A Certain Investigation on Impacting Factors on A Textile Manufacturing Automation Using Industry 4.0 and‎ Information Technologies

  • Authors

    • Karthikeyan R Research Scholar, Central University of Tamil Nadu , Tiruvarur, Tamil Nadu
    • Sudha G Professor, Central University of Tamil Nadu, Tiruvarur, Tamil Nadu
    https://doi.org/10.14419/yd1wab98

    Received date: June 12, 2025

    Accepted date: July 25, 2025

    Published date: August 4, 2025

  • Automation; Data Analysis; Industry 4.0; Information Technology; Textile Industry

  • Abstract

    The role of Industry 4.0 in the textile industry improves its efficiency over operational and management layers. This includes automation of ‎field sensors, scheduling of operating machines, automated assembly, and production lining. The automated device configuration and ‎machine organization are facilitated using different smart controllers and machine learning algorithms. Therefore, the growth of textile industrial automation combines smart hardware and intelligent algorithms to maximize operational and production efficiency. This article presents a ‎detailed survey of different learning algorithms and information technology incorporations in the textile industry. The impacting factors ‎based on investment, production quality, and governance support are discussed through graphical representations and deep discussions. ‎Therefore, this article considers the real-time data collected from the Coimbatore, Tirupur, and Erode regions of Tamil Nadu, South India. ‎As these cities are considered hubs for textile processing and garment manufacturing, the data collected is prominent for analysis and discussion. Based on the discussion, the conclusion regarding the need for textile automation and the incorporation of Industry 4.0 is given‎.

