Fuzzy guidance strategies for fair multi-agent negotiation of wholesale price contracts

Abstract

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.

توسعه‌ی یک مدل برنامه‌ریزی ریاضی دوسطحی به‌منظور مدیریت تدارکات و حل آن از طریق یک الگوریتم ترکیبی

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