Ats Automation Tooling Systems Inc.

Stanley Wellington Kleinikkink

Mehdi Sadeghzadeh

Yang Wang

Nick Foisy

Stephen Bacso

Nicholas Willison

Masoud Kheradmandi

Bo Yuan Chang

Louis Ian Cameron

Ehsan Shojaei-Baghini

Dennis Clifton Murray

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.

Systems and methods for modeling a manufacturing assembly line

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.

A system for visual state identification including: a visual display system including a plurality of light displays, each of the light displays provided to different physical locations on an automation system; an execution device operatively connected to the visual display system, including: an input device configured to receive data from the automation system; and computer readable instructions which, if executed by a processor, cause the processor to: receive input data; determine the state of the automation system based on the input data, wherein the state may include an area of interest related to one of the different physical locations; communicate with the visual display system to selectively light a portion of one or more of the plurality of light displays to display the state of the automation system and the physical location of the area of interest.

System and method for visual state identification of automation systems

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Cambridge, Canada

Stanley Wellington Kleinikkink