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Reseach Article

Cognitive Parameters based Supplier Agent Selection in Supply chain management

Published on April 2012 by Pawandeep Kour, Babita Pandey
International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
Foundation of Computer Science USA
IRAFIT - Number 6
April 2012
Authors: Pawandeep Kour, Babita Pandey
23f347cf-0eca-4334-83b8-833a011d721c

Pawandeep Kour, Babita Pandey . Cognitive Parameters based Supplier Agent Selection in Supply chain management. International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012). IRAFIT, 6 (April 2012), 14-16.

@article{
author = { Pawandeep Kour, Babita Pandey },
title = { Cognitive Parameters based Supplier Agent Selection in Supply chain management },
journal = { International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012) },
issue_date = { April 2012 },
volume = { IRAFIT },
number = { 6 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 14-16 },
numpages = 3,
url = { /proceedings/irafit/number6/5887-1043/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%A Pawandeep Kour
%A Babita Pandey
%T Cognitive Parameters based Supplier Agent Selection in Supply chain management
%J International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%@ 0975-8887
%V IRAFIT
%N 6
%P 14-16
%D 2012
%I International Journal of Computer Applications
Abstract

Multi agent systems (MAS) have been widely used by many researchers in the different applications of E-Commerce such as Supply chain management (SCM), negotiation and brokering. In this paper, we evaluate supplier agent's various cognitive parameters like adaptability, capability, reputation degree, commitment, efficiency, and trust, for selection of the best supplier agent. The selection of the best supplier from a large number of available suppliers will help organizations to increase their efficiency and this will help negotiation strategies to find out most profitable proposal by which both manufacturer and selected supplier can get profit. In this paper, a logical cognitive model is developed.

References
  1. . Fu-jiang, Ye-zhuang and Xiao-lin. 2006. "Empirical Analysis of the Effects of Supplier Selection and Integration on Customer Satisfaction and Business Performance". School of Management, Harbin Institute of Technology, China.
  2. .Yu, Ying and Qiuyue. November 18-20, 2007. "An Approach of Supplier Selection Based on Multi-agents System". Nanjing, China.
  3. . Tahriri, Osman, Ali and Mohd Yusuff. 2008. "A review of supplier selection methods in manufacturing industries". University of Putra Malaysia, Serdang.
  4. . Wang, Ye and Li. 2010. "Supplier Selection Based on Rough Sets and Analytic Hierarchy Process". School of Information Science & Technology, Southwest Jiaotong University, China and Dept. of Computer Science and Technology, Nanchang Institute of Technology, China.
  5. . Sang and Qi. 2010. "Empirical Analysis of the Performance Evaluation of Supplier Selection in Eco-Enterprises". School of Management, Shandong University of Technology, Zibo.
  6. .Bhushan Mishra and Dass Mazumdar.2011. "Cognitive Parameters Based Seller Agent Selection in B2C E-Commerce". Banaras Hindu University, India.
Index Terms

Computer Science
Information Sciences

Keywords

Supply Chain Management (scm) Agent Negotiation