• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Biennial International Pipeline Conference(IPC 2004) vol.3; 20041004-08; Calgary(CA) >OPTIMIZING A PIPELINE OPERATION BY CONSTRAINT LOGIC PROGRAMMING (CLP) AND MIXED INTEGER LINEAR PROGRAMMING (MILP)
【24h】

OPTIMIZING A PIPELINE OPERATION BY CONSTRAINT LOGIC PROGRAMMING (CLP) AND MIXED INTEGER LINEAR PROGRAMMING (MILP)

机译：通过约束逻辑程序设计（CLP）和混合整数线性程序设计（MILP）优化管道操作

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper addresses the problem of developing an optimization structure to aid the operational decision-making in a real-world pipeline scenario. The pipeline connects an inland refinery to a harbor, conveying different types of products (gasoline, diesel, kerosene, alcohol, liquefied petroleum gas, jet fuel, etc). The scheduling of activities has to be specified in advance by a specialist, who must provide low cost operational procedures. The specialist has to take into account issues concerning product availability, tankage constraints, pumping sequencing, flow rate determination, and a series of operational requirements. Thus, the decision-making process is hard and error-prone due to the diversity of aspects to be considered. Nevertheless, the developed optimization structure can aid the specialist in solving the pipeline scheduling task with improved efficiency. Such optimization structure has its core in a novel mathematical approach, which uses Constraint Logic Programming (CLP) and Mixed Integer Linear Programming (MILP) technologies in an integrated CLP-MILP model. In particular, the integration of CLP and MILP technologies has been recognized as an emerging discipline for achieving the best that CLP and MILP can contribute to solve scheduling problems. The scheme used for integrating CLP and MILP is double modeling, and the combined CLP-MILP model is implemented and solved by using a commercial tool. Illustrative instances demonstrate that the optimization structure is able to define new operational points to the pipeline system, providing significant cost saving.
机译：本文解决了开发优化结构以辅助实际管道场景中的操作决策的问题。该管道将​​内陆炼油厂连接到港口，输送不同类型的产品（汽油，柴油，煤油，酒精，液化石油气，喷气燃料等）。活动的时间表必须由专家预先指定，该专家必须提供低成本的操作程序。专家必须考虑到有关产品可用性，储罐限制，泵送顺序，流速确定以及一系列操作要求的问题。因此，由于要考虑的方面的多样性，决策过程既困难又容易出错。然而，开发的优化结构可以帮助专家以更高的效率解决管道调度任务。这种优化结构的核心是一种新颖的数学方法，该方法在集成的CLP-MILP模型中使用约束逻辑编程（CLP）和混合整数线性编程（MILP）技术。尤其是，CLP和MILP技术的集成已被公认为是一种新兴学科，可以实现CLP和MILP可以为解决调度问题做出最大贡献的最佳方法。用于集成CLP和MILP的方案是双重建模，并且使用商业工具来实现和解决组合的CLP-MILP模型。说明性实例表明，优化结构能够为管道系统定义新的操作点，从而节省大量成本。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号