Virtual Enterprise Risk Management Using Artificial Intelligence
Joint Authors
Hu, Kunyuan
Chen, Hanning
Zhu, Yunlong
Li, Xuhui
Source
Mathematical Problems in Engineering
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-05-24
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Virtual enterprise (VE) has to manage its risk effectively in order to guarantee the profit.
However, restricting the risk in a VE to the acceptable level is considered difficult due to the agility and diversity of its distributed characteristics.
First, in this paper, an optimization model for VE risk management based on distributed decision making model is introduced.
This optimization model has two levels, namely, the top model and the base model, which describe the decision processes of the owner and the partners of the VE, respectively.
In order to solve the proposed model effectively, this work then applies two powerful artificial intelligence optimization techniques known as evolutionary algorithms (EA) and swarm intelligence (SI).
Experiments present comparative studies on the VE risk management problem for one EA and three state-of-the-art SI algorithms.
All of the algorithms are evaluated against a test scenario, in which the VE is constructed by one owner and different partners.
The simulation results show that the PS2O algorithm, which is a recently developed SI paradigm simulating symbiotic coevolution behavior in nature, obtains the superior solution for VE risk management problem than the other algorithms in terms of optimization accuracy and computation robustness.
American Psychological Association (APA)
Chen, Hanning& Zhu, Yunlong& Hu, Kunyuan& Li, Xuhui. 2010. Virtual Enterprise Risk Management Using Artificial Intelligence. Mathematical Problems in Engineering،Vol. 2010, no. 2010, pp.1-20.
https://search.emarefa.net/detail/BIM-481755
Modern Language Association (MLA)
Chen, Hanning…[et al.]. Virtual Enterprise Risk Management Using Artificial Intelligence. Mathematical Problems in Engineering No. 2010 (2010), pp.1-20.
https://search.emarefa.net/detail/BIM-481755
American Medical Association (AMA)
Chen, Hanning& Zhu, Yunlong& Hu, Kunyuan& Li, Xuhui. Virtual Enterprise Risk Management Using Artificial Intelligence. Mathematical Problems in Engineering. 2010. Vol. 2010, no. 2010, pp.1-20.
https://search.emarefa.net/detail/BIM-481755
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-481755