Sustainable model of port-hinterland freight distribution network considering uncertainty: A case study of Iran

Document Type : Article

Authors

Department of Industrial Engineering, Iran University of Science and Technology, Tehran, P.O. Box 16846-13114, Iran

Abstract

According to the significant role of ports, port-hinterland distribution network considering various parameters, has come under the spot of attention in the recent years. This paper, considering intermodal transport, along with the possibility of constructing new inland terminals where transportation mode changes, aims to investigate the subject of port-hinterland freight distribution network. To this aim, considering the volume of exported freight being delivered as well as imported freight received, a multi-objective intermodal model has been developed for Iran's case study. In this model, it has been assumed that in addition to the existing railway and road routes in the country, new railway and road routes could be constructed as well. The first objective function involves minimizing the cost of transportation along with the cost of constructing an inland terminal. The second objective function involves minimizing CO_2 released during freight transport. The certain model of the problem has been described, first and uncertainty conditions in amounts of import demand and export supply has been taken into account. A robust modeling approach has been used. Therefore, data of goods imported or exported to/from Iran were collected and solved using robust model in GAMS software; then the results were analyzed and investigated.

Keywords

References

References:
1. Parola, F., Risitano, M., Ferretti, M., et al. "The drivers of port competitiveness: a critical review", Transport Reviews, 37, pp. 116-138 (2017).
2. Lopez-Navarro, M.A. "Environmental factors and intermodal freight transportation: Analysis of the decision bases in the case of spanish motorways of the sea", Sustainability, 6(3), pp. 1544-1566 (2014).
3. Sdoukopoulos, E. and Boile, M. "Port-hinterland concept evolution: A critical review", J. Transp. Geogr., 86, p. 102775 (2020).
4. Kim, N.S. and Van Wee, B. "Toward a better methodology for assessing CO2 emissions for intermodal and truck-only freight systems: A European case study", Int. J. Sustain. Transp., 8(3), pp. 177-201 (2014).
5. Halim, R.A., Kwakkel, J.H., and Tavasszy, L.A. "A strategic model of port-hinterland freight distribution networks", Transp. Res. Part E Logist. Transp. Rev., 95, pp. 368-384 (2016).
6. Dooms, M., Haezendonck, E., and Verbeke, A. "Towards a meta-analysis and toolkit for port-related socio-economic impacts: a review of socio-economic impact studies conducted for seaports", Marit. Policy Manag., 42(5), pp. 459-480 (2015).
7. Veenstra, A., Zuidwijk, R., and Van Asperen, E. "The extended gate concept for container terminals: Expanding the notion of dry ports", Marit. Econ. Logist., 14(1), pp. 14-32 (2012).
8. Van den Berg, R. and De Langen, P.W. "Towards an 'inland terminal centred'value proposition", Marit. Policy Manag., 42(5), pp. 499-515 (2015).
9. Monios, J. "The role of inland terminal development in the hinterland access strategies of Spanish ports", Res. Transp. Econ., 33(1), pp. 59-66 (2011).
10. Panova, Y. and Hilmola, O.-P. "Justification and evaluation of dry port investments in Russia", Res. Transp. Econ., 51, pp. 61-70 (2015).
11. Woodburn, A. "An analysis of rail freight operational efficiency and mode share in the British porthinterland container market", Transp. Res. Part D Transp. Environ., 51, pp. 190-202 (2017).
12. Roso, V. "Sustainable intermodal transport via dry ports-importance of directional development", World Rev. Intermodal Transp. Res., 4(2-3), pp. 140-156 (2013).
13. Nguyen, L.C. and Notteboom, T. "The relations between dry port characteristics and regional port hinterland settings: findings for a global sample of dry ports", Maritime Policy & Management., 46, pp. 24- 42 (2019).
14. Khaslavskaya, A. and Roso, V. "Dry ports: research outcomes, trends, and future implications", Maritime Economics & Logistics, 22(2), pp. 1-28 (2020).
15. Lam, J.S.L. and Gu, Y. "A market-oriented approach for intermodal network optimisation meeting cost, time and environmental requirements", Int. J. Prod. Econ., 171, pp. 266-274 (2016).
