DocumentCode :
1963453
Title :
Research on the Organizational Decision Support System for Small & Medium-Size Enterprise Based on Agent
Author :
Fu, Ruixue ; Xu, Chaofeng ; Song, Ming ; Xin, Zhanhong
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Posts & Telecommun., Beijing
fYear :
2008
fDate :
23-25 May 2008
Firstpage :
236
Lastpage :
240
Abstract :
To develop more powerful and flexible Organizational Decision Support Systems (ODSS), after the introduction of abstract architecture of a federated MAS system with two types of agent, the architecture of AODSS with three layers has been presented. The core layer includes two kinds of agencies: Application Agency for the common applications of this system, and Decision Agency for performing the actual decision activity and providing the results. To illustrate the architecture, a simulation work has been done in one Chinese TV company and the results imply that the architecture provides a very efficient method to design and develop ODSS for small & medium-size enterprise, in coordination mechanisms to ensure that organizational decision processes are optimized, information integrating of legacy systems for knowledge sharing, the interaction of multiple groups, flexibility and ability to extend and reengineer, the reusable ability of legacy systems, has played a very important role.
Keywords :
decision support systems; multi-agent systems; organisational aspects; small-to-medium enterprises; software architecture; software maintenance; AODSS; Chinese TV company; MAS; ODSS; application agency; decision agency; legacy systems; multiagent systems; organizational decision support system; small-medium size enterprise; Chaos; Decision making; Decision support systems; Environmental economics; Information processing; Multiagent systems; Power generation economics; Power system management; Software systems; TV; Intelligent agents; Multi-Agent System (MAS); Organizational Decision Support Systems (ODSS);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing (ISIP), 2008 International Symposiums on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3151-9
Type :
conf
DOI :
10.1109/ISIP.2008.89
Filename :
4554091
Link To Document :
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