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To construct a monitoring mechanism of production loss by using Fuzzy Delphi method and fuzzy regression technique - A case study of IC package testing company

机译:运用模糊德尔菲法和模糊回归技术构建生产损失监控机制-以集成电路封装测试公司为例。

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摘要

The development of information technology and internet capabilities over the years has been at an accelerated pace of global intense challenges and competitions of the technologies markets. Therefore, the issue of effectively utilizing valuable information located in databases worldwide, by monitoring the performance of their operations became an important issue in the electronic business environment. Methods to address this issue were employed to quickly identify the Key Performance Indicators (KPI's) and operational problems and clarify any relationships between them, to allow the overall business objectives to be achieved. In this paper, the Fuzzy Delphi and ranking methods were used to extract the most concerning issues through expert questionnaires. A fuzzy regression model was then constructed and applied to clarify the relationships between the KPI's and the key management objective, the area of production loss. Therefore, the key factors for future improvements were obtained by tracking the fuzzy regression model. Finally a case study of a semiconductor assembly and testing, through a company in Taiwan, was used to illustrate the proposed framework. The results indicated that this model could be easily implemented to analyze the influence of concerned KPIs on key management objectives.
机译:多年来,信息技术和互联网功能的发展一直在加速全球激烈的挑战和技术市场竞争。因此,通过监视数据库的操作性能来有效利用位于全球数据库中的有价值信息的问题已成为电子商务环境中的重要问题。解决此问题的方法被用来快速识别关键绩效指标(KPI)和运营问题,并阐明它们之间的任何关系,以实现整体业务目标。在本文中,使用模糊德尔菲和排名方法通过专家问卷来提取最相关的问题。然后构建了一个模糊回归模型,并将其应用于阐明关键绩效指标与关键管理目标,生产损失面积之间的关系。因此,通过跟踪模糊回归模型获得了未来改进的关键因素。最后,通过一家台湾公司的半导体组装和测试案例研究来说明所提出的框架。结果表明,该模型可以轻松实施,以分析有关KPI对关键管理目标的影响。

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