Abstract:This paper addresses challenges related to deploying analytics in the manufacturing environment. It discusses how to blend univariate and multivariate analyses into a deployment that can be successfully used by those not trained in Data Science. 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… Show more
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