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Supply chain forecasting system

机译:供应链预测系统

摘要

Systems and methods are described for supply chain vulnerability forecasting using external event data is described. The method may include identifying historic data from each entity of a plurality of entities connected in a supply chain, aggregating temporal-based information relating to the entities and to relations among the entities into one or more time periods based on the historic data, training a cognitive prediction model using the aggregated temporal-based information, generating a vulnerability score for each entity, generating a recommendation for at least one entity if the vulnerability score for the at least one entity is above a preset threshold, retraining the cognitive prediction model using changed data of the at least one entity, and adjusting the vulnerability score based on the retraining.
机译:描述了用于使用外部事件数据的供应链漏洞预测来描述系统和方法。 该方法可以包括从连接在供应链中连接的多个实体的每个实体的历史数据,基于历史数据培训一个或多个时间段聚合与实体有关的基于时间的信息,以及将实体之间的关系。 认知预测模型使用聚合的时间基信息,为每个实体生成漏洞得分,如果至少一个实体的漏洞得分高于预设阈值,则生成至少一个实体的推荐,使用改变来再次恢复认知预测模型 至少一个实体的数据,并基于再培训来调整漏洞分数。

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