基于BP神经网络的装备服务链信任伙伴配置

Trust Partners Configuration for Equipment Operation Service Chain Based on BP Neural Networks

国民经济关键领域的公共事业服务直接关系到公共安全、公众健康以及社会和谐。对于大型装备服务组织,基于信任管理配置服务链是快速响应服务中断、有效履行维护、维修任务的重要保障。建立装备服务链战略合作伙伴的信任评价指标体系;采用BP神经网络为分析工具,选取有代表性的服务链伙伴样本进行训练,用训练好的模型进行新的合作伙伴综合指标情况的预测,为服务链决策者提供一套完整、科学、客观的决策信息。

Public service in the field of the national economy is direcdy related to public security,public health and social harmony.The configuration of services chain in large equipment public service is necessary for maintenance guarantee and fast response to service interruption.Based on trust,the evaluation index system of service chain partner is established.Long term cooperation between the partners can make both of the companies win larger economic benefits, though it is hard to be showed in short period,the trust between them can directly impact the effect of co - operation.The article take BP neural networks as analysis tools to select representative samples to train from the exist suppliers of a company,it provide a complete,,scientific and objective decision - making information for company' s policy makers to forecast the integrative index of new suppliers by referred to the trained suppliers.