4PL模式下物流任务分配问题研究

Research on Logistics Order Allocation in 4PL Environment

由于供应链上的物流需求和物流企业服务质量的多样性,4PL模式下的物流任务分配问题成为典型的多目标优化问题。在对该问题的影响因素分析的基础上,提出了基于遗传算法的4PL模式下物流任务分配的优化模型;运用遗传算法的基本原理,采用自然数编码、引入惩罚函数、大种群尺度和较小交叉概率等方法,对该模型的算法进行了设计;最后给出一个典型算例,说明该模型和算法的有效性。

Due to the diversity of logistics demands along the supply chain and difference between the service quality of logistics enterprises, logistics order allocation in the 4PL environment has become a canonical multi-objective optimization problem. On the basis of the analysis of its influence factors, the paper proposes a optimization model of logistics order allocation within 4PL environment based on genetic algorithm and, in accordance with the basic principle of the algorithm, employs natural number coding, penalty function, large population size and smaller crossover probability, etc., to its development. Finally a canonical numerical example is given to prove the validity of the model and algorithm.