航空学报 > 2016, Vol. 37 Issue (9): 2623-2633   doi: 10.7527/S1000-6893.2015.0358

备件携行量研究方法综述

徐宗昌1, 张永强1,2, 呼凯凯1, 岳付昌2   

  1. 1. 装甲兵工程学院 技术保障工程系, 北京 100072;
    2. 海军航空兵学院 兴城场站, 葫芦岛 125000
  • 收稿日期:2015-11-03 修回日期:2015-11-21 出版日期:2016-09-15 发布日期:2016-01-11
  • 通讯作者: 徐宗昌 男, 教授, 博士生导师, 专业技术二级。主要研究方向:装备保障特性与综合保障,装备IETM。 Tel.: 010-66717191 E-mail:xuzca@yeah.net E-mail:xuzca@yeah.net
  • 作者简介:张永强 男, 博士研究生。主要研究方向:舰船携行备件优化以及装备保障特性与综合保障。 E-mail:wying40852@163.com;呼凯凯 男, 博士研究生。主要研究方向:装备保障特性与综合保障。 E-mail:wying40852@163.com;岳付昌 男, 硕士研究生。主要研究方向:装备保障特性与综合保障。 E-mail:wying40852@163.com

Survey on amount configuration methods of carrying spare parts

XU Zongchang1, ZHANG Yongqiang1,2, HU Kaikai1, YUE Fuchang2   

  1. 1. Department of Technical Support Engineering, Academy of Armored Force Engineering, Beijing 100072, China;
    2. Xingcheng Station, Naval Air Force Institute, Huludao 125000, China
  • Received:2015-11-03 Revised:2015-11-21 Online:2016-09-15 Published:2016-01-11

摘要:

备件是舰载机在海上执行维修保障任务的重要资源,而备件数量的配置受成本、储存空间与使用可用度等因素的影响。针对出航准备阶段备件携行量的确定问题,分析和总结了当前备件数量配置方法的研究现状,重点对基于间断型历史数据的备件需求预测法、先维修后备件的序贯优化法以及维修与备件的联合优化法进行了综述,并从成本、舰船储存空间与使用可用度等角度分析了3种方法的特点与适用场合,认为联合优化是备件携行量的最佳计算方法。结合已有的研究基础,对备件携行量联合优化方法未来的研究重点与趋势进行了展望。

关键词: 舰船, 携行备件量, 需求预测, 序贯优化, 联合优化

Abstract:

Spare parts are very important support resources to repair naval carrier aircrafts when they are failure at sea, and number of spare parts that should be carried in a warship is influenced by requirements of maintenance cost, storage space of ship, and operational availability of equipment. Aiming at the problem of how to calculate the number of carrying spare parts before sailing out, common methods and the latest development are analyzed and summarized. Three types of methods, demand forecasting method, sequential optimization method of maintenance first and spare parts second, and joint optimization method of both, are paid special attention to. Features and applicable occasions of the three methods are compared with each other from the points of maintenance cost, storage space of ship, and operational availability of equipment. After comparison of these methods, we conclude that joint optimization is the most suitable method for carrying spare parts configuration. Finally, future research directions of joint optimization method of carrying spare parts are proposed.

Key words: warship, carrying spare parts, demand forecasting, sequential optimization, joint optimization

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