IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

E-Supply Network: Network Agents to Support Information Sharing for Buyer-Buyer-Supplier Coordination

E-Supply Network: Network Agents to Support Information Sharing for Buyer-Buyer-Supplier Coordination
View Sample PDF
Author(s): Namjae Cho (Hanyang University, Korea), Iraj Mahdavi (Mazandaran University of Science and Technology, Iran), Nezam Mahdavi-Amiri (Sharif University of Technology, Iran), Shima Mohebbi (University of Tehran, Iran) and Mahdi Zandakbari (Mazandaran University of Science and Technology, Iran)
Copyright: 2011
Pages: 22
Source title: Electronic Supply Network Coordination in Intelligent and Dynamic Environments: Modeling and Implementation
Source Author(s)/Editor(s): Iraj Mahdavi (Mazandaran University of Science and Technology, Iran), Shima Mohebbi (University of Tehran, Iran) and Namjae Cho (Hanyang University, Korea)
DOI: 10.4018/978-1-60566-808-6.ch012

Purchase

View E-Supply Network: Network Agents to Support Information Sharing for Buyer-Buyer-Supplier Coordination on the publisher's website for pricing and purchasing information.

Abstract

Finding most promising suppliers based on consistency with the overall goals of buyers’ companies is of great importance where different small buyers are dependent on large suppliers. Here, the authors attempt to model and implement an e-supply network considering the buyer-buyer-supplier triadic. This approach facilitates horizontal information exchange among buyers in sharing their experience and thereby buyers are inclined to find the most acceptable suppliers. Indeed, vertical information sharing among buyers and suppliers are considered in order to allocate the benefits of the mechanism to all partners while optimizing the network global objective function. The concept of discrepancy is first utilized to search for the most promising suppliers in the network based on the overall goals (exclusive attributes) of buyers and suppliers. Then, products’ specific attributes (bilateral attributes) are used to sharpen the results. At the last step, a genetic algorithm is used by the network agent to coordinate the network. Ultimately, the authors utilize intelligent agents to simulate buyers’ and suppliers’ behaviors with the aim of evaluating the system. They find out that information sharing in supply networks can be effectively established if the barriers of information access and information effects are wisely defined. While the methodology of using information for coordination is still important, the definition of information structure, the way we acquire and maintain the information and the governing rules have critical roles in the success of the system. The agent technology has a key role here enabling the users to utilize the information effects while not having access to them directly.

Related Content

Ana Azevedo. © 2021. 12 pages.
Atik Kulakli. © 2021. 31 pages.
Mouhib Alnoukari. © 2021. 19 pages.
Arun Thotapalli Sundararaman. © 2021. 28 pages.
Mohammad Kamel Daradkeh. © 2021. 22 pages.
Roumiana Ilieva, Malinka Ivanova, Tzvetilina Peycheva, Yoto Nikolov. © 2021. 30 pages.
Walisson Ferreira Carvalho, Luis Zarate. © 2021. 16 pages.
Body Bottom