• 论文 •    

行驶时间延迟的物流配送干扰管理模型及算法

杨文超,王征,胡祥培,王雅楠   

  1. 1.大连理工大学 系统工程研究所,辽宁大连116024;2.大连理工大学 软件学院,辽宁大连 116620
  • 出版日期:2010-02-15 发布日期:2010-02-25

Disruption management model and algorithm for urban distribution with travel time delay

YANG Wen-chao, WANG Zheng, HU Xiang-pei, WANG Ya-nan   

  1. 1.Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, China;2.Software School, Dalian University of Technology, Dalian 116620, China
  • Online:2010-02-15 Published:2010-02-25

摘要: 针对物流配送过程中某路段行驶时间延迟而导致物流配送计划无法实现的难题,运用干扰管理方法,从客户满意度、驾驶员满意度和配送成本三方面衡量物流配送系统的扰动程度。针对带有时间窗的物流配送车辆路径问题,建立了目标规划数学模型,设计了用于求解该类问题的一种遗传算法,该算法采用二维染色体结构,以及适合多目标决策模型的适应值计算方法。最后,通过算例验证了所提干扰管理模型及算法的有效性。

关键词: 行驶时间延迟, 物流配送, 干扰管理, 目标规划模型, 遗传算法

Abstract: During the process of urban distribution, travel time delay of a route will often lead to the infeasibility of the initial distribution schedule. To solve this problem, a disruption measurement method was presented, which took customers and drivers satisfactions, and distribution cost into considerations. For vehicle routing problems with time windows in urban distribution, an objective programming model was constructed and a genetic algorithm was applied to solve this model. The algorithm employed a two-dimension chromosome structure and a fitness evaluation method for multi-objective decision models was proposed. Finally, the validity of the objective programming model and its genetic algorithm was proved by experiments.

Key words: travel time delay, distribution, disruption management, objective programming model, genetic algorithm

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