HYPERLOCAL KNITTING BUILDING SUSTAINABLE NETWORKS WITH 3D SEAMLESS TECHNOLOGY

Chircop, P

HYPERLOCAL KNITTING BUILDING SUSTAINABLE NETWORKS WITH 3D SEAMLESS TECHNOLOGY

Chircop, P

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Publisher:: Firenze University Press
Publication Type:: Journal Article
Citation:: Fashion Highlight, 2025, 2025, (SI1), pp. 120-129
Issue Date:: 2025-01-01

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Field	Value	Language
dc.contributor.author	Chircop, P https://orcid.org/0009-0006-6997-7081
dc.date.accessioned	2026-07-29T05:47:37Z
dc.date.available	2026-07-29T05:47:37Z
dc.date.issued	2025-01-01
dc.identifier.citation	Fashion Highlight, 2025, 2025, (SI1), pp. 120-129
dc.identifier.issn	2975-0466
dc.identifier.issn	2975-0466
dc.identifier.uri	http://hdl.handle.net/10453/195825
dc.description.abstract	Traditional manufacturing models are increasingly unsustainable and vulnerable to environmental and geopolitical challenges. Industry 4.0 principles integrated with cutting-edge 3D knit technology form the basis for the proposed Future Factory Network (FFN). The FFN enables localised production on a global scale, where the physical location of designers and consumers becomes irrelevant; aligning with circular economy principles and offering extensive design options. Produced with near-zero waste, minimal post-processing, and highly customisable, 3D knit products offer an ideal solution for sustainable manufacturing. This research will develop and test a novel manufacturing model that leverages existing resources to adopt slow fashion principles within a scalable, efficient, and agile framework. The FFN model aims to enhance brand sustainability and circular economies through smart manufacturing systems and advanced 3D knit technology. Whilst this model addresses manufacturing processes, the behavioural shifts needed among consumers and stakeholders are intrinsic issues beyond the scope of this research.
dc.language	en
dc.publisher	Firenze University Press
dc.relation.ispartof	Fashion Highlight
dc.relation.isbasedon	10.36253/fh-3129
dc.rights	info:eu-repo/semantics/openAccess
dc.title	HYPERLOCAL KNITTING BUILDING SUSTAINABLE NETWORKS WITH 3D SEAMLESS TECHNOLOGY
dc.type	Journal Article
utslib.citation.volume	2025
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	University of Technology Sydney/Faculty of Design, Architecture and Building/School of Design
pubs.organisational-group	University of Technology Sydney/Faculty of Design and Society
pubs.organisational-group	University of Technology Sydney/Faculty of Design and Society/School of Design
pubs.organisational-group	University of Technology Sydney/Faculty of Design and Society/Design and Society Related HDR students
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2026-07-29T05:47:35Z
pubs.issue	SI1
pubs.publication-status	Published
pubs.volume	2025
utslib.citation.issue	SI1

Abstract:

Traditional manufacturing models are increasingly unsustainable and vulnerable to environmental and geopolitical challenges. Industry 4.0 principles integrated with cutting-edge 3D knit technology form the basis for the proposed Future Factory Network (FFN). The FFN enables localised production on a global scale, where the physical location of designers and consumers becomes irrelevant; aligning with circular economy principles and offering extensive design options. Produced with near-zero waste, minimal post-processing, and highly customisable, 3D knit products offer an ideal solution for sustainable manufacturing. This research will develop and test a novel manufacturing model that leverages existing resources to adopt slow fashion principles within a scalable, efficient, and agile framework. The FFN model aims to enhance brand sustainability and circular economies through smart manufacturing systems and advanced 3D knit technology. Whilst this model addresses manufacturing processes, the behavioural shifts needed among consumers and stakeholders are intrinsic issues beyond the scope of this research.

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http://hdl.handle.net/10453/195825