商业研究

商业研究

• 物流研究 •    下一篇

物联网环境下生鲜农产品物流配送路径优化研究

李昌兵，汪尔晶，袁嘉彬   

  1. 重庆邮电大学 经济管理学院，重庆 400065
  • 收稿日期:2016-11-07 出版日期:2017-04-18
  • 作者简介:李昌兵（1970-），男，四川华蓥山人，重庆邮电大学经济管理学院教授，工学博士，研究方向：复杂网络分析、智能决策及优化；汪尔晶（1992-），男，江苏连云港人，重庆邮电大学经济管理学院研究生，研究方向：物流规划与设计。
  • 基金资助:
    国家自然科学基金资助项目，项目编号：60905066；重庆教委科技项目，项目编号：KJ070509；电子商务与现代物流重庆高校市级重点实验室项目，项目编号：ECML201403；重庆邮电大学自然科学基金资助项目，项目编号：A2009-03。

Research on the Optimization of Logistics Distribution Route of Fresh Agricultural Produce under Internet of Things

LI Chang-bing, WANG Er-jing, YUAN Jia-bin   

  1. School of Economics and Management, Chongqing University of Posts and Telecommunications,Chongqing 400065, China)
  • Received:2016-11-07 Online:2017-04-18

摘要： 针对传统生鲜农产品物流配送模式存在的不足，本文综合考虑物联网技术优势和生鲜农产品的特点，引入模糊时间窗函数、客户满意度函数、农产品损耗函数等主要约束条件，构建以客户满意度最大、配送费用最小为目标的物联网环境下多目标路径优化模型，提出物联网环境下生鲜农产品的配送模式；基于Matlab软件和改进后的遗传算法对模型进行仿真，通过多次遗传算法叠加得到模型最优解，以期为生鲜农产品物流配送路径的决策选择提供参考。

关键词: 物联网, 生鲜农产品, 路径优化, 改进后的遗传算法

Abstract: For the shortcomings of logistics distribution mode of traditional fresh agricultural produce, after considering the advantages of Internet of Things and the characteristics of fresh agricultural produce, this paper sets up multi-objective route optimization model that takes he highest customer satisfaction and the lowest delivery cost as goal under Internet of Things with fuzzy time window function, customer satisfaction function, agricultural produce loss function and other major constraint conditions introduced, and puts forward a new distribution mode under the Internet of Things; the model is simulated on the basis of Matlab software and improved genetic algorithm, and the optimal solution of the model is obtained by the superposition of several genetic algorithms, to provide reference for people to choose logistics distribution route of fresh agricultural produce.

Key words: Internet of Things, fresh agricultural produce, optimization of route, improved genetic algorithm