Scheduling Ocean Transportation of Crude Oil
Abstract
A crude tanker scheduling problem faced by a major oil company is presented and solved using an elastic set partitioning model. The model takes into account all fleet cost components, including ships' time, port and canal charges, ships' demurrage and bunker fuel. The model determines the optimal speeds of the ships and the best routing of ballast legs, as well as which cargos to load on controlled ships and which to spot charter. All feasible routes, and only feasible routes, are generated and the best set of routes is selected. The optimal integer solution to set partitioning problems with thousands of binary variables is derived in less than a minute of CPU time.
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