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The Implementation of Lean Six Sigma in A Book Manufacturing Company: A Case Study

机译:在一本书制造公司中实施精益六西格玛:案例研究

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A book consists of cover and its contents. The finishing process of the book manufacturing is done to bind between cover and contents of the book using saddle stitcher machine. Based on a sampling conducted on March to May 2018 number of defect found in the process are 1,127 units or 0.062% during the finishing process. The assembly process mostly causes the defect product. Increasing process, there is no reference about the machine speed. Machine that run at high speed resulted in higher defects of either a set of the number of content or no sewing on the product and the cutting result is not neat so it takes time to collect the defect product and do the rework. The purpose of this research is to identify and analyze the cause of defect product and provides suggestions for quality product improvement to reduce waste defect during finishing process. Lean six sigma has the same DMAIC (Define-Measure-Analyze-Improve-Control) improvement process as six sigma, with six sigma tools and lean tools. The results of this research show that by using lean six sigma method, 3 types of defect was found, namely unkempt cutting, defect printing, and wrinkles with the average DPMO and the average sigma score of 2,886.50 and 4.26 respectively. The cutting process has the higher priority for improvement. The cause of the defect product is that there is no reference about the machine speed. The suggestion for improvement is to use simple mathematical model to determine the optimal speed of the machine to minimize relevant costs.
机译:一本书由封面及其内容组成。书籍制造的整理过程是使用马鞍缝纫机绑定书籍的封面和内容。根据3月至2018年5月进行的采样,在整理过程中,该过程中发现的缺陷数量为1,127个单位或0.062%。装配过程主要导致缺陷产品。增加过程,对机器速度没有参考。高速运行的机器导致产品数量的缺陷或产品上没有缝制,切割结果并不整齐,因此收集缺陷产品需要时间并进行返工。本研究的目的是识别和分析缺陷产品的原因,并为优质产品改进提供了建议,以减少整理过程中的废物缺陷。瘦六西格玛具有与六西格玛相同的DMAIC(定义测量分析 - 改进控制)改进过程,具有六种Sigma工具和精益工具。该研究的结果表明,通过使用瘦六西格玛方法,发现了3种类型的缺陷,即易爆的切割,缺陷印刷,平均DPMO的皱纹和平均Sigma得分分别为2,886.50和4.26分。切割过程具有更高的改进优先级。缺陷产品的原因是对机器速度没有参考。改进的建议是使用简单的数学模型来确定机器的最佳速度,以最大限度地降低相关成本。

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