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The article considers the approaches to assessing the financial security of enterprises presented in the literature, determines the rsistance of the textile industry of Uzbekistan to the negative impact of the coronavirus pandemic on the basis of statistical data, and reveals a significant differentiation of textile industry enterprises in terms of financial stability. Based on data on small enterprises in the textile industry of Uzbekistan, a method for assessing the financial security of an enterprise in the post-pandemic period is proposed and tested, taking into account the complex influence of non-financial parameters of economic security and assessing the deviations of the economic situation at a given enterprise from the patterns emerging in the relevant segment of the economy. In this research an econometric model was developed to determine the factors affecting the chemical industry and express their interrelationship, based on the conducted econometric analysis, the directions of development in our country were determined. According to the authors, it is necessary to continue these directions in order to ensure the economic security of industry enterprises in the country. © 2022 ACM.
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In this paper has been proposed a methodology for ensuring the financial security of enterprises in the context of recession caused by the COVID-19 pandemic. Based on pre-crisis data related to the new coronavirus infection pandemic and multi-component modeling of the dynamics of industrial production in the Republic of Uzbekistan during the "corona crisis,"this study seeks to identify the dynamics of growth by economic activity type and recovery rate in order to identify areas of state support for industrial production. In this paper has been investigated issues of financial security management of textile enterprises. On the basis of secondary statistics, the growth of textile production in the regions of the Republic of Uzbekistan in 2008-2020 was analyzed and the factors influencing it were identified. By the author have been presented the main tasks and conditions for the financial security of enterprises, as well as developed scientific and practical recommendations for eliminating factors affecting the financial security of textile enterprises. © 2022 Owner/Author.
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Consumer clothing presents behaviors defined by pre-established trends and patterns in contemporary societies, and in general the consumption of textile products follows this trend. However, as a result of the COVID-19 pandemic and the restrictions perpetuated as a consequence of it, the consumption of textile products has been affected throughout the world. Under this premise, the objective of this research is to analyze the effect of store images, trust and perceived quality on the habits of the textile consumer in the context of the COVID-19 pandemic, for which, firstly, a review of the literature was carried out regarding the variables of the habits of the textile consumer and their relationship with the store image, trust and perceived quality, for which documents from academic search engines were taken into account, such as Scopus, Web of Science, ResearchGate and Google Scholar. On the other hand, a survey was conducted among textile consumers in Ecuador. The measurement tool was completed by 500 participants. In this way, the survey was conducted virtually through Google Forms and through the use of IBM SPSS software. The sampling technique consisted of convenience sampling. For the specific case of this investigation, it was decided to opt for the use of 500 valid questionnaires. This allowed one to propose a model of structural equations based on constructs associated with reference investigations. The main results of this research confirmed that there is a positive impact of the image of the trusted establishment on the product, as well as a positive impact on the general perceived quality of consumption habits (comparison) and on the effect of the quality of perceived service in consumption habits (planning).
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Background: The New Global Economy is represented by a series of major features, such as the use of green energy, the reduction of the carbon footprint in all industrial and civil fields, as well as finding alternative food resources. Our main objective was the research of a sustainable food product with a special nutritional purpose in the vision of nutrivigilance, developed in Romania, as an adjuvant in the repair of gastric mucosa. Methods: The materials used in the research and development of the new food are the following: inulin, lactoferrin, sericin, and sodium bicarbonate. The new adjuvant food product in the repair of the gastric mucosa was added to certain foods in order to prevent the patients from being satiated by a single food from a sensory point of view. The resulting food products were organoleptically and physico-chemically analyzed. Results: The new food is sustainable and has versatile uses. It can be hydrated with water, non-carbonated drinks, mixed with cottage cheese, or with fruit puree and oatmeal. It is stable under normal storage conditions and microbiologically safe. Conclusions: Through its versatile use, the new food product for special nutritional conditions represents a worldwide novelty. Through the development of forestry for the cultivation of white or black mulberry (Morus alba and Morus nigra), the raising of silkworms (Bombyx mori), the processing of fibroin to obtain natural silk and the processing of sericin resulting as a residue in the textile industry, the new food product developed actively contribute to the global economy II.
