A transshipment model for logistics management at Indian Oil Corporation
RAIRO - Operations Research - Recherche Opérationnelle, Tome 54 (2020) no. 4, pp. 1087-1102.

Three refineries of the Indian Oil Corporation procure crude oil from suppliers, at production sites in the Persian Gulf, West Africa, North Africa, West Asia, and India. The crude oil is shipped to two ports in the state of Gujarat, India, by large tankers and medium sized vessels. From these two ports, the crude oil is pumped to the refineries via pipelines. The refineries have known capacity, that are different for the two types of crude oil. In this paper, the scaled-up problem has been modelled, as a transshipment network. Next, the concrete instance of the problem, has been solved using an LP solver. This was followed by post-optimality analysis of the solution. The flow values on all arcs, and optimal product mix, validate actual decisions. Precise shipping requirements obtained from the solution, are shared in advance with marine transporters to improve supply chain coordination.

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DOI : 10.1051/ro/2020005
Classification : 90-10, 90B90
Mots-clés : Maritime inventory routing, crude oil pipelines, refining capacity 
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Toppur, Badri; Sanyal, Atanu. A transshipment model for logistics management at Indian Oil Corporation. RAIRO - Operations Research - Recherche Opérationnelle, Tome 54 (2020) no. 4, pp. 1087-1102. doi : 10.1051/ro/2020005. http://www.numdam.org/articles/10.1051/ro/2020005/

A.P. Barbosa-Póvoa, Process supply chains management – Where are we? Where to go next? Front. Energy Res. 2 (2014) 23.

C.E. Bodington and T.E. Baker, A history of mathematical programming in the petroleum industry. INFORMS J. Appl. Anal. 20 (1990) 117–127. | DOI

V.G. Cafaro, P.C. Pautasso, J. Cerdá and D.C. Cafaro, Efficient planning of crude oil supplies through long-distance pipelines. Comput. Chem. Eng. 122 (2019) 203–217. | DOI

J. Cerdá, P.C. Pautasso and D.C. Cafaro, Optimization approaches for efficient crude blending in large oil refineries. Ind. Eng. Chem. Res. 57 (2018) 8484–8501. | DOI

L.S. De Assis, E. Camponogara, B.C. Menezes and I.E. Grossmann, An MINLP formulation for integrating the operational management of crude oil supply. Comput. Chem. Eng. 123 (2019) 110–125. | DOI

G.S.S. Diz, F. Oliveira and S. Hamacher, Improving maritime inventory routing: application to a Brazilian petroleum case. Marit. Policy Manage. 44 (2017) 42–61. | DOI

J. Dyntar and J. Skvor, Oil refinery supply chain modelling using pipe transportation simulator. IJCSI Int. J. Comput. Sci. Issues 9 (2012) 278.

IOC web-site, Crude Oil Pipelines. Available at: https://iocl.com/Aboutus/CrudeOilPipelines.aspx (2020).

V.P. Klepikov and V.V. Klepikov, Crude oil logistics, production and refining in North Europe. Int. J. Energy Econ. Policy 8 (2018) 18–28.

F. Oliveira, P.M. Nunes, R. Blajberg and S. Hamacher, A framework for crude oil scheduling in an integrated terminal-refinery system under supply uncertainty. Eur. J. Oper. Res. 252 (2016) 635–645. | DOI | MR

D.K. Papageorgiou, G.L. Nemhauser, J. Sokol, M.-S. Cheon and A.B. Keha, MIRPLib – a library of maritime inventory routing problem instances: survey, core model, and benchmark results. Eur. J. Oper. Res. 235 (2014) 350–366. | DOI | MR | Zbl

S. Randall, Energy, Risk & Competitive Advantage: The Information Imperative. Pennwell Corporation (2008).

R. Rocha, I.E. Grossmann and M.V. Poggi De Arago, Petroleum allocation at PETROBRAS: mathematical model and a solution algorithm. Comput. Chem. Eng. 33 (2009) 2123–2133. | DOI

D. Ronen, Dispatching petroleum products. Oper. Res. 43 (1995) 379–387. | DOI | Zbl

C.E.H. Ross and L.E. Sloan, Terra Incognita: A Navigation Aid for Energy Leaders. Pennwell Corporation (2007).

S.J.K. Sahith, K.V. Rao and P.S. Rao, Design and surge study of Salaya Mathura pipeline for higher throughput of crude oil transportation. Mater. Today: Proc. 5 (2018) 5459–5466.

H.M. Salkin and K. Mathur, Foundations of Integer Programming. Elsevier Science Publishing Co., Inc. (1989). | MR | Zbl

H.D. Sherali, S. Al-Yakoob and M.M. Hassan, Fleet management models and algorithms for an oil-tanker routing and scheduling problem. IIE Trans. (Inst. Ind. Eng.) 31 (1999) 395–406.

A.W. Siddiqui and M. Verma, A bi-objective approach to routing and scheduling maritime transportation of crude oil. Transp. Res. Part D: Transp. Environ. 37 (2015) 65–78. | DOI

M. Simmons, Twilight in the Desert: The Coming Saudi Oil Shock and the world economy. John Wiley & Sons (2005).

J.-H. Song and K.C. Furman, A maritime inventory routing problem: practical approach. Comput. Oper. Res. 40 (2013) 657–665. | DOI | Zbl

D.G. Victor, D.R. Hults and M. Thurber, editors,Oil and Governance: State-owned Enterprises and the World Energy Supply. Cambridge University Press (2012).

C. Vilhelmsen, J. Larsen and R.M. Lusby, Tramp Ship Routing and Scheduling – Models, Methods and Opportunities. DTU Management Engineering (2015).

D. Yergin, The Quest: Energy, Security, and the Remaking of the Modern World, Penguin Books, Pearson (2012).

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