Masood Fathi
Associate Professor of Production Engineering
School of Engineering Science
Room PA210B
Phone 0500-448575
Not available
Research
Publications
Projects
2025
Health Services Insights
2025. Article.
https://doi.org/10.1177/11786329251331311
Management of environmental quality
2025. Article. https://doi.org/10.1108/MEQ-09-2024-0368
Cleaner Environmental Systems
2025. Article.
https://doi.org/10.1016/j.cesys.2025.100314
Computers & industrial engineering
2025. Article.
https://doi.org/10.1016/j.cie.2025.110913
Journal of Industrial and Production Engineering
2025. Article. https://doi.org/10.1080/21681015.2024.2435847
Service Industries Journal
2025. Article. https://doi.org/10.1080/02642069.2025.2485983
International Journal of Production Research
2025. Article, review.
https://doi.org/10.1080/00207543.2025.2559137
Journal of Manufacturing Technology Management
2025. Article.
https://doi.org/10.1108/jmtm-08-2025-0789
Asia-Pacific Journal of Business Administration
2025. Article, review.
https://doi.org/10.1108/APJBA-08-2023-0384
Procedia CIRP
2025. Article.
https://doi.org/10.1016/j.procir.2025.02.162
2024
2023
2022
2021
2020
2019
2018
Ongoing projects
Future-Proof Factories: The SMART Way to Resilient Production
How can factories keep running when energy prices rise, machines break down, or labour conditions change suddenly? The SMART project explores this question by redefining how manufacturing works in Sweden. Its focus is on creating systems that are not only stronger and more adaptable but also environmentally responsible and centred around people.
December 2025 - November 2029 67951Next-Generation Factories: The AI Way to Sustainable Production
How can manufacturing companies stay productive while reducing their carbon footprint and adapting to volatile energy markets? The AI-COMPETE project takes on this challenge by developing an AI-powered decision support system for sustainable manufacturing.
September 2025 - August 2028 67951How Artificial Intelligence can improve metal casting manufacturing process in practice
The AI-CAST project aims to develop new methods for using artificial intelligence to monitor and optimise high-pressure die casting of magnesium alloys in real time. The goal is to create a more reliable and sustainable manufacturing process through smart data analysis and machine learning.
July 2025 - June 2028 67951Finished projects
Industry 4.0 and Agile Manufacturing
Manufacturing industries are constantly challenged by the market to improve product quality, increase production efficiency, ensure safety, and enhance sustainability. In this project, the team will be analyzing the interactions between digital systems and the physical world to see: Is it possible, with the target users’ satisfaction and safety in focus, to integrate optimization-enabled Digital Twins with Augmented Reality and other advanced sensing technologies to drive manufacturing companies toward a more agile configuration and operation in the industry 4.0 era?
September 2021 - December 2025 67951Digitalized and optimized production planning for energy-efficient production
Optimal production planning is one of the most time-consuming and challenging tasks for many production experts, especially in diverse manufacturing environments where humans, robots, and machines work independently or collaboratively. Therefore, in this Industry 4.0 era, it is crucial to equip manufacturers with a digital decision support tool to plan their production efficiently. This project aims to develop an optimization tool to assist production planners in determining the optimal production sequence and assigning tasks and resources to workstations.
May 2022 - April 2025 67951