Multivariate control charts have been widely used in many industries to monitor and diagnose processes characterized by a large number of quality characteristics. Usually, these characteristics are highly correlated with each other. The direct use of ...
Processes characterized by high dimensional and mixture data challenge traditional statistical process control charts. In this study, we propose a multivariate control chart based on the Gower distance that can handle a mixture of continuous and ...
In many quality control applications, the necessary distributional assumptions to correctly apply the traditional parametric control charts are either not met or there is simply no enough information or evidence to verify the assumptions. It is well ...
Association for Computing Machinery
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