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      University of Skövde, link to startpage
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      2. About us

      Masood Fathi

      Associate Professor of Production Engineering
      School of Engineering Science
      Room PA210B
      e-mail masood.fathi@his.se
      Phone 0500-448575

      Research

      2023

      Energy‐efficient and sustainable supply chain in the manufacturing industry

      Mohammad Ali Beheshtinia, Masood Fathi

      Energy Science & Engineering

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

      2022

      Industry 4.0 and SME Development: The Case of a Middle Eastern Country

      Morteza Ghobakhloo, Masood Fathi, Parisa Maroufkhani

      Industry 4.0 in SMEs Across the Globe: Drivers, Barriers, and Opportunities

      2022. Chapter in book. https://doi.org/10.1201/9781003165880-14

      Parameter Estimation of the Exponentiated Pareto Distribution Using Ranked Set Sampling and Simple Random Sampling

      Hossein Jabbari Khamnei, Ieva Meidute-Kavaliauskiene, Masood Fathi, Asta Valackienė, Shahryar Ghorbani

      Axioms

      2022. Article. https://doi.org/10.3390/axioms11060293 Open Access

      A comprehensive analysis of the 21st century's research trends in English Mobile Learning: a bibliographic review of the literature

      Rouhollah Khodabandelou, Masood Fathi, Mohammad Amerian, Mohammad Reza Fakhraie

      The international journal of information and learning technology

      2022. Article, review. https://doi.org/10.1108/ijilt-07-2021-0099

      The impact of Industry 4.0 on bottleneck analysis in production and manufacturing: Current trends and future perspectives

      Ehsan Mahmoodi, Masood Fathi, Morteza Ghobakhloo

      Computers & industrial engineering

      2022. Article, review. https://doi.org/10.1016/j.cie.2022.108801 Open Access

      Strategic supplier selection for renewable energy supply chain under green capabilities (fuzzy BWM-WASPAS-COPRAS approach)

      Behzad Masoomi, Iman Ghasemian Sahebi, Masood Fathi, Figen Yıldırım, Shahryar Ghorbani

      Energy Strategy Reviews

      2022. Article. https://doi.org/10.1016/j.esr.2022.100815 Open Access

      The Application of Industry 4.0 Technological Constituents forSustainable Manufacturing: A Content-Centric Review

      Tan Ching Ng, Sie Yee Lau, Morteza Ghobakhloo, Masood Fathi, Meng Suan Liang

      Sustainability

      2022. Article, review. https://doi.org/10.3390/su14074327 Open Access

      Balancing and scheduling assembly lines with human-robot collaboration tasks

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

      Computers & Operations Research

      2022. Article. https://doi.org/10.1016/j.cor.2021.105674 Open Access

      A genetic algorithm for heterogenous human-robot collaboration assembly line balancing problems

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

      Procedia CIRP

      2022. Article. https://doi.org/10.1016/j.procir.2022.05.172 Open Access

      2021

      Optimizing reconfigurable manufacturing systems: A Simulation-based Multi-objective Optimization approach

      Carlos Alberto Barrera Diaz, Masood Fathi, Tehseen Aslam, Amos H. C. Ng

      Procedia CIRP

      2021. Article. https://doi.org/10.1016/j.procir.2021.11.310 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

      OPTION

      June 2018 - May 2020 Virtual Engineering

      Finished projects

      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

      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

      Enterprise modeling

      The Erasmus+ project OMI (Open Model Initiative) has the goal to create teaching material and an modeling environment for enterprise modeling to be used for master and PhD education in Europe.

      January 2015 - December 2017 Informatics

      Facility Layout Design with Simulation-based Optimization: a Framework for Process, Flow, and Layout Optimization

      In nowadays manufacturing industries there is usually a lack of knowledge in decision makers and stakeholders to optimize production and logistics flows considering the shop floor layout. Decision support system through Simulation-Based Multi-Objective Optimization can be a significant approach for production and logistics system improvement. The main benefits are optimized solutions with an increased efficiency of the production, internal logistics and required space on the shop floor layout. Usually at a lower cost than consultancy companies, obtaining just the best optimal solutions and with the possibility of analyzing them without interrupting the system. The application of research with Simulation-based Optimization in manufacturing leads to significant improvements of complex systems as demonstrated in major manufacturing companies working together with universities and research centers.

      October 2015 - October 2020 School of engineering
      Published: 1/9/2020
      Edited: 1/9/2020
      Responsible: webmaster@his.se