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.

Faculty Supervisor:

Andrew Hamilton-Wright

Student:

Partner:

Linamar Innovation Hub Inc.

Discipline:

Computer science

Sector:

Manufacturing

University:

University of Guelph

Program:

Business Strategy Internship

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