Abstract
Industrial revolutions often seek to strengthen the separation of human and machine labor by going one step further, toward automation and digitalization, and the transfer of tough and dangerous occupations to robots. As it strives to include robots in people's daily activities and work, the introduction of concepts such as I5.0 is a step forward in enhancing human-machine interaction and provides some possibilities and challenges for firms. Therefore, this article mainly focuses on studying and concretely examining the challenges faced by businesses transitioning from I4.0 to I5.0 by providing case examples from the textile and apparel supply chain. After a detailed review of the current literature related to the I5.0 challenges, the I5.0 challenges were listed in general. Then, the fuzzy Decision-making trial and evaluation laboratory approach has adopted into the challenges to reveal causal interactions between them thus, prioritizing the substantial challenges to be focused on to influence the entire textile and apparel supply chain.
Similar content being viewed by others
References
Abdel-Basset, M., Manogaran, G., Gamal, A., & Smarandache, F. (2018). A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria. Design Automation for Embedded Systems, 22, 257–278.
Adel, A. (2022). Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas. Journal of Cloud Computing, 11(1). https://doi.org/10.1186/s13677-022-00314-5
Ahsan, K., & Rahman, S. (2017). Green public procurement implementation challenges in Australian public healthcare sector. Journal of Cleaner Production, 152, 181–197. https://doi.org/10.1016/j.jclepro.2017.03.055
Akundi, A., Euresti, D., Luna, S., Ankobiah, W., Lopes, A., & Edinbarough, I. (2022). State of Industry 5.0—Analysis and Identification of Current Research Trends. Applied System. Innovation, 5(1), 1–14. https://doi.org/10.3390/asi5010027
Aslam, F., Aimin, W., Li, M., & Rehman, K. U. (2020). Innovation in the era of IoT and industry 5.0: Absolute innovation management (AIM) framework. Information (Switzerland), 11(2). https://doi.org/10.3390/info11020124
Bedi, T., Rana, V., & Gautam, N. (2021). Changing Face Of The Apparel Industry By Incorporating Industry 4.0 And Paving Way For Industry 5.0. Turkish Online Journal of Qualitative Inquiry, 12(3).
Breque, M., De Nul, L., & Petridis, A. (2021). Industry 5.0: towards a sustainable, humancentric and resilient European industry.
Chiu, Y. J., Chen, H. C., Tzeng, G. H., & Shyu, J. Z. (2006). Marketing strategy based on customer behaviour for the LCD-TV. International journal of management and decision making, 7(2-3), 143–165.
Colombo, A. W., & Harrison, R. (2008). Modular and collaborative automation: Achieving manufacturing flexibility and reconfigurability. International Journal of Manufacturing Technology and Management, 14(3–4), 249–265. https://doi.org/10.1504/IJMTM.2008.017726
Da Xu, L., Xu, E. L., & Li, L. (2018). Industry 4.0: State of the art and future trends. International Journal of Production Research, 56(8), 2941–2962. https://doi.org/10.1080/00207543.2018.1444806
de Sousa, L., Jabbour, A. B., Jabbour, C. J. C., Godinho Filho, M., & Roubaud, D. (2018). Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations. Annals of Operations Research, 270(1–2), 273–286. https://doi.org/10.1007/s10479-018-2772-8
Demir, K. A., Döven, G., & Sezen, B. (2019). Industry 5.0 and Human-Robot Co-working. Procedia Computer Science, 158, 688–695. https://doi.org/10.1016/j.procs.2019.09.104
Ding, B. (2018). Pharma Industry 4.0: Literature review and research opportunities in sustainable pharmaceutical supply chains. Process Safety and Environmental Protection, 119, 115–130. https://doi.org/10.1016/j.psep.2018.06.031
Dwivedi, A., Agrawal, D., Jha, A., & Mathiyazhagan, K. (2023). Studying the interactions among Industry 5.0 and circular supply chain: Towards attaining sustainable development. Computers & Industrial Engineering, 176, 108927.
