A framework for crude oil scheduling in an integrated terminal-refinery system under supply uncertainty

DOI10.1016/J.EJOR.2016.01.034zbMath1346.90406OpenAlexW2291748495MaRDI QIDQ322948

Mohammad Hasan, M. Dambrine

Publication date: 7 October 2016

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2016.01.034

zbMATH Keywords

stochastic programmingcrude oil schedulingterminal-refinery systemuncertain oil supply

Mathematics Subject Classification ID

Stochastic programming (90C15) Transportation, logistics and supply chain management (90B06) Stochastic scheduling theory in operations research (90B36) Case-oriented studies in operations research (90B90)

Related Items (1)

A self-learning approach for optimal detailed scheduling of multi-product pipeline

Uses Software

• CORO

Cites Work

• Unnamed Item
• Stochastic chance constrained mixed-integer nonlinear programming models and the solution approaches for refinery short-term crude oil scheduling problem
• No-arbitrage conditions, scenario trees, and multi-asset financial optimization
• Solving stochastic complementarity problems in energy market modeling using scenario reduction
• CORO, a modeling and an algorithmic framework for oil supply, transformation and distribution optimization under uncertainty
• A mixed-integer optimization strategy for oil supply in distribution complexes
• Scenario reduction algorithms in stochastic programming
• Tactical planning of offshore petroleum production
• A note on scenario reduction for two-stage stochastic programs
• Introduction to Stochastic Programming
• Optimal scenario tree reduction for stochastic streamflows in power generation planning problems

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