This paper addresses the optimal scheduling of an oil transportation system characterized by a straight multiproduct pipeline featuring multiple input and output nodes, where products are dispatched to local markets often by tanker trucks. We present a new continuous-time mixed integer…
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An improvement on the scheduling of pumping and delivery operations in an installed pipeline network can lead to considerable profits to the using companies, such as oil companies. This paper proposes a decomposition approach that integrates heuristic procedures and mixed integer linear programming…
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This paper addresses the operation of a unidirectional multiproduct pipeline system integrated with inventory tanks management at the refinery and distribution center. A Mixed Integer Linear Programming (MILP) formulation is proposed to model the scheduling of a pipeline operation…
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In the oil supply chain, products transportation by pipelines is the most used distribution modal, justified by its high volume capacity, reliability, and safety compared to the other transportation modes. The scheduling of pumping and delivery operations in pipelines is a complex problem. Thus, a…
Continue ReadingThis paper proposes a decomposition approach combining heuristic algorithms and Mixed Integer Linear Programming (MILP) models to solve the long-term scheduling of a multiproduct pipeline connecting a single-source to multiple distribution centers. The solution considers many operational…
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Pipelines play an important role in the oil supply chain linking different supply chain echelons and acting as one of the most sustainable, safe economical transportation mode. In this context, multiproduct pipeline scheduling is a key issue to be addressed in an optimized form, namely when…
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