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Multiobjective Location Model Design Based on Government Subsidy in the Recycling of CDW

机译:CDW回收中基于政府补贴的多目标选址模型设计

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摘要

With the generation of a large amount of construction and demolition waste (CDW), many scholars have recently paid more attention to the recycling ofCDW. In this paper, we design a classification recycling method based on the degree ofCDWavailability in the recycling of CDW. Considering the important role of the government in reverse logistics, a model of reverse logistics network based on the trade-off between cost and recycling rate is put forward, which is subject to government subsidy. The model includes the location of classification processing center and ensures the best route of transportation. Then, the improved particle swarmoptimization algorithmis applied to solve the model to get Pareto frontier by transforming it into amultiobjective integer-programming problem. As a case study, the results of the statistical modeling used in this study indicate the feasibility of the model. Finally, according to the sensitivity analysis of government's subsidy, we evaluate the effectiveness of this program and its applicability.
机译:随着大量建筑废料(CDW)的产生,许多学者近来更加关注CDW的回收利用。本文设计了一种基于CDW回收CDW可用度的分类回收方法。考虑到政府在逆向物流中的重要作用,提出了一种基于成本与回收率之间权衡的逆向物流网络模型,该模型受政府补贴。该模型包括分类处理中心的位置,并确保最佳的运输路线。然后,将改进的粒子群优化算法应用于模型求解,将其转化为多目标整数规划问题,从而获得帕累托边界。作为案例研究,本研究中使用的统计建模结果表明了该模型的可行性。最后,根据对政府补贴的敏感性分析,我们对该方案的有效性及其适用性进行了评估。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第10期|9081628.1-9081628.9|共9页
  • 作者单位

    Zhejiang Gongshang Univ, Logist Management & Engn, Hangzhou 310018, Zhejiang, Peoples R China;

    Zhejiang Gongshang Univ, Logist Management & Engn, Hangzhou 310018, Zhejiang, Peoples R China;

    Zhejiang Gongshang Univ, Logist Management & Engn, Hangzhou 310018, Zhejiang, Peoples R China;

    Zhejiang Gongshang Univ, Logist Management & Engn, Hangzhou 310018, Zhejiang, Peoples R China;

    Zhejiang Gongshang Univ, Logist Management & Engn, Hangzhou 310018, Zhejiang, Peoples R China;

    Zhejiang Gongshang Univ, Logist Management & Engn, Hangzhou 310018, Zhejiang, Peoples R China;

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