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Systematic Approach for Uncertainty Delta E Data for Composites Panel Coating Analysis

机译:复合材料面板涂层分析的不确定性ΔE数据的系统方法

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In general, Aerospace industry has been developing significantly throughout the economy as demands on technology in advanced transportation is increasing. Furthermore, as a multi-billion dollar industry, the efforts is needed to sustain high quality of products for safety, minimizing waste during process and increase in a pace of manufacturing. Therefore, Six Sigma tool which is DMAIC approach is chosen to presents a case of an efficient and systematic method of improvement cycle 'Define, Measure, Analyze, Improve and Control' to define and analysis defect, hence to improve the quality of production in aerospace industry. In this study, the focus is done by studying how the implementation of Six Sigma on an aerospace company especially to solve the problem of uncertainty condition of Delta-E for Panel Coating. By using the DMAIC approaches, defects and problems that arise in the production line of the company are being sorted out and solved. Trials and experiments were also conducted on the company's production line and the data is being collected for analysis and study purpose. Through observation and data taken from above problem, analyzed results perform remarkable solution to be applied by Aerospace Industry.
机译:总的来说,随着在先进运输中的技术的需求增加,航空航天产业在整个经济中都在开发。此外,作为一家多十亿美元的行业,需要努力维持高质量的产品,以便安全,最大限度地减少流程期间的浪费,并增加制造步伐。因此,选择六种作为DMAIC方法的六种Sigma工具,以提出有效和系统的改进循环方法的情况,限定,测量,分析,改进和控制'定义和分析缺陷,从而提高航空航天的生产质量行业。在这项研究中,重点是通过研究如何在航空航天公司实施六西格玛,特别是解决面板涂层δ-e不确定性条件问题。通过使用公司生产线中出现的DMAIC方法,缺陷和问题正在被整理和解决。在公司的生产线上还进行了试验和实验,并收集数据进行分析和研究目的。通过从上述问题采取的观察和数据,分析结果表现了航空航天行业的卓越解决方案。

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