Skip to main content

Advertisement

Log in

Towards Industry 5.0 Challenges for The Textile and Apparel Supply Chain for The Smart, Sustainable, and Collaborative Industry in Emerging Economies

  • Published:
Information Systems Frontiers Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

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.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Chapter  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Hori, S., & Shimizu, Y. (1999). Designing methods of human interface for supervisory control systems. Control engineering practice, 7(11), 1413–1419.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Nahavandi, S. (2019). Industry 5.0. Sustainability, 11, 43–71.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Zadeh, L. A. (1965). Fuzzy Sets. Information Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yigit Kazancoglu.

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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

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

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10796-023-10430-5

Keywords

Navigation