以客户为导向的可靠性指标和数据收集

R.J. Rusch, D. L. Metz
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引用次数: 8

摘要

今天有很多关于提高客户服务可靠性的讨论。可靠性指标的计算有部分标准化的方法和计算方法。确定真正问题所在的可靠性分析是重要的,这样才能采取有效的行动来改善客户服务。可靠性分析从选择实际反映客户需求的可靠性度量开始。接下来是数据收集和简化。数据收集可能冗长而复杂。它应该简单易懂。本文发展了选择对给定合作社有重要意义的相关指标的推理。然后讨论计算这些指数必须收集的数据以及如何使用收集到的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Customer oriented reliability indices and data collection
There is a lot of discussion today on improving reliability in customer service. There are partially standardized methods and calculations for calculating reliability indices. Reliability analysis that identifies the real problem areas is what is important so effective action can be taken to improve customer service. The reliability analysis begins with selection of reliability measures that actually reflect the needs of your customers. This is followed by data collection and reduction. Data collection can be lengthy and complicated. It should be simple and understandable. This paper develops the reasoning for the selection of relevant indices that are important to a given cooperative. It then discusses the data that must be gathered to compute those indices and how to use the data collected.
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