摘要
对于单车辆备件运输路径优化问题,为了在满足系统保障性要求的基础上减少保障费用,提出单车辆备件运输路径的机会约束规划模型。以总费用最小为目标,选择备件保障概率、供应可用度和保障延误时间3个保障性指标作为约束条件,分别给出3个指标与路径及运输量相关的新的定义,以机会约束规划的思想进行建模;将随机模拟嵌入遗传算法,设计了混合智能算法对模型求解,通过算例分析验证了模型的有效性和可行性。
Maintaining the stability,continuity and efficiency of spare parts supply is an important part of integrated logistic support.How to ensure the stability,sustainability and efficiency of spare parts supply is an urgent problem in the research of integrated logistic support.This paper optimizes the vehicle transport path of spare parts.The index parameters that affect the system supportability is taken into consideration as well as their quantifications.The chance constraint optimization model of spare parts transportation path with single vehicle based on the characteristics of system supportability constraints is established.A numerical example is designed and analyzed with genetic algorithm.The validity and feasibility of the model are verified by the example.
作者
赵瑞
陈浩然
葛子阳
Zhao Rui;Chen Haoran;Ge Ziyang(School of Sciences,Tianjin University of Technology,Tianjin 300384,China;School of Reliability and Systems Engineering,Beihang University,Beijing 100191,China)
出处
《南京理工大学学报》
EI
CAS
CSCD
北大核心
2020年第4期441-445,共5页
Journal of Nanjing University of Science and Technology
基金
国家自然科学基金(61871013,71671009)。
关键词
路径优化
备件供应
装备综合保障
遗传算法
path optimization
spare parts supply
integrated equipment supply
genetic algorithm
