The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
E-Supply Network: Network Agents to Support Information Sharing for Buyer-Buyer-Supplier Coordination
|
|
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
|
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
|
Dina Darwish.
© 2024.
48 pages.
|
|
Dina Darwish.
© 2024.
51 pages.
|
|
Smrity Prasad, Kashvi Prawal.
© 2024.
19 pages.
|
|
Jignesh Patil, Sharmila Rathod.
© 2024.
17 pages.
|
|
Ganesh B. Regulwar, Ashish Mahalle, Raju Pawar, Swati K. Shamkuwar, Priti Roshan Kakde, Swati Tiwari.
© 2024.
23 pages.
|
|
Pranali Dhawas, Abhishek Dhore, Dhananjay Bhagat, Ritu Dorlikar Pawar, Ashwini Kukade, Kamlesh Kalbande.
© 2024.
24 pages.
|
|
Pranali Dhawas, Minakshi Ashok Ramteke, Aarti Thakur, Poonam Vijay Polshetwar, Ramadevi Vitthal Salunkhe, Dhananjay Bhagat.
© 2024.
26 pages.
|
|
|