Improving the performance of manufacturing processes at GE Bromont by using artificial intelligence and pattern recognition

The products manufactured at GE Bromont go through a series of processes that produce the specific characteristics of each product according to required specifications. The number of these characteristics is very large, and several characteristics are dependent on the others. This reality makes the use of traditional statistical techniques for quality control of products laborious and possibly ineffective.
The objective of this research is to improve the performance of manufacturing processes at GE Bromont to increase the number of final products that meet specifications without having to go through non-value-added steps, and to reduce the number of products’ rejects or rework.

Faculty Supervisor:

Soumaya Yacout

Student:

Partner:

GEC Aviation inc

Discipline:

Engineering

Sector:

Manufacturing and Construction; Artificial Intelligence; Advanced Manufacturing

University:

Polytechnique Montréal

Program: