计算机与现代化

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废旧家电回收物流网络的选址-定价模型及算法

  

  1. (郑州大学管理工程学院,河南 郑州 450001)
  • 收稿日期:2015-02-15 出版日期:2015-05-18 发布日期:2015-05-18
  • 作者简介:狄卫民(1970-),男,山东嘉祥人,郑州大学管理工程学院副教授,博士,研究方向:物流系统优化; 赵冬(1989-),男,河南安阳人,硕士研究生,研究方向:物流与供应链管理。
  • 基金资助:
    国家自然科学基金资助项目(71001091); 教育部人文社会科学研究青年基金资助项目(10YJC630041); 河南省教育厅自然科学研究计划项目(2011B630018)

Location-pricing Model and Algorithm for Waste Household Appliance Returned Logistics Network

  1. (School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China)
  • Received:2015-02-15 Online:2015-05-18 Published:2015-05-18

摘要: 为合理设计废旧家电回收物流网络,结合展望理论和几何平均合成方法构造消费者交付满意度函数,建立该类网络的选址-定价联合决策模型。利用该模型可以确定收集点和回收中心的开设位置、收集点的废旧家电收购价格以及消费者的满意收集点。为便于模型求解,提出嵌入贪婪算法和线性规划精确算法的混合遗传算法,介绍算法的实现步骤。最后通过算例验证模型及算法的有效性。

关键词: 回收物流网络, 选址-定价联合决策模型, 双层规划, 混合遗传算法, 废旧家电

Abstract: To acquire reasonable waste household appliance returned logistics network, a waste returning satisfaction function for consumers was constructed based on prospect theory and geometric average synthesis method, and a joint location-pricing decision model for this kind of returned logistics network was developed. With the help of the model, the following items could be determined, such as optimal sites for collection station and return center, purchase price for each collection station and favorite collection station for each consumer. To solve the model, a hybrid genetic algorithm embedded greedy algorithm and exact algorithm of linear programming was presented, and its realization steps were explained. Finally, effectiveness of the model and its algorithm were verified by an example.

Key words: returned logistics network, joint location-pricing decision model, bi-level programming, hybrid genetic algorithm, waste household appliance

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