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A Negotiation Optimization Strategy of Collaborative Procurement with Supply Chain Based on Multi-Agent System

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  • Chouyong Chen
  • Chao Xu

Abstract

In the process of collaborative procurement, buyers and suppliers are prone to conflict in cooperation due to differences in needs and preferences. Negotiation is a crucial way to resolve the conflict. Aimed at ameliorating the situations of underdeveloped self-adaptive learning effect of current collaborative procurement negotiation, this paper constructs a negotiation model based on multi-agent system and proposes a negotiation optimization strategy combined with machine learning. It provides a novel perspective for the analysis of intelligent SCM. The experimental results suggest that the proposed strategy improves the success rate of self-adaptive learning and joint utility of agents compared with the strategy of single learning machine, and it achieves win-win cooperation between purchasing enterprise and supplier.

Suggested Citation

  • Chouyong Chen & Chao Xu, 2018. "A Negotiation Optimization Strategy of Collaborative Procurement with Supply Chain Based on Multi-Agent System," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-8, August.
    • Handle: RePEc:hin:jnlmpe:4653648
    DOI: 10.1155/2018/4653648
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