System, method, and computer-readable storage medium for automated manufacturing defect detection

A method for automated detection of manufacturing defects, comprising:

• receiving, via processing circuitry, historical parts statistics corresponding to a failure of parts used in a vehicle assembly;
• receiving, via the processing circuitry, vehicle sensor statistics corresponding to a failure of parts of post manufactured vehicles;
• receiving, via the processing circuitry, historical assembly line statistics corresponding to a failure of assembly of parts during the vehicle assembly;
• generating, via the processing circuitry, a profile for one or more parts used in the vehicle assembly;
• receiving, via the processing circuitry, an analysis of each of the one or more parts of the assembled vehicle;
• determining, via the processing circuitry, whether any of the one or more analyzed parts deviate from the profile generated for that part;
• and
• in response to a determination that any of the one or more analyzed parts deviate from the profile generated for that part by greater than an expected quality threshold, automatically communicating, via the processing circuitry, an alert corresponding to the deviation.

A non-transitory computer-readable storage medium storing computer-readable instructions thereon which, when executed by a computer, cause the computer to perform a method, the method comprising:

• receiving historical parts statistics corresponding to a failure of parts used in a vehicle assembly;
• receiving vehicle sensor statistics corresponding to a failure of parts of post manufactured vehicles;
• receiving historical assembly line statistics corresponding to a failure of assembly of parts during the vehicle assembly;
• generating a profile for one or more parts used in the vehicle assembly;
• receiving an analysis of each of the one or more parts of the assembled vehicle;
• determining whether any of the one or more analyzed parts deviate from the profile generated for that part;
• and
• in response to a determination that any of the one or more analyzed parts deviate from the profile generated for that part by greater than an expected quality threshold, automatically communicating an alert corresponding to the deviation.