DocumentCode
2663836
Title
Improved E-sourcing Strategy with Multi-agent Swarms
Author
Fuks, Konrad ; Kawa, Arkadiusz ; Wieczerzycki, Waldemar
Author_Institution
Poznan Univ. of Econ., Poznan, Poland
fYear
2008
fDate
10-12 Dec. 2008
Firstpage
488
Lastpage
493
Abstract
The research results reported in this paper mainly relate to the well-known limitations of e-sourcing, i.e. the difficulties and restrictions in browsing thousands globally operating e-marketplaces, differences between the requirements of a potential participant for buying purposes and those of the organizations seeking participation as suppliers, growing competitiveness and the changeability of the demands at e-marketplaces. Combining agent technology with bee strategy offers a solution, as suggested in the paper. The behavior of bees, which cope with the management of limited resources in an unpredictable and constantly changing environment seems applicable to e-sourcing. This expands the present opportunities offered by e-marketplaces. The main contribution of this paper is an adaptation of the Polymorphic Self-Slimming Agent (PSA) model to the e-sourcing platform, which is based on the bees strategy. This combination shows how small and medium enterprises (SMEs) can significantly increase resources acquisition and search of potential suppliers.
Keywords
electronic commerce; multi-agent systems; purchasing; small-to-medium enterprises; agent technology; bee strategy; e-sourcing strategy; globally operating e-marketplaces; limited resources management; medium enterprises; multiagent swarms; polymorphic self-slimming agent; small enterprises; Communications technology; Companies; Environmental economics; Environmental management; Humans; Inspection; Intelligent agent; Intelligent networks; Paper technology; Resource management; agent technology; bees strategy; e-sourcing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location
Vienna
Print_ISBN
978-0-7695-3514-2
Type
conf
DOI
10.1109/CIMCA.2008.61
Filename
5172674
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