A Multi-Agent Supply Chain Recommendation and Negotiation Framework

Abstract:

Supply Chain is a network of organizations and their associated activities that work together to create value for the customer. This paper aims to present comprehensive and systematic negotiation and recommendation framework for e-Supply Chain by using multi-agent approach. Such framework should receive suppliers material offers, rank the suppliers, and provide recommendations for customers. On behalf of the standard tasks like interface, recommendation, negotiation, and data retrieval, some agents have designed to use neural network for supplier ranking and classification for data filtering to reduce the information overload and enhance the negotiation ability of the agents. Besides, it would customize the information for users based on their interests.

• Periodical: Advanced Materials Research (Volume 716)
• Pages: 527-532
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.716.527
• Online since: July 2013
• Authors: Jahani Alireza, Azmi Murad Masrah Azrifah, Sulaiman Nasir, Selamat Hasan
• Keywords: Multi-Agent System (MAS), Negotiation, Recommendation, Supply Chain Management

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