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  • 1.
    Agrawal, Tarun Kumar
    et al.
    University of Borås, Faculty of Textiles, Engineering and Business. ENSAIT/GEMTEX.
    Campagne, Christine
    ENSAIT/GEMTEX, Roubaix, France.
    Koehl, Ludovic
    ENSAIT/GEMTEX, Roubaix, France.
    Development and characterisation of secured traceability tag for textile products by printing process2018In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015Article in journal (Refereed)
    Abstract [en]

    Product security is one of the major concerns in the textile industry. Every year, fashion brands suffer significant loss due to counterfeit products. Addressing this, the paper introduces a secured tag for traceability and security of textile products. The proposed tag is unclonable, which can be manufactured using conventional screen-printing process. Further, it can be read using a smartphone camera to authenticate the product and trace its history. Consequently, imparting additional functionality to the textile through surface modification. To validate its applicability, the study experimentally investigates the durability and readability of the developed secured tag using three different binders on polyester and cotton textiles substrates. A comparison is presented with an in-depth analysis of surfaces and binders interaction at different stages of the secured tag lifecycle, i.e. before print, after print, after wash and after abrasion cycles. The methodology and findings of the study can also be useful for other manufacturing domains dealing with the printing process.

  • 2.
    Agrawal, Tarun Kumar
    et al.
    University of Borås, Faculty of Textiles, Engineering and Business.
    Koehl, Ludovic
    ENSAIT/GEMTEX, Roubaix, France.
    Campagne, Christine
    ENSAIT/GEMTEX, Roubaix, France.
    A secured tag for implementation of traceability in textile and clothing supply chain2018In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015Article in journal (Refereed)
    Abstract [en]

    Textile and clothing industry is one of the oldest manufacturing industries and is a major contributor in the economic growth of developing countries. However, from past few decades, it has been criticised for its opaque, unsecured and untraceable nature of supply chain. Addressing these challenges, the paper proposes a system approach to introduce an item-centric secured traceability concept to monitor and control manufacturing processes and supply chain activities. In order to implement such secured traceability system, the paper describes the process for manufacturing, encoding and validating an innovative two-factor secured tag based on particle randomness that is printed on the surface of textile. Being micro-sized, the particles are easy to read and validate with pattern recognition. Further, as achieved through an uncontrolled manufacturing process, the randomness is unclonable to produce counterfeit tags. Furthermore, a sequence of experimental analyses has been conducted using various simulated scenarios to verify its applicability. A secured tag can be a low-cost and durable substitute for detachable, unsecured identifiers commercially available in the market.

  • 3.
    Paras, Manoj Kumar
    et al.
    University of Borås, Faculty of Textiles, Engineering and Business.
    Pal, Rudrajeet
    University of Borås, Faculty of Textiles, Engineering and Business.
    Application of Markov chain for LCA: a study on the clothes 'reuse' in Nordic countries2017In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015Article in journal (Refereed)
    Abstract [en]

    The purpose of this paper is to develop a model to count the number of cycles or trips that a clothing product could make in a reuse-based closed loop cycle. The model is primarily based on three scenarios: (i) self-reuse (ii) discard to second-hand market and (iii) disposed to incineration or the recycling stations. The present study extended and complemented the existing literature by presenting the application of the Markov chain to analyse the future of textile products on the basis of probabilities. Subsequently, the proposed model has been used to study the textile waste flow in the Nordic countries, i.e. Denmark, Finland, Iceland, Norway and Sweden. The application of the proposed model on the data from the Nordic Countries indicated that the average number of times the clothes reuse is highest in Denmark, whereas the lowest was found in Finland. Repair and redesign were found a hotspot for the recovery of clothes. Variation in these hotspots can increase the trip number of clothes. A sensitivity analysis is performed and conclusions are made regarding variations of clothes reuse under different scenarios. The proposed model may help in the decision formulation for the companies, government authorities and research agencies which focus on reuse and recycling of textile products. Based on the insights from the present work, the decision maker may take several initiatives to increase the life span of a textile product.

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