管理评论 ›› 2022, Vol. 34 ›› Issue (10): 258-269.

• 物流与供应链管理 • 上一篇    下一篇

带模糊工作时间窗的多配送中心同时集散货物车辆路径问题

邓忆瑞, 郑瑶, 姜明月, 徐小峰   

  1. 中国石油大学(华东)经济管理学院, 青岛 266580
  • 收稿日期:2019-12-02 出版日期:2022-10-28 发布日期:2022-11-24
  • 通讯作者: 徐小峰,中国石油大学(华东)经济管理学院教授,博士。
  • 作者简介:邓忆瑞,中国石油大学(华东)经济管理学院副教授,博士;郑瑶,中国石油大学(华东)经济管理学院硕士研究生;姜明月,中国石油大学(华东)经济管理学院硕士研究生;徐小峰,中国石油大学(华东)经济管理学院教授,博士。
  • 基金资助:
    山东省社会科学规划研究项目(19CGLJ31);教育部人文社会科学研究青年基金项目(20YJC630015)。

VRP of Simultaneous Pickup and Delivery Goods in Multiple Centers with Fuzzy Time Window

Deng Yirui, Zheng Yao, Jiang Mingyue, Xu Xiaofeng   

  1. School of Economics and Management, China University of Petroleum, Qingdao 266580
  • Received:2019-12-02 Online:2022-10-28 Published:2022-11-24

摘要: 在线资源的特性使得配送车辆采用分时租赁的模式为客户进行服务,配送车辆路径问题呈现多模糊时间窗特性。本文构建了带有模糊工作时间窗的多配送中心同时集散货物车辆路径模型,以最小化配送成本、车辆使用数,最大化服务质量为优化目标。根据客户期望时间窗、硬时间窗、软时间窗,改进了线性梯形隶属度函数表示客户模糊满意度。模型的求解采用自适应大规模邻域搜索算法,通过引入多种群搜索机制和非支配排序操作,加快算法收敛速度、增强算法全局寻优能力。最后,通过算例求解验证模型和改进算法的有效性和优越性。

关键词: 模糊时间窗, 模糊满意度, 同时集散货物, 车辆路径问题

Abstract: The characteristics of online resources make it necessary to serve customers by using the lease mode of sharing distribution vehicles, but the resultant distribution routing becomes challenging due to multiple fuzzy time windows. In this paper, a VRP model of simultaneous pickup and delivery goods in multiple centers with fuzzy time window is constructed to minimize the distribution cost and the number of vehicles used, and maximize the service quality. By taking the service time window expected by customers, hard time window and soft time window into consideration, this model improves the linear trapezoid membership function to express customer fuzzy satisfaction, and uses the adaptive large-scale neighborhood search algorithm for solution, with a variety of group search mechanisms and nondominated sorting operations introduced to speed up the algorithm convergence and enhance the global optimization ability of algorithm. Finally, the validity and the superiority of the model and the improved algorithm are verified by solving a numerical example.

Key words: fuzzy time window, fuzzy satisfaction, simultaneous pickup and delivery goods, VRP