Logistics Network Design Considering the Location of Logistics Hubs: A Case Study of Western Iran
DOI:
https://doi.org/10.59615/ijie.1.3.74DOR:
https://dorl.net/dor/20.1001.1.27831906.2021.1.3.7.3Keywords:
Network Design, Logistics Hub, Hub Location, Hub Network, Western IranAbstract
Today, logistics is recognized as one of the most important factors in the development of countries. One of the characteristics of an efficient logistics structure is the design of a suitable logistics network with the requirements of the region and the existing infrastructure to meet the commercial and industrial needs at different scales. Facility location is the most important factor for the success of the facility and the designed network. One of the interesting topics in location issues is the hub location issue. Hubs are facilities that are used as our points of integration, communication, and switching between source and destination nodes. In a hub network, non-hub nodes are assigned to the hubs individually or multiple times so that the total system cost is minimized and service requirements are met. Given the current economic conditions and competitive environment, logistics hubs play an important role in the logistics network of companies, especially on a large scale, for countries. The function of logistics hubs is similar to that of logistics centers, but due to the network structure, they are known as logistics hubs. In this paper, the problem of logistics network design with emphasis on the location of logistics hubs is investigated. The mathematical model of the problem is multidimensional and unallocated, and the designed hub network is an incomplete network. In this case, the purpose is to meet the requirements of the mathematical model while minimizing the costs of a logistics network consisting of three costs of facility construction, interstate network construction, and transportation.
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• Abyazi-Sani, R., & Ghanbari, R. (2016). An efficient tabu search for solving the uncapacitated single allocation hub location problem. Computers & Industrial Engineering, 93, 99-109. https://doi.org/10.1016/j.cie.2015.12.028
• Atta, S., & Sen, G. (2020). Multiple allocation p-hub location problem for content placement in VoD services: a differential evolution based approach. Applied Intelligence, 50(5), 1573-1589. https://doi.org/10.1007/s10489-019-01609-y
• Aykin, T. (1990). On “a quadratic integer program for the location of interacting hub facilities”. European Journal of Operational Research, 46(3), 409-411.
• Bontekoning, Y., & Priemus, H. (2004). Breakthrough innovations in intermodal freight transport. Transportation Planning and Technology, 27(5), 335-345. https://doi.org/10.1080/0308106042000273031
• Campbell, J., Ernst, A., & Krishnamoorthy, M. (2002). Hub location problems.
• Carello, G., Della Croce, F., Ghirardi, M., & Tadei, R. (2004). Solving the hub location problem in telecommunication network design: A local search approach. Networks: An International Journal, 44(2), 94-105. https://doi.org/10.1002/net.20020
• Contreras, I., Cordeau, J. F., & Laporte, G. (2012). Exact solution of large-scale hub location problems with multiple capacity levels. Transportation Science, 46(4), 439-459. https://doi.org/10.1287/trsc.1110.0398
• Contreras, I., Fernández, E., & Marín, A. (2009). Tight bounds from a path based formulation for the tree of hub location problem. Computers & Operations Research, 36(12), 3117-3127. https://doi.org/10.1016/j.cor.2008.12.009
• Costa, A. M., França, P. M., & Lyra Filho, C. (2011). Two-level network design with intermediate facilities: an application to electrical distribution systems. Omega, 39(1), 3-13. https://doi.org/10.1016/j.omega.2010.01.005
• Ghahremani Nahr, J., & Bathaee, M. (2021). Design of a Humanitarian Logistics Network Considering the Purchase Contract. Journal of Decisions and Operations Research. DOI: 10.22105/dmor.2021.270988.1311
• Ghahremani Nahr, J., Kian, R., & Rezazadeh, H. (2018). A modified priority-based encoding for design of a closed-loop supply chain network using a discrete league championship algorithm. Mathematical problems in engineering, 2018. https://doi.org/10.1155/2018/8163927
• Ghahremani-Nahr, J., Nozari, H., & Bathaee, M. (2021). Robust Box Approach for Blood Supply Chain Network Design under Uncertainty: Hybrid Moth-Flame Optimization and Genetic Algorithm. International Journal of Innovation in Engineering, 1(2), 40-62. https://doi.org/10.52547/ijie.1.2.40
• Goldman, A. J. (1969). Optimal locations for centers in a network. Transportation Science, 3(4), 352-360. https://doi.org/10.1287/trsc.3.4.352
• Groothedde, B., Ruijgrok, C., & Tavasszy, L. (2005). Towards collaborative, intermodal hub networks: A case study in the fast moving consumer goods market. Transportation Research Part E: Logistics and Transportation Review, 41(6), 567-583. https://doi.org/10.1016/j.tre.2005.06.005.
