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A heuristic algorithm for scheduling hazardous waste incinerators.

机译:用于安排危险废物焚化炉的启发式算法。

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摘要

This research developed a method for efficiently scheduling waste feeds to an industrial hazardous waste incinerator. The research developed a simulated annealing linear programming heuristic to solve the problem. Operating data from an industrial incinerator was used to test the algorithm. The algorithm proved effective on scheduling commercial size problems. Computational experiments indicate the problem is less challenging if a single permit limit is more binding than the individual lance limits. The algorithm was implemented in Microsoft Visual C++(TM) with COIN-OR CLP(TM) employed to solve the linear program. Microsoft Access(TM) was employed to store the problem and output schedules so that the algorithm can be deployed to a generic incinerator environment.;Part of the field study included a six-sigma project to improve the scheduling of feeds to an industrial incinerator at the sponsoring company's plant. The author spent a summer working at the incinerator site as a member of a production scheduling team. The purpose of the project was to study and provide improvements to the scheduling process. Some of the tools developed during the project are in use at the plant. Details and improvements made to the scheduling process are included in this field study.
机译:这项研究开发了一种有效地安排向工业危险废物焚化炉中进料的方法。该研究开发了一种模拟退火线性规划启发式方法来解决该问题。来自工业焚烧炉的运行数据用于测试算法。该算法被证明对调度商业规模问题有效。计算实验表明,如果单个许可限制比单个喷枪限制更具约束力,则该问题的挑战性较小。该算法在Microsoft Visual C ++(TM)中实现,并使用COIN-OR CLP(TM)来求解线性程序。 Microsoft Access(TM)用于存储问题和输出计划,以便将该算法部署到通用焚化炉环境中。现场研究的一部分包括一个六西格码项目,以改善工业焚化炉的进料计划。赞助公司的工厂。作者度过了一个暑假,作为生产调度小组的成员在焚化炉现场工作。该项目的目的是研究并改进调度过程。在项目中开发的一些工具正在工厂中使用。计划研究的细节和改进都包含在此现场研究中。

著录项

  • 作者

    Schulte, Carol E.;

  • 作者单位

    Lamar University - Beaumont.;

  • 授予单位 Lamar University - Beaumont.;
  • 学科 Engineering Industrial.;Operations Research.
  • 学位 D.E.
  • 年度 2008
  • 页码 148 p.
  • 总页数 148
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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