How to cite this paper
Kır, S & Comer, S. (2024). Improving a multi-echelon last mile delivery system by effective solution methods based on ant colony optimization.International Journal of Industrial Engineering Computations , 15(4), 977-996.
Refrences
Azarmand, Z., & Neishabouri, E. (2009). Location Allocation Problem, in: Zanjirani Farahani, R., Hekmatfar, M. (Eds.), Facility location: concepts, models, algorithms and case studies. Physica-Verlag, pp. 93-109.
Baker, B. M., & Ayechew, M. A. (2003). A genetic algorithm for the vehicle routing problem. Computers & Operations Research, 30(5), 787-800.
Bhatti, A., Akram, H., Basit, H. M., Khan, A. U., Raza, S. M., & Naqvi, M. B. (2020). E-commerce trends during COVID-19 Pandemic. International Journal of Future Generation Communication and Networking, 13(2), 1449-1452.
Boysen, N., Fedtke, S., & Schwerdfeger, S. (2021). Last-mile delivery concepts: a survey from an operational research perspective. OR Spectrum, 43, 1-58.
Bozorgi-Amiri, A., & Khorsi, M. (2016). A dynamic multi-objective location–routing model for relief logistic planning under uncertainty on demand, travel time, and cost parameters. The International Journal of Advanced Manufacturing Technology, 85(5), 1633-1648.
Charisis, A., & Kaisar, E. (2019). Multiobjective Capacitated Location-Allocation Model for Urban Logistics Delivery Facilities. In Transportation Research Board (TRB) Annual Meeting.
Comert, S. E., & Yazgan, H. R. (2023). A new approach based on hybrid ant colony optimization-artificial bee colony algorithm for multi-objective electric vehicle routing problems. Engineering Applications of Artificial Intelligence, 123, 106375.
Deutsch, Y., & Golany, B. (2018). A parcel locker network as a solution to the logistics last mile problem. International Journal of Production Research, 56(1-2), 251-261.
Dorigo, M., Maniezzo, V., & Colorni, A. (1991). Ant System: An Autocatalytic Optimizing Process. Technical Report TR91-016, Politecnico di Milano.
Dorigo, M., Maniezzo, V., & Colorni, A. (1996). Ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 26(1), 29-41.
Ferdi, I., & Layeb, A. (2018). A GRASP algorithm based new heuristic for the capacitated location routing problem. Journal of Experimental & Theoretical Artificial Intelligence, 30(3), 369-387.
Gao, S., Wang, Y., Cheng, J., Inazumi, Y., & Tang, Z. (2016). Ant colony optimization with clustering for solving the dynamic location routing problem. Applied Mathematics and Computation, 285, 149-173.
Gdowska, K., Viana, A., & Pedroso, J. P. (2018). Stochastic last-mile delivery with crowdshipping. Transportation research procedia. 30, 90-100.
Gendrau, M., & Tarantilis, C. D. (2010). Solving Large-Scale Vehicle Routing Problems with Time Windows: The State of the Art. CIRRELT.
Gevaers, R., Van de Voorde, E., & Vanelslander, T. (2011). Characteristics and typology of last-mile logistics from an innovation perspective in an urban context, in: City distribution and urban freight transport. Edward Elgar Publishing, pp. 56-71.
Guerrero-Lorente, J., Gabor, A. F., & Ponce-Cueto, E. (2020). Omnichannel logistics network design with integrated customer preference for deliveries and returns. Computers & Industrial Engineering, 144, 106433.
Guthrie, C., Fosso-Wamba, S., & Arnaud, J. B. (2021). Online consumer resilience during a pandemic: An exploratory study of e-commerce behavior before, during and after a COVID-19 lockdown. Journal of Retailing and Consumer Services, 61, 102570.
Hakimi, S.L. (1964). Optimum Location of Switching Centers and the Absolute Centers and Medians of a Graph. Operations Research, 12(3), 450–459.
Hakimi, S.L. (1965). Optimum distribution of switching centers in a communication network and some related graph theoretic problems. Operations Research, 13(3), 462–475.
Han, J., & Kamber, M. (2001). Data Mining and Concepts Techniques. San Francisco: Morgan Kaufmann Publishers Inc.
Hassanzadeh, A., Mohseninezhad, L., Tirdad, A., Dadgostari, F., & Zolfagharinia, H. (2009). Location-routing problem, in: Facility location: concepts, models, algorithms and case studies. Physica-Verlag, pp. 395-417.
