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      University of Skövde, link to startpage

      Masood Fathi

      Associate Professor of Production Engineering
      School of Engineering Science
      Room PA210B

      Research

      2024

      Ehsan Mahmoodi, Masood Fathi, Madjid Tavana, Morteza Ghobakhloo, Amos H. C. Ng

      Journal of manufacturing systems

      2024. Article. https://doi.org/10.1016/j.jmsy.2023.11.019 Open Access

      Amir Nourmohammadi, Masood Fathi, Amos H. C. Ng

      Computers & industrial engineering

      2024. Article. https://doi.org/10.1016/j.cie.2023.109775 Open Access

      2023

      Mohammad Ali Beheshtinia, Masood Fathi

      Energy Science & Engineering

      2023. Article. https://doi.org/10.1002/ese3.1337 Open Access

      Mohammad Ali Beheshtinia, Ali Jozi, Masood Fathi

      Applied Mathematics in Science and Engineering

      2023. Article. https://doi.org/10.1080/27690911.2023.2252980 Open Access

      Mohammad Ali Beheshtinia, Fatima Sedady, Masood Fathi, Morteza Ghobakhloo, Mohammad Iranmanesh

      IEEE Access

      2023. Article. https://doi.org/10.1109/access.2023.3307358 Open Access

      Hossein Jabbari Khamnei, Sajad Nikannia, Masood Fathi, Shahryar Ghorbani

      Mathematical Biosciences and Engineering

      2023. Article. https://doi.org/10.3934/mbe.2023587 Open Access

      Ongoing 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 - August 2025 Virtual Engineering

      Digitalized 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 Virtual Engineering

      Finished projects

      Integrated platform for future manufacturing

      Future manufacturing will be characterized by the complementarity between humans and automation, especially regarding the production of highly customizable products.

      January 2017 - December 2020 Virtual Engineering
      Published: 1/9/2020
      Edited: 1/9/2020
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