Hotelling T-square control chart is an extension of univariateshewhart control chart where two or more related quality variables can be monitored simultaneously. Univariateshewhart control chart provides a good approach for monitoring quality variables separately, but most often in industry, some degree of correlation due exist between quality variables and which makes the so-called univariateshewhart chart in-appropriate for monitoring quality in production processes. However, when the quality variables are correlated then the most suitable approach for multivariate process monitoring is the Hotelling T-square control chart. In this research, a multivariate data at the early stage of production consisting of individual observations obtained from Dana Steel Company Ltd katsina is analyzed for quality, and the result of the retrospective analysis shows that at the initial stage of production the data is in statistical control.
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