Control charts in a multi product environment: An application study
Thomas Muehlenstaedt

TL;DR
This paper presents a case study on applying standardized control chart methods to monitor a multi-product manufacturing process, enabling integrated detection of process deviations and root cause analysis.
Contribution
It introduces a standardization approach for control charts in multi-product environments, facilitating unified process monitoring and deviation detection.
Findings
Effective detection of process deviations across multiple products
Enhanced root cause analysis through integrated control chart monitoring
Improved process control in multi-product manufacturing settings
Abstract
In this article an SPC case study is presented. It consists of monitoring a manufacturing process used for different products of similar kind. So far, each of these products is monitored individually. However, if there is e.g. a quality problem with one joint component, this signal will be distributed over different control charts. Therefor a standardization is introduced, similar to short run SPC methods. Then control chart methods are applied to detect process deviations. If there are observations out of control, a next step is taken and process information are analysed in order to derive possible root causes.
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Taxonomy
TopicsAdvanced Statistical Process Monitoring · Fault Detection and Control Systems · Scientific Measurement and Uncertainty Evaluation
