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Application of Six Sigma to minimize the defects in glass manufacturing industry A case study

机译:应用六西格码减少玻璃制造行业中的缺陷案例研究

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Purpose - The purpose of this paper is to improve the yield of a particular model of a car windshield, as the organization faces losses due to poor performance and rejection. Design/methodology/approach - The Six Sigma DMAIC (define, measure, analyze, improve and control) methodology is used to reduce variation and defects in the process. It is a methodology based on data-driven and fact-based analysis to find out the root cause of the problem with the help of statistical analysis. A worst performing model is selected as a case study through the scoping tree. The preprocess, printing, bending and layup process defects are reduced by analyzing the potential causes and hypothesis testing. Findings - This paper describes Six Sigma methodology in a glass manufacturing industry in India for automotive applications. The overall yield of a car windshield achieved 93.57 percent against the historical yield of 88.4 percent, resulting in saving 50 lacs per annum. Due to no rework or repairing in the glass, low first-time yield causes major losses. Process improvement through focused cross-functional team reduces variation in the process. Six Sigma improves profitability and reduces defects in the automotive glass manufacturing process. Research limitations/implications - This case study is applied in automotive glass manufacturing industries. For service and healthcare industries, a similar type of study can be performed. Further research on the common type of processor industry would be valuable. Practical implications - The case study can be used as a problem-solving methodology in manufacturing and service industries. The tools and techniques can be used in other manufacturing processes also. This paper is useful for industries, researchers and academics for understanding Six Sigma methodology and its practical implementation. Originality/value - This case study is an attempt to solve automobile glass manufacturing problems through DMAIC approach. The paper is a real case study showing benefits of Six Sigma implementation in the manufacturing industry and saving an annual cost of 50 lacs due to rejections in the process.
机译:目的-本文的目的是提高汽车挡风玻璃特定型号的产量,因为该组织由于性能差和报废而面临损失。设计/方法/方法-六西格玛DMAIC(定义,测量,分析,改进和控制)方法用于减少过程中的变化和缺陷。它是一种基于数据驱动和基于事实的分析的方法,可以借助统计分析来找出问题的根本原因。通过作用域树选择了性能最差的模型作为案例研究。通过分析潜在原因和假设测试,减少了预处理,印刷,弯曲和铺层过程中的缺陷。调查结果-本文介绍了印度玻璃制造行业中用于汽车应用的六西格玛方法。汽车挡风玻璃的总产量达到了93.57%,而历史产量为88.4%,因此每年可节省50 lacs。由于没有对玻璃进行返工或维修,因此初次产率低会造成重大损失。通过集中的跨职能团队改进流程,可以减少流程中的差异。六个西格玛提高了盈利能力,并减少了汽车玻璃制造过程中的缺陷。研究局限性/含义-此案例研究适用于汽车玻璃制造行业。对于服务和医疗保健行业,可以执行类似的研究。对处理器行业的常见类型的进一步研究将是有价值的。实际意义-案例研究可以用作制造和服务行业中的问题解决方法。这些工具和技术也可以在其他制造过程中使用。本文对于行业,研究人员和学者了解六西格码方法论及其实际实施非常有用。原创性/价值-此案例研究旨在通过DMAIC方法解决汽车玻璃制造问题。本文是一个真实的案例研究,显示了在制造业中实施六西格玛的好处,并且由于流程中的废品,每年可节省50紫胶。

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