考虑预防性维修的备件需求量计算模型

doi:10.3969/j.issn.1000-1093.2016.05.020

兵工学报 ›› 2016, Vol. 37 ›› Issue (5): 916-922.doi: 10.3969/j.issn.1000-1093.2016.05.020

考虑预防性维修的备件需求量计算模型

胡起伟¹，贾希胜²，赵建民¹

（1.军械工程学院装备指挥与管理系，河北石家庄 050003； 2. 军械工程学院训练部，河北石家庄 050003）

收稿日期:2016-02-20 修回日期:2016-02-20 上线日期:2016-07-06
作者简介:胡起伟（1979—），男，讲师
基金资助:
国家部委科研基金项目（9140A27040314JB34452）

A Model of Calculating Spare Parts Demand Volume by Considering Preventive Maintenance

HU Qi-wei¹， JIA Xi-sheng²， ZHAO Jian-min¹

(1.Department of Equipment Command and Management, Ordnance Engineering College, Shijiazhuang 050003, Hebei, China;2.Department of Training, Ordnance Engineering College, Shijiazhuang 050003, Hebei, China）

Received:2016-02-20 Revised:2016-02-20 Online:2016-07-06

摘要/Abstract

摘要： 备件是装备使用与维修的重要物质基础，是影响装备寿命周期费用的重要因素。针对传统备件需求量计算模型未考虑预防性维修需求的问题和不足，以工龄更换维修策略为例，建立考虑预防性维修的备件需求量计算模型，提出基于离散法的模型求解算法。通过具体算例对模型的应用方法和效果进行了验证，并与传统的备件需求量计算模型进行了对比分析。研究结果表明：传统备件需求量计算模型存在很大误差；预防性维修策略下备件需求量计算模型能够显著提高备件需求量计算的准确性，不仅可以对任意周期长度的备件需求量进行计算，而且还可以用于分析装备寿命周期备件保障费用。

关键词: 兵器科学与技术, 备件, 需求预测, 预防性维修, 工龄更换

Abstract: Spare parts are the material basis of equipment operation and maintenance, and spare parts procurement usually takes a large share of equipment lifecycle cost. The traditional methods of calculating the spare parts demand volume only consider the requirements of corrective maintenance, and cannot be used to calculate the spare parts demand volume by considering preventive maintenance. A model of calculating the spare parts demand volume based on age replacement policy is proposed. A discrete algorithm for the model is presented. An example analysis is carried out to verify the applicability and effectiveness of the proposed model. The proposed model is compared with traditional calculation model. The research results show that the proposed model can be used to improve the accuracy of calculating the spare parts demand volume. It can be also used to calculate the spare parts demand volume for any long planning horizon and analyze the spare parts cost in equipment lifecycle process.

Key words: ordnance science and technology, spare part, demand forecasting, preventive maintenance, age replacement

中图分类号:

TJ07

胡起伟，贾希胜，赵建民. 考虑预防性维修的备件需求量计算模型[J]. 兵工学报, 2016, 37(5): 916-922.

HU Qi-wei， JIA Xi-sheng， ZHAO Jian-min. A Model of Calculating Spare Parts Demand Volume by Considering Preventive Maintenance[J]. Acta Armamentarii, 2016, 37(5): 916-922.

参考文献

［1］ Hu Q, Bai Y, Zhao J, et al. Modeling spare parts demands forecast under two-dimensional preventive maintenance policy［J］. Mathematical Problems in Engineering, 2015, 2015:1-9.
［2］ Croston J D. Forecasting and stock control for intermittent demands ［J］. Operational Research Quarterly, 1972,23(3):289-303.
［3］ Rao A V. A comment on: forecasting and stock control for intermittent demands［J］. Journal of the Operational Research Society, 1973, 24(4):639-640.
［4］ Syntetos A A, Boylan J E. On the bias of intermittent demand estimates［J］. International Journal of Production Economics, 2001,71(1):457-466.
［5］ Syntetos A A, Boylan J E. The accuracy of intermittent demand estimates［J］. International Journal of Forecasting, 2005, 21(2):303-314.
［6］赵建忠, 徐廷学, 刘勇, 等. 基于粗糙集和熵权以及改进支持向量机的导弹备件消耗预测［J］. 兵工学报, 2012, 33(10):1258-1265.
ZHAO Jian-zhong, XU Ting-xue, LIU Yong, et al. Consumption forecasting of missile spare parts based on rough set, entropy weight and improved SVM［J］. Acta Armamentarii, 2012, 33(10): 1258-1265.(in Chinese)
［7］ Stevenson W J. Operations management: theory and practice［M］. New York, NY: McGraw-Hill Irwin, 2012.
［8］赵宇，伏洪勇，张坚，等. 航空电子设备备件需求量分析［J］. 系统工程与电子技术, 2002, 24(3):1-3.
ZHAO Yu, FU Hong-yong, ZHANG Jian, et al. Demand analysis of the spare parts of avionic devices［J］. Systems Engineering and Electronics, 2002, 24(3):1-3.(in Chinese)
［9］ Mani V, Sarma V V S. Queuing network models for aircraft availability and spares management［J］. IEEE Transactions on Reliability,

1984, 33(3):257-262.
［10］陶小创, 郭霖瀚, 肖波平, 等. 基于备件保障概率分配的备件需求量预测模型［J］. 兵工学报, 2012, 33(8):975-979.
TAO Xiao-chuang, GUO Lin-han, XIAO Bo-ping, et al. Demand prediction model for spare parts based on fill rate allocation［J］. Acta Armamentarii, 2012, 33(8):975-979.(in Chinese)
［11］ Gross D, Miller D, Soland R. On some common interests among reliability, inventory and queuing［J］. IEEE Transactions on Reliability, 1985,34(3):204-208.
［12］刘天华, 张志华, 梁胜杰, 等. 一种Weibull型备件需求量的改进算法［J］. 系统工程理论与实践, 2012, 32(5):1124-1128.
LIU Tian-hua, ZHANG Zhi-hua, LIANG Sheng-jie, et al. An improved method for the spare demand of the Weibull-distribution［J］. Systems Engineering Theory and Practice, 2012, 32(5):1124-1128.(in Chinese)
［13］ Wong J Y F, Chung D W C, Ngai B M T, et al. Evaluation of spares requirements using statistical and probability analysis techniques［J］. Transactions of the Institution of Engineers, Australia. Mechanical engineering, 1997, 22(3/4):77-83.
［14］ Kumar U D, Knezevic J. Availability based spare optimization using renewal process［J］. Reliability Engineering & System Safety, 1998, 59(2):217-223.
［15］ Sheikh A K, Younas M, Raouf A. Reliability based spare parts forecasting and procurement strategies［M］∥Ben-Daya M, Duffuaa S O, Raouf A. Maintenance, modeling and optimization. New York, NY:Springer US, 2000: 81-110.
［16］贾希胜. 以可靠性为中心的维修决策模型［M］. 北京:国防工业出版社, 2007.
JIA Xi-sheng. The decision models for reliability centered maintenance［M］. Beijing:National Defense Industry Press, 2007. (in Chinese)

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考虑预防性维修的备件需求量计算模型

A Model of Calculating Spare Parts Demand Volume by Considering Preventive Maintenance

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