基于多支持向量机系统的供应链伙伴关系协同预警框架

为有效地支持供应链合作伙伴关系，保证供应链的协调性，提出了供应链伙伴关系发展程序和基于多支持向量机系统的分布式供应链伙伴关系协同预警框架，并研究了伙伴关系预警的多Agent实现。首先，论述了包括伙伴关系发展程序的供应链伙伴关系管理2维模型；其次，分析了供应链伙伴关系预警问题以及协同预警决策、支持向量机和分布式委员会机器的内在关联；再次，描述了基于多支持向量机系统的伙伴关系协同预警模型及工作原理，进而研究了多Agent的设计，包括多Agent模型、Agent群体目标和个体目标分析、Agent合作步骤论述。最后，通过示例说明了系统的工作流程。

Coordinated early warning of supply chain partnership based on multi-support vector machines systems

To effectively support supply chain partnership and ensure better collaboration of supply chain, supply chain partnership development programs model and distributed supply chain partnership coordinated early warning framework based on multi support vector machines systems were proposed, subsequently its realization through multi --Agent technology was studied. Firstly,a 2D supply chain management model,including partner development program, was discussed. Then, early warning problem of supply chain partnership, and the internal relationship among supply chain partnership coordinated early warning decision, support vector machines and committee machine were analyzed. Thirdly,based on multi--support vector machines systems,coordinated early warning framework structure of supply chain partnership and its working principles were described. Thereafter, the design of multi--Agent which realized the model was discussed, including, Agent group object and individual object analysis, and Agent cooperation processes analysis. Finally,working process of the system was analyzed through an illustration.