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Six Sigma Approach to Improve Stripping Quality of Automotive Electronics Component - a case study

机译:提高汽车电子组件剥离质量的六种西格玛方法 - 以案例研究

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Lacking of problem solving skill techniques and cooperation between support groups are the two obstacles that always been faced in actual production line. Inadequate detail analysis and inappropriate technique in solving the problem may cause the repeating issues which may give impact to the organization performance. This study utilizes a well-structured six sigma DMAIC with combination of other problem solving tools to solve product quality problem in manufacturing of automotive electronics component. The study is concentrated at the stripping process, a critical process steps with highest rejection rate that contribute to the scrap and rework performance. The detail analysis is conducted in the analysis phase to identify the actual root cause of the problem. Then several improvement activities are implemented and the results show that the rejection rate due to stripping defect decrease tremendously and the process capability index improved from 0.75 to 1.67. This results prove that the six sigma approach used to tackle the quality problem is substantially effective.
机译:缺乏解决问题的技能和支持组之间的合作是始终面临的实际生产线的两个障碍。细节分析不足和解决问题的不恰当技术可能导致重复问题可能会影响组织性能。本研究利用了结构良好的六西格玛DMAIC,其结合了其他问题解决工具,以解决汽车电子部件制造中的产品质量问题。该研究集中在汽提过程中,是具有最高抑制率的关键过程步骤,其有助于废料和返工性能。细节分析在分析阶段进行,以确定问题的实际根本原因。然后实施了几种改进活动,结果表明,由于剥离缺陷引起的抑制率巨大地减少,过程能力指数从0.75增加到1.67。这结果证明,用于解决质量问题的六种Sigma方法是有效的。

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