Optimization of capacitated vehicle routing problem with alternative delivery, pick-up and time windows: A modified hybrid approach. Neurocomputing, 423, 670–678.
Stašys, R., Švažė, D., & Klimas, E. (2022). The main reasons for customer satisfaction with parcel locker services: the case of Lithuania. Regional Formation and Development Studies: Journal of Social Sciences, 2, 175–187.
Tang, Y. M., Chau, K. Y., Xu, D., & Liu, X. (2021). Consumer perceptions to support IoT based smart parcel locker logistics in China. Journal of Retailing and Consumer Services, 62, 102659.
Tedjo, A. T., Tee, P. K., & Ahmad, R. (2022). A Study on the Factors Boosting Customer Experience in the Adoption of Smart Locker in Klang Valley.
Tilk, C., Olkis, K., & Irnich, S. (2021). The last-mile vehicle routing problem with delivery options. OR Spectrum, 43(4), 877–904.
Wang, L., Xu, M., & Qin, H. (2023). Joint optimization of parcel allocation and crowd routing for crowdsourced last-mile delivery. Transportation Research Part B: Methodological, 171, 111–135.
Wang, Y., Zhang, Y., Bi, M., Lai, J., & Chen, Y. (2022). A Robust Optimization Method for Location Selection of Parcel Lockers under Uncertain Demands. Mathematics, 10(22), 4289.
Yang, F., Dai, Y., & Ma, Z.-J. (2020). A cooperative rich vehicle routing problem in the last-mile logistics industry in rural areas. Transportation Research Part E: Logistics and Transportation Review, 141, 102024.
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