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Optimization of facility location problem in reverse logistics network using Artificial Bee Colony algorithm

机译:基于人工蜂群算法的逆向物流网络设施选址问题的优化

摘要

The management of used products attracts an increasing attention, which brings out the concept of Reverse Logistics. Reverse logistics is the reverse flow of surplus material back to the firm for reuse, repair, remanufacturing, recycling, and disposal of used products. In this research, we use the Artificial Bee Colony (ABC) algorithm to solve the location and allocation problems of collection centers with the goal of minimizing total logistics costs. The performance of ABC algorithm is illustrated in our numerical experiments, which prove it is effective and efficient to handle the design of reverse logistics network. Our research provides useful insights of adopting of ABC algorithm for the optimization problems with multiple constrains.
机译:二手产品的管理引起了越来越多的关注,这提出了逆向物流的概念。逆向物流是将多余的物料反向流回公司,以进行再利用,维修,再制造,回收和处理旧产品。在这项研究中,我们使用人工蜂群(ABC)算法来解决收集中心的位置和分配问题,目的是将总物流成本降至最低。数值实验表明了ABC算法的性能,证明了逆向物流网络的设计是有效的。我们的研究为采用ABC算法解决多约束优化问题提供了有益的见解。

著录项

  • 作者

    Zhang SZ; Lee CKM;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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