Stochastic chance constrained mixed-integer nonlinear programming models and the solution approaches for refinery short-term crude oil scheduling problem

DOI10.1016/J.APM.2010.02.015zbMath1201.90096OpenAlexW2049174781MaRDI QIDQ611563

Xingsheng Gu, Cuiwen Cao, Zhong Xin

Publication date: 14 December 2010

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2010.02.015

zbMATH Keywords

uncertaintystochastic simulationMINLPdiscrete/continuous joint probability distributionsshort-term crude oil scheduling problemstochastic chance constrained

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Mixed integer programming (90C11) Stochastic programming (90C15) Stochastic scheduling theory in operations research (90B36) Case-oriented studies in operations research (90B90)

Related Items (5)

Multicriteria modeling and tradeoff analysis for oil load dispatch and hauling operations at Noble energy ⋮ A framework for crude oil scheduling in an integrated terminal-refinery system under supply uncertainty ⋮ Short‐term crude oil scheduling with preventive maintenance operations: a fuzzy stochastic programming approach ⋮ Multi-objective optimization model for a downstream oil and gas supply chain ⋮ Fuel treatment planning: fragmenting high fuel load areas while maintaining availability and connectivity of faunal habitat

Uses Software

• FilMINT

Cites Work

• Refinery short-term scheduling with tank farm, inventory and distillation management: an integrated simulation-based approach
• Chance constrained programming models for refinery short-term crude oil scheduling problem
• Stochastic vehicle routing
• A multi-stage stochastic integer programming approach for capacity expansion under uncertainty
• Sustainable ecosystem management using optimal control theory. II: Stochastic systems
• Allocation under Uncertainty when the Demand has Continuous D.F.
• Chance-Constrained Programming

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