A Big Data Analysis Framework for MBFC Manufacturing

The Mercedes-Benz Fuel Cell Division (MBFC) in Burnaby, Canada develops and runs the manufacturing processes required for the assembly of Fuel Cell Stacks prototypes. MBFC uses the Manufacturing Execution System (MES) to collect and analyse data from the manufacturing lines to the database system. However, because the size of the collected data is very large, MBFC is not able to detect certain fuel cell defects in a timely manner and sometimes not at all. This Mitacs project aims to develop and evaluate a big data mechanism that improves the predictive power and reduces the time taken to search MBFCs data and detect failures in the manufacturing process in a real-time fashion.

Faculty Supervisor:

Irfan Al-Anbagi

Student:

Mahsa Azizi

Partner:

Mercedes-Benz Fuel Cell

Discipline:

Computer science

Sector:

Energy

University:

Program: