考虑不确定性的多阶段装备维修器材供应优化方法  

Optimization Methods for Multi-stage Equipment Maintenance Material Supply in View of Uncertainty

作　　者：张闯 曹军海 李延通 郭一鸣 滕尚儒 ZHANG Chuang;CAO Junhai;LI Yantong;GUO Yiming;TENG Shangru(Department of Equipment Support and Remanufacturing,Army Academy of Armored Forces,Beijing 100072,China;Academy of Equipment Management and Support,Engineering University of PAP,Xi’an 710086,China;School of Maritime Economics and Management,Dalian Maritime University,Dalian 116026,China;Beijing Institute of remote sensing information,Beijing 100020,China)

机构地区：[1]陆军装甲兵学院装备保障与再制造系,北京100072 [2]武警工程大学装备管理与保障学院,西安710086 [3]大连海事大学航运经济与管理学院,辽宁大连116026 [4]北京市遥感信息研究所,北京100020

出　　处：《火力与指挥控制》2023年第3期35-42,共8页Fire Control & Command Control

基　　金：国防预研基金资助项目(61400010301)。

摘　　要：装备维修器材供应是作战部队持续保持战斗力的关键。考虑多阶段作战行动中,战场形势、部队位置及需求量等不确定性,将野战仓库选址、需求分配、供应路径规划融合为一类选址-路径组合优化问题,构建基于情境的多阶段混合整数规划模型。设计一种两阶段迭代启发式算法对问题进行求解。基于20个算例的数值实验,证明了所提出的模型及算法在具有高度不确定性的多阶段装备维修器材供应保障中的有效性。The supply of equipment maintenance material is essential for the combat forces to maintain their continuous combat effectiveness.In view of the uncertainty of battlefield situation,the location of units and their demands in multi-stage operations,the location selection of field depot,requirement allocation and route planning of supply are integrated into a location selection-routing combination optimization problem and multi-stage mixed integer programming model is constructed based on scenarios.A two-phase iterative heuristic algorithm is designed to solve the problem.The numerical experiments based on 20 instances show that the model and algorithm proposed in this paper are effective in the multi-stage equipment maintenance material supply under high uncertainty.

关 键 词：装备维修器材 多阶段供应 组合优化 两阶段迭代启发式算法 不确定性 

分 类 号：E92[军事—军事装备学]