摘要： 在供应链协同过程中常出现价格、数量、交货时间等冲突，若不及时消解会影响供应链的整体利益。为有效化解供应链协同冲突，弥补传统协商缺点，提出一种基于多Agent的自适应协商方法。该方法以二级供应链，即制造商和供应商的订货为研究对象，使用多Agent供应链协同作为约束条件，采用案例推理为主要协商算法，引入灰色关联度到案例集与目标案例相似度中，将遗传算法应用于相似案例议题权重的优化中。通过算例验证该方法可简化案例相似度的计算，提高解决冲突的效率，并加强自适应性，为消解冲突提供最优决策。

关键词: 自适应协商方法, 多Agent, 供应链协同, 灰色关联度, 案例推理, 遗传算法

Abstract: Conflicts like price, amount and delivery time often appear during collaboration of manufacture supply chain, if not eliminated in time, it will affect the whole interest of supply chain. To effectively resolve the conflict of supply chain collaboration and make up for shortcomings of traditional negotiation, this paper proposes a self-adaptive negotiation method based on multi-Agent. This method takes the order of two-echelon supply chain, manufacturer and supplier, as the research object, the multi-Agent supply chain collaboration as constraint condition and the case-based reasoning as the main negotiation algorithm. Gray correlation degree is introduced into the calculation process of similarity for case set and target case. Genetic algorithm is used to optimize the weights of similar case issues. A numerical example is designed to prove this method makes the calculation of case similarity simplified which improves the efficiency of conflict resolution, and strengthens the self-adaptability which provides optimal decision for conflict resolution.

Key words: self-adaptive negotiation method, multi-Agent, supply chain collaboration, gray correlation degree, case-based reasoning, genetic algorithm

中图分类号: 

• TP391