摘要
针对传统的任务装备器材保障模式时效性、灵活性、持续性较差的问题,提出一种基于任务的装备器材多阶段动态供应策略,以总保障成本最小、超储器材利用率最高、任务重要度最高为目标,建立了基于任务的装备器材多阶段动态供应调度模型,并采用动态粒子群算法对模型进行了求解,最后通过实例仿真验证了模型和策略的合理性、可行性。
Aiming at the problem of poor time-effectiveness,flexibility and sustainability of traditional equipment material supply mode,a multi-stage dynamic supply strategy of equipment materials ba-sed on task is proposed.With the goal of minimum total support cost,highest utilization of ultra-storage equipment and highest mission importance,a multi-stage dynamic supply scheduling model of task-based equipment is established and solved with dynamic Particle Swarm Optimization(PSO).Finally,the rationality and feasibility of the model and strategy are verified through an example simulation.
作者
杨帆
赵战彪
曹钰
YANG Fan.ZHAO Zhan-biao;CAO Yu(Equipment Support and Remanufacturing Department,Army Academy of Armored Forces,Beijing 100072;Scientific Research and Academics Division,Army Academy of Armored Forces,Beijing 100072)
出处
《装甲兵工程学院学报》
2018年第5期29-32,41,共5页
Journal of Academy of Armored Force Engineering
基金
军队科研计划项目
关键词
装备器材
多阶段动态供应
供应策略
供应模型
equipment materials
multi-stage dynamic supply
supply strategy
supply model
