摘要
针对干扰事件导致物流配送计划难以顺利实施这一难题,运用干扰管理方法,从客户不满意度、配送成本以及路径偏离程度三个方面度量物流配送系统中的扰动,建立字典序的多目标干扰管理模型,采用能够融合多种邻域函数的禁忌搜索算法实现模型的求解,以需求量变动的干扰事件为例,设计算例以验证模型的有效性.试验结果表明:该模型比已有的全局重调度模型更科学——能够均衡各方的利益,得到的干扰应对方案对系统的扰动更小.实际应用中,模型各目标的重要顺序可根据情况灵活更替,客户不满意度的度量方法也可灵活选择,实用性更高.
Unexpected events, which may disable the original distribution plan, occur occasionally in urban distribution systems. In order to solve the difficult problem, the author adopted the methodology of disruption management to construct a lexicographic multi-objective disruption management model to handle the disruption caused by an unexpected event in urban distribution systems. This model measured disruptions from the follow- ing three aspects： Customer dissatisfaction, operational cost and path deviation. Tabu search algorithm, which combines several kinds of neighborhood functions, was adopted to solve the model. The computational results of the model proved that, due to the tradeoff between all parties involved in the distribution system, the model is more effective than existing global rescheduling models. Moreover, it is more flexible and feasible than traditional models in the aspects of objective ranking and customer dissatisfaction measuring in practical applications.
出处
《管理科学学报》
CSSCI
北大核心
2011年第1期50-60,共11页
Journal of Management Sciences in China
基金
国家杰出青年基金资助项目(70725004)
国家自然科学基金资助项目(70890080
70890083
70671014)
关键词
物流配送
干扰管理
多目标规划模型
需求量变动
logistic distribution
disruption management
multi-objective programming model
demand changing
