Volume 27, Issue 2 (Summer 2022)                   JPBUD 2022, 27(2): 175-191 | Back to browse issues page


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1- Institute for Management and Planning Studies, Tehran, Iran.
2- Department of Systems Planning and Economic Sciences, Institute for Management and Planning Studies, Tehran, Iran, , m.alimoradi@imps.ac.ir
3- Department of Systems Planning and Economic Sciences, Institute for Management and Planning Studies, Tehran, Iran
Abstract:   (1406 Views)
In recent years the increase in the quantity of cargo in the main ports of Iran has finally led to the development and establishment of dry ports in the country. Among the important advantages of the dry ports are: reducing the sedimentation of goods, increasing the share of rail transport and reducing road traffic, reducing the costs of transporting container cargo, and speeding up customs operations. The establishment of a dry port requires facilities and equipment for the entry and clearance of goods, changing the type of transportation, warehouse spaces, and customs operations, the cost of which varies according to the capacity level. This article is written to locate dry ports for Shahid Rajaei and Imam ports. The location of the dry port was modeled based on the location of the hub and the cost function, and because it is mixed linear programming, it has been solved by the exact simplex algorithm method. The optimum location of the dry port for Rajaei and Imam ports was done once separately for each and once again in a combined form. According to the results, the smaller the volume and dispersion of cargo origins/ destinations, the less the need for a dry port and the more optimal the use of the capacity of the main ports. Accordingly, the optimal possible state for Rajaei port is to use 37% of its capacity and for Imam port, it is 74%. The multiplicity of dry ports with greater spatial distribution in the country is more beneficial for the users. If the problem is solved for all ports in the country, due to the 90% share of Rajaei port in attracting container cargo, the optimal places for the construction of the dry port will be Aprin and the special economic zone of Sirjan, and the load between the mentioned hubs and the main port will be proportional to the cost of transportation. That is, the optimal dry port of Bandar Rajaei can be generalized to the macro scale of the country due to its significant role in the share of container cargo.
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Type of Study: Research | Subject: General
Received: Sep 07 2022 | Accepted: Sep 01 2022 | ePublished: Dec 17 2022

References
1. Alumur, S., & Kara, B. Y. (2008). Network Hub Location Problems: The State of the Art. European Journal of Operational Research, 190(1), 1-21. [DOI:10.1016/j.ejor.2007.06.008]
2. Ambrosino, D., & Sciomachen, A. (2014). Location of Mid-Range Dry Ports in Multimodal Logistic Networks. Procedia-Social and Behavioral Sciences, 108(1), 118-128. [DOI:10.1016/j.sbspro.2013.12.825]
3. De Langen, P., & Sornn-Friese, H. (2019). Ports and the Circular Economy. In Green Ports (pp. 85-108): Elsevier. [DOI:10.1016/B978-0-12-814054-3.00005-0]
4. Eydi, A., & Mirakhorli, A. (2012). Hybrid Heuristic Method Based on Genetic Algorithm for the Hub Covering Problem under Fuzzy Environment. International Journal of Industiral Engineering & Producion Management, 23(2), 161-173. [http://ijiepm.iust.ac.ir/article-1-878-fa.html]
5. Feng, X., Zhang, Y., Li, Y., & Wang, W. (2013). A Location-Allocation Model for Seaport-Dry Port System Optimization. Discrete Dynamics in Nature and Society. [DOI:10.1155/2013/309585]
6. Hale, T. S., & Moberg, C. R. (2003). Location Science Research: A Review. Annals of Operations Research, 123(1), 21-35. [DOI:10.1023/A:1026110926707]
7. Hatami Nasab, S. H., & Zare, H. (2018). Understanding Foregroung Factors in Creating Dry Ports in Iran by Hybrid Approach of GRA, MCDM and Interval-Valued Triangular Fuzzy Numbers. New Marketing Research Journal, 8(1), 57-74.
8. Karimi, H., & Bashiri, M. (2011). Hub Covering Location Problems with Different Coverage Types. Scientia Iranica, 18(6), 1571-1578. [DOI:10.1016/j.scient.2011.09.018]
9. Kovačič Lukman, R., Brglez, K., & Krajnc, D. (2022). A Conceptual Model for Measuring a Circular Economy of Seaports: A Case Study on Antwerp and Koper Ports. Sustainability, 14(6), 3467. [DOI:10.3390/su14063467]
10. Li, F., Shi, X., & Hu, H. (2011). Location Selection of Dry Port Based on AP Clustering-the Case of Southwest China. Journal of System and Management Sciences, 1(5), 79-88.
11. Mańkowska, M., Kotowska, I., & Pluciński, M. (2020). Seaports as Nodal Points of Circular Supply Chains: Opportunities and Challenges for Secondary Ports. Sustainability, 12(9), 3926. [DOI:10.3390/su12093926]
12. Nguyen, L. C., Thai, V. V., Nguyen, D. M., & Tran, M. D. (2021). Evaluating the Role of Dry Ports in the Port-Hinterland Settings: Conceptual Framework and the Case of Vietnam. The Asian Journal of Shipping and Logistics, 37(4), 307-320. [DOI:10.1016/j.ajsl.2021.09.001]
13. 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. [DOI:10.1016/S0377-2217(87)80007-3]
14. O'Kelly, M. E., & Miller, H. J. (1994). The Hub Network Design Problem: A Review and Synthesis. Journal of Transport Geography, 2(1), 31-40. [DOI:10.1016/0966-6923(94)90032-9]
15. Owen, S. H., & Daskin, M. S. (1998). Strategic Facility Location: A Review. European Journal of Operational Research, 111(3), 423-447. [DOI:10.1016/S0377-2217(98)00186-6]
16. Roso, V. (2008). Factors Influencing Implementation of a Dry Port. International Journal of Physical Distribution & Logistics Management, 38(10), 782-798. [DOI:10.1108/09600030810926493]
17. Shoukat, R., & Xiaoqiang, Z. (2022). Sustainable Logistics Network Optimization from Dry Ports to Seaport: A Case Study From Pakistan. Transportation Research Record, 03611981221115121. [DOI:10.1177/03611981221115121]
18. Steuer, B., Staudner, M., & Ramusch, R. (2021). Role and Potential of the Circular Economy in Managing End-of-Life Ships in China. Resources, Conservation and Recycling, 164(1), 105039. [DOI:10.1016/j.resconrec.2020.105039]

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