一种基于模糊FMEA的内部服务故障管理逆向推导方法

Wentao Zhang, Xiang-bin Yan
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引用次数: 0

摘要

内部服务在客户服务过程中起着重要的作用。内部服务过程中出现的任何故障都会影响到客户服务质量。在此基础上,我们提出了一种分析方法,通过这种方法,内部服务故障可以沿着服务蓝图从客户(外部)服务故障中反向导出。在对内部服务故障模式进行风险优先级评估时,采用模糊逻辑,消除了传统FMEA的不足。在案例分析部分,将逆向推导模糊FMEA (RDF-FMEA)方法应用于中国资源卫星数据应用中心数据分发服务,识别出17种内部服务故障模式,并估算出模糊风险优先级。分析了10种最危险失效模式的原因,并提出了相应的纠正措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A reversely deriving approach to internal service failure management using fuzzy FMEA
Internal service plays a significant role in the customer service process. Any failure occurs in the internal service process will damage the customer service quality. Out of this, we proposed an analyzing approach by which internal service failures can be derived reversely from the customer (external) service failures along the service blue-print. Fuzzy logic was adopted to eliminate the deficiencies of traditional FMEA while estimating the risk priorities of the internal service failure modes. In the case study part, the Reversely Deriving Fuzzy FMEA (RDF-FMEA) approach was applied to the data distribution service of the China Center for Resources Satellite Data and Application. 17 internal service failure modes were identified and the fuzzy risk priorities were estimated. The causes of 10 riskiest failure modes were analyzed and corresponding corrective actions were proposed.
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