IDEAS home Printed from https://ideas.repec.org/a/spr/flsman/v35y2023i4d10.1007_s10696-022-09474-7.html
   My bibliography  Save this article

Decision modeling of the challenges to human–robot collaboration in industrial environment: a real world example of an emerging economy

Author

Listed:
  • Koppiahraj Karuppiah

    (SIMATS, Tamil Nadu)

  • Bathrinath Sankaranarayanan

    (Kalasalingam Academy of Research and Education, Tamil Nadu)

  • Syed Mithun Ali

    (Bangladesh University of Engineering and Technology)

  • R. K. A. Bhalaji

    (Francis Xavier Engineering College)

Abstract

The purpose of this paper is to develop a framework to identify and evaluate the challenges in the establishment of human–robot collaboration (HRC) in the industrial environment. Based on a semi systematic literature review, twenty challenges in the establishment of HRC in the industrial environment have been identified and evaluated in a real-world industrial environment. To evaluate the challenges, an integrated multi-criteria decision-making technique consisting of analytic hierarchy process (AHP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) in the Fermatean fuzzy system (FFS) context is used. Outcome of FFS-AHP indicates task planning, and task allocation, initial cost of investment, lack of reliability, energy consumption, and safety interaction as the top five challenges in establishing HRC industrial environment. FFS-DEMATEL categorizes the initial cost of investment, energy consumption, lack of reliability, safety interaction, task planning and task allocation, level of automation, and workplace design into cause group while the remaining thirteen challenges comes under effect group. Also, these seven challenges come under decisive category while thirteen challenges come under independent category. This study not only focuses on the challenges in the HRC in the industrial environment but also sheds light on the importance of the transition towards I4.0. The findings of the study help industrial management in taking precautionary actions to overcome the challenges in the establishment of HRC in the industrial environment. To the best of the authors’ knowledge, this study is one of few initial attempts that address a decision modelling framework to evaluate the challenges to HRC.

Suggested Citation

  • Koppiahraj Karuppiah & Bathrinath Sankaranarayanan & Syed Mithun Ali & R. K. A. Bhalaji, 2023. "Decision modeling of the challenges to human–robot collaboration in industrial environment: a real world example of an emerging economy," Flexible Services and Manufacturing Journal, Springer, vol. 35(4), pages 1007-1037, December.
  • Handle: RePEc:spr:flsman:v:35:y:2023:i:4:d:10.1007_s10696-022-09474-7
    DOI: 10.1007/s10696-022-09474-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10696-022-09474-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10696-022-09474-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ercan Oztemel & Samet Gursev, 2020. "Literature review of Industry 4.0 and related technologies," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 127-182, January.
    2. Yesim Deniz Ozkan-Ozen & Yigit Kazancoglu, 2021. "Analysing workforce development challenges in the Industry 4.0," International Journal of Manpower, Emerald Group Publishing Limited, vol. 43(2), pages 310-333, May.
    Full references (including those not matched with items on IDEAS)