Faruqi, U. A. (2019). Future service in industry 5.0: survey paper. Jurnal Sistem Cerdas, 2(1), 67–79. https://doi.org/10.37396/jsc.v2i1.21
Fazal, N., Haleem, A., Bahl, S., Javaid, M., & Nandan, D. (2022). Digital management systems in manufacturing using industry 5.0 technologies. In Advancement in Materials, Manufacturing and Energy Engineering (pp. 221–234). Singapore: Springer Nature Singapore: Vol. II: Select Proceedings of ICAMME 2021.
Frederico, G. F. (2021). From supply chain 4.0 to supply chain 5.0: Findings from a systematic literature review and research directions. Logistics, 5(3), 49.
Ghobakhloo, M., Iranmanesh, M., Mubarak, M. F., Mubarik, M., Rejeb, A., & Nilashi, M. (2022). Identifying industry 5.0 contributions to sustainable development: A strategy roadmap for delivering sustainability values. Sustainable Production and Consumption, 33, 716–737. https://doi.org/10.1016/j.spc.2022.08.003
Gorodetsky, V., Larukchin, V., & Skobelev, P. (2020). Conceptual Model of Digital Platform for Enterprises of Industry 5.0. Intelligent Distributed Computing XIII (pp. 35–40). https://doi.org/10.1007/978-3-030-32258-8_4
Gupta, S., Drave, V. A., Bag, S., & Luo, Z. (2019). Leveraging smart supply chain and information system agility for supply chain flexibility. Information Systems Frontiers, 21, 547–564.
Gurbaxani, V., & Dunkle, D. (2019). Gearing up for successful digital transformation. MIS Quarterly. Executive, 18(3), 209–220. https://doi.org/10.17705/2msqe.00017
Hancock, P. A., Jagacinski, R. J., Parasuraman, R., Wickens, C. D., Wilson, G. F., & Kaber, D. B. (2013). Human-automation interaction research: Past, present, and future. Ergonomics in Design, 21(2), 9–14. https://doi.org/10.1177/1064804613477099
Hori, S., & Shimizu, Y. (1999). Designing methods of human interface for supervisory control systems. Control engineering practice, 7(11), 1413–1419.
Horváth, D., & Szabó, R. Z. (2019). Driving forces and barriers of Industry 4.0: Do multinational and small and medium-sized companies have equal opportunities? Technological Forecasting and Social Change, 146(May), 119–132. https://doi.org/10.1016/j.techfore.2019.05.021
Huang, S., Wang, B., Li, X., Zheng, P., Mourtzis, D., & Wang, L. (2022). Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution. Journal of Manufacturing Systems, 64(July), 424–428. https://doi.org/10.1016/j.jmsy.2022.07.010
Javaid, M., & Haleem, A. (2020). Critical components of industry 5.0 towards a successful adoption in the field of manufacturing. Journal of Industrial Integration and Management, 5(3), 327–348. https://doi.org/10.1142/S2424862220500141
Javaid, M., Haleem, A., Singh, R. P., Ul Haq, M. I., Raina, A., & Suman, R. (2020). Industry 5.0: Potential applications in covid-19. Journal of Industrial Integration and Management, 5(4), 507–530. https://doi.org/10.1142/S2424862220500220
Karmaker, C. L., Bari, A. M., Anam, M. Z., Ahmed, T., Ali, S. M., de Jesus Pacheco, D. A., & Moktadir, M. A. (2023). Industry 5.0 challenges for post-pandemic supply chain sustainability in an emerging economy. International Journal of Production Economics, 258, 108806.
