Utilizing automated inspection to identify surface quality defects within the automotive body assembly process

Nissan relies on inspectors to perform manual inspections in order to ensure vehicles are produced with a high-quality surface finish. These inspections occur throughout the vehicle assembly process and are meant to identify surface quality defects as well as determine at which major step in the vehicle assembly process the defect originated. An issue of uncertainty arises because inspectors routinely identify defects on completed vehicles and then deem the Body Assembly Shop, an upstream process, as responsible for creating the defect. However, inspectors in the Body Assembly Shop have already evaluated the vehicle and guaranteed it to be defect free. This indicates that inspectors in the Body Assembly Shop are failing to identify defects or inspectors at the end of the process are misidentifying the vehicle assembly process in which the defect originated.

Name thesis:degree_name

Master

Department dc:contributor.department

Sloan School of Management

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Danner, Kyle Ricardo.

Advisor dc:contributor.advisor

• Steven Spear and Jung-Hoon Chun.

• Sloan School of Management.
• Mechanical Engineering.
• Leaders for Global Operations Program.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/126951

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/126951