No. 6 (2025): Fashion Technology
Essays

Agile Production Networks: AI and WHOLEGARMENT® Knitting for Decentralised Fashion Systems

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  • Patricia Chircop
Patricia Chircop
University of Technology Sydney
cover of FH issue 6
DOI: https://doi.org/10.36253/fh-3694

Published 30-05-2026

Keywords

  • 3D knit,
  • localism,
  • advanced manufacturing,
  • industry 5.0,
  • sustainability

How to Cite

Chircop, P. (2026). Agile Production Networks: AI and WHOLEGARMENT® Knitting for Decentralised Fashion Systems. Fashion Highlight, (6), 82–90. https://doi.org/10.36253/fh-3694

Copyright (c) 2026 Patricia Chircop

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

WHOLEGARMENT® knitting enables the production of complete, 3D seamless garments in a single automated process, offering highly programmable textile manufacturing. This practice-based research investigates the feasibility of a decentralised production model—the Future Factory Network (FFN)—using existing industrial 3D knitting infrastructure. Early-stage knit trials were conducted at production sites equipped with WHOLEGARMENT® systems, alongside hypothetical network modelling based on international trade data and offshore manufacturing data from an Australian apparel brand. A varied set of products was produced to examine system adaptability, reconfiguration time, and operational stability under decentralised conditions. The study focuses on operational performance, framing knitting machines as networked production nodes within a potential distributed manufacturing system. Findings suggest that WHOLEGARMENT® technology provides a viable foundation for low-waste, low-labour, just-in-time production when applied across multiple localised sites. The research situates WHOLEGARMENT® systems within an emerging AI-enabled manufacturing context, indicating how future integration could further enhance responsiveness and coordination across
decentralised networks. This study contributes to ongoing discussions on hyperlocal production and digitally enabled manufacturing, proposing a structured pathway for reconfiguring fashion production toward modular, decentralised systems.

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References

  1. Abreu, M. C. S. de, Castro, F. de, Soares, F. de A., & Silva Filho, J. C. L. da. (2012). A comparative understanding of corporate social responsibility of textile firms in Brazil and China. Journal of Cleaner Production, 20(1), 119–126. https://doi.org/10.1016/j.jclepro.2011.08.010
  2. Cerulo, B., Papile, F., Motta, M., Marinelli, A., Maria Conti, G., & Del Curto, B. (2022). 3D knitting for upholstery: Guidelines to design at the interface of sustainable fashion and furniture. 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). https://doi.org/10.54941/ahfe1001547
  3. Choi, P. (2005). THREE DIMENSIONAL SEAMLESS GARMENT KNITTING ON V-BED FLAT KNITTING MACHINES. 4(3).
  4. Eckert, C. (1999). Managing Effective Communication in Knitwear Design. The Design Journal, 2(3), 29–42. https://doi.org/10.2752/146069299790225306
  5. Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15–26. https://doi.org/10.1016/j.ijpe.2019.01.004
  6. Gawer, A., & Cusumano, M. A. (2014). Industry Platforms and Ecosystem Innovation: Platforms and Innovation. Journal of Product Innovation Management, 31(3), 417–433. https://doi.org/10.1111/jpim.12105
  7. Hassani, H., Silva, E. S., Unger, S., TajMazinani, M., & Mac Feely, S. (2020). Artificial Intelligence (AI) or Intelligence Augmentation (IA): What Is the Future? AI, 1(2), 143–155. https://doi.org/10.3390/ai1020008
  8. Ivanov, D. (2023). The Industry 5.0 framework: Viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research, 61(5), 1683–1695. https://doi.org/10.1080/00207543.2022.2118892
  9. Ivanov, D., Dolgui, A., Sokolov, B., Werner, F., & Ivanova, M. (2016). A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0. International Journal of Production Research, 54(2), 386–402. https://doi.org/10.1080/00207543.2014.999958
  10. Kozinets, R. V., & Handelman, J. M. (2004). Adversaries of Consumption: Consumer Movements, Activism, and Ideology. Journal of Consumer Research, 31(3), 691–704. https://doi.org/10.1086/425104
  11. Langvik, K. S. (2022). The future of production is hyperlocal and open source.
  12. Larsson, J. K. J. (2018). Digital innovation for sustainable apparel systems. Research Journal of Textile and Apparel, 22(4), 370–389. https://doi.org/10.1108/RJTA-02-2018-0016
  13. Pavko Čuden, A. (2022a). 2—Recent developments in knitting technology. In S. Maity, S. Rana, P. Pandit, & K. Singha (Eds.), Advanced Knitting Technology (pp. 13–66). Woodhead Publishing. https://doi.org/10.1016/B978-0-323-85534-1.00020-9
  14. Pavko Čuden, A. (2022b). Knitting towards sustainability, circular economy and Industry 4.0. Applied Research, n/a(n/a), e202200087. https://doi.org/10.1002/appl.202200087
  15. Peterson, J., Larsson, J., Carlsson, J., & Andersson, P. (2008). Knit on demand – development and simulation of a production and shop model for customised knitted garments. International Journal of Fashion Design, Technology and Education, 1(2), 89–99. https://doi.org/10.1080/17543260802353399
  16. Pouillard, V., & Dubé-Senécal, V. (2023). The Routledge History of Fashion and Dress, 1800 to the Present (1st ed.). Routledge. https://doi.org/10.4324/9780429295607
  17. Pucker, K. P. (2022, January 13). The Myth of Sustainable Fashion. Harvard Business Review. https://hbr.org/2022/01/the-myth-of-sustainable-fashion
  18. Quantis. (2018). Measuring Fashion: Insights from the Environmental Impact of the Global Apparel and Footwear Industries Study. Quantis.
  19. Scheidt, F., Ou, J., Ishii, H., & Meisen, T. (2020). deepKnit: Learning-based Generation of Machine Knitting Code. Procedia Manufacturing, 51, 485–492. https://doi.org/10.1016/j.promfg.2020.10.068
  20. Simonis, K., Gloy, Y.-S., & Gries, T. (2016). INDUSTRIE 4.0—Automation in weft knitting technology. IOP Conference Series: Materials Science and Engineering, 141, 012014. https://doi.org/10.1088/1757-899X/141/1/012014
  21. Singha, K., Maity, S., & Pandit, P. (2022). Use of AI and machine learning techniques in knitting. In Advanced Knitting Technology (pp. 161–180). Elsevier. https://doi.org/10.1016/B978-0-323-85534-1.00021-0
  22. Stevick, K. (2023). Council Post: Worker Shortage: Overcoming Workforce Challenges In Manufacturing. Forbes. https://www.forbes.com/sites/forbesbusinesscouncil/2023/08/25/worker-shortage-overcoming-workforce-challenges-in-manufacturing/
  23. Swanson, C. A., & Lankford, W. M. (1998). Just-in-time manufacturing.
  24. Taylor, J., & Townsend, K. (2014). Reprogramming the hand: Bridging the craft skills gap in 3D/digital fashion knitwear design. Craft Research, 5(2), 155–174. https://doi.org/10.1386/crre.5.2.155_1

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