swMATH ID: 2197
Software Authors: Escudero, Laureano F.; Quintana, Francisco J.; Salmerón, Javier
Description: 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.
Homepage: http://www.sciencedirect.com/science/article/pii/S0377221798002616
Keywords: logistic planning; stochastic parameters; implementable periods; scenario analysis; nonanticipativity principle; 2-stage decision making
Related Software: MSLiP; GAMS; ProPlan; ProSched; Aspen Refinery Multi-Blend Optimizer; Aspen Custom Modeler; Aspen Fleet Optimizer; Aspen Petroleum Scheduler; aspenONE; Aspen PIMS; Aspen InfoPlus; GRTMPS; DMCplus; OMNI; ANTIGONE; Ipopt; MSNLP; SUTIL; COMET; CPLEX
Cited in: 24 Publications

Citations by Year