Ford Global Technolgoies, LLC

Jim Birley

Dimitar Petrov Filev

Devesh Upadhyay

Justin Miller, Jr

Harry Kekedjian

Walter LaPlante

Jyothi Gainadi

Scott Matthew King

Kevin Bartholomew

Harshal Maske

Chetan Patel

Robert Bennett

A system includes a station information system, a portable vision system, and a quality monitoring system. The station information system includes a station computing device configured to provide a notification related to a manufacturing operation performed on a component. The portable vision system includes a quality check module configured to include a station task module configured to execute a quality check task based on an image. The quality monitoring system includes a quality monitoring computing device configured to request the portable vision system to execute the quality check task based on a trigger message from the station information system and to provide a task data message related to the quality check task executed by the portable vision system to the station information system. The station computing device is configured to provide the notification based on the task data message from quality monitoring system via the user interface device.

System for monitoring vehicle manufacturing process employing portable vision system and quality monitoring system

A method includes obtaining state information from one or more sensors of a digital twin. The method includes determining an action at the first routing control location based on the state information, where the action includes one of a pallet merging operation and a pallet splitting operation, and determining a consequence state based on the action. The method includes calculating a transient production value based on the consequence state and a transient objective function, calculating a steady state production value based on the consequence state and a steady state objective function, and selectively adjusting one or more reinforcement parameters of the reinforcement learning system based on the transient production value and the steady state production value.

Systems and methods for training a reinforcement learning system for pallet routing in a manufacturing environment

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Jim Birley