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The sudden outbreak of COVID-19 has created dramatic challenges for public health and textile export trade worldwide. Such abrupt changes are difficult to predict due to the inherently high complexity and nonlinearity, especially with limited data. This article proposes a novel modified discrete grey model with weakening buffer operators, called BODGM (1,1), for forecasting the impact of pandemic-induced uncertainty on the volatility of cotton exports in China under limited samples. First, the Mann-Kendall test examines how pandemic-induced uncertainty affects cotton exports, based on China's monthly cotton export data from June 2014 to August 2022. Second, buffer operators are employed to weaken the nonlinear trends and correct the tentative predictions of the discrete grey model. Then, the BODGM (1,1) model was validated by comparison with four alternative models. The results indicate that the BODGM (1,1) model was particularly promising for identifying mutational fluctuations in cotton exports and outperformed the GM (1,1), DGM (1,1), ARIMA and linear regression models in fitting and prediction accuracy under volatility and limited data. The BODGM (1,1) model forecast results for China showed that cotton export volume was expected to show signs of recovery over the next 12 months. The findings of this study may provide a basis for formulating trade policies to mitigate the impact of the COVID-19 outbreak on export resources and build their resilience to future pandemics.
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The selection of potential suppliers has recently become a big challenge for the manufacturing industries due to the rapid spread of covid-19 and the escalating frequency of natural calamities such as earthquakes and floods. When decision-makers (DMs) consider quantity discounts from multiple sources, things get much more complicated. Although previous studies have looked at selecting suitable suppliers from economic and environmental aspects, no one has considered foreign transportation risks while evaluating the textile industry's global green suppliers. In this regard, for the first time, this study combines economic and environmental factors with the foreign transportation risk criterion to develop a holistic model for global green supplier selection and order allocation (SS&OA) in the textile industry under all-unit quantity discounts. Initially, the fuzzy analytical hierarchy process (FAHP) method is used to calculate the relative weights of the criteria. Second, a multi-objective linear programming (MOLP) model is developed to reduce the total procurement cost, quality rejection rate, delivery lateness rate, greenhouse gas emissions from product procurement, and foreign transportation risks. Subsequently, the developed MOLP model is transformed into a fuzzy compromise programming (FCP) model to obtain order allocation quantities among selected suppliers with their offered quantity discount rates. A real-life case study of the Pakistani textile industry is presented to validate the proposed methodology's applicability by determining the optimal order allocation quantities among multiple suppliers based on two decision-making attitudes of DMs (neutral and risk-averse). Finally, sensitivity and comparative analyses are carried out to guarantee that the proposed technique produces accurate and optimal solutions. The final results of the proposed methodology show that it can effectively manage data uncertainties during SS&OA compared to other existing approaches. The suggested integrated methodology's outcomes can assist the supplier organization in overcoming its current shortcomings and developing a long-term relationship with the buyer organization. © 2023 Elsevier Ltd
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[...]there is apparel for sale that has a limited lifespan and is deemed disposable (Gözet, B., and Wilts, H., 2022). [...]the sector has faced challenges such as increased production costs, energy tariffs, pricing, a lack of raw materials, obsolete technology, and a lack of investment. The country is shifting from exporting raw materials to value-added products, with significant increases in exports of readymade garments, knitwear, bedwear, towels, and cotton textiles. [...]global input cost increases and currency rate changes have increased the export sector's working capital needs (Goheer, 2022).
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The year 2020 will be forever remembered in the textile industry for one overriding reason - the Covid-19 pandemic. Since March, industries across the entire textile supply chain have been rocked by factory closures, market declines, trade restrictions and the postponement of many of the trade shows that usually populate the textile calendar. WTiN's Innovate Textile & Apparel virtual trade show was first established to bring together a fragmented industry. The show opened its virtual doors to give an exhibition platform for companies from all areas of the supply chain to exhibit, showcase and even premiere some of the innovative products that had been in the pipeline for the cancelled trade shows. Dyeing and finishing was the most popular exhibitor sector at the trade show, illustrating the industry's adaptive nature, popularity and prominence in textile innovation. In total, 42 companies had selected the sector as their primary tag in the trade show portal, each of which promoted a collection of unique products and solutions. © 2020 World Textile Information Network. All rights reserved.