Janjevic, M., Merchán, D., & Winkenbach, M. (2021). Designing multi-tier, multi-service-level, and multi-modal last-mile distribution networks for omni-channel operations. European Journal of Operational Research, 294(3), 1059-1077.
Janjevic, M., Winkenbach, M., & Merchán, D. (2019). Integrating collection-and-delivery points in the strategic design of urban last-mile e-commerce distribution networks. Transportation Research Part E: Logistics and Transportation Review, 131, 37-67.
Kedia, A., Kusumastuti, D., & Nicholson, A. (2020). Locating collection and delivery points for goods’ last-mile travel: A case study in New Zealand. Transportation Research Procedia, 46, 85-92.
Kiba-Janiak, M., Marcinkowski, J., Jagoda, A., & Skowrońska, A. (2021). Sustainable last mile delivery on e-commerce market in cities from the perspective of various stakeholders. Literature review. Sustainable Cities and Society, 71, 102984.
Kodinariya, T. M., & Makwana, P. R. (2013). Review on determining number of Cluster in K-Means Clustering. International Journal, 1(6), 90-95.
Laporte, G., & Dejax, P. J. (1989). Dynamic location-routeing problems. Journal of the Operational Research Society, 40(5), 471-482 (1989).
Li, S. R., & Keskin, B. B. (2014). Bi-criteria dynamic location-routing problem for patrol coverage. Journal of the Operational Research Society, 65(11), 1711-1725.
Lin, Y. H., Wang, Y., He, D., & Lee, L. H. (2020). Last-mile delivery: Optimal locker location under multinomial logit choice model. Transportation Research Part E: Logistics and Transportation Review, 142, 102059.
Liu, D., Deng, Z., Zhang, W., Wang, Y., & Kaisar, E. I. (2021). Design of sustainable urban electronic grocery distribution network. Alexandria Engineering Journal, 60(1), 145-157.
MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations. Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, 1(14), 281–297.
Mangiaracina, R., Perego, A., Seghezzi, A., & Tumino, A. (2019). Innovative solutions to increase last-mile delivery efficiency in B2C e-commerce: a literature review. International Journal of Physical Distribution & Logistics Management, 49(9), 901-920.
Memari, P., Tavakkoli-Moghaddam, R., Navazi, F., & Jolai, F. (2020). Air and ground ambulance location-allocation-routing problem for designing a temporary emergency management system after a disaster. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of engineering in medicine, 234(8), 812-828.
Min, H., Jayaraman, V., & Srivastava, R. (1998). Combined location-routing problems: A synthesis and future research directions. European Journal of Operational Research, 108(1), 1-15.
Molin, E., Kosicki, M., & van Duin, R. (2022). Consumer preferences for parcel delivery methods: the potential of parcel locker use in the Netherlands. European Journal of Transport and Infrastructure Research, 22(2), 183-200.
Nadizadeh, A., & Nasab, H. H. (2014). Solving the dynamic capacitated location-routing problem with fuzzy demands by hybrid heuristic algorithm. European Journal of Operational Research, 238(2), 458-470.
Nagy, G., & Salhi, S. (2007). Location-routing: Issues, models and methods. European Journal of Operational Research, 177(2), 649–672.
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.
Paul, S. K., Chowdhury, P., Moktadir, M. A., & Lau, K. H. (2021). Supply chain recovery challenges in the wake of COVID-19 pandemic. Journal of business research, 136, 316-329.
Prodhon, C., & Prins, C. (2014). A survey of recent research on location-routing problems. European Journal of Operational Research, 238(1), 1-17.
ReVelle, C., & Swain, R. (1970). Central Facilities Location. Geographical Analysis, 2(1), 30–42.
Rousseeuw, P. J. (1987). Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of computational and applied mathematics, 20, 53-65.
Sarkis, J. (2020). Supply chain sustainability: learning from the COVID-19 pandemic. International Journal of Operations & Production Management, 41(1), 63-73.
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.
Taguchi, G., & Wu, Y. (1979). Introduction to Off-Line Quality Control. Central Japan Quality Control Association, Magaya, Japan.
Wang, Y., Xu, R., Schwartz, M., Ghosh, D., & Chen, X. (2020). COVID-19 and retail grocery management: insights from a broad-based consumer survey. IEEE Engineering Management Review, 48(3), 202-211.
Weltevreden, J. W. (2008). B2c e‐commerce logistics: the rise of collection‐and‐delivery points in The Netherlands. International journal of retail & distribution management. 36(8), 638-660.
Xu, R., & Wunsch, D. (2005). Survey of Clustering Algorithms. IEEE Transactions on Neural Networks, 16(3), 645-678.
