Forecasting tool exchange times in the Muratec MW200 Lathe using Machine Learning
This project will focus on the design, creation and validation of a model to forecast replacement requirements within the Muratec MW200 lathes.
The overall project objective is to produce a model defining the relationship between machine state and upcoming maintenance needs. The primary focus is a turning machine (automated lathe) that has a selection of cutting tools mounted on a turret turntable. Different tools are used for different cutting tasks, and each tool has a specific durability and life span.
Voir la description complète du projetAndrew Hamilton-Wright
Linamar Innovation Hub Inc.
Computer science
Manufacturing
University of Guelph
Business Strategy Internship
