Please wait a minute...
 首页  期刊介绍 期刊订阅 联系我们
 
最新录用  |  预出版  |  当期目录  |  过刊浏览  |  阅读排行  |  下载排行  |  引用排行  |  百年期刊
Journal of Tsinghua University(Science and Technology)    2019, Vol. 59 Issue (11) : 925-933     DOI: 10.16511/j.cnki.qhdxxb.2019.21.023
AUTOMATION |
Model-driven MOE method for weapon systems
WEI Hailong1, LI Qing1, HUANG Shisheng1, XU Zhiyong1, PU Yudi1, YANG Shaobo2
1. Department of Automation, Tsinghua University, Beijing 100084, China;
2. Systems Engineering Research Institute, China State Shipbuilding Corporation, Beijing 100036, China
Download: PDF(2616 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  Modern weapon systems are expensive and complex. The current measure of effectiveness (MOE) method is also expensive many complex relationships among the layers. The paper uses model-based systems engineering (MBSE) to construct a model-driven MOE method with system modeling to support the acquisition of MOE data through model analyses and simulations. This method is less expensive and more useful than traditional methods, which improves the system design optimization and development decision making. The system closely links the method and the system design, so it is applicable to all stages of the life cycle of the development and construction of weapon systems and can be refined to various granularity system levels. The MOE method is verified through analysis of a damage control system (DCS) as an example.
Keywords measure of effectiveness (MOE)      model-driven      model-based systems engineering (MBSE)     
Issue Date: 19 November 2019
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
WEI Hailong
LI Qing
HUANG Shisheng
XU Zhiyong
PU Yudi
YANG Shaobo
Cite this article:   
WEI Hailong,LI Qing,HUANG Shisheng, et al. Model-driven MOE method for weapon systems[J]. Journal of Tsinghua University(Science and Technology), 2019, 59(11): 925-933.
URL:  
http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2019.21.023     OR     http://jst.tsinghuajournals.com/EN/Y2019/V59/I11/925
  
  
  
  
  
  
  
  
  
  
  
[1] DARILEK R E, WALTER L P, JEROME B, et al. Measures of effectiveness for the information-age army[R]. Santa Monica, CA, USA:RAND Corporation, 2001.
[2] 郭齐胜, 张磊. 武器装备系统效能评估方法研究综述[J]. 计算机仿真, 2013, 30(8):1-4, 18. GUO Q S, ZHANG L. Research summary of weapons equipment systems effectiveness evaluation methods[J]. Computer Simulation, 2013, 30(8):1-4, 18. (in Chinese)
[3] GREEN J M. Establishing system measures of effectiveness[R]. Santa Monica, CA, USA:Raytheon Naval & Maritime Integrated Systems, 2001.
[4] US DoD. Measure of effectiveness definition (US DoD)[EB/OL].[2019-01-27]. https://www.militaryfactory.com/dictionary/military-termsdefined.asp?term_id-3309.
[5] GUO J, LI T, LI C, et al. Construction of shipborne navigation equipment's comprehensive effectiveness evaluation index system based on improved ADC model[C]//Proceedings of 2014 IEEE Chinese Guidance, Navigation and Control Conference. Yantai:IEEE, 2014:822-826.
[6] 陈磊, 姚伟召, 郭全魁. 效能评估理论、方法及应用[M]. 北京:北京邮电大学出版社, 2016. CHEN L, YAO W Z, GUO Q K. Effectiveness evaluation theory, method and application[M]. Beijing:Beijing University of Posts and Telecommunications Press, 2016. (in Chinese)
[7] 陈浩光, 李云芝. 武器系统效能评估与评估创新[J]. 装备指挥技术学院学报, 2004(4):1-5. CHEN H G, LI Y Z. Effectiveness evaluation and evaluating method innovation for weapon system[J]. Journal of Institute of Command and Technology, 2004(4):1-5. (in Chinese)
[8] 蔡延曦, 孙琰, 张卓. 武器装备体系作战效能评估方法分析[J]. 先进制造与管理, 2008, 27(10):24-26. CAI Y X, SUN Y, ZHANG Z. Analysis on assessment methods for combat capability of weapon SoS[J]. Advanced Manufacturing and Management, 2008, 27(10):24-26.(in Chinese)
[9] 谭乐祖, 杨明军, 向迎春, 等. 武器系统效能评估方法研究[J]. 兵工自动化, 2010, 29(8):13-15. TAN L Z, YANG M J, XIANG Y C, et al. Research on effectiveness evaluation method for weapon systems[J]. Ordnance Industry Automation, 2010, 29(8):13-15.(in Chinese)
[10] 孔晨妍,陈伟. 联合作战指控系统效能评估仿真研究[J]. 计算机与数字工程, 2015(2):243-247. KONG C Y, CHEN W. Effectiveness evaluation of command and control system in joint operations[J]. Computer & Digital Engineering, 2015(2):243-247.(in Chinese)
[11] Technical Operations International Council on Systems Engineering INCOSE. INCOSE systems engineering vision 2020[R]. San Diego, CA, USA:INCOSE, 2007.
[12] 江鸿震. 大数据环境下模型驱动的两化融合评价[D]. 北京:清华大学, 2017. JIANG H Z. Research on the model-driven evaluation of integration of informationization and industrialization under the big data circumstance[D]. Beijing:Tsinghua University, 2017. (in Chinese)
[13] HOFFMANN H P. Systems engineering best practices with the rational solution for systems and software engineering[M]. New York, USA:IBM Corporation, 2010.
[14] CALABRESE F, CATALDO M, CORALLO A, et al. Damage control system:An application for ship safety and security[C]//Proceedings of the 9th IFAC Conference on Manoeuvring and Control of Marine Craft. Arenzano, Italy:IFAC, 2012:103-108.
[15] 中华人民共和国交通部. 船舶消防演习操作规程:JT 558-2004[S]. 2004. Ministry of Transport of the People's Republic of China. Due process of on-board fire drills:JT 558-2004[S]. 2004.(in Chinese)
[16] LONG X F, ZHANG X Q, LOU B. Numerical simulation of dormitory building fire and personnel escape based on Pyrosim and Pathfinder[J]. Journal of the Chinese Institute of Engineers, 2017, 40(3):257-266.
[17] 王志均. 内环境恒定概念的提出——伯尔纳的伟大贡献[J]. 生物学通报, 2007, 42(9):56-57. WANG Z J. The concept of constant internal environment-The great contribution of Berna[J]. Bulletin of Biology, 2007, 42(9):56-57.(in Chinese)
[18] 范维澄. 火灾学简明教程[M]. 合肥:中国科学技术大学出版社, 1995. FAN W C. Concise tutorial on fire science[M]. Anhui:University of Science and Technology China Press, 1995. (in Chinese)
[1] CAI Hongming, JIANG Zuhai, JIANG Lihong. Data storage and access framework for business models in distributed environments[J]. Journal of Tsinghua University(Science and Technology), 2017, 57(6): 569-574.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
Copyright © Journal of Tsinghua University(Science and Technology), All Rights Reserved.
Powered by Beijing Magtech Co. Ltd