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This study is designed to explore the impacts of the COVID pandemic on the socio-economic status of textile workers and to suggest ways for balancing the turnover rate. For the study, a cross-sectional study design and mixed-method approach were employed. The researchers conducted a questionnaire survey of 357 textile workers using convenience sampling and, 5 KIIs, 20 IDIs, and 5 FGDs using purposive sampling. The study area was the Gazipur district of Bangladesh, a hub of the textile industry. Findings from Principle component analysis revealed that 54.38% of the total observed variation can be explained by five components. Working Environment (r = –0.699), Payment System (r = .987), Savings (r = .920), Employee Turnover Rate (r = .769), and Social Status (r = .558) of employees are identified by PCA as the most strongly correlated variables that have significant impacts on the socio-economic condition of textile workers due to Covid 19 pandemic. Finally, through Logistic Regression Analysis, the study has found that Safe Working Environment (OR = 0.203, 95% CI 0.098-0.419), Satisfactory Payment Structure (OR = 2.196, 95% CI 1.354-3.561), and Provident Fund Facilities (OR = 2.908, 95% CI 1.497-5.651) can reduce the turnover rate of textile workers. Additionally, effective labor unions and adequate training facilities can also balance the adverse socio-economic impacts on the textile workers. © 2023 DMICS.
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There is an ever-growing need in several industries to disinfect or sanitise products (i.e., to reduce or eliminate pathogenic microorganisms from their surfaces). Gaseous ozone has been widely applied for this purpose, particularly during the era of the COVID-19 pandemic. However, the large-scale deployment of this technology usually involves a manually-operated chamber, into which articles are loaded and subsequently unloaded after treatment—a batch process. Although the development of large-scale, automated and continuous ozonation equipment has hardly been reported in the literature, this has tremendous potential for industries seeking to decontaminate certain articles/products in a rapid and effective manner. In this paper, an overview of the design and implementation considerations for such an undertaking is evaluated. By presenting a case study for a developed automated system for clothing and personal protective equipment (PPE) disinfection, we provide key data regarding the automation procedure/design's considerations, risks, material compatibility, safety, sustainability and process economics. Our analysis shows that the transfer time for garments between successive chambers and the agility of the sliding doors are crucial to achieving the desired throughput. The automated system is capable of effectively treating (20 ppm ozone for 4 min) 20,000 garments within an 8-h shift, based on a transfer time of 2 min and a sliding door speed of 0.4 m/s. The flexibility of the system allows for variation in the concentration or exposure time, depending on the contamination level and the consequent decontamination efficiency desired. This flexibility significantly limits the degradation of the material during treatment. A return on investment of 47% is estimated for this novel system. © 2023 by the authors.
