e-Supply network coordination: the design of intelligent agents for buyer-supplier dynamic negotiations

被引:17
作者
Mohebbi, Shima [1 ]
Shafaei, Rasoul [1 ]
机构
[1] KN Toosi Univ Technol, Dept Ind Engn, Tehran, Iran
关键词
e-Supply network coordination; Feasibility analyzer; Automated negotiations; ISSUE TRADE-OFFS; MECHANISMS; MODEL;
D O I
10.1007/s10845-009-0377-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper concentrates on the problem of automated negotiations in e-supply network coordination (e-SNC). Supply network is considered as a collection of agent-mediated decisions and coordination mechanisms in a web-based environment. The proposed agent based coordination model is composed of two negotiator agents and a coordinator agent. The coordination mechanism begins with determining the feasible and most promising partners in the network based on the similarity of profiles. In response to autonomy levels and conflict objectives, the model allows agents to negotiate in a cooperative manner through an iterative process of generating offers for re-establishing global optimality. The dynamic negotiation model is then defined based on the protocol, rule of bargain, proposal generation, and dynamic strategy. To illustrate the model efficiency, a prototype system has been modeled and is compared to the normal tendering mechanism. The validation results confirm the model efficiency in providing coherent decision making in a dynamic environment.
引用
收藏
页码:375 / 391
页数:17
相关论文
共 38 条
[1]  
[Anonymous], 2002, An Introduction to MultiAgent Systems
[2]  
[Anonymous], 2000, Multiagent Systems: AModern Approach to DistributedArtificial Intelligence
[3]   The effect of collaborative forecasting on supply chain performance [J].
Aviv, Y .
MANAGEMENT SCIENCE, 2001, 47 (10) :1326-1343
[4]   A JOINT ECONOMIC-LOT-SIZE MODEL FOR PURCHASER AND VENDOR [J].
BANERJEE, A .
DECISION SCIENCES, 1986, 17 (03) :292-311
[5]  
Buttner R., 2006, P INT C WEB INT INT
[6]   Intelligent agents for e-marketplace: Negotiation with issue trade-offs by fuzzy inference systems [J].
Cheng, Chi-Bin ;
Chan, Chu-Chai Henry ;
Lin, Kun-Cheng .
DECISION SUPPORT SYSTEMS, 2006, 42 (02) :626-638
[7]   A genetic agent-based negotiation system [J].
Choi, SPM ;
Liu, JM ;
Chan, SP .
COMPUTER NETWORKS-THE INTERNATIONAL JOURNAL OF COMPUTER AND TELECOMMUNICATIONS NETWORKING, 2001, 37 (02) :195-204
[8]   Scalable methodology for supply chain inventory coordination with private information [J].
Chu, Chi-Leung ;
Leon, V. Jorge .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 195 (01) :262-279
[9]   Using similarity criteria to make issue trade-offs in automated negotiations [J].
Faratin, P ;
Sierra, C ;
Jennings, NR .
ARTIFICIAL INTELLIGENCE, 2002, 142 (02) :205-237
[10]  
Fukuyama Y., 1989, Proceeding of fifth fuzzy Syst. Sympo, P247