IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i6p3496-d772017.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/6/3496/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/6/3496/
    Download Restriction: no
    ---><---

    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. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kayla Walling, 2023. "Relocated Employees’ Experience with the Costs and Benefits of Video Technology for Maintaining Relationships," Social Sciences, MDPI, vol. 12(5), pages 1-14, May.
    2. Osterrieder, Philipp & Budde, Lukas & Friedli, Thomas, 2020. "The smart factory as a key construct of industry 4.0: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 221(C).
    3. Mićić Ljubiša & Mastilo Zoran, 2022. "Digital Workplace Transformation: Innovative Approach After Covid-19 Pandemic," Economics, Sciendo, vol. 10(2), pages 63-76, December.
    4. Yafeng Han & Tetiana Shevchenko & Bernard Yannou & Meisam Ranjbari & Zahra Shams Esfandabadi & Michael Saidani & Ghada Bouillass & Kseniia Bliumska-Danko & Guohou Li, 2023. "Exploring How Digital Technologies Enable a Circular Economy of Products," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
    5. D.-Y. Kim & J.-W. Park & S. Baek & K.-B. Park & H.-R. Kim & J.-I. Park & H.-S. Kim & B.-B. Kim & H.-Y. Oh & K. Namgung & W. Baek, 2020. "A modular factory testbed for the rapid reconfiguration of manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 661-680, March.
    6. Zhi Li & Ali Vatankhah Barenji & Jiazhi Jiang & Ray Y. Zhong & Gangyan Xu, 2020. "A mechanism for scheduling multi robot intelligent warehouse system face with dynamic demand," Journal of Intelligent Manufacturing, Springer, vol. 31(2), pages 469-480, February.
    7. Reyhaneh Bijaniaram & Maryam Tehrani & Roohallah Noori & Jongwook Pak, 2024. "What Does It Take for Organizations to Adopt Massive Open Online Courses (MOOCs)? A Fuzzy DANP Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1499-1534, March.
    8. Daniel F. Ofori & Emefa Ansah & Majoreen Osafroadu Amankwah, 2021. "Family Responsive Policies and Employee Turnover Intentions, the Mediating Role of Work Stress: Perspectives from a Developing Country," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 392-410.
    9. Sheikh Muhamad Hizam & Habiba Akter & Ilham Sentosa & Waqas Ahmed & Mohamad Noorman Masrek & Jawad Ali, 2023. "Predicting Workforce Engagement towards Digital Transformation through a Multi-Analytical Approach," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    10. Banafo Akrong, Godwin & Yunfei, Shao & Owusu, Ebenezer, 2022. "Development and validation of an improved DeLone-McLean IS success model - application to the evaluation of a tax administration ERP," International Journal of Accounting Information Systems, Elsevier, vol. 47(C).
    11. Wei Fang & Lianyu Zheng, 2020. "Shop floor data-driven spatial–temporal verification for manual assembly planning," Journal of Intelligent Manufacturing, Springer, vol. 31(4), pages 1003-1018, April.
    12. Sarfraz Zaman & Farrukh Abbas & Sumbal Parveen, 2021. "Factors Affecting The Use Of E-Learning Library Services During Covid 19: The Study Of Business Management Students," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 10(3), pages 226-238, September.
    13. Saiful Kallang & Siska Noviaristanti, 2024. "Analysis of the Effect Adoption Digital Technology on Workplace Digitalisation Transformation at PT Indosat Ooredoo Hutchison," International Journal of Business and Management, Canadian Center of Science and Education, vol. 19(4), pages 1-16, July.
    14. Isabella Seeber & Johannes Erhardt, 2023. "Working from Home with Flexible and Permeable Boundaries," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(3), pages 277-292, June.
    15. Fernando E. Garcia-Muiña & Rocío González-Sánchez & Anna Maria Ferrari & Davide Settembre-Blundo, 2018. "The Paradigms of Industry 4.0 and Circular Economy as Enabling Drivers for the Competitiveness of Businesses and Territories: The Case of an Italian Ceramic Tiles Manufacturing Company," Social Sciences, MDPI, vol. 7(12), pages 1-31, December.
    16. Kung-Jeng Wang & Diwanda Ageng Rizqi & Hong-Phuc Nguyen, 2021. "Skill transfer support model based on deep learning," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1129-1146, April.
    17. Bilal S. A. Alhayani & Haci llhan, 2021. "RETRACTED ARTICLE: Visual sensor intelligent module based image transmission in industrial manufacturing for monitoring and manipulation problems," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 597-610, February.
    18. Cao, Peng & Sial, Muhammad Safdar & Ã lvarez-Otero, Susana & Brugni, Talles Vianna & Comite, Ubaldo, 2024. "Eco-engagement: Tracing CSR communication's ripple effect on consumer hospitality loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    19. Xiang T. R. Kong & Hao Luo & George Q. Huang & Xuan Yang, 2019. "Industrial wearable system: the human-centric empowering technology in Industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2853-2869, December.
    20. Seham Mansour Alyousef & Sami Abdulrahman Alhamidi, 2023. "Mental Health Nurses’ Perceptions of Providing Pharmaceutical Care in Saudi Arabia," SAGE Open, , vol. 13(4), pages 21582440231, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3496-:d:772017. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.