A Data-based Approach for Quality Regulation
A Data-based Approach for Quality Regulation
复制标题
基于数据的质量监管方法
DOI:
10.1016/j.procir.2016.11.086
复制
发表时间:
2016
期刊:
影响因子:
--
通讯作者:
Schmitt
中科院分区:
文献类型:
--
作者:
Schmitt
In the customized production more complex processes are required. Companies are challenged by monitoring these complex processes which compared to mass production show a lower degree of standardization and are therefore characterized by higher instabilities. Quality management has developed various techniques to deal with instabilities such as error analysis and process monitoring, which are implemented successfully in mass production. These techniques are based on the principle of causality and are effective in identifying, monitoring and adjusting the main cause of error in isolated effect chains. Within the customized production the elimination of the main cause of error does not lead to a sustained improvement of production quality since causes of error differ due to varied products to be manufactured. Furthermore, processes in customized production increasingly imply immanent interdependencies. The emergence of quality along the value chain is thus getting more complex and can less be explained by an effect chain using the principle of causality. The data-based quality regulation is therefore developed in order to achieve high quality in complex production. This paper outlines the data-based quality regulation as well as its need for research. Afterwards, an approach based on a virtual production model to validate suitable data mining methods for the data-based quality regulation is provided.
DOI:
--
发表时间:
2015
期刊:
影响因子:
--
作者:
M. Schenk
通讯作者:
M. Schenk
DOI:
--
发表时间:
2005
期刊:
影响因子:
--
作者:
W. Eversheim;G. Schuh;D. Assmus
通讯作者:
D. Assmus
影响因子:
12.1
作者:
P. Göhner
通讯作者:
P. Göhner