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Virtual Reality-Based Engineering Education to Enhance Manufacturing Sustainability in Industry 4.0

Author

Listed:
  • Bashir Salah

    (Industrial Engineering Department, College of Engineering, King Saud University, Riyadh-11421, Saudi Arabia)

  • Mustufa Haider Abidi

    (Advanced Manufacturing Institute, King Saud University, Riyadh-11421, Saudi Arabia)

  • Syed Hammad Mian

    (Advanced Manufacturing Institute, King Saud University, Riyadh-11421, Saudi Arabia)

  • Mohammed Krid

    (Industrial Engineering Department, College of Engineering, King Saud University, Riyadh-11421, Saudi Arabia)

  • Hisham Alkhalefah

    (Advanced Manufacturing Institute, King Saud University, Riyadh-11421, Saudi Arabia)

  • Ali Abdo

    (Electrical and Computer Engineering Department, Birzeit University, Birzeit-PO Box 14, Palestine)

Abstract

Many advanced product manufacturing approaches have been introduced in the market in recent years. Thus, it is critical to develop modern techniques which can effectively familiarize budding minds with the latest manufacturing procedures. In fact, the contemporary training methods and advanced education practices are crucial to uphold the interest of the new generation as well as to equip them with state-of the art systems. There is a need for innovative ideas and effective methodologies to inculcate the desired competency and prepare students for prospective manufacturing set ups. In the latest Industry 4.0 paradigm, visualization technologies, especially virtual reality, have been emphasized to sustainably train and educate young students. This work presents a technique for utilizing the leading visualization method based on virtual reality in product manufacturing. It aims to acquaint students with the prominent concept of Industry 4.0, the reconfigurable manufacturing system (RMS). The RMS has been a demanding topic for the novice and, most often, amateurs are not able to grasp and interpret it. Therefore, this paper outlines the various steps that can be useful for students in order to anticipate the RMS design, interact with it, understand its operation, and evaluate its performance.

Suggested Citation

  • Bashir Salah & Mustufa Haider Abidi & Syed Hammad Mian & Mohammed Krid & Hisham Alkhalefah & Ali Abdo, 2019. "Virtual Reality-Based Engineering Education to Enhance Manufacturing Sustainability in Industry 4.0," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1477-:d:212644
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    References listed on IDEAS

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    1. Calle, Marcos & González-R, Pedro L. & Leon, Jose M. & Pierreval, Henri & Canca, David, 2016. "Integrated management of inventory and production systems based on floating decoupling point and real-time information: A simulation based analysis," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 48-57.
    2. Amro M. Farid, 2017. "Measures of reconfigurability and its key characteristics in intelligent manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 28(2), pages 353-369, February.
    3. Yoram Koren & Wencai Wang & Xi Gu, 2017. "Value creation through design for scalability of reconfigurable manufacturing systems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(5), pages 1227-1242, March.
    4. Katarína Stachová & Ján Papula & Zdenko Stacho & Lucia Kohnová, 2019. "External Partnerships in Employee Education and Development as the Key to Facing Industry 4.0 Challenges," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
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    Cited by:

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    2. Aldona Urbanek & Kinga Stecuła & Krzysztof Kaźmierczak & Szymon Łagosz & Wojtek Kwoczak & Artur Dyczko, 2025. "Towards Sustainable Health and Safety in Mining: Evaluating the Psychophysical Impact of VR-Based Training," Sustainability, MDPI, vol. 17(13), pages 1-21, July.
    3. Andrzej Paszkiewicz & Mateusz Salach & Paweł Dymora & Marek Bolanowski & Grzegorz Budzik & Przemysław Kubiak, 2021. "Methodology of Implementing Virtual Reality in Education for Industry 4.0," Sustainability, MDPI, vol. 13(9), pages 1-25, April.
    4. Jihyung Kim & Kyeong-sun Kim & Jonghyeon Ka & Wooksung Kim, 2023. "Teaching Methodology for Understanding Virtual Reality and Application Development in Engineering Major," Sustainability, MDPI, vol. 15(3), pages 1-22, February.
    5. Bernard Bińczycki & Sławomir Dorocki, 2022. "Industry 4.0: A Chance or a Threat for Gen Z? The Perspective of Economics Students," Sustainability, MDPI, vol. 14(14), pages 1-13, July.
    6. Athar Ajaz Khan & János Abonyi, 2022. "Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy," Sustainability, MDPI, vol. 14(15), pages 1-40, August.
    7. Sorooshian, Shahryar, 2024. "Enhanced methodology to assess business research community serving extended realities movement," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    8. Shuting Wang & Jie Meng & Yuanlong Xie & Liquan Jiang & Han Ding & Xinyu Shao, 2023. "Reference training system for intelligent manufacturing talent education: platform construction and curriculum development," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1125-1164, March.
    9. Srivastava, Deepak Kumar & Kumar, Vikas & Ekren, Banu Yetkin & Upadhyay, Arvind & Tyagi, Mrinal & Kumari, Archana, 2022. "Adopting Industry 4.0 by leveraging organisational factors," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    10. Macaria Hernández-Chávez & José M. Cortés-Caballero & Ángel A. Pérez-Martínez & Luis F. Hernández-Quintanar & Karen Roa-Tort & Josué D. Rivera-Fernández & Diego A. Fabila-Bustos, 2021. "Development of Virtual Reality Automotive Lab for Training in Engineering Students," Sustainability, MDPI, vol. 13(17), pages 1-17, August.
    11. Guillermo Fuertes & Jorge Zamorano & Miguel Alfaro & Manuel Vargas & Jorge Sabattin & Claudia Duran & Rodrigo Ternero & Ricardo Rivera, 2022. "Opportunities of the Technological Trends Linked to Industry 4.0 for Achieve Sustainable Manufacturing Objectives," Sustainability, MDPI, vol. 14(18), pages 1-36, September.
    12. Nagarajan Harikannan & Sekar Vinodh, 2025. "State of art review on sustainable manufacturing and Industry 4.0," Business Strategy and the Environment, Wiley Blackwell, vol. 34(1), pages 872-913, January.
    13. Caiado, Rodrigo Goyannes Gusmão & Machado, Eduardo & Santos, Renan Silva & Thomé, Antonio Márcio Tavares & Scavarda, Luiz Felipe, 2024. "Sustainable I4.0 integration and transition to I5.0 in traditional and digital technological organisations," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    14. Marcelo Royo-Vela & Grzegorz Leszczyński & Mariell Velasquez-Serrano, 2022. "Sustainable Value Co-Production and Co-Creation in Virtual Reality: An Exploratory Research on Business-to-Business Interactions," Sustainability, MDPI, vol. 14(13), pages 1-16, June.

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