Stochastic programming approach for the optimal tactical planning of the downstream oil supply chain.

•We study different sources of uncertainty faced by the downstream oil supply chain.•We investigate the uncertainties as correlated stochastic processes.•We use scenario-based approach and time series analysis as auxiliary methodologies.•We develop a multistage stochastic linear model for the optimal tactical planning.•We apply scenario reduction approach to obtain a smaller representation of the original problem.