Abstract
The following work proposes a (max, +) optimization model for scheduling batch transfer operations in a flow network by integrating a cost/criticality criterion to prioritize conflicting operations in terms of resource allocation. The case study is a seaport for oil export where real industrial data has been gathered. The work is extendable to flow networks in general and aims at proposing a general, intuitive algebraic modeling framework through which flow transfer operations can be scheduled based on a criterion that integrates the potential costs due to late client service and critical device reliability in order to satisfy a given set of requests through a set of disjoint alignments in a pipeline network. The research exploits results from previous work and it is suitable for systems handling different client priorities and in which device reliability has an important short-term impact on operations.
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Notes
- 1.
a specific scenario is the mixture of two identical oil types. However, oil mixture is not allowed in any scenario since sharing an alignment's section by two transfer operations could result in lower product flow rate and several aspects such as pumping power and pipeline dimensions would have to be considered and are not the focus of this work.
- 2.
taking into consideration that maintenance is not approached in this work.
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Acknowledgments
This research has been supported by Thales Group France, and by the PCP (Post-graduate Cooperation Program) between Venezuela and France involving the collaboration between the academic institutions: ULA (in Spanish: Universidad de Los Andes)—research laboratory: CEMISID in Mérida, Venezuela and the INSA (in French: Université de Lyon, INSA Lyon, Ampère (UMR5005)) in Lyon, France; and the industrial partners Thales Group France and PDVSA (in Spanish: Petróleos de Venezuela Sociedad Anónima), the Venezuelan oil company. Industrial data for model validation has been granted by PDVSA.
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Quintero, K., Niel, E., Aguilar, J., Piétrac, L. (2014). A Cost-Criticality Based (Max, +) Optimization Model for Operations Scheduling. In: Kim, H., Ao, SI., Amouzegar, M. (eds) Transactions on Engineering Technologies. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9115-1_47
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