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Creative industries were thought to be the most difficult avenue for Computer Science to enter and to perform well at. Fashion is an integral part of day to day life, one necessary both for displaying style, feelings and conveying artistic emotions, and for simply serving the purely functional purpose of keeping our bodies warm and protected from external factors. The Covid-19 pandemic has accelerated several trends that had been forming in the clothing and textile industry. With the large-scale adoption of Artificial Intelligence (AI) and Deep Learning technologies, the fashion industry is at a turning point. AI is now in charge of supervising the supply chain, manufacturing, delivery, marketing and targeted advertising for clothes and wearable and could soon replace designers too. Clothing design for purely digital environments such as the Metaverse, different games and other on-line specific activities is a niche with a huge potential for market growth. This article wishes to explain the way in which Big Data and Machine Learning are used to solve important issues in the fashion industry in the post-Covid context and to explore the future of clothing and apparel design via artificial generative design. We aim to explore the new opportunities offered to the development of the fashion industry and textile patterns by using of the generative models. The article focuses especially on Generative Adversarial Networks (GAN) but also briefly analyzes other generative models, their advantages and shortcomings. To this regard, we undertook several experiments that highlighted some disadvantages of GANs. Finally, we suggest future research niches and possible hindrances that an end user might face when trying to generate their own fashion models using generative deep learning technologies. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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The 2023 edition of Heimtextil—the world's largest international trade fair for home and contract textiles—was held at the Messe Frankfurt Exhibition Center in Frankfurt, Germany, during January 10-13, 2023. There was a noticeable buzz at the fair, even though economic and political uncertainties continued to affect the textile industry. In particular, businesses were faced with ongoing challenges as a result of the impact of the COVID-19 pandemic and the war in Ukraine. A key attraction for visitors attending the fair was the Trend Space—an immersive exhibition area which was dedicated to the presentation of design trends in architecture, art, fashion, furniture, interior design and textiles. The overall design theme for the Trend Space was Textiles Matter, which was chosen to encourage visitors to focus on the full life cycle of textiles, starting from the cultivation or manufacture of fibres and continuing through to a product's afterlife. The theme is based on the Ellen MacArthur Foundation's principles of a circular economy which outlines two significant material cycles involved in circularity. One of the two cycles is the biological cycle, whereby organic materials are kept in a continuous loop—ie returned to earth—using processes such as composting and biodegradation. The other cycle is the technical cycle, whereby inorganic materials are kept in a continuous loop using processes such as reuse, repair, remanufacture and recycling. The theme was presented as a collection of four trends. Two of the trends were inspired by the biological cycle and were named From Earth and Nature Engineered. The other two trends were inspired by the technical cycle and were named Make and Remake, and Continuous. © Textiles Intelligence Limited 2023.
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The European fabric fairs for the autumn/winter 2023/24 season were held in a hesitant spirit, reflecting economic uncertainties affecting the whole of the textile and clothing industry. The industry has faced persistent disruptions to supply chains caused by lockdowns, which have continued to be imposed in major textile and clothing producing countries in an attempt to stem the spread of COVID-19. Furthermore, the war in Ukraine has introduced additional challenges—including difficulties in procuring raw materials and sharp increases in fuel and energy costs. At the same time, calls for the European textile and clothing industry to take action to reduce the damaging impact of its operations on the environment have intensified. It was evident at the fairs that many exhibitors had acknowledged these calls in the development of their product ranges for the autumn/winter 2023/24 season. Many had turned to eliminating dyes which contain harmful synthetic chemicals from their ranges and some had collaborated with leading innovators in the development of dyes which contain natural pigments, plant-based materials and, in some cases, fermented foodstuffs. For several exhibitors, it was important to replace finishing treatments which contain toxic chemicals with finishing treatments containing natural substances while for others the key considerations were traceability and transparency in the design and development of their ranges. The key colours for the autumn/winter 2023/24 season are rich and earthy, although there are some exceptions to this trend. Notably, grey is prominent—and silver is the principal metallic colour of the season. Print and pattern are prominent in collections for the season and, importantly, eccentric and fantastical graphic designs dominate. Designs which feature and surrealist imagery are prevalent while designs which are influenced by folklore and classical antiquity are popular. Also popular are designs which feature photographic imagery of landscapes and urban scenery, and designs which feature hand drawn illustrations, references to pop art, and collage. © Textiles Intelligence Limited 2022.
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The Covid-19 pandemic has sparked global fretfulness. The concern is that the virus is spreading too far, too fast and medical scientists can't seem to find a way to contain it. Juan Dumois, a pediatric infectious-diseases physician at Johns Hopkins All Children's Hospital in St. Petersburg, Florida reported that "coronavirus in general will last a lot longer on a solid, nonporous surface compared to porous fabrics". He also suggested they would survive for longer on artificial fibres such as polyester rather than cotton, which is one of the mediums for spreading infection. In concurrence with an increasing public awareness of infectious diseases, the textile industry, including Sarex, would like to re-introduce two of its effective antimicrobial agents which are effective against a broad spectrum of microbes, pathogens and viruses. In this study, Sarex have treated various textile substrates - cotton, polyester and polyamide fabrics - with these anti-microbial agents and have tested them for durability using the AATCC100 test method. The results are very encouraging and can help in controlling the spread of the infections, thus contributing to the well-being of humankind. © 2020 World Textile Information Network. All rights reserved.