    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. Mingxing Li & Ray Y. Zhong & Ting Qu & George Q. Huang, 2022. "Spatial–temporal out-of-order execution for advanced planning and scheduling in cyber-physical factories," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1355-1372, June.
    2. Ganesh Narkhede & Vishwas Dohale & Yash Mahajan, 2024. "Darker side of industry 4.0 and its impact on triple‐bottom‐line sustainability," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(6), pages 5999-6016, December.
    3. Beatriz M. Paredes-Sánchez & José P. Paredes-Sánchez & Paulino J. García-Nieto, 2020. "Energy Multiphase Model for Biocoal Conversion Systems by Means of a Nodal Network," Energies, MDPI, vol. 13(11), pages 1-13, May.
    4. Govindan, Kannan & Kannan, Devika & Jørgensen, Thomas Ballegård & Nielsen, Tim Straarup, 2022. "Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    5. Tiago Afonso & Anabela C. Alves & Paula Carneiro, 2021. "Lean Thinking, Logistic and Ergonomics: Synergetic Triad to Prepare Shop Floor Work Systems to Face Pandemic Situations," International Journal of Global Business and Competitiveness, Springer, vol. 16(1), pages 62-76, December.
    6. 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.
    7. Yu Sun & Ling Li & Hui Shi & Dazhi Chong, 2020. "The transformation and upgrade of China's manufacturing industry in Industry 4.0 era," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 734-740, July.
    8. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2025. "Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 61-93, January.
    9. Adamik Anna & Ghinea Valentina Mihaela & Ghinea Mihalache & Nowicki Michał, 2022. "Mapping the maturity of SMART WORLD trends as a tool for developing business excellence and reducing organizational complexity," Management & Marketing, Sciendo, vol. 17(2), pages 193-219, June.
    10. Xiaoyu Zhan & Delia Mioara Popescu & Valentin Radu, 2020. "Challenges for Romanian Entrepreneurs in Managing Remote Workers," Book chapters-LUMEN Proceedings, in: Marcin Waldemar STANIEWSKI & Valentina VASILE & Adriana Grigorescu (ed.), International Conference Innovative Business Management & Global Entrepreneurship (IBMAGE 2020), edition 1, volume 14, chapter 49, pages 670-687, Editura Lumen.
    11. Christoph March & Ina Schieferdecker, 2021. "Technological Sovereignty as Ability, Not Autarky," CESifo Working Paper Series 9139, CESifo.
    12. Asad Ur Rehman Bajwa & Chandana Siriwardana & Wajiha Shahzad & Muhammad Ahmad Naeem, 2025. "Material selection in the construction industry: a systematic literature review on multi-criteria decision making," Environment Systems and Decisions, Springer, vol. 45(1), pages 1-22, March.
    13. Alok Raj & Anand Jeyaraj, 2023. "Antecedents and consequents of industry 4.0 adoption using technology, organization and environment (TOE) framework: A meta-analysis," Annals of Operations Research, Springer, vol. 322(1), pages 101-124, March.
    14. Rui Wang & Xiangyu Guo & Shisheng Zhong & Gaolei Peng & Lin Wang, 2022. "Decision rule mining for machining method chains based on rough set theory," Journal of Intelligent Manufacturing, Springer, vol. 33(3), pages 799-807, March.
    15. Jyoti Ranjan Jena & Saroj Kanta Biswal & Avinash K. Shrivastava & Rashmi Ranjan Panigrahi, 2023. "A bibliographic overview of financial engineering in the emerging financial market," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(6), pages 2048-2065, December.
    16. Reiman, Arto & Kaivo-oja, Jari & Parviainen, Elina & Takala, Esa-Pekka & Lauraeus, Theresa, 2021. "Human factors and ergonomics in manufacturing in the industry 4.0 context – A scoping review," Technology in Society, Elsevier, vol. 65(C).
    17. Parames Chutima, 2022. "A comprehensive review of robotic assembly line balancing problem," Journal of Intelligent Manufacturing, Springer, vol. 33(1), pages 1-34, January.
    18. Chen, Ke & Li, Qiyuan & Shoaib, Muhammad & Ameer, Waqar & Jiang, Tao, 2024. "Does improved digital governance in government promote natural resource management? Quasi-natural experiments based on smart city pilots," Resources Policy, Elsevier, vol. 90(C).
    19. Esther Calderon-Monge & Domingo Ribeiro-Soriano, 2024. "The role of digitalization in business and management: a systematic literature review," Review of Managerial Science, Springer, vol. 18(2), pages 449-491, February.
    20. Danil Yu Pimenov & Andres Bustillo & Szymon Wojciechowski & Vishal S. Sharma & Munish K. Gupta & Mustafa Kuntoğlu, 2023. "Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2079-2121, June.

    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:spr:flsman:v:35:y:2023:i:4:d:10.1007_s10696-022-09474-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.