工业工程 ›› 2021, Vol. 24 ›› Issue (3): 115-120,160.doi: 10.3969/j.issn.1007-7375.2021.03.015

• 实践与应用 • 上一篇    下一篇

大规模基站运维优化与车队规划研究

周游, 朱文斌   

  1. 华南理工大学 工商管理学院,广东 广州 510641
  • 收稿日期:2020-03-10 发布日期:2021-06-26
  • 作者简介:周游(1994-),男,广东省人,硕士研究生,主要研究方向为车辆路径规划、库存管理、排班优化、装箱问题
  • 基金资助:
    国家自然科学基金资助项目(71501075);广东省自然科学基金杰出青年基金资助项目(2015A030306007);中央高校基本科研业务费专项资金资助项目(2019ZD15)

A Research on Large-scale Base Station Maintenance Optimization and Fleet Planning

ZHOU You, ZHU Wenbin   

  1. School of Business Administration, South China University of Technology, Guangzhou 510641, China
  • Received:2020-03-10 Published:2021-06-26

摘要: 研究了考虑充电量决策的大规模基站断电运维的多车辆路径规划问题。目标是在运维能力有限的条件下最小化基站断电产生的损失和车辆运行成本的加权总和。分析了该问题区别于传统取送货问题的差异与难点,利用图论模型建立了动态多阶段车辆路径的混合整数规划模型,利用库存理论辅助基站充电量的决策并通过软时间窗口对车辆服务与路径规划进行约束,最后设计了基于局部最优插入和变邻域搜索的动态算法框架进行求解。基于中国铁塔公司真实数据生成的多个算例验证了该算法可以显著降低运维成本,并协助公司进行运维车队规模的规划。

关键词: 动态取送货问题, 库存理论, 变邻域搜索, 基站运维

Abstract: The multi-vehicle routing problem of large-scale base station outage maintenance is studied, aiming to minimize the weighted sum of the loss caused by the outage of the base station and the vehicle travelling cost under the condition of limited operation and maintenance capacity. The differences and difficulties between this problem and the traditional pickup-and-delivery problem are analyzed, and a mixed integer programming model of dynamic multi-stage vehicle routing established by using graph theory model, the decision of base station charging volume assisted by using inventory theory and vehicles' service and routing constrained through soft time window, and finally a dynamic algorithm framework is designed based on local optimal insertion and variable neighborhood search for optimal solution. Several examples based on the real data generated by China Tower Corp. Ltd. show that the algorithm can significantly reduce the operation and maintenance cost and help the company to plan the scale of the fleet.

Key words: dynamic pickup-and-delivery problem, inventory theory, variable neighborhood search, base station maintenance

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