Online quality monitoring and smart manufacturing

Abstract

Abstract The purpose of this study was to develop an innovative supervisor system to assist the operators in an industrial manufacturing process to help discover new alternative solutions for improving both the products and the manufacturing process. This paper presents the solution for integrating different types of statistical modelling methods for a usable industrial application in quality monitoring. The usability of the tool was tested both offline and online in two case studies

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