Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • harvard-cite-them-right
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Coded yarn based tag for tracking textile supply chain
University of Borås, Faculty of Textiles, Engineering and Business. Soochow University; GEMTEX; Université Lille.
GEMTEX; Université Lille.
GEMTEX; Université Lille.
University of Borås, Faculty of Textiles, Engineering and Business. Hanken School of Economics.ORCID iD: 0000-0003-0871-1838
2017 (English)In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 42, p. 124-139Article in journal (Refereed) Published
Abstract [en]

Traceability has gained considerable attention to facilitate monitored production, product recall, safety and reverse supply chain activities, in recent years. Traceability in manufacturing and distribution involves the use of tracking tags which are attached to the products; consequently, the products are tracked by recording the identity of attached tracking tags in the supply chain. In this context, this paper introduces a new yarn coding-based tracking tag which is fully integrated into textile for tracking the textile supply chain. The new tracking tag involves the use of special yarns which act as information carrier and basic unit of the tracking tag. An implementation scenario is discussed to use the designed tracking tag to monitor the production and authentication purposes. Real prototypes of the fully integrated coded yarn based textile tags are demonstrated in woven and knitted structures and analysed under the effect of washing treatments to simulate realistic conditions. Further, an image pattern recognition based algorithm has been introduced and analysed to extract the information encoded in the tag using coded yarns.

Place, publisher, year, edition, pages
2017. Vol. 42, p. 124-139
Keywords [en]
Tracking tag, Yarn tag, Traceability, Yarn coding, Image pattern recognition
National Category
Materials Engineering
Research subject
Textiles and Fashion (General)
Identifiers
URN: urn:nbn:se:hb:diva-11534DOI: 10.1016/j.jmsy.2016.11.008ISI: 000394077400010Scopus ID: 2-s2.0-85007284384OAI: oai:DiVA.org:hb-11534DiVA, id: diva2:1060571
Available from: 2016-12-29 Created: 2016-12-29 Last updated: 2021-10-20Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopushttp://www.sciencedirect.com/science/article/pii/S0278612516300863

Authority records

Kumar, VijayEkwall, Daniel

Search in DiVA

By author/editor
Kumar, VijayEkwall, Daniel
By organisation
Faculty of Textiles, Engineering and Business
In the same journal
Journal of manufacturing systems
Materials Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 3351 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • harvard-cite-them-right
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf