Abstract
The scheduling of multiple products through pipelines, to meet a demand over a considered time horizon, is a challenging problem that many researchers have been interested in. Although pipelines are considered mainly in the petroleum industry, they can also be used in other industries. This paper deals with the multiproduct pipeline network scheduling problem in the context of mining industry. The objective is to schedule a sequence of batches, to be transported through the pipeline network, to ensure all product demand, while respecting the different technical constraints. The proposed approach is a MILP model with a continuous representation of time and batch volume. It provides maximizes the volume of batches to satisfy all product demands. The model was tested using different instances over a short-term horizon.
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