  • References

    1. Dawood, H. M., Bai, C., Zaman, S. I., Quayson, M., & Garcia, C. (2024), Enabling the Integration of Industry 4.0 and Sustainable Supply Chain Management in the Textile Industry: A Framework and Evaluation Approach, IEEE Transactions on Engineering Management 71, 14704-14717. https://doi.org/10.1109/TEM.2024.3459922.
    2. Nouinou, H., Asadollahi-Yazdi, E., Baret, I., Nguyen, N. Q., Terzi, M., Ouazene, Y., . & Kelly, R. (2023), Decision-making in the context of In-dustry 4.0: Evidence from the textile and clothing industry, Journal of Cleaner Production, 391, 136184. https://doi.org/10.1016/j.jclepro.2023.136184.
    3. Aslam, B., Abbas, S., Ahmad, Y., Shah, S. T. H., & Raza, M. (2024), Interplay of emerging industrial technologies, ambidexterity, and sustainabil-ity: The case of the textile sector, Sustainable Production and Consumption, 49, 372-386. https://doi.org/10.1016/j.spc.2024.07.006.
    4. Shakeel, M. U., Zaidi, S. Z. J., Ahmad, A., Abahussain, A. A. M., & Nazir, M. H. (2024), Benchmarking of key performance factors in textile in-dustry effluent treatment processes for enhanced environmental remediation. Scientific Reports 14, 26629. https://doi.org/10.1038/s41598-024-72851-9.
    5. Martínez-Peral, F. J., Migallón, H., Borrell-Méndez, J., Martínez-Rach, M., & Pérez-Vidal, C. (2024), Manipulation order optimization in industrial pick-and-place operations: application to textile and leather industry, The International Journal of Advanced Manufacturing Technology, 1-24. https://doi.org/10.1007/s00170-024-13436-8.
    6. Kazancoglu, Y., Mangla, S. K., Berberoglu, Y., Lafci, C., & Madaan, J. (2023), Towards industry 5.0 challenges for the textile and apparel supply chain for the smart, sustainable, and collaborative industry in emerging economies, Information Systems Frontiers, 1-16. https://doi.org/10.1007/s10796-023-10430-5.
    7. Sumi, Y., Kitaura, T., Yamada, J., Shimizu, Y., & Noguchi, M. (2024), Corporate depreciation practice in early twentieth-century Japan a compara-tive analysis of the textile industry, Accounting History Review, 1-16. https://doi.org/10.1080/21552851.2024.2431693.
    8. Bhuyan, M. I., & Oh, K. (2024), Effects of Wage Differentials, MFA, and GSP on Exports in the Bangladesh Textile and Garment Indus-try, International Economic Journal, 1-18. https://doi.org/10.1080/10168737.2024.2351993.
    9. Hemal, M. H. H., Parvin, F., & Aziz, A. (2024), Analyzing the Obstacles to the Establishment of Sustainable Supply Chain in the Textile Industry of Bangladesh, Bench Council Transactions on Benchmarks, Standards and Evaluations, 100185. https://doi.org/10.1016/j.tbench.2024.100185.
    10. Zhu, X., Chen, X., Cheng, X., & Wang, Y. (2024), How industry integration improves the eco-efficiency of the textile industry: The case of Qun-yi village in China”, Journal of Cleaner Production 438, 140490. https://doi.org/10.1016/j.jclepro.2023.140490.
    11. Mim, I. Z., Rayhan, M. G. S., & Syduzzaman, M. (2024), Prospects and current scenario of industry 4.0 in Bangladeshi textile and apparel indus-try, Heliyon 10, 32044. https://doi.org/10.1016/j.heliyon.2024.e32044.
    12. Ningsih, E. A., Diawati, L., Sari, H., & Bahagia, N. (2024), The Effectiveness of Safeguard Measures in Elevating the Competitiveness of Domes-tic Industry: Case Study of Indonesia's Textile Industry, Procedia Computer Science 234, 699-709. https://doi.org/10.1016/j.procs.2024.03.056
    13. He, B., Chen, Y., Ismail, N., Chen, G., & Ni, L. (2024), The impact of digital empowerment on the economic openness of the textile industry in Keqiao based on a sustainable environment, Heliyon 10, 23812. https://doi.org/10.1016/j.heliyon.2023.e23812.
    14. Thinakaran, S., Chandravelu, P., Ponnambalam, S. G., Sankaranarayanan, B., & Karuppiah, K. (2022), Analyzing the Challenges to Circular Econ-omy in Indian Fashion Industry, IEEE Access 11, 711-727. https://doi.org/10.1109/ACCESS.2022.3233197.
    15. Singh, A., Kumar, V., Verma, P., & Kandasamy, J. (2023), Identification and severity assessment of challenges in the adoption of industry 4.0 in Indian construction industry, Asia Pacific Management Review, Vol.28, No,3, 299-315. https://doi.org/10.1016/j.apmrv.2022.10.007.
    16. Ruidas, S., Seikh, M. R., & Nayak, P. K. (2024), Optimal production plan in a production inventory model under the coexistence of both green and regular products: A study on Indian textile industry, Heliyon 10, 23812. . https://doi.org/10.1016/j.heliyon.2024.e33777.
    17. Chourasiya, R., Pandey, S., Malviya, R. K., & Pujara, A. A. (2024), Towards sustainable success: A framework for assessing performance of sus-tainable manufacturing adoption in Indian textile industry, Sustainable Futures 7, 100216. https://doi.org/10.1016/j.sftr.2024.100216.