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., Lin, Y., Wang, X., & Zhou, F. (2019). Model and algorithm for bilevel multisized terminal location‐routing problem for the last mile delivery. International Transactions in Operational Research, 26(1), 131-156.
Baker, B. M., & Ayechew, M. A. (2003). A genetic algorithm for the vehicle routing problem. Computers & Operations Research, 30(5), 787-800.
Bhatti, A., Akram, H., Basit, H. M., Khan, A. U., Raza, S. M., & Naqvi, M. B. (2020). E-commerce trends during COVID-19 Pandemic. International Journal of Future Generation Communication and Networking, 13(2), 1449-1452.
Boysen, N., Fedtke, S., & Schwerdfeger, S. (2021). Last-mile delivery concepts: a survey from an operational research perspective. OR Spectrum, 43, 1-58.
Bozorgi-Amiri, A., & Khorsi, M. (2016). A dynamic multi-objective location–routing model for relief logistic planning under uncertainty on demand, travel time, and cost parameters. The International Journal of Advanced Manufacturing Technology, 85(5), 1633-1648.
Charisis, A., & Kaisar, E. (2019). Multiobjective Capacitated Location-Allocation Model for Urban Logistics Delivery Facilities. In Transportation Research Board (TRB) Annual Meeting.
Comert, S. E., & Yazgan, H. R. (2023). A new approach based on hybrid ant colony optimization-artificial bee colony algorithm for multi-objective electric vehicle routing problems. Engineering Applications of Artificial Intelligence, 123, 106375.
Deutsch, Y., & Golany, B. (2018). A parcel locker network as a solution to the logistics last mile problem. International Journal of Production Research, 56(1-2), 251-261.
Dorigo, M., Maniezzo, V., & Colorni, A. (1991). Ant System: An Autocatalytic Optimizing Process. Technical Report TR91-016, Politecnico di Milano.
Dorigo, M., Maniezzo, V., & Colorni, A. (1996). Ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 26(1), 29-41.
Ferdi, I., & Layeb, A. (2018). A GRASP algorithm based new heuristic for the capacitated location routing problem. Journal of Experimental & Theoretical Artificial Intelligence, 30(3), 369-387.
Gao, S., Wang, Y., Cheng, J., Inazumi, Y., & Tang, Z. (2016). Ant colony optimization with clustering for solving the dynamic location routing problem. Applied Mathematics and Computation, 285, 149-173.
Gdowska, K., Viana, A., & Pedroso, J. P. (2018). Stochastic last-mile delivery with crowdshipping. Transportation research procedia. 30, 90-100.
Gendrau, M., & Tarantilis, C. D. (2010). Solving Large-Scale Vehicle Routing Problems with Time Windows: The State of the Art. CIRRELT.
Gevaers, R., Van de Voorde, E., & Vanelslander, T. (2011). Characteristics and typology of last-mile logistics from an innovation perspective in an urban context, in: City distribution and urban freight transport. Edward Elgar Publishing, pp. 56-71.
Guerrero-Lorente, J., Gabor, A. F., & Ponce-Cueto, E. (2020). Omnichannel logistics network design with integrated customer preference for deliveries and returns. Computers & Industrial Engineering, 144, 106433.
Guthrie, C., Fosso-Wamba, S., & Arnaud, J. B. (2021). Online consumer resilience during a pandemic: An exploratory study of e-commerce behavior before, during and after a COVID-19 lockdown. Journal of Retailing and Consumer Services, 61, 102570.
Hakimi, S.L. (1964). Optimum Location of Switching Centers and the Absolute Centers and Medians of a Graph. Operations Research, 12(3), 450–459.
Hakimi, S.L. (1965). Optimum distribution of switching centers in a communication network and some related graph theoretic problems. Operations Research, 13(3), 462–475.
Han, J., & Kamber, M. (2001). Data Mining and Concepts Techniques. San Francisco: Morgan Kaufmann Publishers Inc.
Hassanzadeh, A., Mohseninezhad, L., Tirdad, A., Dadgostari, F., & Zolfagharinia, H. (2009). Location-routing problem, in: Facility location: concepts, models, algorithms and case studies. Physica-Verlag, pp. 395-417.
Janjevic, M., Merchán, D., & Winkenbach, M. (2021). Designing multi-tier, multi-service-level, and multi-modal last-mile distribution networks for omni-channel operations. European Journal of Operational Research, 294(3), 1059-1077.
