Industria Textila最新文献_第2页

Comparative investment decisions in emerging textile and FinTech industries in India using GARCH models with high-frequency data 利用高频数据的 GARCH 模型比较印度新兴纺织业和金融科技业的投资决策

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-12-22 DOI: 10.35530/it.074.06.202311

Bharat Kumar Meher, G. Puntambekar, Ramona Birau, Iqbal Thonse Hawaldar, C. Spulbar, M. Simion

{"title":"Comparative investment decisions in emerging textile and FinTech industries in India using GARCH models with high-frequency data","authors":"Bharat Kumar Meher, G. Puntambekar, Ramona Birau, Iqbal Thonse Hawaldar, C. Spulbar, M. Simion","doi":"10.35530/it.074.06.202311","DOIUrl":"https://doi.org/10.35530/it.074.06.202311","url":null,"abstract":"The domestic textiles and apparel industry stood at $152 billion in 2021, growing at a CAGR of 12% to reach $225 billion by 2025. The textiles and apparel industry in India has strengths across the entire value chain from fibre, yarn, and fabric to apparel. On the other hand, many FinTech companies gained enough importance and attention during the Demonetization and COVID-19 pandemic situation where most people are dependent and prefer cashless payments and receipts over hard cash payments and receipts. Due to the growth of FinTech companies in India, consumer lending FinTech companies in India make up 17% of total FinTech enterprises. Many angel investors are coming forward to invest in such FinTech companies as this industry has much potential to grow in future. As there is enough scope for the expansion of FinTech companies in India, retail investors come forward to invest in the stocks of listed FinTech companies. As retail investors always look forward to returns either in the form of dividends or appreciation of stock prices, it is also necessary to analyse and model the stock price volatility of FinTech companies in India before investing. Hence, this research study is an attempt to use high-frequency data i.e. 1-minute closing prices, to formulate suitable GARCH (Generalised Autoregressive Conditional Heteroscedasticity) models for stock price volatility of listed textiles and FinTech companies that could also capture the asymmetric volatility if it exists due to third phase of COVID-19 pandemic and Russia-Ukraine war. The results concluded that there is a presence of positive shocks which might be due to the third wave of the COVID-19 pandemic that might have again shot the demand for financial products and services of these FinTech companies namely Paytm and PolicyBazaar and there is no negative shock of Russia-Ukraine war.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":"17 4","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139165010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An online blockchain based sustainable logistics management system (OBSLMS) enabled by the Internet of Things for the textile industry 利用物联网为纺织业提供基于区块链的在线可持续物流管理系统（OBSLMS）

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-12-22 DOI: 10.35530/it.074.06.202364

I. Bhuvaneshwarri, V. Ilango

{"title":"An online blockchain based sustainable logistics management system (OBSLMS) enabled by the Internet of Things for the textile industry","authors":"I. Bhuvaneshwarri, V. Ilango","doi":"10.35530/it.074.06.202364","DOIUrl":"https://doi.org/10.35530/it.074.06.202364","url":null,"abstract":"Blockchain technology and IoT have been beneficial for information sharing, supply-chain management, product tracking and device control in multiple fields. Now, their combined potential has become an emerging concept, one that can be implemented in the textile industry. In most cases, textile industries are the backbone of the economy of a country. The major textile fibres are cotton, jute, wool, silk, bamboo, linen, etc. In theory, the fibre producers’ profit and their products’ market price may vary depending on the fibre’s demand, aggregate supply and the current market structure. But, in real-life textile markets, intermediaries between the producers and buyers lead to significant decreases in the producers’ profit. This results in the producer incurring losses and not being able to get back their initial investments as revenue. This research paper aims to provide a solution to the above-stated critical issue. In this paper, we have proposed an Online Blockchain-based Sustainable Logistics Management System (OBSLMS) for textile businesses. The implementation mechanism of the OBSLMS consists of blockchain based business transactions, an IoT based GPS tracking system and a unique QR (Quick Response) code verification for the endpoint delivery of textile fibres from producers to buyers. This sustainable solution also has a bidding feature. Moreover, OBSLMS has been programmed, implemented and tested. The OBSLMS uses the availability and efficiency of the openly available online platform, blockchain technology and IoT to help both the textile fibre producers and the buyers gain a fair profit.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":"12 3","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139163897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The effect of dyeing tubes’ structure on the colour difference of yarns 染色管结构对纱线色差的影响

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-12-22 DOI: 10.35530/it.074.06.202354

Şi̇mşek Gündüz Gonca

引用次数: 0

Designers’ potential in sustainable fashion: a systematic literature review 设计师在可持续时装方面的潜力：系统文献综述

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-12-22 DOI: 10.35530/it.074.06.2022139

Wang Yiyan, Norsaadah Zakaria

{"title":"Designers’ potential in sustainable fashion: a systematic literature review","authors":"Wang Yiyan, Norsaadah Zakaria","doi":"10.35530/it.074.06.2022139","DOIUrl":"https://doi.org/10.35530/it.074.06.2022139","url":null,"abstract":"Given the unsustainable issues of environmental pollution, resource waste, and industrial cycle blockage, the garment industry, has sought an innovation for sustainable development led by the linear economy. The circular economy (CE) advocates closing and correcting material and energy circuits, minimising resource entry and waste, and improving emissions and energy consumption. Most practices under the existing CE model address the outcome rather than comprehending the source. As one of the most critical players in the apparel industry, designers understand the source of product development. In this paper, existing sustainable design practices (SDPs) in the transition of the apparel industry to CE were summarised through a systematic literature review. The extent of designers’ involvement in CE was explored through a correlation study and data analysis between SDPs and the processes of product development (PDP) and production process (PP). Furthermore, the designers’ potential to contribute sustainably to the CE transformation within the apparel industry was discussed via qualitative analysis. The findings demonstrated infrequent involvement in PP by designers, whose voices were limited in the apparel industry, and that the possibility of more designer involvement in SDP. Therefore, this research only focused on the sustainability potential of designer-led PDPs. Lastly, the potential and limitations of applying PDP three-dimensional visualisation as a designer-led SDP were presented.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":"130 4","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139165799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of the comfort properties of functional knitted fabrics for people with special needs 评估为有特殊需求者设计的功能性针织品的舒适特性

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-12-22 DOI: 10.35530/it.074.06.2022153

D. Toma, Alina Popescu, C. Niculescu, A. Săliștean, C. Lite, Minela Neneciu, Sara Wechsler, Ionut Daniel Ion, Mirela Greti Puiu, Crina Raican

引用次数: 0

Colour prediction as a weaving design selection help tool in Jacquard CAD 将色彩预测作为提花 CAD 中织造设计选择的辅助工具

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-12-22 DOI: 10.35530/it.074.06.202322

W. Miled, Hind Algamdy, Sofien Benltoufa, Muhammad Khan

{"title":"Colour prediction as a weaving design selection help tool in Jacquard CAD","authors":"W. Miled, Hind Algamdy, Sofien Benltoufa, Muhammad Khan","doi":"10.35530/it.074.06.202322","DOIUrl":"https://doi.org/10.35530/it.074.06.202322","url":null,"abstract":"The final colour prediction of a weave design made of dyed yarns is a difficult problem. This study shows how a geometric model can be developed to obtain the final colour prediction objectively. For this purpose, a woven material was divided into weft, warp and pores. Then, all parameters needed for the calculation of each colour contribution were identified. A geometrical model based on construction parameters was developed to predict the surface colour contribution of each coloured yarn in a weave surface. To validate the predicted colorimetric data, a visual assessment experiment was conducted. Then, the difference between the predicted and actual colour appearance of the weave pattern was evaluated and analysed in function of weaving structures, and weft yarns colours. For this purpose, simple woven structures (plain, twill 1/3, basket 2/2 and satin Turc) with four coloured weft yarns were used. Results show that the proposed model could correctly predict the final colour of weave designs. Therefore, the model has the potential to eliminate subjective evaluations and reduce prototype sample production by automating the process of weave/colour simulation, thereby reducing the cost and time for product development. The methods of utilization of colour in woven textiles depend upon the composition of the weave design to be woven and the structure parameters of the cloth.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":"3 3","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139163632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An intelligent garment recommendation system based on case-based reasoning technology 基于案例推理技术的智能服装推荐系统

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-12-22 DOI: 10.35530/it.074.06.202331

Junjie Zhang, Xianyi Zeng, M. Dong, Hua Yuan, Yun Zhang

引用次数: 0

Strength of cotton dual-core elastane yarn splice 棉双芯弹力纱拼接强度

4区工程技术

Industria Textila Pub Date : 2023-10-31 DOI: 10.35530/it.074.05.20228

THOURAYA HAMDI, MOHAMED JMALI, MOHAMED BEN HASSEN

引用次数: 0

Promoting educational materials in digital fashion 推广数码教材

4区工程技术

Industria Textila Pub Date : 2023-10-31 DOI: 10.35530/it.074.05.2022133

Ion RAZVAN RADULESCU, MARIAN CATALIN GROSU, SABINA OLARU, RAZVAN SCARLAT, IRINA IONESCU, EMILIA VISILEANU, ANDREJA RUDOLF

{"title":"Promoting educational materials in digital fashion","authors":"Ion RAZVAN RADULESCU, MARIAN CATALIN GROSU, SABINA OLARU, RAZVAN SCARLAT, IRINA IONESCU, EMILIA VISILEANU, ANDREJA RUDOLF","doi":"10.35530/it.074.05.2022133","DOIUrl":"https://doi.org/10.35530/it.074.05.2022133","url":null,"abstract":"Specialized fashion software, as a technological instrument for virtual modelling, has a critical role in reducing the length of the design process and time to market, simplifying communication with other departments and improving the quality of the creative process. This paper presents a survey of the modelling technologies used in Romanian clothing companies as a critical starting point for outlining a new methodology in teaching digital fashion. As part of the larger European survey in the framework of the Erasmus+ Digital Fashion Project, collected data from Romanian textile companies present their current needs for clothing designed with computer technologies and 3D software for virtual prototyping. According to the sampled companies, most have high (over 42%) and medium (over 33%) levels of digital skills. The most needed occupational profile was the 3D Designer, and the age expectation was between 25–40 years. The ability to design clothing patterns using virtual prototyping was the most selected preference when asked about future development requirements. The survey results are valuable both in establishing the new methodological framework for teaching digital fashion and in identifying the needs for the other project outcomes, such as the textile database, the virtual training platform, and the new curricula.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":"164 33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135976233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Statistical analysis of textile structures based on conductive yarns 导电纱织物结构的统计分析

4区工程技术

Industria Textila Pub Date : 2023-10-31 DOI: 10.35530/it.074.05.2022125

Raluca-Maria Aileni, Angela Dorogan, Teodor Sarbu, Cristina Stroe, Cristina Lite

引用次数: 0