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Defects tracking in mass customisation production using defects tracking matrix combined with principal component analysis

机译:使用缺陷跟踪矩阵结合主成分分析的大规模定制生产中的缺陷跟踪

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摘要

One of the most important quality control tools for mass customisation production (MCP) is defects tracking. Classical statistical process control and design of experiment technologies are not useful for MCP quality control due to the extensive difference in organisational structures, values, management roles and systems, learning and training techniques and customer relations with the traditional mass production. Defects tracking work is often affected by the frequent reconfiguration of the production line and the interruption of the quality information flow. The purpose of this research is to develop an effective and efficient tool for defects tracking in MCP. A defect tracking matrix (DTM) based on house of quality is constructed to directly connect manufacturing technologies with quality defects within a production module. An AHP method is employed and a new correlation coefficients calculation algorithm is proposed to build the 'house'. The matrix, which is called 'defect-gene matrix', contains core defects and manufacturing technologies extracted from DTM by using principle component analysis. The defect-gene matrix can identify and track defects in mass customisation production without being affected by the frequent reconfiguration of the production line and the interruption of the quality information flow. The application revealed that the proposed DTM and defect-gene matrix was an effective and efficient tool for defects tracking in MCP. The defect-gene matrix brings a novel idea to defects tracking. The results of this research will help systematically in defects tracking in MCP.
机译:批量定制生产(MCP)最重要的质量控制工具之一是缺陷跟踪。由于组织结构,价值,管理角色和系统,学习和培训技术以及与传统批量生产的客户关系存在巨大差异,因此经典的统计过程控制和实验技术设计对于MCP质量控制没有用。经常对生产线进行重新配置以及中断质量信息流通常会影响缺陷跟踪工作。这项研究的目的是开发一种有效且高效的工具来跟踪MCP中的缺陷。构建基于质量屋的缺陷跟踪矩阵(DTM),以将生产技术与生产模块中的质量缺陷直接相连。采用层次分析法,提出了一种新的相关系数计算算法来建造“房屋”。该矩阵称为“缺陷基因矩阵”,包含核心缺陷和通过使用主成分分析从DTM中提取的制造技术。缺陷源矩阵可以识别和跟踪大规模定制生产中的缺陷,而不受生产线频繁重新配置和质量信息流中断的影响。该申请表明,提出的DTM和缺陷基因矩阵是MCP中缺陷跟踪的有效工具。缺陷生成矩阵为缺陷跟踪带来了新思路。这项研究的结果将有助于系统地跟踪MCP中的缺陷。

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