Janjevic, M., Winkenbach, M., & Merchán, D. (2019). Integrating collection-and-delivery points in the strategic design of urban last-mile e-commerce distribution networks. Transportation Research Part E: Logistics and Transportation Review, 131, 37-67.
Kedia, A., Kusumastuti, D., & Nicholson, A. (2020). Locating collection and delivery points for goods’ last-mile travel: A case study in New Zealand. Transportation Research Procedia, 46, 85-92.
Kiba-Janiak, M., Marcinkowski, J., Jagoda, A., & Skowrońska, A. (2021). Sustainable last mile delivery on e-commerce market in cities from the perspective of various stakeholders. Literature review. Sustainable Cities and Society, 71, 102984.
Kodinariya, T. M., & Makwana, P. R. (2013). Review on determining number of Cluster in K-Means Clustering. International Journal, 1(6), 90-95.
Laporte, G., & Dejax, P. J. (1989). Dynamic location-routeing problems. Journal of the Operational Research Society, 40(5), 471-482 (1989).
Li, S. R., & Keskin, B. B. (2014). Bi-criteria dynamic location-routing problem for patrol coverage. Journal of the Operational Research Society, 65(11), 1711-1725.
Lin, Y. H., Wang, Y., He, D., & Lee, L. H. (2020). Last-mile delivery: Optimal locker location under multinomial logit choice model. Transportation Research Part E: Logistics and Transportation Review, 142, 102059.
Liu, D., Deng, Z., Zhang, W., Wang, Y., & Kaisar, E. I. (2021). Design of sustainable urban electronic grocery distribution network. Alexandria Engineering Journal, 60(1), 145-157.
MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations. Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, 1(14), 281–297.
Mangiaracina, R., Perego, A., Seghezzi, A., & Tumino, A. (2019). Innovative solutions to increase last-mile delivery efficiency in B2C e-commerce: a literature review. International Journal of Physical Distribution & Logistics Management, 49(9), 901-920.
Memari, P., Tavakkoli-Moghaddam, R., Navazi, F., & Jolai, F. (2020). Air and ground ambulance location-allocation-routing problem for designing a temporary emergency management system after a disaster. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of engineering in medicine, 234(8), 812-828.
Min, H., Jayaraman, V., & Srivastava, R. (1998). Combined location-routing problems: A synthesis and future research directions. European Journal of Operational Research, 108(1), 1-15.
Molin, E., Kosicki, M., & van Duin, R. (2022). Consumer preferences for parcel delivery methods: the potential of parcel locker use in the Netherlands. European Journal of Transport and Infrastructure Research, 22(2), 183-200.
Nadizadeh, A., & Nasab, H. H. (2014). Solving the dynamic capacitated location-routing problem with fuzzy demands by hybrid heuristic algorithm. European Journal of Operational Research, 238(2), 458-470.
Nagy, G., & Salhi, S. (2007). Location-routing: Issues, models and methods. European Journal of Operational Research, 177(2), 649–672.
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.
Paul, S. K., Chowdhury, P., Moktadir, M. A., & Lau, K. H. (2021). Supply chain recovery challenges in the wake of COVID-19 pandemic. Journal of business research, 136, 316-329.
Prodhon, C., & Prins, C. (2014). A survey of recent research on location-routing problems. European Journal of Operational Research, 238(1), 1-17.
ReVelle, C., & Swain, R. (1970). Central Facilities Location. Geographical Analysis, 2(1), 30–42.
Rousseeuw, P. J. (1987). Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of computational and applied mathematics, 20, 53-65.
Sarkis, J. (2020). Supply chain sustainability: learning from the COVID-19 pandemic. International Journal of Operations & Production Management, 41(1), 63-73.
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.
Taguchi, G., & Wu, Y. (1979). Introduction to Off-Line Quality Control. Central Japan Quality Control Association, Magaya, Japan.
Wang, Y., Xu, R., Schwartz, M., Ghosh, D., & Chen, X. (2020). COVID-19 and retail grocery management: insights from a broad-based consumer survey. IEEE Engineering Management Review, 48(3), 202-211.
Weltevreden, J. W. (2008). B2c e‐commerce logistics: the rise of collection‐and‐delivery points in The Netherlands. International journal of retail & distribution management. 36(8), 638-660.
Xu, R., & Wunsch, D. (2005). Survey of Clustering Algorithms. IEEE Transactions on Neural Networks, 16(3), 645-678.
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., Lin, Y., Wang, X., & Zhou, F. (2019). Model and algorithm for bilevel multisized terminal location‐routing problem for the last mile delivery. International Transactions in Operational Research, 26(1), 131-156.