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装备战场抢修能力预测混合算法
引用本文:周文明,范踊跃,张春荣,宋吉星.装备战场抢修能力预测混合算法[J].四川兵工学报,2014(11):54-59.
作者姓名:周文明  范踊跃  张春荣  宋吉星
作者单位:1. 后勤学院 模拟训练中心,北京 100858; 国防大学 军事后勤与军事科技装备教研部,北京 100091
2. 后勤学院 模拟训练中心,北京,100858
3. 第二炮兵后勤部物资油料部,北京,100085
4. 中国人民解放军96265部队,河南 南阳,473139
基金项目:中国博士后科学基金资助(201150M1560);武器装备预研基金项目(9140A27070109JB05)。
摘    要:分析了信息化条件下战场抢修的主要影响因素,研究了各环节的特点和规律,提出了运用备件保障能力算法、排队网络、层次分析法、模糊综合评判等相结合的方法,分别计算备件保障、战损修理能力、机动能力、人员素质等对战场抢修的影响程度,用指数法建立了战场抢修能力预测模型,给出了计算实例,验证了算法的实用性和合理性,为战场抢修指挥决策和模拟仿真系统的优化设计提供理论依据。

关 键 词:战场抢修  备件保障  指数法  排队网络  模糊综合评判

Hybrid Method for Evaluating the Support Capability of Battlefield Emergency Maintenance of Equipment
Authors:ZHOU Wen-ming  FAN Yong-yue  ZHANG Chun-rong  SONG Ji-xing
Affiliation:ZHOU Wen-ming, FAN Yong-yue , ZHANG Chun-rong , SONG Ji-xing (1. Simulation Training Center, Logistics Academy, Beijing 100858, China; 2. Department of Military Logistics and Armament, National Defense University of PLA, Beijing 100091, China; 3. Department of Material and Oil, The Second Artillery, Beijing 100085, China; 4. 96265 Unit of PLA, Nanyang 473139, China)
Abstract:Main influencing factors of battlefield emergency maintenance of equipment in information-based war are analyzed. Characteristics and laws of battlefield emergency maintenance of equipment are studied. The incidences of spare parts support, maintenance facility and equipment, maneuver margin and person- nel on battlefield emergency maintenance of equipment are calculated by calculating the support capability of spare parts, queuing theory, analytic hierarchy process and fuzzy comprehensive evaluation. The predic- tion estimation model of battlefield emergency of equipment is established based on index method. A simu- lation example of evaluation is presented. Validity and practicability of the comprehensive method is veri- fied, and it strongly support command, decision making and system optimum design of battlefield emergen- cy maintenance of equipment.
Keywords:battlefield emergency maintenance  spare parts support  index method  queuing theory  fuzzy comprehensive evaluation
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