Kasinathan, P., Pugazhendhi, R., Elavarasan, R. M., Ramachandaramurthy, V. K., Ramanathan, V., Subramanian, S., Kumar, S., Nandhagopal, K., Raghavan, R. R. V., Rangasamy, S., Devendiran, R., & Alsharif, M. H. (2022). Realization of Sustainable Development Goals with Disruptive Technologies by Integrating Industry 5.0, Society 5.0, Smart Cities and Villages. Sustainability (Switzerland), 14(22). https://doi.org/10.3390/su142215258
Kayikci, Y., Kazancoglu, Y., Lafci, C., & Gozacan, N. (2021). Exploring barriers to smart and sustainable circular economy: The case of an automotive eco-cluster. Journal of Cleaner Production, 314(January). https://doi.org/10.1016/j.jclepro.2021.127920
Krugh, M., & Mears, L. (2018). A complementary Cyber-Human Systems framework for Industry 4.0 Cyber-Physical Systems. Manufacturing Letters, 15, 89–92. https://doi.org/10.1016/j.mfglet.2018.01.003
Leitão, P., Colombo, A. W., & Karnouskos, S. (2016). Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges. Computers in Industry, 81, 11–25. https://doi.org/10.1016/j.compind.2015.08.004
Leng, J., Sha, W., Wang, B., Zheng, P., Zhuang, C., Liu, Q., Wuest, T., Mourtzis, D., & Wang, L. (2022). Industry 5.0: Prospect and retrospect. Journal of Manufacturing Systems, 65(September), 279–295. https://doi.org/10.1016/j.jmsy.2022.09.017
Li, S., Wang, R., Zheng, P., & Wang, L. (2021). Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm. Journal of Manufacturing Systems, 60(May), 547–552. https://doi.org/10.1016/j.jmsy.2021.07.017
Li, X., Koren, Y., & Epureanu, B. I. (2022). Complementary learning-team machines to enlighten and exploit human expertise. CIRP Annals, 71(1), 417–420. https://doi.org/10.1016/j.cirp.2022.04.019
Liaw, C. S., Chang, Y. C., Chang, K. H., & Chang, T. Y. (2011). ME-OWA based DEMATEL reliability apportionment method. Expert Systems with Applications, 38(8), 9713–9723.
Lin, C. J., & Wu, W. W. (2008). A causal analytical method for group decision-making under fuzzy environment. Expert Systems with Applications, 34(1), 205–213.
Liu, H., & Wang, L. (2020). Remote human–robot collaboration: A cyber–physical system application for hazard manufacturing environment. Journal of Manufacturing Systems, 54(September 2019), 24–34. https://doi.org/10.1016/j.jmsy.2019.11.001
Longo, F., Padovano, A., & Umbrello, S. (2020). Value-oriented and ethical technology engineering in industry 5.0: A human-centric perspective for the design of the factory of the future. Applied Sciences (Switzerland), 10(12), 1–25. https://doi.org/10.3390/APP10124182
Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration, 6, 1–10. https://doi.org/10.1016/j.jii.2017.04.005
Maddikunta, P. K. R., Pham, Q. V., Prabadevi, B., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R., & Liyanage, M. (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 26(August 2021), 100257. https://doi.org/10.1016/j.jii.2021.100257
Müller, J. M., Buliga, O., & Voigt, K. I. (2018). Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0. Technological Forecasting and Social Change, 132(January), 2–17. https://doi.org/10.1016/j.techfore.2017.12.019
Nahavandi, S. (2019). Industry 5.0. Sustainability, 11, 43–71.
Narvaez Rojas, C., Alomia Peñafiel, G. A., Loaiza Buitrago, D. F., & Tavera Romero, C. A. (2021). Society 5.0: A Japanese concept for a superintelligent society. Sustainability (Switzerland), 13(12). https://doi.org/10.3390/su13126567
Nieuważny, J., Masui, F., Ptaszynski, M., Rzepka, R., & Nowakowski, K. (2020). How religion and morality correlate in age of society 5.0: Statistical analysis of emotional and moral associations with Buddhist religious terms appearing on Japanese blogs. Cognitive Systems Research, 59, 329–344.
Noor-A-Rahim, M., Firyaguna, F., John, J., Khyam, M. O., Pesch, D., Armstrong, E., Claussen, H., & Poor, H. V. (2022). Toward Industry 5.0: Intelligent Reflecting Surface in Smart Manufacturing. IEEE Communications Magazine, 60(10), 72–78. https://doi.org/10.1109/MCOM.001.2200016
Paschek, D., Mocan, A., & Draghici, A. (2019). Industry 5 . 0 – The Expected Impact of Next Industrial Revolution. Managment Knowledge Learning International Conference, 125–132. http://www.toknowpress.net/ISBN/978-961-6914-25-3/papers/ML19-017.pdf
Raj, A., Dwivedi, G., Sharma, A., de Sousa, L., Jabbour, A. B., & Rajak, S. (2020). Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production Economics, 224(August 2019), 107546. https://doi.org/10.1016/j.ijpe.2019.107546
Raja Santhi, A., & Muthuswamy, P. (2023). Industry 5.0 or industry 4.0 S? Introduction to industry 4.0 and a peek into the prospective industry 5.0 technologies. International Journal on Interactive Design and Manufacturing (IJIDeM), 17(2), 947–979.
