.png){kind=icon}
返回
Error chain analysis-an effective method for tighter manufacturing process control
.png){kind=icon}
OA
AI
DOI：10.1080/09537287.2020.1749324.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
One of aims of manufacturing quality control is to ensure that products are made free from defects according to specifications without unnecessarily increasing time and cost of production. Over-control of a process can be as detrimental to a manufacturer as under-control. It is common in industry that operators use their personal knowhow and intuition to decide where to implement process verification, and where to tighten it when processes are not meeting specifications. This is partially because there is little scientific guidance that can assist operators in making a decision on levels of quality control of a process at varying stages. To remedy this, a new method for manufacturing quality control, namely Error Chain Analysis (ECA), is introduced and its application is illustrated in this article. ECA is capable of statistically analysing the quality of a multi-stage manufacturing process based on existing control measures, and it enables to indicate where added or tighter control may need to be effectively implemented. For testing its applicability, ECA was built into a user-friendly tool that was subsequently used to analyse data gathered from a large manufacturing company in the UK.
Keyword:
Quality control
quality assurance
FMEA
manufacturing
production
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
P
IF:
5.4
论文数:
2.6K
被引数:
8.1K
机构
引用论文
.png){kind=icon}
分享收藏分享收藏Case study in Six Sigma methodology: manufacturing quality improvement and guidance for managers
OAAI
OAAI分享收藏
查看更多内容