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APPROACHES FOR SOLVING THE FIXED CHARGE TRANSPORTATION PROBLEM.

机译:解决固定电荷运输问题的方法。

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摘要

The fixed charge transportation problem frequently arises in production systems, physical distribution, data processing problems, etc. The problem is a variation of the classical linear cost transportation problem. In addition to the linear costs associated with the transportation of a commodity from a supply to a destination, a fixed charge is assessed whenever transportation occurs between a supply and destination. This fixed charge may be different for every supply-destination pair.;We develop two heuristic procedures to solve the fixed charge transportation problem. These are the Iterative Linear Programming Heuristic and the Dual Setting Heuristic. The iterative linear programming heuristic is shown to give good feasible solutions.;We also develop an a priori characterization of the difficulty of a problem based on its data. We show that the difficulty of the problem is a function of the ratio of fixed costs and variable costs; the shape of the problem; the size of the problem; the arc density and the fixed charge arc density of the problem. We show that the rules defined are able to identify problems that are difficult to solve.;All methods were implemented and tested using a randomly generated fixed charge transportation problems. Results of these tests are reported.;This problem can be mathematically formulated as an integer programming problem. Numerous attempts have been made to solve this problem. All the successful attempts use a branch and bound strategy to the problem. The bounding used in these approaches is a linear programming bound augmented by suitable penalties. We develop new penalties which are superior to those used in the past. These penalties are shown to be computationally superior to other penalties. To accelerate the branch and bound process we examine duality-based bounds. In this context we study Lagrangean and surrogate bounds. We also examine the newly introduced Lagrangean decomposition relaxation. We introduce a surrogate decomposition relaxation and study its properties in the context of the fixed charge transportation problem. The duality-based bounds are found to be ineffective in accelerating the branch and bound process.
机译:固定费用运输问题经常出现在生产系统,物流,数据处理等问题中。该问题是经典线性成本运输问题的一种变体。除了与商品从供应到目的地的运输相关的线性成本外,每当在供应商和目的地之间发生运输时,就会评估固定费用。每个固定目的地的固定费用可能都不同。;我们开发了两种启发式程序来解决固定费用运输问题。这些是迭代线性规划启发式和双重设置启发式。迭代线性规划启发式算法被证明可以提供良好的可行解。;我们还根据问题的数据发展出对问题难度的先验表征。我们表明,问题的难度是固定成本与可变成本之比的函数。问题的形式;问题的规模;电弧密度和固定电荷电弧密度的问题。我们证明所定义的规则能够识别难以解决的问题。所有方法都是使用随机产生的固定电荷运输问题实施和测试的。报告了这些测试的结果。可以在数学上将该问题公式化为整数编程问题。已经进行了许多尝试来解决这个问题。所有成功的尝试都使用分支定界策略来解决问题。这些方法中使用的边界是通过适当的惩罚增加的线性编程边界。我们制定了比过去更严厉的新罚则。这些惩罚在计算上优于其他惩罚。为了加速分支和绑定过程,我们研究了基于对偶的边界。在这种情况下,我们研究拉格朗日和替代边界。我们还研究了新引入的拉格朗日分解弛豫。我们介绍了替代分解弛豫,并在固定电荷运输问题的背景下研究了其性质。发现基于对偶性的边界在加速分支和边界过程中无效。

著录项

  • 作者

    PALEKAR, UDATTA S.;

  • 作者单位

    State University of New York at Buffalo.;

  • 授予单位 State University of New York at Buffalo.;
  • 学科 Industrial engineering.;Transportation.
  • 学位 Ph.D.
  • 年度 1986
  • 页码 221 p.
  • 总页数 221
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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