Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data, extract feature data from the cell data, determine a plurality of faults, determine a priority level for each fault by applying the extracted feature data to a predictive model, determine at least one high priority fault, and generate at least one operator alert based on the at least one high priority fault.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data and line production data, determine one or more production associations between the cell data and the line production data; evaluate the one or more production associations to identify one or more critical production associations; retrieve the cell data and the line production data associated with the one or more critical production associations; and train a predictive model with the retrieved cell data and the retrieved line production data to predict the production level of the manufacturing assembly line.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data, extract feature data from the cell data, determine a plurality of cell configurations, determine an efficiency score by applying the feature data to a predictive model generated for predicting a production level of the manufacturing assembly line, determine at least one target cell configuration from the cell configurations based on the efficiency score, and apply the at least one target cell configuration to at least one cell by implementing each target cell configuration to a corresponding cell.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data and line production data, determine one or more production associations between the cell data and the line production data; evaluate the one or more production associations to identify one or more critical production associations; retrieve the cell data and the line production data associated with the one or more critical production associations; and train a predictive model with the retrieved cell data and the retrieved line production data to predict the production level of the manufacturing assembly line.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data, extract feature data from the cell data, determine a plurality of faults, determine a priority level for each fault by applying the extracted feature data to a predictive model, determine at least one high priority fault, and generate at least one operator alert based on the at least one high priority fault.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data, extract feature data from the cell data, determine a plurality of cell configurations, determine an efficiency score by applying the feature data to a predictive model generated for predicting a production level of the manufacturing assembly line, determine at least one target cell configuration from the cell configurations based on the efficiency score, and apply the at least one target cell configuration to at least one cell by implementing each target cell configuration to a corresponding cell.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data and line production data, determine one or more production associations between the cell data and the line production data; evaluate the one or more production associations to identify one or more critical production associations; retrieve the cell data and the line production data associated with the one or more critical production associations; and train a predictive model with the retrieved cell data and the retrieved line production data to predict the production level of the manufacturing assembly line.

Abstract: A system and method for generating a frame of reference for a plurality of information, the plurality of information containing text data and obtained by a user through interaction with one or more information sources. The method and system include receiving selected information for analysis, the information including a plurality of text data and identifying a plurality of logical units of the text data. Also included are identifying a plurality of individual textual portions in each of the logical units and calculating the number of logical units associated with each of the individual textual portions of the plurality of textual portions for use in identifying a plurality of patterns including a respective pattern for each of the individual textual portions.

Abstract: A method and system include sending a search context to a collaboration server for use in determining another user of the collaboration server that is associated with similar subject matter, the search context including at least one first context definition such that the first context definition has one or more words selected from a first plurality of information belonging to a first search information set of the user. The first plurality of information is related to each other and such relation is represented by the first context definition of the search context. The system and method also include receiving an identification of a matching search context associated with the another user such that the matching search context contains at least one second context definition considered to match the first context definition. The matching second context definition includes one or more words selected from a second plurality of information belonging to a second search information set associated with the another user.

Abstract: A system and method for generating a frame of reference for a plurality of information, the plurality of information containing text data and obtained by a user through interaction with one or more information sources. The method and system include receiving selected information for analysis, the information including a plurality of text data and identifying a plurality of logical units of the text data. Also included are identifying a plurality of individual textual portions in each of the logical units and calculating the number of logical units associated with each of the individual textual portions of the plurality of textual portions for use in identifying a plurality of patterns including a respective pattern for each of the individual textual portions.