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Distributed risk management model and algorithm for virtual enterprise with private information
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ACM/SIGEVO Summit on Genetic and Evolutionary Computation archive
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation table of contents
Shanghai, China
POSTER SESSION: Poster sessions table of contents
Pages: 965-968  
Year of Publication: 2009
ISBN:978-1-60558-326-6
Authors
Xianli Sun  Northeastern University, Shenyang, China
Min Huang  Northeastern University, Shenyang, China
Xingwei Wang  Northeastern University, Shenyang, China
Fuqiang Lu  Northeastern University, Shenyang, China
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

For the desired profit and anticipated goal, the virtual enterprise (VE) must avoid the risk successfully. In view of its characteristics, such as the diversity of partners and distribution of cooperative regions, the idea of distributed decision-making (DDM) is applied to the management of the virtual enterprise' risks, with a Organizational-DDM risk management model developed for those virtual enterprises which are in relation to enforced team and with private information. A taboo search algorithm is designed to solve the model. The computation results of simulative examples show the effectiveness and feasibility of the model and algorithm.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Jia P. Virtual Enterprise{M}. Beijing: Economical Management Press, 2003:149--180.
 
2
Huang M, Yang H M, Wang X W. Genetic algorithm and fuzzy synthetic evaluation based risk programming for virtual enterprise{J}. Acta Automatica Sinica, 2004, 30(3):449--454.
 
3
Yung K, Li J. Application of fuzzy integrative evaluation method to risk management of virtual enterprises{J}. Industrial Engineering Journal, 2004,7(3): 40--44.
 
4
Feng W D, Chen J, Zhao C J. Study on risk management and control for Virtual Enterprise {J}. Journal of Management Sciences in China, 2001, 4(3):1--8.
 
5
Huang M, Sun X L, Wang X W. A risk management model based on Distributed Decision-Making for Virtual Enterprises{J}. Journal of Northeastern University(Natural Science), 2007,28(7):949--952.
 
6
Sun X L, Huang M, Wang X W. Tabu Search Based Distributed Risk Management for Virtual Enterprise{A}, 2nd IEEE Conference on Industrial Electronics and Applications{C}, Harbin ,2007, 5:2366--2370.
 
7
Sun X L, Huang M, Lu F Q, Wang X W. Partners Relationship Based Distributed Decision Making Models for Risk Management of Virtual Enterprises {A}, CCDC 2008{C},Yantai,2008,7:2222--2227.
 
8
Schneeweiss Ch. Distributed decision making{M}. Berlin: Springer-Verlag, 2003:26--70.
 
9
Schneeweiss C. Distributed decision making a unified approach{J}. European Journal of Operational Research, 2003, (150):237--252.
 
10
Schneeweiss C. Distributed decision making in supply chain management{J}. International Journal of Production Economics, 2003, (84): 71--83.
 
11
Eichin R, Schneeweiss C. Determining depreciations as a hierarchical problem{J}. Schmalenbach's Business Review , 2001, 53(4): 66--81.

Collaborative Colleagues:
Xianli Sun: colleagues
Min Huang: colleagues
Xingwei Wang: colleagues
Fuqiang Lu: colleagues