• Guelat, J., Florian, M., & Crainic, T. G. (1990). A multimode multiproduct network assignment model for strategic planning of freight flows. Transportation science, 24(1), 25-39. https://doi.org/10.1287/trsc.24.1.25
• Kayışoğlu, B., & Akgün, İ. (2021). Multiple allocation tree of hubs location problem for non-complete networks. Computers & Operations Research, 136, 105478. https://doi.org/10.1016/j.cor.2021.105478
• Korani, E., & Eydi, A. (2021). Bi-level programming model and KKT penalty function solution approach for reliable hub location problem. Expert Systems with Applications, 184, 115505. https://doi.org/10.1016/j.eswa.2021.115505
• Macharis, C., & Bontekoning, Y. M. (2004). Opportunities for OR in intermodal freight transport research: A review. European Journal of operational research, 153(2), 400-416. https://doi.org/10.1016/S0377-2217(03)00161-9
• Maharjan, R., & Hanaoka, S. (2019). Fuzzy multi-attribute group decision making to identify the order of establishing temporary logistics hubs during disaster response. Journal of Humanitarian Logistics and Supply Chain Management. https://doi.org/10.1108/JHLSCM-02-2018-0013
• Merrina, A., Sparavigna, A., & Wolf, R. A. (2007). The intermodal networks: a survey on intermodalism. World Review of Intermodal Transportation Research, 1(3), 286-299. https://doi.org/10.1504/WRITR.2007.016275
• Mohammadi, H., Ghazanfari, M., Nozari, H., & Shafiezad, O. (2015). Combining the theory of constraints with system dynamics: A general model (case study of the subsidized milk industry). International Journal of Management Science and Engineering Management, 10(2), 102-108. https://doi.org/10.1080/17509653.2014.920123
• Mokhtarzadeh, M., Tavakkoli-Moghaddam, R., Triki, C., & Rahimi, Y. (2021). A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities. Engineering Applications of Artificial Intelligence, 98, 104121. https://doi.org/10.1016/j.engappai.2020.104121
• O'kelly, M. E. (1987). A quadratic integer program for the location of interacting hub facilities. European journal of operational research, 32(3), 393-404. https://doi.org/10.1016/S0377-2217(87)80007-3
• O'Kelly, M. E., & Lao, Y. (1991). Mode choice in a hub‐and‐spoke network: A zero‐one linear programming approach. Geographical Analysis, 23(4), 283-297. https://doi.org/10.1111/j.1538-4632.1991.tb00240.x
• Shahparvari, S., Nasirian, A., Mohammadi, A., Noori, S., & Chhetri, P. (2020). A GIS-LP integrated approach for the logistics hub location problem. Computers & Industrial Engineering, 146, 106488. https://doi.org/10.1016/j.cie.2020.106488
• Sirikijpanichkul, A., FERREIRA, L., & LUKSZO, Z. (2007). Optimizing the location of intermodal freight hubs: an overview of the agent based modelling approach. Journal of Transportation Systems Engineering and Information Technology, 7(4), 71-81. https://doi.org/10.1016/S1570-6672(07)60031-2
• Yaman, H., & Carello, G. (2005). Solving the hub location problem with modular link capacities. Computers & operations research, 32(12), 3227-3245. https://doi.org/10.1016/j.cor.2004.05.009
• Zahedi, M., & Nahr, J. (2020). Designing a hub covering location problem under uncertainty conditions. Management Science Letters, 9(3), 477-500. DOI: 10.5267/j.dsl.2020.2.002
• Zhai, H., Liu, Y. K., & Yang, K. (2016). Modeling two-stage UHL problem with uncertain demands. Applied Mathematical Modelling, 40(4), 3029-3048. https://doi.org/10.1016/j.apm.2015.09.086
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Copyright (c) 2021 Behzad Shoukhbaf, Isa Nakhai Kamalabadi
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