Reshaping Coordination Efficiency in the Textile Supply Chain Through Intelligent Scheduling Technologies

Authors

  • Xiaoxun Luo Chongqing Oriental Textile (Group) Co., Ltd., Chongqing, China Author

DOI:

https://doi.org/10.71222/ww35bp29

Keywords:

textile supply chain, intelligent scheduling, coordination efficiency, artificial intelligence

Abstract

The textile industry, characterized by its complex and globally dispersed supply chains, faces significant challenges in coordination efficiency due to fragmented information flows and dynamic production demands. Traditional scheduling methods struggle to meet the increasing requirements for customization, rapid delivery, and sustainability. This paper explores the transformative potential of intelligent scheduling technologies—leveraging advances in artificial intelligence, IoT, and big data analytics—to reshape coordination efficiency across the textile supply chain. Through the integration of dynamic resource allocation and real-time production optimization, intelligent scheduling addresses critical issues such as short product life cycles and high-mix low-volume manufacturing. The study provides a comprehensive review of current technological approaches and sets the stage for subsequent case studies and simulation analyses demonstrating tangible operational improvements.

References

1. W. Shen, "Production scheduling optimization of clothing intelligent manufacturing system based on association rule algo-rithm and big data platform," in Proc. 2024 Int. Conf. Electr. Drives Power Electron. Eng. (EDPEE), 2024, pp. 149–154, doi: 10.1109/EDPEE61724.2024.00149.

2. U. T. Gomes, P. R. Pinheiro, and R. D. Saraiva, "Dye schedule optimization: A case study in a textile industry," Appl. Sci., vol. 11, no. 14, p. 6467, 2021, doi: 10.3390/app11146467.

3. B. Farooq, J. Bao, H. Raza, Y. Sun, and Q. Ma, "Flow-shop path planning for multi-automated guided vehicles in intelligent textile spinning cyber-physical production systems dynamic environment," J. Manuf. Syst., vol. 59, pp. 98–116, 2021, doi: 10.1016/j.jmsy.2021.01.009.

4. H. D. Quoc, L. N. The, T. B. Quang, and P. H. Minh, "IoT-driven intelligent scheduling solution for industrial sewing based on real-RCPSP model," Future Internet, vol. 17, no. 2, p. 56, 2025, doi: 10.3390/fi17020056.

5. Z. Liu, S. Lin, and H. Li, "Production scheduling of regional industrial clusters based on customization oriented smart garment ecosystem," Int. J. Crowd Sci., vol. 7, no. 1, pp. 1–9, 2023, doi: 10.26599/IJCS.2022.9100024.

6. F. Pirola, M. Zambetti, and C. Cimini, "Applying simulation for sustainable production scheduling: A case study in the textile industry," IFAC-PapersOnLine, vol. 54, no. 1, pp. 373–378, 2021, doi: 10.1016/j.ifacol.2021.08.041.

7. H. Ding, H. Gao, Y. Dong, and S. Huang, "Research and implementation of order-oriented textile production scheduling sys-tem," J. Chin. Inst. Eng., vol. 46, no. 4, pp. 331–344, 2023, doi: 10.1080/02533839.2023.2194915.

8. S. Arora and A. Majumdar, "Machine learning and soft computing applications in textile and clothing supply chain: Biblio-metric and network analyses to delineate future research agenda," Expert Syst. Appl., vol. 200, p. 117000, 2022, doi: 10.1016/j.eswa.2022.117000.

9. Y. Dong, "Preliminary discussion on production scheduling optimization of garment intelligent manufacturing system based on big data," in Proc. 2021 2nd Int. Conf. Big Data Artif. Intell. Softw. Eng. (ICBASE), 2021, pp. 38–43, doi: 10.1109/ICBASE53849.2021.00038.

10. H. Khan, "The application of artificial intelligence in the supply chains of textile industries," J. Bus. Educ. Manag., vol. 1, no. 2, pp. 21–34, 2021, doi: 10.56596/jbem.v1i2.64.

11. C.-F. Chien, P.-C. Kuo, P.-C. Sun, and H.-A. Kuo, "Green production planning for circular supply chain and resource man-agement: An empirical study for high-tech textile dyeing," Resour. Conserv. Recycl., vol. 204, p. 107499, 2024, doi: 10.1016/j.resconrec.2024.107499.

12. D. Mourtzis, "Advances in adaptive scheduling in industry 4.0," Front. Manuf. Technol., vol. 2, p. 937889, 2022, doi: 10.3389/fmtec.2022.937889.

Downloads

Published

10 July 2025

Issue

Section

Article

How to Cite

Luo, X. (2025). Reshaping Coordination Efficiency in the Textile Supply Chain Through Intelligent Scheduling Technologies. Economics and Management Innovation, 2(4), 1-9. https://doi.org/10.71222/ww35bp29