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This document shows the way in which the supply chain of a company in the textile industry was affected as a result of the lack of maintenance in one of its productive processes in times of pandemic is exposed. From this premise a preventive maintenance proposal is presented, with the purpose of allowing the organization to reduce unscheduled stoppages in the machinery that produces the analyzed product. The maintenance proposal was carried out through observation, information registration and open interviews. Furthermore, the maintenance proposal was elaborated from an analysis of the critical points of the machinery, which were identified by a Pareto diagram. With this maintenance plan, it is intended to have a flexible production that allows to adapt to the needs of the current demand derived from the COVID-19 pandemic. © 2022 IEEE.
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Apart from the many social and health problems it has caused, the COVID-19 pandemic has had a severe impact on most sectors of the economy worldwide. One of the areas where such impact is noticeable is the textile, apparel, and fashion (TAF) industry. The lockdowns and limited access to retailer outlets resulted in a considerable drop in consumption, creating problems related to the excess of stock, the decrease of sales, and the disposal of non-used items. This paper outlines the implications of the COVID-19 on the TAF sectors and European retailers. It analyzes how the current supply chains exacerbated stock control problems, and it reports on the changes in consumption during the pandemic. The worldwide restrictive measures implemented to cope with the COVID-19 pandemic were responsible for significant profit losses. Also, the decrease in consumption, caused by several geographically wide lockdowns, prompted a subsequent reduction in orders and sales, resulting in a significant number of constraints. The implementation of more environmentally friendly processes, including sustainable circularity as a competitiveness source to keep the TAF sectors in the loop and reduce greenhouse gas emissions, may help address the problems associated with the COVID-19 pandemic in the sustainability context, as reported in this paper. © The Author(s) 2022.
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The proceedings contain 79 papers presendted at a virtual meeting. The special focus in this conference is on Recent Advances in Mechanical Engineering Research and Development. The topics include: Firmware of Indigenous and Custom-Built Flexible Robots for Indoor Assistance;Automation of AM Via IoT Towards Implementation of e-logistics in Supply Chain for Industry 4.0;Evaluation and Optimization of Process Parameter for Surface Roughness of 3D-Printed PETG Specimens Using Taguchi Method at Constant Printing Temperature;Evaluation of Preventive Activities of COVID-19 Using Multi-criteria Decision Making Method;mechanical Characterization of Concrete with Rice Husk-Based Biochar as Sustainable Cementitious Admixture;Ranking of Barriers for SSCM Implementation in Indian Textile Industries;Framework to Monitor Vehicular GHG Footprint;solution to Real-Time Problem in Shifter Knob Assembly at Automobile Manufacturing Industry;performance of Chemical Route-Synthesized SnO2 Nanoparticles;a Numerical Study to Choose the Best Model for a Bladeless Wind Turbine;Effect of Tissue Properties on the Efficacy of MA on Lungs;effect of Process Parameters and Coolant Application on Cutting Performance of Centrifugal Cast Single Point Cutting Tools;Study and Analysis of Thermal Barrier Application of Lanthanum Oxide Coated SS-304 Steel;recovery of Iron Values from Blast Furnace Gas Cleaning Process Sludge by Medium Intensity Magnetic Separation Method;fatigue Analysis of Rectangular Plate with a Circular Cut-Out;protection of Vital Facilities from the Threat of External Explosion Using D3o Material;investigation on Coefficient of Heat Transfer Through Impact of Engine Vibration;electrical Modulus and Conductivity Study of Styrene-Butadiene Rubber/Barium Hexaferrite Flexible Polymer Dielectrics;preface.
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Purpose>This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.Design/methodology/approach>This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.Findings>Active listening to customers can help drive eco-knowledge and the adoption of green and radical innovations.Originality/value>The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.