Abstract: There is provided a computer implemented method of transforming an unstructured set of data to a structured set of data. In some examples, the method comprises segmenting the unstructured set of data into segments, classifying each segment, extracting key terms from each segment using an extraction model, the extraction model selected from a plurality of extraction models based on the classification of the segment, generating the structured set of data using the segments and the extracted key terms.

Abstract: There is provided a computer implemented method of transforming an unstructured set of data to a structured set of data. In some examples, the method comprises segmenting the unstructured set of data into segments, classifying each segment, extracting key terms from each segment using an extraction model, the extraction model selected from a plurality of extraction models based on the classification of the segment, generating the structured set of data using the segments and the extracted key terms.

Abstract: A representative implementation of a method begins when a planner captures assumptions about products and components in an entity called a “scenario.” A scenario is the parameterization of all the demand, financial, and operational information for a portfolio of products and components across a set of time buckets (planning periods). The planner then specifies a component plan to be analyzed, which identifies the quantities of each resource that will be used or procured during each planning period. A request for analysis includes one or more analysis parameters that will be used in order to evaluate the performance and the risks associated with the component plan and scenario. The request for analysis is submitted to an analysis engine for calculation of risk indicators. The analytical engine calculates all the performance indicators and returns the results. The results are then typically stored in a database or other persistent storage system.

Abstract: A representative implementation of a method begins when a planner captures assumptions about products and components in an entity called a “scenario.” A scenario is the parameterization of all the demand, financial, and operational information for a portfolio of products and components across a set of time buckets (planning periods). The planner then specifies a component plan to be analyzed, which identifies the quantities of each resource that will be used or procured during each planning period. A request for analysis includes one or more analysis parameters that will be used in order to evaluate the performance and the risks associated with the component plan and scenario. The request for analysis is submitted to an analysis engine for calculation of risk indicators. The analytical engine calculates all the performance indicators and returns the results. The results are then typically stored in a database or other persistent storage system.

Abstract: A method and apparatus for component plan analysis under uncertainty is disclosed. A representative implementation of this method begins when a planner captures assumptions about products and components in an entity called a “scenario.” A scenario is the parameterization of all the demand, financial, and operational information for a portfolio of products and components across a set of time buckets (planning periods). The planner then specifies a component plan to be analyzed. The component plan identifies the quantities of each resource that will be used or procured during each planning period. The planner then generates a request for analysis including one or more analysis parameters that will be used in order to evaluate the performance and the risks associated with the component plan and scenario. The request for analysis is submitted to an analysis engine for calculation of risk indicators. The analytical engine calculates all the performance indicators and returns the results.