• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2018, Vol. 54 ›› Issue (24): 226-232.doi: 10.3901/JME.2018.24.226

• 交叉与前沿 • 上一篇    下一篇

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考虑时间不确定性的战时装备维修任务调度方法

昝翔, 陈春良, 张仕新, 陈伟龙, 梅勇飞   

  1. 陆军装甲兵学院装备保障与再制造系 北京 100072
  • 收稿日期:2017-11-24 修回日期:2018-05-07 出版日期:2018-12-20 发布日期:2018-12-20
  • 通讯作者: 陈春良(通信作者),男,1963年出生,教授,博士研究生导师。主要研究方向为装备保障。E-mail:chenchunliang@163.com
  • 作者简介:昝翔,男,1989年出生,博士研究生。主要研究方向为装备保障。E-mail:994401550@qq.com
  • 基金资助:
    军队科研计划资助项目(2015WG57)。

Task Scheduling Method for Wartime Equipment Maintenance Considering Time Uncertainty

ZAN Xiang, CHEN Chunliang, ZHANG Shixin, CHEN Weilong, MEI Yongfei   

  1. Department of Equipment Support and Remanufacturing, Academy of Army Armored Force, Beijing 100072
  • Received:2017-11-24 Revised:2018-05-07 Online:2018-12-20 Published:2018-12-20

摘要: 战时装备维修任务调度可以根据实时更新的维修任务信息,及时调整装备维修方案,充分发挥其对作战的支援作用。针对战时维修任务调度中对时间不确定性因素考虑不足的问题,构建一种装备维修任务调度模型,该模型以维修任务出现的随机性、维修时间的不确定性和机动时间的不确定性为驱动条件,将维修时间和维修能力作为约束条件,以保持修复装备重要度之和最大为决策目标,进行装备维修任务调度,可以及时调整维修方案,规划最优维修任务执行路径。为了快速准确地获得装备维修任务调度结果,采用一种改进最大—最小蚂蚁系统求解维修任务调度模型。最后,通过算例验证运用该方法进行维修任务调度的及时性和有效性。

关键词: 时间不确定性, 维修任务调度, 最大-最小蚂蚁系统

Abstract: Equipment maintenance task scheduling in wartime can adjust equipment maintenance plan rapidly based on real-time updated maintenance task information, and it plays a significant role in combat support. For the insufficient consideration of time uncertainty factors of equipment maintenance task scheduling in wartime, an equipment maintenance task scheduling model is established. In the model, the randomness of maintenance task appearing and the uncertainty of maintenance time as well as maneuver time are regarded as driving conditions, while maintenance time and load capacity are regarded as constraint conditions. To get the maximum value of the sum of repairing equipment important degree, an equipment maintenance task scheduling is carried out, timely adjusting equipment maintenance plan and planning optimal maintenance task path. To acquire the result of equipment maintenance task scheduling rapidly and accurately, an improved Max-Min Ant System (MMAS) is applied. At last, the timeliness and the effectiveness of the method are verified with an example.

Key words: maintenance task scheduling, max-min ant system(MMAS), uncertainty of time

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