Supporting machine vision system design for quality control in manufacturing

An automotive case study

Master thesis (2024)

Authors

L.W. van Keulen Mechanical Engineering

Contributors

A. Napoleone Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (mentor)
R. Leite Patrão Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (mentor)
A. Andersson (mentor)
Y. Jacquet (mentor)
B. Atasoy Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (graduation committee member)
R. Sabzevari Group Sabzevari (graduation committee member)
Faculty
Mechanical Engineering
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Published Date

11-12-2024

Language

English

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Faculty

Mechanical Engineering

Abstract

Quality control is considered an important process in manufacturing to minimise waste related to the manufacturing process. A way of performing quality control is with help of machine vision. Understanding all decisions that are to be made when designing a machine vision system for quality control is essential, but challenging. This research presents a method that aids decision-makers in the process of designing these machine vision systems for quality control so the efficiency of the decision-making process can be increased. The method results in a knowledge base and a tool that can both be considered as useful to decision-makers. The method was designed by following a Design Science Research approach and the method was applied on a use case in the automotive industry to prove that it addresses its goal.

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