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.
Doctoral student Rakshanda Jabeen Supervisor Morgan Ericsson Assistant supervisors Jonas Nordqvist Participating organizations Linnaeus University, Electrolux Professional Financier Electrolux Professional, The Knowledge Foundation (KK-stiftelsen ) Timetable September 2021–september 2025 Subject 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.