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Mixed-integer linear programming model for tree-like pipeline scheduling problem with intermediate due dates on demands

Author

Listed:
  • M. Taherkhani

    (Islamic Azad University)

  • M. Seifbarghy

    (Alzahra University)

  • R. Tavakkoli-Moghaddam

    (University of Tehran
    Centre de Metz)

  • P. Fattahi

    (Alzahra University)

Abstract

Multi-product pipelines are a significant and extensive mean of transporting petroleum based products from refineries to distribution centers. Previous contributions on tree-like pipeline scheduling problem have considered a simple structure with a single refinery connected to a mainline and some secondary lines only emerged from the mainline. In practice, however, a tree-like pipeline may also have several branches on a secondary line resulting in a complex structure, the so called multi-level tree-like pipeline. This paper addresses the short-term scheduling of multi-level tree-like pipelines with multiple refineries through a continuous time mixed-integer linear programming (MILP) model that considers multiple intermediate due dates for product demands. The objective is to satisfy product demands on time at the minimum operational costs, such as pumping, interface and backorder costs. The proposed model performance’s is shown by solving four examples.

Suggested Citation

  • M. Taherkhani & M. Seifbarghy & R. Tavakkoli-Moghaddam & P. Fattahi, 2020. "Mixed-integer linear programming model for tree-like pipeline scheduling problem with intermediate due dates on demands," Operational Research, Springer, vol. 20(1), pages 399-425, March.
    • Handle: RePEc:spr:operea:v:20:y:2020:i:1:d:10.1007_s12351-017-0329-2
    DOI: 10.1007/s12351-017-0329-2
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    References listed on IDEAS

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    1. 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.
    2. Danielle Zyngier & Jeffrey D. Kelly, 2009. "Multi-Product Inventory Logistics Modeling in the Process Industries," Springer Optimization and Its Applications, in: Wanpracha Chaovalitwongse & Kevin C. Furman & Panos M. Pardalos (ed.), Optimization and Logistics Challenges in the Enterprise, pages 61-95, Springer.
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