基于改进多目标烟花算法的顶制构件配送优化研究  

Research on Distribution Optimization of Prefabricated Components Based on Improved Multi-objective Fireworks Algorithm

作　　者：汪和平[1] 赵登宇 陈梦凯 Wang Heping;Zhao Dengyu;Chen Mengkai

机构地区：[1]安徽工业大学管理科学与工程学院,马鞍山243002

出　　处：《复印报刊资料（物流管理）》2023年第2期64-72,共9页LOGISTICS MANAGEMENT

基　　金：国家自然科学基金项目(71872002);安徽省哲学社会科学规划项目(AHSKY2018D15)。

摘　　要：在运输阶段,预制构件从生产工厂运送到施工工地,长距离、大体积、易损伤等因素导致其物流成本偏高,科学合理的配送方案有助于降低物流成本。本文基于运输成本、配送效率、配送时间等多维度的现场需求,建立了将运输成本作为第一目标,收货方的客户满意度作为第二目标,车队的平均实载率作为第三目标的混合车队配送模型。最后以预制构件生产工厂为算例,利用遗传算法的交又变异过程对多目标烟花算法进行改进并对模型进行求解,从分析求解结果可以得出,该模型在有效降低了配送成本的同时,提高了客户满意度以及平均实载率,证明了模型的实用性与可行性。The transportation of prefabricated components from the production plant to the construction site may cause high logistics cost due to transportation distance,component size and wastage.A scientific and reasonable distribution scheme can help reduce the logistics cost.Based on multi-dimensional field demands such as transportation cost,delivery efficiency and delivery time,this paper establishes a mixed fleet distribution model with transportation cost as the first target,customer satisfaction of the receiver as the second target,and average load rate of the fleet as the third target.Finally,taking the prefabricated component factory as an example,the multi-objective fireworks algorithm is improved and the model is solved by using the crossover mutation process of genetic algorithm.The results show that the model can effectively reduce the distribution cost and improve the customer satisfaction and average load rate,so the model has good practicability and feasibility.

关 键 词：预制构件 满意度 实载率 混合车队配送模型 多目标烟花算法 

分 类 号：F252[经济管理—国民经济] TP18[自动化与计算机技术—控制理论与控制工程]