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A matheuristic decomposition approach for the scheduling of a single-source and multiple destinations pipeline system

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  • Meira, William Hitoshi Tsunoda
  • Magatão, Leandro
  • Relvas, Susana
  • Barbosa-Póvoa, Ana Paula
  • Neves, Flávio
  • Arruda, Lúcia V.R.

Abstract

An improvement on the scheduling of pumping and delivery operations in an installed pipeline network can lead to considerable profits to the using companies, such as oil companies. This paper proposes a decomposition approach that integrates heuristic procedures and mixed integer linear programming (MILP) models, a matheuristic, to solve the long-term scheduling of a pipeline system, which connects a single-source to multiple distribution centers. The approach provides a rigorous inventory management and flow rate control taking into account several operational aspects, such as simultaneous deliveries, and prespecified periods of tank maintenance and pipeline maintenance. To validate the developed approach, two case studies were devised. In case study 1, several instances of an illustrative network were solved and case study 2 addressed three examples of a real-world network: base instance; extended instance with maintenance periods; and model performance tests. Valid solutions that can be operationally implemented were obtained for all executions in a reasonable computational time. Detailed discussions of the obtained solutions are presented and indicate an inventory control in accordance with operational requirements.

Suggested Citation

  • Meira, William Hitoshi Tsunoda & Magatão, Leandro & Relvas, Susana & Barbosa-Póvoa, Ana Paula & Neves, Flávio & Arruda, Lúcia V.R., 2018. "A matheuristic decomposition approach for the scheduling of a single-source and multiple destinations pipeline system," European Journal of Operational Research, Elsevier, vol. 268(2), pages 665-687.
    • Handle: RePEc:eee:ejores:v:268:y:2018:i:2:p:665-687
    DOI: 10.1016/j.ejor.2018.01.032
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    References listed on IDEAS

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    1. Kirschstein, Thomas, 2018. "Planning of multi-product pipelines by economic lot scheduling models," European Journal of Operational Research, Elsevier, vol. 264(1), pages 327-339.
    2. Ali Zaghian & Hossein Mostafaei, 2016. "An MILP model for scheduling the operation of a refined petroleum products distribution system," Operational Research, Springer, vol. 16(3), pages 513-542, October.
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    Cited by:

    1. Li, Zhengbing & Liang, Yongtu & Ni, Weilong & Liao, Qi & Xu, Ning & Li, Lichao & Zheng, Jianqin & Zhang, Haoran, 2022. "Pipesharing: economic-environmental benefits from transporting biofuels through multiproduct pipelines," Applied Energy, Elsevier, vol. 311(C).
    2. Mostafaei, Hossein & Castro, Pedro M. & Oliveira, Fabricio & Harjunkoski, Iiro, 2021. "Efficient formulation for transportation scheduling of single refinery multiproduct pipelines," European Journal of Operational Research, Elsevier, vol. 293(2), pages 731-747.
    3. Mostafaei, Hossein & Castro, Pedro M. & Relvas, Susana & Harjunkoski, Iiro, 2021. "A holistic MILP model for scheduling and inventory management of a multiproduct oil distribution system," Omega, Elsevier, vol. 98(C).

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