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An optimization model and algorithm for the production planning ofoverall refinery

机译:炼油厂生产计划的优化模型和算法

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This paper addressed a production planning optimization problem of overall refinery. We formulatethe optimization problem as mixed integer linear programming. The model considers the main factors foroptimizing the production plan of overall refinery related to use of run-modes of processing units. The aim of theplanning is to decide which run-mode to use in each processing unit in each period of a given horizon in order tosatisfy the demand while minimizing the total cost of production and Inventory. The resulting model can beregarded as a generalized lot-sizing problem where a run-mode can produce and consume more than one product.The resulting optimization problem is large-sized and NP-hard. We propose a column generation-basedalgorithm called branch-and-price (BP) for solving the interested optimization problem. The model andimplementation of the algorithm are described in detail in this paper. The computational results verify theeffectiveness of the proposed model and solution method.
机译:本文讨论了整体炼油厂的生产计划优化问题。我们制定 最优化问题是混合整数线性规划。该模型考虑了以下主要因素 优化与使用加工单元运行模式有关的整体精炼厂的生产计划。目的 规划是要确定在给定范围的每个周期中每个处理单元中使用哪种运行模式,以便 在最小化生产和库存总成本的同时满足需求。生成的模型可以是 被认为是普遍的批量问题,运行模式可以生产和消费多个产品。 所产生的优化问题是大型且NP困难的。我们建议基于列生成 一种用于解决感兴趣的优化问题的算法,称为分支价格(BP)。模型和 本文详细描述了该算法的实现。计算结果验证了 所提模型和求解方法的有效性。

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