Abstract
Short-term detailed multiproduct pipeline scheduling is a complex problem with many industry-specific constraints. We are interested in solving an operational scheduling problem of a straight pipeline in the phosphate industry. In this article, we propose a mixed-integer linear programming model (MILP) with a discrete-time formulation to provide a detailed scheduling solution for a storage-sensitive problem. The objective is to determine the charging and discharging schedule of the slurry pipeline, to satisfy products demand while respecting all pipeline and storage constraints. The model was tested on different instances, proving to be able to minimize products sold-outs and the total water quantity scheduled.
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