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

DOI10.1016/J.EJOR.2018.01.032zbMath1403.90351DBLPjournals/eor/MeiraMRBNA18OpenAlexW2790677506WikidataQ57526482 ScholiaQ57526482MaRDI QIDQ1754366

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

Publication date: 30 May 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2018.01.032

zbMATH Keywords

distributionschedulingmixed integer linear programmingdecomposition approachmultiproduct pipeline

Mathematics Subject Classification ID

Mixed integer programming (90C11) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Deterministic network models in operations research (90B10)

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Optimization of two-echelon last-mile delivery via cargo tunnel and a delivery person ⋮ A data‐driven optimization approach to plan smart waste collection operations ⋮ A solution framework for the long-term scheduling and inventory management of straight pipeline systems with multiple-sources ⋮ Efficient formulation for transportation scheduling of single refinery multiproduct pipelines ⋮ An efficient GRASP-like algorithm for the multi-product straight pipeline scheduling problem

Cites Work

• Short-term scheduling of multiple source pipelines with simultaneous injections and deliveries
• Planning of multi-product pipelines by economic lot scheduling models
• Sequencing inputs to multi-commodity pipelines
• On the scheduling of real world multiproduct pipelines with simultaneous delivery

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