Title
Designing intelligent agents to support long-term partnership in two echelon e-Supply Networks
Abstract
Realizing the dynamic nature of information flow and the conflicting objectives of members play vital role in effective design of e-Supply Networks (e-SN). While there are some research in the SN literature proposing different dynamic and intelligent coordination mechanisms, the impact of the proper definition of data structure and long-term relationship in modeling both coordination and negotiation mechanisms have not been addressed deeply. In this paper, we propose three overlapping services including intelligent matching of partners, proposal generations, and long-term contract management. The process begins with the selection of qualified partners based on the similarity of users profiles in a multidimensional space defined by network attributes. Then, a coordination mechanism for long-term agreements is proposed such that the generated proposals in e-SN encourage buyers to reveal their demand in advance. The proposed mechanism introduces the importance of strategic buyers for suppliers in modeling and decision making process. To illustrate the model efficiency, a prototype system has been modeled and is compared to the traditional tendering mechanism. The validation results confirm the model efficiency in providing long-term decisions in a dynamic environment.
Year
DOI
Venue
2012
10.1016/j.eswa.2012.07.008
Expert Syst. Appl.
Keywords
Field
DocType
long-term relationship,coordination mechanism,intelligent coordination mechanism,long-term contract management,echelon e-supply networks,intelligent agent,model efficiency,long-term agreement,negotiation mechanism,long-term partnership,dynamic environment,dynamic nature,long-term decision,intelligent agents
Data structure,Information flow (information theory),Intelligent agent,Computer science,Artificial intelligence,Contract management,Procurement,General partnership,Decision-making,Machine learning,Process management,Negotiation
Journal
Volume
Issue
ISSN
39
18
0957-4174
Citations 
PageRank 
References 
6
0.49
13
Authors
2
Name
Order
Citations
PageRank
Shima Mohebbi1333.12
Xueping Li217113.01