Pathway to comparative data analytics

Linamar uses sensors and gauges to monitor machine performance in factories across the world. However, the infrastructure to fully exploit such data to improve productivity and performance is currently limited as there is no integrated environment available to uniformly collect, manipulate and analyze the data. The primary objective of this project is to create an environment for Linamar and future interns to build and test tools that address key operations related to benchmarking, sustainability, influence, and comparison. With these endpoints in mind, the intern will work in concert with LMMS to 1. Build the development environment and establish data parameters to be collected from machine sensors and gauges; 2. Develop insightful visualizations of the data to establish benchmark data; and 3. Provide guidance on potential insights data could provide as well as limitations, and lay the groundwork for building advanced but practical analytical tools that create value to Linamar.

Faculty Supervisor:

Ayesha Ali

Student:

Partner:

Linamar Innovation Hub Inc.

Discipline:

Mathematics

Sector:

Manufacturing

University:

University of Guelph

Program: