Application of the Internet of Things in the textile industry

Manglani, Hitesh; Hodge, George; Oxenham, William

doi:10.1080/00405167.2020.1763701

Cited by 34 publications

(34 citation statements)

References 24 publications

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“…There are some barriers impeding the implementation of CE in the fashion industry due to the various fashion styles, aesthetics, and the roles of shoppers. The regulations and policies regarding the environment and sustainability of CE need to be considered [19]. It has also been determined that the textile business also has a detrimental impact on society because it consumes enormous resources such as oil, carbon, and water [33,34].…”

Section: Circular Economy Of Textile Recyclingmentioning

confidence: 99%

“…Sorting for textile material identification and separation takes place before textile waste is recycled due to the complex material in textile fibers [18]. Moreover, in the future, the large-scale separation and sorting of textile waste, regardless of the strategy that is selected, quick and reliable methods to accurately quantify the polyester content in cotton, polyester, and other textile material compound mixes are urgently needed [19]. Specific materials should be recycled, e.g., medical textiles, which are all fiber-based products and structures that are utilized for emergency treatment and clinical, surgical, and hygienic purposes [20].…”

Section: Introductionmentioning

confidence: 99%

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Possibility Routes for Textile Recycling Technology

et al. 2021

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The fashion industry contributes to a significant environmental issue due to the increasing production and needs of the industry. The proactive efforts toward developing a more sustainable process via textile recycling has become the preferable solution. This urgent and important need to develop cheap and efficient recycling methods for textile waste has led to the research community’s development of various recycling methods. The textile waste recycling process can be categorized into chemical and mechanical recycling methods. This paper provides an overview of the state of the art regarding different types of textile recycling technologies along with their current challenges and limitations. The critical parameters determining recycling performance are summarized and discussed and focus on the current challenges in mechanical and chemical recycling (pyrolysis, enzymatic hydrolysis, hydrothermal, ammonolysis, and glycolysis). Textile waste has been demonstrated to be re-spun into yarn (re-woven or knitted) by spinning carded yarn and mixed shoddy through mechanical recycling. On the other hand, it is difficult to recycle some textiles by means of enzymatic hydrolysis; high product yield has been shown under mild temperatures. Furthermore, the emergence of existing technology such as the internet of things (IoT) being implemented to enable efficient textile waste sorting and identification is also discussed. Moreover, we provide an outlook as to upcoming technological developments that will contribute to facilitating the circular economy, allowing for a more sustainable textile recycling process.

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Section: Circular Economy Of Textile Recyclingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Possibility Routes for Textile Recycling Technology

et al. 2021

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“…The spinning process comprises different processes, such as bale carding, blow room, comber, draw frame, inventory, lap winder, pre-draw frame, warehousing, winding, roving frame and ring spinning/speed frame/OE spinning (Puranikmath & Babu, 2020). Data is collected from these processes in real-time with an ERP system to control the production and quality and ensure the scheduling system (Manglani, Hodge, & Oxenham, 2019). In addition, drones are also used to examine the spinning unit, thus reducing paperwork due to automated data collection, with improved decision-making, scheduling, and logistics (Chen & Xing, 2015).…”

Section: Iot Usage In Textile Manufacturingmentioning

confidence: 99%

“…In addition, drones are also used to examine the spinning unit, thus reducing paperwork due to automated data collection, with improved decision-making, scheduling, and logistics (Chen & Xing, 2015). Therefore, overall automation within the spinning unit improves the productivity and efficiency of the workforce and quality (Manglani et al, 2019).…”

Section: Iot Usage In Textile Manufacturingmentioning

confidence: 99%

“…The next process to adopt IoT is a chemical processing, which includes sub-processes such as batching, designing, dyeing, mercerization, printing, singeing and stenter. Automatic monitors regulate the number of beams produced, production efficiency, recipe management, production, machine monitoring, downtime and calculating machine health, and specific energy consumption per kg of yarn, or fabric (Manglani et al, 2019).…”

Section: Iot Usage In Textile Manufacturingmentioning

confidence: 99%

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IoT adoption in SME manufacturers in Thailand

Wungcharoen¹

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The Internet of Things (IoT) is one of the most recent information communication technology (ICT) phenomena to have had a global impact upon wireless telecommunications. Due to the benefits of the IoT in terms of developing communication and connectivity between devices, businesses are thus able to enhance profitability, reduce operational costs, become customer-centric and eventually gain sustainable competitive advantage. Identifying and understanding the factors that affect the IoT adoption is critical in order that either the success or failure of an organisation can be determined. The existing literature, however, does point to a knowledge gap regarding IoT adoption in the manufacturing SME sector, in particular within developing countries. This study examines factors that affect IoT adoption within manufacturing SMEs in Thailand and provides further insights into those factors and their interaction. The theories of technology adoption, such as diffusion of innovation and technology organisation environmental framework, form the theoretical underpinnings of this thesis. Drivers and barriers, or factors, which promote or hinder IoT adoption respectively are of particular relevance. The research adopts a qualitative approach by conducting multiple case studies within 10 manufacturing SMEs in Thailand. Both within-case and cross-case analysis are used to conduct these case studies and this leads to the identification of common themes and categories impacting IoT adoption. The study finds that relative advantage, compatibility, business partner influence, trialability, top management support, organisational structure, technology support from vendors, observability, cost, and security and privacy are perceived to influence the decision of whether adoption of the IoT by Thai manufacturing SMEs is undertaken. Within these 10 factors, relative advantage and business partner influence are found to be the most significant drivers, whereas compatibility is found to be the most significant barrier. This study makes both practical and theoretical contributions to the growing body of knowledge regarding IoT adoption. The major theoretical contribution of this thesis is that it provides increased insight into the usage, applications and factors that affect the decision to adopt the IoT within the context of manufacturing SMEs in Thailand. The study presents a conceptual framework that highlights the factors affecting adoption of the IoT in manufacturing SMEs. The major practical contribution of this study is the information provided for policymakers, managers in organisations, technology consultants, and vendors in order that they may effectively implement and accelerate IoT development and utilisation among Thai manufacturing SMEs. Managers of SMEs could use this study as a reference upon which to base effective decision-making with regard to whether to adopt the IoT or not, and also for developing policies that could guide further adoption. Furthermore, IT vendors/consultants could use this study to gain productive insight into the specific problems and requirements faced by manufacturing SMEs when they are thinking about adopting IoT systems, thus enabling IT consultants to design suitable strategies for the widespread adoption of the IoT. This study is the first to examine IoT adoption in the context of manufacturing SMEs in Thailand and its findings will be relevant in other, similar developing world economies.

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