摘要
针对汽车行业对质量风险普遍依托定性评价和考核管理,缺乏定量评估和动态监测的有效方法的痛点,开展供应链质量风险管控的研究。基于供应链链上节点企业运营过程的质量风险具有相关性、积累性和传递性等特点,形成一套集成风险定义、采集、分析、评估、预警、应对为一体的风险定向监测与准确预警的关键技术,包括质量风险指标体系、质量风险算法模型、风险预警法则;整合和挖掘供应链“产”、“销”、“存”全过程的内外部运行数据,建立供应链风险智能分析预测模型,开发汽车供应链质量风险智能预警系统,利用信息技术实现数据采集、分析计算、评估匹配、预警应对的自动化智能监测,突破原有的传统预警技术的局限,实现供应链质量风险数据定量分析与趋势预判,提高整车企业和零部件制造业的风险管控能力,降低质量损失,为汽车行业的质量风险管控提供经验借鉴。
Aiming at the pain points that the automobile industry generally relies on qualitative evaluation and assessment and management of quality risks,and lacks eff ective methods for quantitative assessment and dynamic monitoring,research on supply chain quality risk management and control is carried out.Based on the characteristics of relevance,accumulation and transferability of quality risks in the operation process of node enterprises in the supply chain,a set of integrated risk defi nition,collection,analysis,evaluation,early warning,and response is formed to form a set of risk-oriented monitoring and accurate early warning.Key technologies include quality risk index system,quality risk algorithm model,and risk warning rules.The article integrates and mines the internal and external operating data of the entire supply chain"production","sales"and"storage",and establishes a supply chain risk intelligent analysis and prediction model to develop an intelligent early warning system for quality risk in the automotive supply chain,and uses information technology to realize automatic intelligent monitoring of data collection,analysis and calculation,assessment matching,and early warning response,breaking through the limitations of the original traditional early warning technology,and realizing quantitative analysis and analysis of supply chain quality risk data,so as to improve the risk management and control capabilities of vehicle companies and parts manufacturing,reduce quality losses,and provide experience and reference for quality risk management and control in the automotive industry.
出处
《时代汽车》
2021年第20期157-159,共3页
Auto Time
关键词
汽车供应链
风险预测模型
风险控制方法集
风险定向监测
智能预警系统大数据
automotive supply chain
risk prediction model
risk control method set
risk-oriented monitoring
intelligent early warning system big data
