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Multi-Criterial Algorithm for the Efficient and Ergonomic Manual Assembly Process

Author

Listed:
  • Maja Turk

    (Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva Cesta 6, 1000 Ljubljana, Slovenia)

  • Marko Šimic

    (Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva Cesta 6, 1000 Ljubljana, Slovenia)

  • Miha Pipan

    (Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva Cesta 6, 1000 Ljubljana, Slovenia)

  • Niko Herakovič

    (Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva Cesta 6, 1000 Ljubljana, Slovenia)

Abstract

Industry 4.0 introduces smart solutions throughout the company’s supply chain, including manual assembly, where the goal is to ensure shorter work cycle time, increase productivity and quality, while minimizing costs. Following the principles of this paradigm, this paper proposes a digital transformation of the manual assembly process by implementing a multi-criterial algorithm (MCA) for adjusting and configuring a human-centered smart manual assembly workstation to ensure efficient and ergonomic performance of the manual assembly process. The MCA takes into account various influential parameters, such as the anthropometry of the individual worker, gender, complexity of the assembly process, product characteristics, and product structure. The efficiency of the MCA was verified both in the laboratory environment with the time analysis and in the virtual environment using Digital Human Modelling through several ergonomic analyses. The results of the implementation of the MCA on a manual assembly workstation support the digital (re)design of the manual assembly process with the aim of creating an efficient and ergonomically suitable workstation for each worker, thus increasing the productivity and efficiency of the human-centered manual assembly process.

Suggested Citation

  • Maja Turk & Marko Šimic & Miha Pipan & Niko Herakovič, 2022. "Multi-Criterial Algorithm for the Efficient and Ergonomic Manual Assembly Process," IJERPH, MDPI, vol. 19(6), pages 1-17, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3496-:d:772017
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    References listed on IDEAS

    as
    1. Mohsen Attaran & Sharmin Attaran & Diane Kirkland, 2019. "The Need for Digital Workplace: Increasing Workforce Productivity in the Information Age," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 15(1), pages 1-23, January.
    2. Steven Hoedt & Arno Claeys & Hendrik Van Landeghem & Johannes Cottyn, 2017. "The evaluation of an elementary virtual training system for manual assembly," International Journal of Production Research, Taylor & Francis Journals, vol. 55(24), pages 7496-7508, December.
    3. Mingzhou Liu & Jing Ma & Ling Lin & Maogen Ge & Qiang Wang & Conghu Liu, 2017. "Intelligent assembly system for mechanical products and key technology based on internet of things," Journal of Intelligent Manufacturing, Springer, vol. 28(2), pages 271-299, February.
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    Cited by:

    1. Agnieszka A. Tubis & Katarzyna Grzybowska & Bartosz Król, 2023. "Supply Chain in the Digital Age: A Scientometric–Thematic Literature Review," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    2. Arpad Gellert & Stefan-Alexandru Precup & Alexandru Matei & Bogdan-Constantin Pirvu & Constantin-Bala Zamfirescu, 2022. "Real-Time Assembly Support System with Hidden Markov Model and Hybrid Extensions," Mathematics, MDPI, vol. 10(15), pages 1-21, August.
    3. Sarah Maggioli & Liliana Cunha, 2023. "A Systematic Review Discussing the Sustainability of Men and Women’s Work in Industry 4.0: Are Technologies Gender-Neutral?," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    4. Patricia Tegtmeier & Corinna Weber & Sabine Sommer & Anita Tisch & Sascha Wischniewski, 2022. "Criteria and Guidelines for Human-Centered Work Design in a Digitally Transformed World of Work: Findings from a Formal Consensus Process," IJERPH, MDPI, vol. 19(23), pages 1-31, November.

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