Enterprise Manufacturing Intelligence (EMI) has found great value in the chemical industry for aiding in timely decision making for improved plant reliability. It typically involves the use of control charts of multiple variables; that is, a univariate approach to data analysis. Another approach is to consider the data all together in a multivariate model, known as multivariate statistical process control (MSPC). Univariate and multivariate statistical process control are complementary techniques that can deliver greater value than either approach alone. Two use cases will be discussed including guidelines for maximizing returns from EMI and MSPC deployments, considerations when setting up the MSPC model and examples for how to interpret MSPC alerts.
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