Petroleum Products Distribution Planning Model in Terms of Fleet Constraints and Transportation Infrastructure in Iran

Document Type : Review

Authors

1 Faculty of transportation planning engineering, Isfahan University of technology

2 Faculty of industrial and systems engineering, Isfahan University of technology

3 National Iranian oil products distribution company

Abstract

Refineries, warehouses and demand points are the main components of the petroleum products distribution network. The unbalanced distribution of the network components, increasing demand in recent years, and the difference in the infrastructure of various transportation modes between the components of the network, require the optimal distribution of the products. In the present study, the optimal transportation of the petroleum products from the refineries to the warehouse and from warehouses to demand points has been analyzed through the pipeline network, road and rail types. A mathematical model is presented with the aim of minimizing transportation costs in the petroleum supply chain, in order to satisfy demand over a specific time horizon. To solve the problem, a real network is implemented in GAMS optimization software.

Keywords

References

[1] Mentzer, J.T., et al., Defining supply chain management. Journal of Business logistics, 2001. 22(2): pp. 1-25.
[2] Kazemi, Y. and J. Szmerekovsky, Modeling downstream petroleum supply chain: The importance of multi-mode transportation to strategic planning. Transportation Research Part E: Logistics and Transportation Review, 2015. 83: pp. 111-125.
[3] Nasab, N.M. and M. Amin-Naseri, Designing an integrated model for a multi-period, multi-echelon and multi-product petroleum supply chain. Energy, 2016. 114: pp. 708-733.
[4] ایران، ش.م.پ.ف.ه.ن.، تحلیل، طراحی و پیاده‌سازی نظام برنامه‌ریزی توزیع فرآورده‌های نفتی. 1386.
[5] Ghaithan, A.M., A. Attia, and S.O. Duffuaa, Multi-objective optimization model for a downstream oil and gas supply chain. Applied Mathematical Modelling, 2017. 52: pp. 689-708.
[6] Al-Qahtani, K. and A. Elkamel, Multisite facility network integration design and coordination: An application to the refining industry. Computers & Chemical Engineering, 2008. 32(10): pp. 2189-2202.
[7] Fernandes, L.J., S. Relvas, and A.P. Barbosa-Póvoa, Strategic network design of downstream petroleum supply chains: single versus multi-entity participation. Chemical engineering research and design, 2013. 91(8): pp. 1557-1587.
[8] Wang, B., et al., Optimisation of a downstream oil supply chain with new pipeline route planning. Chemical Engineering Research and Design, 2019. 145: pp. 300-313.
[9] Escudero, L.F., F.J. Quintana, and J. Salmerón, CORO, a modeling and an algorithmic framework for oil supply, transformation and distribution optimization under uncertainty. European Journal of Operational Research, 1999. 114(3): pp. 638-656.
[10] MirHassani, S., An operational planning model for petroleum products logistics under uncertainty. Applied Mathematics and Computation, 2008. 196(2): pp. 744-751.
[11] Sear, T., Logistics planning in the downstream oil industry. Journal of the Operational Research Society, 1993. 44(1): pp. 9-17.
[12] Verma, M., V. Verter, and N. Zufferey, A bi-objective model for planning and managing rail-truck intermodal transportation of hazardous materials. Transportation research part E: logistics and transportation review, 2012. 48(1): pp. 132-149.
[13] Kim, Y., et al., An integrated model of supply network and production planning for multiple fuel products of multi-site refineries. Computers & Chemical Engineering, 2008. 32(11): pp. 2529-2535.
[14] Strogen, B., et al., Environmental, public health, and safety assessment of fuel pipelines and other freight transportation modes. Applied energy, 2016. 171: pp. 266-276.
[15] Cosham, A. and P. Hopkins. The assessment of corrosion in pipelines–Guidance in the pipeline defect assessment manual (PDAM). in Pipeline pigging and integrity management conference, Amsterdam, The Netherlands. 2004.

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