16. Wang, C. "Optimization of hub-and-spoke two-stage logistics network in regional port cluster", Syst. Eng. Pract., 28(9), pp. 152-158 (2008).
17. Mingjun, J.I. and Maoying, H.E. "Optimization of two-stage port logistics network of dynamic hinterland based on bi-level programming model", J. Transp. Syst. Eng. Inf. Technol., 10(6), pp. 89-94 (2010).
18. Iannone, F. and Thore, S. "An economic logistics model for the multimodal inland distribution of maritime containers", Int. J. Transp. Econ. Internazionale di Econ. Dei Trasp., pp. 281-326 (2010).
19. Kim, N., Janic, M., and Van Wee, B. "Trade-off between carbon dioxide emissions and logistics costs based on multiobjective optimization", Transp. Res. Rec. J. Transp. Res. Board, 2139, pp. 107-116 (2009).
20. Rahimi, M., Asef-Vaziri, A., and Harrison, R. "An inland port location-allocation model for a regional intermodal goods movement system", Marit. Econ. Logist., 10(4), pp. 362-379 (2008).
21. Feng, X., Zhang, Y., Li, Y., et al. "A locationallocation model for seaport-dry port system optimization", Discret. Dyn. Nat. Soc., 2013, pp. 1-29 (2013).
22. Lattila, L., Henttu, V., and Hilmola, O.-P. "Hinterland operations of sea ports do matter: Dry port usage effects on transportation costs and CO2 emissions", Transp. Res. Part E Logist. Transp. Rev., 55, pp. 23- 42 (2013).
23. Henttu, V. and Hilmola, O.-P. "Financial and environmental impacts of hypothetical finish dry port structure", Res. Transp. Econ., 33(1), pp. 35-41 (2011).
24. Wang, C., Chen, Q., and Huang, R. "Locating dry ports on a network: a case study on Tianjin Port", Marit. Policy Manag., 45(1), pp. 71-88 (2018).
25. Chang, Z., Notteboom, T., and Lu, J. "A two-phase model for dry port location with an application to the port of Dalian in China", Transp. Plan. Technol., 38(4), pp. 442-464 (2015).
26. Zhang, M., Janic, M., and Tavasszy, L.A. "A freight transport optimization model for integrated network, service, and policy design", Transp. Res. Part E Logist. Transp. Rev., 77, pp. 61-76 (2015).
27. Aregall, M.G., Bergqvist, R., and Monios, J. "A global review of the hinterland dimension of green port strategies", Transp. Res. Part D Transp. Environ., 59, pp. 23-34 (2018).
28. Hu, Q., Corman, F., Wiegmans, B., et al. "A tabu search algorithm to solve the integrated planning of container on an inter-terminal network connected with a hinterland rail network", Transp. Res. Part C Emerg. Technol., 91, pp. 15-36 (2018).
29. Santos, T.A. and Soares, C.G. "Container terminal potential hinterland delimitation in a multi-port system subject to a regionalization process", J. Transp. Geogr., 75, pp. 132-146 (2019).
30. Resat, H.G. and Turkay, M. "A discrete-continuous optimization approach for the design and operation of synchromodal transportation networks", Comput. Ind. Eng., 130, pp. 512-525 (2019).
31. Liu, P., Liu, C., Du, J., et al. "A system dynamics model for emissions projection of hinterland transportation", J. Clean. Prod., 218, pp. 591-600 (2019).
32. Van Nguyen, T., Zhang, J., Zhou, L., et al. "A datadriven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory", Transp. Res. Part E Logist. Transp. Rev., 134, p. 101816 (2020).
33. Jiang, J., Zhang, D., Meng, Q., et al. "Regional multimodal logistics network design considering demand uncertainty and CO2 emission reduction target: A system-optimization approach", J. Clean. Prod., 248, p. 119304 (2020).
34. Soyster, A.L. "Convex programming with set-inclusive constraints and applications to inexact linear programming", Oper. Res., 21(5), pp. 1154-1157 (1973).
35. Ben-Tal, A. and Nemirovski, A. "Robust convex optimization", Math. Oper. Res., 23(4), pp. 769-805 (1998).
36. Bertsimas, D. and Sim, M. "The price of robustness", Oper. Res., 52(1), pp. 35-53 (2004).
37. Bertsimas, D. and Thiele, A. "A robust optimization approach to inventory theory", Oper. Res., 54(1), pp. 150-168 (2006).
38. Golsefidi A.H. and Akbari Jokar, M.R. "A robust optimization approach for the production-inventoryrouting problem with simultaneous pickup and delivery", Comput. Ind. Eng., p. 106388 (2020).
Scientia Iranica
Volume 30, Issue 2
Transactions on Industrial Engineering (E)
March and April 2023
Pages 784-802

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History

  • Receive Date: 30 April 2020
  • Revise Date: 21 January 2021
  • Accept Date: 26 April 2021

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