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An optimization model for refinery production scheduling

机译:炼油厂生产调度的优化模型

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In this paper we describe a production planning and scheduling problem in an oil refinery company. The problem concerns the planning and the utilization of a production process consisting of one distillation unit and two hydro-treatment units. In the process crude oil is transformed to bitumen and naphthenic special oils. The aim of the scheduling is to decide which mode of operation to use in each processing unit at each point in time, in order to satisfy the demand while minimizing the production cost and taking storage capacities into account. The production cost includes costs for changing mode and for holding inventory. We formulate a mixed integer linear programming model for the scheduling problem. The model can be regarded as a generalized lot-sizing problem, where inventory capacities are considered and more than one product is obtained for some modes of operation. A number of modifications and extensions of the model are also discussed. It is shown how the optimization model can be used as a viable tool for supporting production planning and scheduling at the refinery, and that it is possible to analyze scheduling scenarios of realistic sizes. It is also shown that the model can support shipment planning and strategic decisions concerning new products and investments in storage capacity.
机译:在本文中,我们描述了一家炼油公司的生产计划和调度问题。问题涉及由一个蒸馏单元和两个加氢处理单元组成的生产过程的计划和利用。在此过程中,原油被转化为沥青和环烷特种油。调度的目的是决定在每个时间点在每个处理单元中使用哪种操作模式,以便在最小化生产成本和考虑存储容量的同时满足需求。生产成本包括更改模式和持有库存的成本。我们为调度问题制定了一个混合整数线性规划模型。该模型可以被视为广义的批量问题,其中考虑了库存能力,并且对于某些操作模式,获得了不止一种产品。还讨论了该模型的许多修改和扩展。它显示了如何将优化模型用作在炼油厂支持生产计划和调度的可行工具,并且可以分析实际尺寸的调度方案。还表明该模型可以支持有关新产品和存储容量投资的装运计划和战略决策。

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