doctoral student in front of a washer and a dryer

Doctoral project: Big Data Exploitation for Insight into Electrolux Professional Products Lifecycle Management

This doctoral project aims to use Big Data to map the life cycle of professional products at Electrolux Professional and switch from a reactive to a proactive approach to product development, production, maintenance, and repair.

Project information

Doctoral student
Rakshanda Jabeen
Morgan Ericsson
Assistant supervisors
Jonas Nordqvist
Participating organizations
Linnaeus University, Electrolux Professional
Electrolux Professional, The Knowledge Foundation (KK-stiftelsen )
September 2021–september 2025
Computer and information science (Department of Computer Science and Media Technology, Faculty of Technology)

More about the project

Product Lifecycle Management (PLM) manages the entire lifecycle of a product from its birth through the engineering, design and manufacture, service, and disposal of the manufactured products in the industry. In the context of advanced manufacturing industries, the applications of AI technologies are emerging in the PLM.

This project aims to use Big Data and machine learning in the industrial product life cycle management and construct a sustainable experience for society. The current goal of the research is to use natural language processing (NLP) to automate the extraction of crucial information from free-text of service calls and on-field technician comments. For this purpose, we are analysing service calls and machine logs data. The long-term goal of the research is the predictive maintenance of professional washers and dryers.

The project is part of the industry graduate school Data Intensive Applications (DIA) and the research in the Data Intensive Software Technologies and Applications (DISTA) and Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) research groups.