Paper Info
Title
Improved E-sourcing Strategy with Multi-agent Swarms
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.
Year
DOI
Venue
2008
10.1109/CIMCA.2008.61
CIMCA/IAWTIC/ISE
Keywords
Field
DocType
potential participant,bee strategy,polymorphic self-slimming agent,browsing thousand,e-sourcing platform,limited resource,combining agent technology,potential supplier,bees strategy,improved e-sourcing strategy,resources acquisition,multi-agent swarms,small and medium enterprise,electronic commerce,xml,data mining,polymorphism,particle swarm optimization,multi agent systems
Particle swarm optimization,Small and medium-sized enterprises,XML,Computer science,Medium enterprises,Small to medium enterprises,Knowledge management,Multi-agent system,Purchasing,Strategic sourcing
Conference
Citations 
PageRank 
References 
2
0.52
8
Authors
3
Name
Order
Citations
PageRank
Konrad Fuks1124.45
Arkadiusz Kawa23310.65
Waldemar Wieczerzycki34738.08