This chapter will address the strategic planning problem of the distribution chain of oil under uncertainty in demand. This will be formulated and solved models scholastic programming two stages seeking adequately represent the peculiarities inherent in the planning of investments in oil logistics infrastructure . The incorporation of uncertainty in this context inevitably increases the complexity of the problem, which quickly becomes unmanageable as a growing number of scenarios . this difficulty It is contoured based on the approach for sample mean (SAA , English Sample Average Approximation ) for controlling the number of scenes needed to reach a pre - specified level tolerance regarding the quality of the solution.
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