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Continuous-Time Formulation for Oil Products Transportation Scheduling

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Computational Logistics (ICCL 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9855))

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Abstract

This paper presents a novel Mixed Integer Linear Programming (MILP) model for the operational planning of an oil transportation system characterized by a straight multiproduct pipeline with dual purpose terminals that could represent facility input or output. It is based on a continuous representation in both time and volume scales and is capable of meeting all operational constraints related to product sequencing, mass balances and pipeline loading/unloading operations. Contrary to previous approaches, the model allows an intermediate node and the previous segment to simultaneously inject material in the pipeline. Computational results and data are reported.

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Acknowledgment

Financial support from the Iranian Ministry of Science and Technology and Fundação para a Ciência e Tecnologia through the Investigador FCT 2013 program and project UID/MAT/04561/2013.

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Authors and Affiliations

  1. Centro de Matemática Aplicações Fundamentais e Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa, 1749-016, Lisbon, Portugal

    Hossein Mostafaei & Pedro M. Castro

  2. Department of Applied Mathematics, Azarbaijan Shahid Madani University, Tabriz, Iran

    Hossein Mostafaei

Authors
  1. Hossein Mostafaei
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  2. Pedro M. Castro
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Corresponding author

Correspondence to Pedro M. Castro .

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Editors and Affiliations

  1. Faculdade de Ciências da Universidade de Lisboa, Lisbon, Portugal

    Ana Paias

  2. University of Vienna , Vienna, Austria

    Mario Ruthmair

  3. University of Hamburg , Hamburg, Hamburg, Germany

    Stefan Voß

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Mostafaei, H., Castro, P.M. (2016). Continuous-Time Formulation for Oil Products Transportation Scheduling. In: Paias, A., Ruthmair, M., Voß, S. (eds) Computational Logistics. ICCL 2016. Lecture Notes in Computer Science(), vol 9855. Springer, Cham. https://doi.org/10.1007/978-3-319-44896-1_25

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  • DOI: https://doi.org/10.1007/978-3-319-44896-1_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44895-4

  • Online ISBN: 978-3-319-44896-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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