基于6Sigma方法的计算机结构件质量提升的应用研究
发布时间：2018-08-28 19:01
【摘要】：全球经济一体化的背景下，计算机代工行业的准入门槛降低，大量新的代工企业进入使产品和服务的差异化无法体现，同质化的价格竞争使成本低的企业才能获得订单和生存的机会。计算机代工为典型的来料加工模式，原材料的成本占总成本的70%以上。代工企业降低总成本必须要降低原材料的购买成本，因为电气部件（如CPU，硬盘，内存，IC）等都是由国际大厂控制，代工企业能够控制价格的主要是结构件，，所以代工企业都降低结构件的采购价格来降低总成本。采购价格的降低带来质量水准的降低，大量的结构件材料不良导致代工企业失败成本上升，提升结构件供应的质量水准而又能保持价格水准成为代工企业亟待解决的问题。 本文以六西格玛质量管理方法的定义，分析，测量，改进，控制（DMAIC）的五步骤法研究结构件质量的提升。首先以生产线和客户投诉的结构件质量问题分析作为项目的切入点，通过流程图，流程分析，将顾客声音分析转化为内部流程关键点等方法界定项目的范围，确定结构件的尺寸精确水准为主要问题点。随即定义项目主题、目标及组建团队。然后对项目定义的主题—“结构件的质量提升”使用测量系统分析（MSA），过程能力指数（CPK）等工具评估当前结构件质量水准和存在的具体问题点。进一步使用因果图，柏拉图，单因素分析等分析数据。以实验设计（DOE）的正交表实验方案得到影响因子的方差，残差，F比分析。使用Minitab工具分析等高线，响应优化，得到金属冲压件的关键因子为闭模高度，其最优设定值为288.0667mm。注塑成型关键因子为保压力，其最优设定值为239kg/cm2。参数优化后重新评估过程能力水准达到六西格玛以上。最终使用回归分析建立因子影响回归模型。项目实施以后结构件在企业生产线的质量异常降低了64.8%.项目降低质量失败成本约140万元。企业结构件供应商的质量水准从平均3.6西格玛提升到5.2西格玛，提升了公司供应链及整体竞争力。
[Abstract]:In the context of global economic integration, the entry threshold of the computer contract industry has been lowered, and a large number of new contract enterprises have entered to make the differentiation of products and services impossible. The homogeneous price competition enables the low-cost enterprise to obtain the order and the survival opportunity. The cost of raw materials accounts for more than 70% of the total cost. In order to reduce the total cost of manufacturing, the cost of purchasing raw materials must be reduced because electrical components (such as CPU, hard drives, memory ICs) are controlled by large international manufacturers, and the main components that contract manufacturers can control prices are structural parts. Therefore, contract enterprises reduce the purchase price of structural parts to reduce the total cost. The decrease of purchasing price leads to the decrease of quality level, and the bad materials of a large number of structural parts lead to the rise of the cost of failure in the contract manufacturing enterprises. It is urgent to solve the problem of improving the quality level of the supply of structural parts while maintaining the price level. In this paper, a five-step method of analyzing, measuring, improving and controlling (DMAIC) is used to study the quality improvement of structural parts by the definition of six Sigma quality management method. First of all, take the quality analysis of production line and customer complaints as the entry point of the project, through the flow chart, process analysis, the customer voice analysis into the internal process key points and other methods to define the scope of the project, Determine the dimensional accuracy of the structural parts as the main problem point. Define project topics, goals, and team building. Then, we use the measurement system to analyze the (MSA), process capability index (CPK) and other tools to evaluate the quality level of the current structural parts and the specific problem points for the theme of the project definition: "quality improvement of structural parts". Further use causality diagram, Plato, single factor analysis and other analytical data. The variance of the influence factors and the residual F ratio analysis were obtained by designing the orthogonal table experiment scheme of (DOE). By using Minitab tool to analyze the contour, the key factor of metal stamping is the closed die height, and the optimal setting value is 288.0667mm. The key factor of injection molding is pressure keeping, and its optimal setting value is 239kg / cm ~ 2. After parameter optimization, the reassessment process capability level is above six Sigma. Finally, regression analysis was used to establish the regression model of factor influence. After the implementation of the project, the quality of structural parts in the enterprise production line decreased 64.8%. The cost of reducing the quality failure of the project is about 1.4 million yuan. The quality level of enterprise structural parts suppliers increased from an average of 3.6 Sigma to 5.2 Sigma, which improved the supply chain and overall competitiveness of the company.
【学位授予单位】：上海交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP311.5
本文编号：2210313
[Abstract]:In the context of global economic integration, the entry threshold of the computer contract industry has been lowered, and a large number of new contract enterprises have entered to make the differentiation of products and services impossible. The homogeneous price competition enables the low-cost enterprise to obtain the order and the survival opportunity. The cost of raw materials accounts for more than 70% of the total cost. In order to reduce the total cost of manufacturing, the cost of purchasing raw materials must be reduced because electrical components (such as CPU, hard drives, memory ICs) are controlled by large international manufacturers, and the main components that contract manufacturers can control prices are structural parts. Therefore, contract enterprises reduce the purchase price of structural parts to reduce the total cost. The decrease of purchasing price leads to the decrease of quality level, and the bad materials of a large number of structural parts lead to the rise of the cost of failure in the contract manufacturing enterprises. It is urgent to solve the problem of improving the quality level of the supply of structural parts while maintaining the price level. In this paper, a five-step method of analyzing, measuring, improving and controlling (DMAIC) is used to study the quality improvement of structural parts by the definition of six Sigma quality management method. First of all, take the quality analysis of production line and customer complaints as the entry point of the project, through the flow chart, process analysis, the customer voice analysis into the internal process key points and other methods to define the scope of the project, Determine the dimensional accuracy of the structural parts as the main problem point. Define project topics, goals, and team building. Then, we use the measurement system to analyze the (MSA), process capability index (CPK) and other tools to evaluate the quality level of the current structural parts and the specific problem points for the theme of the project definition: "quality improvement of structural parts". Further use causality diagram, Plato, single factor analysis and other analytical data. The variance of the influence factors and the residual F ratio analysis were obtained by designing the orthogonal table experiment scheme of (DOE). By using Minitab tool to analyze the contour, the key factor of metal stamping is the closed die height, and the optimal setting value is 288.0667mm. The key factor of injection molding is pressure keeping, and its optimal setting value is 239kg / cm ~ 2. After parameter optimization, the reassessment process capability level is above six Sigma. Finally, regression analysis was used to establish the regression model of factor influence. After the implementation of the project, the quality of structural parts in the enterprise production line decreased 64.8%. The cost of reducing the quality failure of the project is about 1.4 million yuan. The quality level of enterprise structural parts suppliers increased from an average of 3.6 Sigma to 5.2 Sigma, which improved the supply chain and overall competitiveness of the company.
【学位授予单位】：上海交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP311.5
【参考文献】
相关期刊论文 前4条
1 潘尔顺,徐小芸;田口方法在冲压仿真建模参数优化中的应用研究[J];工业工程与管理;2004年05期
2 戴心雨;谭昌发;奚立峰;;基于多因素的铸件产品质量研究[J];工业工程与管理;2006年03期
3 孙宝寿;邓益民;顾伯勤;黄筱调;;基于DOE的注塑成型工艺参数优化[J];机械制造;2008年08期
4 刘源张;;30年中国质量管理谈[J];上海质量;2009年01期
本文编号：2210313
本文链接：https://www.wllwen.com/guanlilunwen/gongyinglianguanli/2210313.html