Sagnak, M., Berberoglu, Y., Memis, İ., & Yazgan, O. (2021). Sustainable collection center location selection in emerging economy for electronic waste with fuzzy Best-Worst and fuzzy TOPSIS. Waste Management, 127, 37–47. https://doi.org/10.1016/j.wasman.2021.03.054
Sharma, I., Garg, I., & Kiran, D. (2020). Industry 5.0 And Smart Cities: A Futuristic Approach. European Journal of Molecular & Clinical Medicine, 07(08), 2750–2756.
Sharma, M., Gupta, R., & Acharya, P. (2020a). Factors influencing cloud computing adoption for higher educational institutes in India: A fuzzy AHP approach. International Journal of Information Technology and Management, 19(2–3), 126–150. https://doi.org/10.1504/IJITM.2020.106215
Sharma, M., Gupta, R., & Acharya, P. (2020b). Prioritizing the Critical Factors of Cloud Computing Adoption Using Multi-criteria Decision-making Techniques. Global Business Review, 21(1), 142–161. https://doi.org/10.1177/0972150917741187
Sharma, M., Sehrawat, R., Luthra, S., Daim, T., & Bakry, D. (2022). Moving Towards Industry 5.0 in the Pharmaceutical Manufacturing Sector: Challenges and Solutions for Germany. IEEE Transactions on Engineering Management, 1–18. https://doi.org/10.1109/TEM.2022.3143466
Stegemann, S. (2016). The future of pharmaceutical manufacturing in the context of the scientific, social, technological and economic evolution. European Journal of Pharmaceutical Sciences, 90, 8–13. https://doi.org/10.1016/j.ejps.2015.11.003
Tay, S. I., Alipal, J., & Lee, T. C. (2021). Industry 4.0: Current practice and challenges in Malaysian manufacturing firms. Technology in Society, 67(September), 101749. https://doi.org/10.1016/j.techsoc.2021.101749
Tzeng, G. H., Chiang, C. H., & Li, C. W. (2007). Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL. Expert systems with Applications, 32(4), 1028–1044.
Verma, A., Bhattacharya, P., Madhani, N., Trivedi, C., Bhushan, B., Tanwar, S., Sharma, G., Bokoro, P. N., & Sharma, R. (2022). Blockchain for Industry 5.0: Vision, Opportunities, Key Enablers, and Future Directions. IEEE Access, 10(July), 69160–69199. https://doi.org/10.1109/ACCESS.2022.3186892
Wells, L. J., Camelio, J. A., Williams, C. B., & White, J. (2014). Cyber-physical security challenges in manufacturing systems. Manufacturing Letters, 2(2), 74–77. https://doi.org/10.1016/j.mfglet.2014.01.005
Xu, X., Lu, Y., Vogel-Heuser, B., & Wang, L. (2021). Industry 4.0 and Industry 5.0—Inception, conception and perception. Journal of Manufacturing Systems, 61(September), 530–535. https://doi.org/10.1016/j.jmsy.2021.10.006
Yazdi, M., Nedjati, A., Zarei, E., & Abbassi, R. (2020). A novel extension of DEMATEL approach for probabilistic safety analysis in process systems. Safety science, 121, 119–136.
Yüksel, H. (2020). An empirical evaluation of industry 4.0 applications of companies in Turkey: The case of a developing country. Technology in Society, 63(September), 101364. https://doi.org/10.1016/j.techsoc.2020.101364
Zadeh, L. A. (1965). Fuzzy Sets. Information Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The authors affirm that they have no known financial or interpersonal conflicts that might have appeared to have an impact on the research presented in this paper.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Kazancoglu, Y., Mangla, S.K., Berberoglu, Y. et al. Towards Industry 5.0 Challenges for The Textile and Apparel Supply Chain for The Smart, Sustainable, and Collaborative Industry in Emerging Economies. Inf Syst Front (2023). https://doi.org/10.1007/s10796-023-10430-5
Accepted:
Published:
DOI: https://doi.org/10.1007/s10796-023-10430-5