基于模糊物元的制造业供应链质量风险评价

Fuzzy Matter Element Based Evaluation of QualityRisk in ManufacturingSupplyChain

鉴于供应链质量风险事件的危害性,为了帮助制造企业更有效地开展供应链质量风险管理工作,在供应链质量风险诱因分析及风险评价指标设计基础上,采用模糊物元评价方法对设定的研究对象进行供应链质量风险评价.主要是在构建复合模糊物元模型基础上,运用熵值法确定指标权重,并利用欧氏贴近度衡量风险等级.最后通过神经网络仿真,验证了基于模糊物元的供应链质量风险评价的合理性和可靠性.

Under the increasing competitive environment of complex supply chain and diversified customer demand for product quality and customer service,quality risks in supply chain become one key issue of supply chain risks.To help companies effectively identify and manage these risks,the quality risk assessment of quality risks in supply chain was presented on the basis of the fuzzy matter-element（FME）model.The quality risks assessment system was studied and the entropy method for index weight and the Euclid approach degree for risk level were used to construct a composite fuzzy matter element model.At the end,the reasonability of the FME model for supply chain quality risks assessment was verified by the fitting of a neural network simulation.