Formulations for a problem of petroleum transportation

Luiz Aizemberg, Hugo Harry Kramer, Artur Alves Pessoa and Eduardo Uchoa

European Journal of Operational Research, 2014, vol. 237, issue 1, 82-90

Abstract: Oil tankers play a fundamental role in every offshore petroleum supply chain and due to its high price, it is essential to optimize its use. Since this optimization requires handling detailed operational aspects, complete optimization models are typically intractable. Thus, a usual approach is to solve a tactical level model prior to optimize the operational details. In this case, it is desirable that tactical models are as precise as possible to avoid too severe adjustments in the next optimization level. In this paper, we study tactical models for a crude oil transportation problem by tankers. We did our work on the top of a previous paper found in the literature. The previous model considers inventory capacities and discrete lot sizes to be transported, aiming to meet given demands over a finite time horizon. We compare several formulations for this model using 50 instances from the literature and proposing 25 new harder ones. A column generation-based heuristic is also proposed to find good feasible solutions with less computational burden than the heuristics of the commercial solver used.

Keywords: Mixed Integer Programming; Transportation problem; Column generation-based heuristic (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:237:y:2014:i:1:p:82-90

DOI: 10.1016/j.ejor.2014.01.036

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