Abstract: Systems and methods for addressing gaps in an industrial operation due to operator variability are disclosed herein. In one aspect of this disclosure, a method for addressing gaps in an industrial operation due to operator variability includes processing input data received from one or more data sources to identify a best operator of a plurality of operators responsible for managing the industrial operation, and determining if one or more gaps exist in the economic operation of the industrial operation due to operator variability between the best operator and operators other than the best operator. Identified gaps may be analyzed to determine if relevant characteristics associated with the gaps justify at least one solution for addressing the gaps for the particular industrial operation. At least one solution may be identified and mapped to the gaps in some instances.

Abstract: Systems and methods for providing operator variation analysis for an industrial operation are disclosed herein. In one aspect of this disclosure, a method for providing operator variation analysis includes processing input data received from one or more data sources to identify steady state process data relating to the industrial operation and selecting one or more types of data in the steady state process data to cluster for operator variation analysis. The one or more types of data are clustered using one or more data clustering techniques, and the clustered one or more types of data are analyzed to identify a best operator of a plurality of operators responsible for managing the industrial operation. Information is analyzed to determine if one or more gaps exist in the economic operation of the industrial operation due to operator variability between the best operator and other operators.

Abstract: Systems and methods for benchmarking operator performance for an industrial operation are disclosed herein. In one aspect of this disclosure, a method for benchmarking operator performance for an industrial operation includes receiving input data relating to the industrial operation from one or more data sources, and processing the input data to measure operator effectiveness and build a data repository for benchmarking/analytics. The data repository may include information relating to the measured operator effectiveness, for example. Biggest contributors of operator variability may be identified based on an analysis of the data repository, and one or more actions may be taken to reduce or eliminate the biggest contributors of operator variability.

Abstract: Systems and methods for providing operator variation analysis for an industrial operation are disclosed herein. In one aspect of this disclosure, a method for providing operator variation analysis includes processing input data received from one or more data sources to identify transient or non-steady state process data relating to the industrial operation and selecting one or more types of data in the transient or non-steady state process data to cluster for operator variation analysis. The one or more types of data are clustered using one or more data clustering techniques, and the clustered one or more types of data are analyzed to identify a best operator of a plurality of operators responsible for managing the industrial operation. Information is analyzed to determine if one or more gaps exist in the economic operation of the industrial operation due to operator variability between the best operator and other operators.