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Six Sigma for improving aesthetic defects in aluminum profiles facility

机译:六个Sigma用于改善铝型材设备的美学缺陷

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Purpose - This paper aims to develop a quality plan to detect aesthetic defects in extruded aluminum profiles before the fabrication stage based on the Six Sigma improvement methodology in an aluminum facility. These defects are hard to be detected at the fabrication stage. It is also hard to be fixed in the site. Design/methodology/approach - The research methodology utilized the DMAIC framework (define, measure, analyze, improve and control). The methodology relies on statistical analysis (histogram, control charts and Pareto) and field work (observations, focus groups and interviews). Findings - The process shows significant improvement in aesthetic defect reduction that aids in reaching a Four Sigma quality level. Practical implications - Aluminum fabrication is known to be vulnerable for many types of defects such as scratches and debris on work surface. In addition, post-fabrication defects may also occur due to improper coating caused by chemical imbalance, blocked filters or blocked sprays. Originality/value - The main contribution of this research is to demonstrate the use of DMAIC framework to reduce the aluminum aesthetic defects that reach the end customer. The Six Sigma methodology is a well-known quality improvement framework that relies heavily on quantitative data. More precisely, it is widely used to control defects in quantities such as weights, heights, etc. In this research, it has been used to control qualitative data (aesthetic). This will enable objective decisions for facility management rather than subjective.
机译:目的-本文旨在根据铝工厂的六西格玛改进方法,制定质量计划,以在制造阶段之前检测出挤压铝型材的美学缺陷。这些缺陷在制造阶段很难被发现。也很难在站点中进行修复。设计/方法/方法-研究方法利用了DMAIC框架(定义,测量,分析,改进和控制)。该方法学依靠统计分析(直方图,控制图和帕累托)和现场工作(观察,焦点小组和访谈)。调查结果-该工艺在减少美学缺陷方面显示出显着改善,有助于达到4西格玛质量标准。实际意义-众所周知,铝加工容易受到许多类型的缺陷的影响,例如工作表面的划痕和碎屑。此外,由于化学不平衡,过滤器堵塞或喷雾堵塞造成的涂层不当,也可能导致制造后缺陷。原创性/价值-这项研究的主要贡献是证明使用DMAIC框架减少了到达最终客户的铝制美学缺陷。六西格码方法是众所周知的质量改进框架,该框架严重依赖定量数据。更准确地说,它被广泛地用于控制重量,高度等数量上的缺陷。在本研究中,已被用于控制定性数据(美学)。这将使设施管理能够做出客观的决定,而不是主观的。

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