Abstract
In the actual worldwide environment, the oil industry faces fierce and growing competition. In this context, oil supply chains should be studied in order to improve their efficiency, while remaining flexible to successfully handle certain types of contingencies, such as lack of products or fleet unavailability. At the distribution level, tankers are commonly used in the downstream activities to transport the derivative products from distribution centres to service stations, comprising the secondary distribution level. This operation is usually short-term scaled to meet final consumers’ demand. However, the availability and proper sizing of a fleet to perform the required distribution can be a complex problem due to the fact that demand is known on short notice and the distribution network may include hundreds of demand points to be satisfied. In this chapter, the T2S.opt—Tank to Station Optimizer—decision support tool is presented. T2S.opt addresses the fleet distribution planning problem under normal and abnormal operational scenarios. The optimal planning covers short-term solutions and minimizes operational costs. A Mixed-Integer Linear Programming (MILP) was developed and implemented to be used through a proper user interface, giving origin to T2S.opt. The software was used to schedule the secondary distribution of oil products of GalpEnergia in Portugal.
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Acknowledgments
The authors thank GalpEnergia all the support in terms of problem definition and data gathering. The authors thank Fundação para a Ciência e Tecnologia (FCT) for financial support, under the project PEst-OE/EGE/UI0097/2011.
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Mota, N., Relvas, S., Gonçalves, J. (2017). Downstream Oil Products Distribution Planning: A Portuguese Case Study. In: Póvoa, A., Corominas, A., de Miranda, J. (eds) Optimization and Decision Support Systems for Supply Chains. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-42421-7_3
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DOI: https://doi.org/10.1007/978-3-319-42421-7_3
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