批发价格合同多主体公平谈判的模糊指导策略

Omar Kallel, Inès Ben Jaâfar, L. Dupont, K. Ghédira
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引用次数: 1

摘要

本文研究了一个零售商从多个分包商处购买商品的供应链中批发价格合同的谈判问题。目标是帮助信息不对称情况下的行为体达成协议并建立公平合同。因此,我们提出了两个具有相同体系结构的多智能体模型;一个零售商代理与几个分包商代理进行谈判,一个公平代理试图在谈判中提供一些公平指导。在第一个模型(AGS)中,当一个代理人提出相对较低或较高的报价时,公平代理人进行干预;他要求代理人表现得不同。在第二种模型(DGS)中,当谈判者的保证金率出现显著差异时,公平代理人进行干预;他通过给出下一步应用的新利率来指导他们。实验结果表明,DGS比AGS效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy guidance strategies for fair multi-agent negotiation of wholesale price contracts
In this paper, we investigate the negotiation aspect of wholesale price contracts in a supply chain with a retailer buying from several subcontractors. The objective is to help actors in an asymmetric informational context to reach agreements and establish fair contracts. Thus, we present two multi-agent models with the same architecture; a retailer agent negotiating with several subcontractor agents and a fair agent trying to provide some fairness guidance in the negotiation. In the first model (AGS), the fair agent intervenes when an agent makes a relatively low or high offer; he asks this agent to behave differently. In the second model (DGS), the fair agent intervenes when a significant difference appears between the margin rates of the negotiators; he directs them by giving the new rate to apply in the next step. Experiments show more fair results with DGS than AGS.
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