摘要
传统的物流配送中心选址模型过于单一地追求物流成本的最小化,而没有考虑服务的质量与效率.本文将顾客时间满意度作为度量物流服务水平的一个标准,提出了物流配送中顾客时间满意度的计算方法,建立了以物流成本最小化和时间满意度最大化为目标的物流配送中心选址多目标优化模型.采用一种基于NSGA-Ⅱ的多目标进化算法来求解,通过选择合适的编码方法和遗传算子可以得到模型的最优解,并通过实际算例说明了模型和算法的有效性.该模型能一次得到多组有效解,从而可以为物流配送中心选址提供更加全面的决策支持.
The traditional location models only seek to minimize logistics cost without regard to the quality and efficiency of service.It sets the time to satisfy customers as a measurement of the location of logistics distribution centers,proposes the method of calculating the customer-satisfying time,and establishes the multi-objective optimization model with the goal of minimizing the logistics cost and maximizing customers＇satisfaction.A multi-objective evolutionary algorithm,based on NSGA-Ⅱ,was proposed to solve the problem.The optimal solutions to the model were obtained by selecting the appropriate encoding method and genetic operators.A practical example shows the validity of the model and algorithm.This model makes it possible to get several efficient solutions,thus providing a more comprehensive decision support for decision-makers.
出处
《广东工业大学学报》
CAS
2010年第4期76-80,共5页
Journal of Guangdong University of Technology
关键词
配送中心
物流
多目标优化
选址
进化算法
distribution center
logistics
multi-objective optimization
location
evolutionary algorithm