    18. Dohale, V., Ambilkar, P., Bilolikar, V., Narkhede, B. E., Kumar, A., & Kumar, A. (2023), Evaluating circular economy and smart technology adop-tion barriers in the Indian textile and apparel industries using neutrosophic ISM, Annals of Operations Research, 1-41. https://doi.org/10.1007/s10479-023-05651-5.
    19. Chourasiya, R., Pandey, S., & Malviya, R. K. (2024), Investigation and Assessment of the Barriers to Sustainable Manufacturing Adoption in the Indian Textile Industry. Process Integration and Optimization for Sustainability, Vol.8, No.1, 81-109. https://doi.org/10.1007/s41660-023-00353-8.
    20. Kanupriya. (2024), Linkages among trade, gender and environment: A review in the context of India’s textile sector., DECISION, Vol. 51, No.3, 397-409. https://doi.org/10.1007/s40622-024-00397-w.
    21. Ku, S., Choi, H., Kim, H. Y., & Park, Y. L. (2023), Automated sewing system enabled by machine vision for smart garment manufacturing, IEEE Robotics and Automation Letters, Vol.8, No.9, 5680-5687. https://doi.org/10.1109/LRA.2023.3300284.
    22. Kim, J., Cha, C., Lee, K., Oh, J., & Hong, Y. (2022), E-textile-based wavy surface WPT flexible antenna with frequency self-reconfiguration func-tion for batteryless sensor platform. IEEE Sensors Journal, Vol.23, No.5, 4392-4404. https://doi.org/10.1109/JSEN.2022.3203847.
    23. Yang, L., Meng, J., Xue, T., Wang, Y., Shi, G., Gao, X., & Zhi, C. (2024), Application of 3D printing cellulose fabrics based on cotton fibers in the textile and fashion industry, Additive Manufacturing 81, 104000. https://doi.org/10.1016/j.addma.2024.104000.
    24. Xu, C., Yu, H., Zhang, S., Shen, C., Ma, C., Wang, J., & Li, F. (2024), Cleaner production evaluation system for textile industry: An empirical study from LCA perspectives, Science of the Total Environment 913, 169632. https://doi.org/10.1016/j.scitotenv.2023.169632.
    25. Perroux, T., Arbaoui, T., & Merghem-Boulahia, L. (2024), The Flexible Job Shop Scheduling Problem with Setups and Operator Skills: an applica-tion in the textile industry, IFAC-PapersOnLine, Vol.58, No.19, 1090-1095. https://doi.org/10.1016/j.ifacol.2024.09.125.
    26. Meeradevi, T., & Sasikala, S. (2024).,Automatic fabric defect detection in textile images using a labview based multiclass classification approach, Multimedia Tools and Applications, 1-20. https://doi.org/10.1007/s11042-023-18087-7.
    27. Koundal, S., Sharma, K., Dhammi, P., Chadha, P., & Saini, H. S. (2023), Development and operation of immobilized cell plug flow bioreactor (PFR) for treatment of textile industry effluent and evaluation of its working efficiency, Environmental Science and Pollution Research, Vol.30, No,5, 11458-11472. https://doi.org/10.1007/s11356-022-22928-7.
    28. Oztat, K., Yavuz, A. A., & Işçen, C. F. (2024), Optimization studies on laccase activity of Proteus mirabilis isolated from treatment sludge of tex-tile industry factories: Optimization of laccase activity of Proteus mirabilis, Brazilian Journal of Microbiology 55, 1231-1241. https://doi.org/10.1007/s42770-024-01350-w.
    29. Yang, Y., Zhang, Y., Zuo, H., & Yan, N. (2023), The effective practical application of modern intelligent manufacturing technology in textile and garment industry, International Journal on Interactive Design and Manufacturing (IJIDeM), 1-10. https://doi.org/10.1007/s12008-023-01559-3.
    30. Kaur, G., Dey, B. K., Pandey, P., Majumder, A., & Gupta, S. (2024), A Smart Manufacturing Process for Textile Industry Automation under Un-certainties, Processes, Vol.12, No.4, 778. https://doi.org/10.3390/pr12040778.
    31. Petrillo, A., Rehman, M., & Baffo, I. (2024), Digital and Sustainable Transition in Textile Industry through Internet of Things Technologies: A Pa-kistani Case Study, Applied Sciences, Vol.14, No.13, 5380. https://doi.org/10.3390/app14135380.
    32. Ribeiro, V. M. (2024), Portuguese Textiles and Apparel Industry: Assessing the Effect of International Trade on Employment and Green Employ-ment. Administrative Sciences, Vol.14, No.10, 239. https://doi.org/10.3390/admsci14100239.
    33. Tahsin, R., Shahrier, M. F., Aziz, R. A., & Ahmad, N. (2024), Applying FIS models for lean waste management: a case study in Bangladesh’s tex-tile industry, The Journal of The Textile Institute, 1-10. https://doi.org/10.1080/00405000.2024.2431763.
    34. Li, C., Wu, J., Amos, C., & Su, Y. (2024), Interregional industrial transfer, industrial correlation spillover, and productivity: evidence from China’s textile industry, Applied Economics, Vol.56, No.37, 4492-4506. https://doi.org/10.1080/00036846.2023.2212965.

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  • How to Cite

    R, K. ., & G, S. . (2025). A Certain Investigation on Impacting Factors on A Textile Manufacturing Automation Using Industry 4.0 and‎ Information Technologies. International Journal of Basic and Applied Sciences, 14(4), 67-74. https://doi.org/10.14419/yd1wab98