CORO, a modeling and an algorithmic framework for oil supply, transformation and distribution optimization under uncertainty. The authors present a modeling framework for the optimization of a multiperiod Supply, Transformation and Distribution (STD) scheduling problem under uncertainty on the product demand, spot supply cost and spot selling price. The hydrocarbon and chemical sector has been chosen as the pilot area, but the approach has a far more reaching application. A deterministic treatment of the problem provides unsatisfactory results. We use a 2-stage scenario analysis based on a partial recourse approach, where the STD policy can be implemented for a given set of initial time periods, such that the solution for the other periods does not need to be anticipated and, then, it depends on the scenario to occur. In any case, it takes into consideration all the given scenarios. Novel schemes are presented for modeling multiperiod linking constraints, such that they are satisfied through the scenario tree; they are modeled by using a splitting variable scheme, via a redundant circular linking representation.

References in zbMATH (referenced in 18 articles , 1 standard article )

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  1. Oliveira, F.; Grossmann, I.E.; Hamacher, S.: Accelerating Benders stochastic decomposition for the optimization under uncertainty of the petroleum product supply chain (2014)
  2. Ribas, Gabriela P.; Hamacher, Silvio; Street, Alexandre: Optimization under uncertainty of the integrated oil supply chain using stochastic and robust programming (2010)
  3. Alabi, Adebayo; Castro, Jordi: Dantzig-Wolfe and block coordinate-descent decomposition in large-scale integrated refinery-planning (2009)
  4. Cristobal, M.Pilar; Escudero, Laureano F.; Monge, Juan F.: On stochastic dynamic programming for solving large-scale planning problems under uncertainty (2009)
  5. Di Domenica, Nico; Lucas, Cormac; Mitra, Gautam; Valente, Patrick: Scenario generation for stochastic programming and simulation: a modelling perspective (2009)
  6. Grossmann, Ignacio E.; Furman, Kevin C.: Challenges in enterprise wide optimization for the process industries (2009)
  7. Ierapetritou, Marianthi; Li, Zukui: Modeling and managing uncertainty in process planning and scheduling (2009)
  8. Al-Othman, Wafa B.E.; Lababidi, Haitham M.S.; Alatiqi, Imad M.; Al-Shayji, Khawla: Supply chain optimization of petroleum organization under uncertainty in market demands and prices (2008)
  9. MirHassani, S.A.: An operational planning model for petroleum products logistics under uncertainty (2008)
  10. Alonso-Ayuso, A.; Escudero, L.F.; Ortuño, M.T.: On modelling planning under uncertainty in manufacturing (2007)
  11. Yamashita, Denise Sato; Armentano, Vinícius Amaral; Laguna, Manuel: Robust optimization models for project scheduling with resource availability cost (2007)
  12. Haugen, Kjetil K.; Wallace, Stein W.: Stochastic programming: potential hazards when random variables reflect market interaction (2006)
  13. Zimberg, Bernardo; Testuri, Carlos E.: Stochastic analysis of crude oil procurement and processing under uncertain demand for bunker fuel oil (2006)
  14. Alonso-Ayuso, A.; Escudero, L.F.; Ortuño, M.T.: Modeling production planning and scheduling under uncertainty (2005)
  15. Medova, E.A.; Sembos, A.: Price protection strategies for an oil company (2005)
  16. Más, Rodrigo; Pinto, José M.: A mixed-integer optimization strategy for oil supply in distribution complexes (2003)
  17. Dempster, M.A.H.; Hicks Pedrón, N.; Medova, E.A.; Scott, J.E.; Sembos, A.: Planning logistics operations in the oil industry (2000)
  18. Escudero, Laureano F.; Quintana, Francisco J.; Salmerón, Javier: CORO, a modeling and an algorithmic framework for oil supply, transformation and distribution optimization under uncertainty (1999)