现代防御技术 ›› 2023, Vol. 51 ›› Issue (2): 119-126.DOI: 10.3969/j.issn.1009-086x.2023.02.014

• 综合保障性技术 • 上一篇    下一篇

基于多目标问题的装备维修保障资源调度研究

祝东攀, 曹继平, 毕杰   

  1. 火箭军工程大学,陕西 西安 710025
  • 收稿日期:2022-06-08 修回日期:2022-09-19 出版日期:2023-04-28 发布日期:2023-05-05
  • 作者简介:祝东攀(1994—),男,陕西山阳人。硕士生,研究方向为装备维修保障资源优化。

Scheduling of Equipment Maintenance and Support Resources Based on Multi-objective Problem

Dongpan ZHU, Jiping CAO, Jie BI   

  1. Rocket Force University of Engineering,Xi’an 710025,China
  • Received:2022-06-08 Revised:2022-09-19 Online:2023-04-28 Published:2023-05-05

摘要:

针对战时装备维修保障资源调度面临维修保障资源需求量不确定、调度时间不确定、调度路径可靠性不确定的问题,通过引入三角模糊数,将不确定信息量化,构建了以维修保障资源调度时间最短、维修保障资源调度路径可靠性最高和维修保障资源调度成本最小为目标的多目标调度模型,并给出了确定各目标相对重要度的方法,然后通过极大极小法将多目标模型转换为单目标模型,并结合LINGO软件对模型进行求解得出维修保障资源的最优调度方案。最后,引入算例进行了分析计算,结果证明了该模型的有效性,对于战时开展装备维修保障资源调度具有一定参考价值。

关键词: 多目标, 不确定, 三角模糊数, 维修保障资源, 极大极小法, 调度研究

Abstract:

In view of the uncertain demand, uncertain scheduling time, and uncertain path reliability in the scheduling of equipment maintenance and support resources in wartime, this paper quantifies the uncertain information by introducing triangular fuzzy numbers and constructs a multi-objective scheduling model. Specifically, the model aims to achieve the shortest scheduling time, highest path reliability, and lowest cost during the scheduling of maintenance and support resources. In addition, the method to determine the relative importance of each objective is given. The multi-objective model is transformed into a single-objective model by the minimax method, which is solved by LINGO software to obtain the optimal scheduling scheme of maintenance and support resources. Finally, a numerical example is introduced for analysis and calculation. The results show that the model is effective and has some reference value for the scheduling of equipment maintenance and support resources in wartime.

Key words: multi-objective, uncertainty, triangular fuzzy number, maintenance and support resources, minimax method, scheduling research

中图分类号: