Dynamic Evolution Model of Equipment Maintenance Organizational Structure Based on Multielement-Weighted Network

doi:10.3969/j.issn.1000-1093.2012.04.018

Abstract

Abstract: The dynamic analysis and design of equipment maintenance logistics organizational structure is a critical challenge in a complex networked environment. The network characteristics of equipment maintenance logistics organization was analyzed by using the complex network theory. A multielement-weighted network model of equipment maintenance logistics organizational structure was addressed，and five characteristic values which depict the maintenance logistics organizational structure were defined. The impact of topology characteristics and dynamic evolution on the equipment maintenance logistics organizational structure was analyzed. Two dynamic evolution models of equipment maintenance logistics organizational structure were proposed based on the multielement-weighted network, which are the random evolution model and the adaptive evolution model. And an algorithm for the analysis of organizational structure dynamics was proposed using the models along with those five characteristic values. Finally, an equipment maintenance logistics organizational structure was provided to illustrate the feasibility of the proposed method. The impact of adaptive evolution model parameters on the organizational structure performance was analyzed. The result shows the proposed method can be used to obtain the best maintenance logistics cooperation effectiveness.

Key words: operational research, equipment logistics, multielement-weighted network, organization evolution

CLC Number:

E917

XU Yu-guo, QIU Jing, LIU Guan-jun. Dynamic Evolution Model of Equipment Maintenance Organizational Structure Based on Multielement-Weighted Network[J]. Acta Armamentarii, 2012, 33(4): 488-496.

References

［1］ Levchuk G M, Levchuk Y N, Luo J, et al. Normative design of organizations-part Ⅰ: mission planning[J]. IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, 2002, 32(3): 346-359.
[2] Levchuk G M, Levchuk Y N, Luo J, et al. Normative design of organizations-part Ⅱ: organizational structure[J]. IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, 2002, 32(3): 360-375.
[3] Levchuk G M, Levchuk Y N, Meirina C, et al. Normative design of project-based organizations-part Ⅲ: modeling congruent, robust, and adaptive organizations[J]. IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, 2004, 34(3): 337-350.
[4] Alberts D S, Hayes R E. Power to the edge: command and control in the information age[M]. Washington DC: DoD CCRP Publication Series, 2003.
[5] 刘忠，杨杉，修保新，等. C2组织鲁棒性信息交互结构设计及分析[J]. 国防科学技术大学学报, 2010, 32(5): 110-117.
LIU Zhong, YANG Shan, XIU Bao-xin, et al. Design and analysis of C2 robust organizational communication structure[J]. Journal of National University of Defense Technology, 2010, 32(5): 110-117. (in Chinese)
[6] 修保新，张维明，刘忠，等. C2组织结构的适应性设计方法[J]. 系统工程与电子技术, 2007, 29(7): 1102-1108.
XIU Bao-xin, ZHANG Wei-ming, LIU zhong, et al. Adaptive design of C2 organizational structure[J]. Systems Engineering and Electronics, 2007, 29(7): 1102-1108. (in Chinese)
[7] Atkinson S R, Moffat J. The agile organization: from informal networks to complex effects and agility[M]. Washington DC: DoD CCRP Publication Series, 2005.
[8] Dodds P S, Watts D J, Sabel C F. Information exchange and the robustness of organizational networks[J]. PNAS, 2003, 100(21): 12516-12521.
[9] Hanaki N, Peterhansl A, Dodds P S, et al. Cooperation in evolving social networks[J]. Management Science, 2007, 53(7): 1036-1050.
[10] Lin Y, Desouza K C, Roy S. Measuring agility of networked organizational structures via network entropy and mutual information[J]. Applied Mathematics and Computation, 2010, (216): 2824-2836.
[11] 朱涛，常国岑，张水平，等. 网络化指挥控制的社团结构挖掘方法[J]. 计算机工程, 2010, 36(3): 19-21.
ZHU Tao, CHANG Guo-cen, ZHANG Shui-ping, et al. Community structure mining method in networked command and control[J]. Computer Engineering, 2010, 36(3): 19-21. (in Chinese)
[12] 谭劲松，何铮. 集群自组织的复杂网络仿真研究[J]. 管理科学学报, 2009, 12(4): 1-14.
TAN Jin-song, HE Zheng. Self-organization of industrial cluster: a computer simulation from complex network perspective[J]. Journal of Management Sciences in China, 2009, 12(4): 1-14. (in Chinese)
[13] 尹晓虎. 装备维修系统的动力学分析技术研究[D]. 长沙: 国防科学技术大学, 2009.
YIN Xiao-hu. Research on the dynamical analysis methods for equipment maintenance systems[D]. Changsha: National University of Defense Technology, 2009. (in Chinese)
[14] Pete A, Kleinman D L, Pattipati K R. Structural congruence of tasks and organization[C]∥Proceedings of the 1994 Symp. on Command and Control Research and Decision Aids. Monterey, CA: Naval Postgraduate School, 1994:168-175.
[15] Newman M E J. The structure and function of complex networks[J]. Siam Review, 2003, 45(2): 167-256.
[16] 郭雷，许晓鸣. 复杂网络[M]. 上海: 上海科学教育出版社, 2006.
GUO Lei, XU Xiao-ming. Complex network[M]. Shanghai: Shanghai Science Education Press, 2006. (in Chinese)
[17] 汪小帆，李翔，陈关荣. 复杂网络理论及其应用[M]. 北京: 清华大学出版社, 2006.
WANG Xiao-fan, LI Xiang, CHEN Guan-rong. Complex network theory and its application[M]. Beijing: Tsinghua University Press, 2006. (in Chinese)

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