Short-term scheduling of multiple source pipelines with simultaneous injections and deliveries

DOI10.1016/j.cor.2016.03.006zbMath1349.90383OpenAlexW2307336660WikidataQ58226726 ScholiaQ58226726MaRDI QIDQ342409

Alireza Ghaffari-Hadigheh, Hossein Mostafaei, Pedro M. Castro

Publication date: 17 November 2016

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2016.03.006

zbMATH Keywords

mathematical modelingmixed-integer linear programminggeneralized disjunctive programmingmultiproduct pipelines

Mathematics Subject Classification ID

Mixed integer programming (90C11) Deterministic scheduling theory in operations research (90B35) Deterministic network models in operations research (90B10)

Related Items (6)

A self-learning approach for optimal detailed scheduling of multi-product pipeline ⋮ Planning of multi-product pipelines by economic lot scheduling models ⋮ A matheuristic decomposition approach for the scheduling of a single-source and multiple destinations pipeline system ⋮ 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

• Operating room scheduling with generalized disjunctive programming
• Operational scheduling of refined product pipeline with dual purpose depots
• A mixed-integer linear programming for scheduling a multi-product pipeline with dual-purpose terminals
• Sequencing inputs to multi-commodity pipelines
• A mathematical model for scheduling of real-world tree-structured multi-product pipeline system
• On the scheduling of real world multiproduct pipelines with simultaneous delivery
• Efficient operation of natural gas transmission systems: a network-based heuristic for cyclic structures
• Multi-Product Inventory Logistics Modeling in the Process Industries
• Disjunctive Programming
• Combining Simulation and Tabu Search for Oil-derivatives Pipeline Scheduling

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