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Fuzzy assessment analysis and key improvements to a production system

机译：生产系统的模糊评估分析与关键改进

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The framework of Six Sigma Define-Measure-Analyze-Improve-Control was applied in this study, and various tools and techniques were used at different stages to implement lean measures to ensure quality. The purpose of this paper is to develop a decision-making framework that assesses key quality performance to ensure that practitioners improve quality and control by modeling and optimizing production processes. Design/methodology/approach - A model of a quality performance index system was established. The weights of factors and sub-factors, which were estimated using an FAHP, were used as a reference for the decision maker under fuzzy uncertainly to make a decision, and thus, results present the bottlenecks in processes. Furthermore, any other factors that may affect the key process bottlenecks must be considered. The critical to quality characteristics were determined, and factor levels were set. The interaction between the factors was analyzed, their significance was studied using the Design of experiments and the parameters were predicted. Finally, quality improvement decisions were made through failure mode and effects analysis. Findings - The implementation results of this research prove that the proposed model could successfully determine the key processes and focus on the improvement of critical quality factors under limited resources. Originality/value - This study establishes a set of performance appraisal methods for production systems, which can be used for improving productivity and quality.
机译：在本研究中应用了六种Sigma定义措施分析 - 改进控制的框架，并且在不同阶段使用了各种工具和技术，以实现贫措施以确保质量。本文的目的是制定一个决策框架，评估关键质量绩效，以确保从业者通过建模和优化生产过程来提高质量和控制。设计/方法/方法 - 建立了质量性能指标体系的模型。使用FAHP估计的因素和子因素的重量被用作决策者在模糊不清的决策者作出决定，因此，结果在过程中呈现瓶颈。此外，必须考虑可能影响关键过程瓶颈的任何其他因素。确定质量特征至关重要，并设定因子水平。分析了因素之间的相互作用，使用实验的设计研究了它们的意义，并预测了参数。最后，通过故障模式和效果分析进行了质量改进决策。调查结果 - 本研究的实施结果证明，拟议的模型可以成功确定关键过程，并专注于在有限资源下提高关键质量因素。原创性/值 - 本研究建立了一套生产系统的绩效评估方法，可用于提高生产力和质量。

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