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Storage space allocation problem at inland bulk material stockyard

机译:内陆散料堆场的仓储空间分配问题

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摘要

We consider the storage space allocation problem at an inland bulk stockyard, which aims to find an effective way to store the shapeless materials. Due to the specific storage and handling means in the stockyard, unloading, stacking and reclaiming operations need to be scheduled in an integrated manner. Viewing the space of each stock pad in the yard as a series of unit slots, we first develop a novel MIP formulation which can avoid generating scattered small fields. We then decompose the model by exploiting the relationships among the above operations, and develop a logic-based Benders approach to solve it optimally.
机译:我们考虑在内陆散货堆场的存储空间分配问题,目的是找到一种有效的方法来存储无形材料。由于堆场中特定的存储和处理方式,需要以集成的方式安排卸载,堆叠和回收操作。通过将院子中每个存货盘的空间视为一系列单元插槽,我们首先开发了一种新颖的MIP公式,可以避免产生分散的小场。然后,我们通过利用上述操作之间的关系来分解模型,并开发基于逻辑的Benders方法来对其进行最佳求解。

著录项

  • 来源
    《Transportation Research》 |2020年第2期|101856.1-101856.13|共13页
  • 作者

  • 作者单位

    Northeastern Univ Key Lab Dam Analyt & Optimizat Smart Ind Minist China Boston MA 02115 USA;

    Liaoning Engn Lab Operat Analyt & Optimizat Smart Shenyang 110819 Peoples R China;

    Northeastern Univ Inst Ind & Syst Engn Shenyang 110819 Peoples R China;

    Loughborough Univ Sch Business & Econ Loughborough LE11 3TU Leics England;

    Liaoning Key Lab Mfg Syst & Logist Shenyang 110819 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Storage space allocation; Bulk material; Benders decomposition;

    机译:存储空间分配;散装物料;弯曲分解;

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