Textile Sector Research Articles

Mekanik Tahrikli Rastgele Kısa Desen Yapan Makine Prototipi

One of the important producers of the industrial industry in our country is the textile sector. The importance of the textile industry for our country is growing day by day with increasing production and employment. In order to keep up with this growth, manufacturers need to go beyond their existing systems, show their differences and make the right innovations in their production. Considering these values, changes to be made in the yarn structure or dyeing process come to the fore. In this study, the dyeing process is discussed. Weaving and home textiles, which are an important part of the textile industry, have a wide market. There are different dyeing systems that have an important market for the products made in these areas. Spaced and smart painting, which are among these painting systems, do not meet the needs in the desired direction. A new machine design is needed to provide the desired features. In the study conducted in this direction; A commercially unavailable machine has been implemented, designed and manufactured to generate random short patterns with mechanical drive. In project scope; First of all , the paint stand to be integrated into the system was designed . Different yarn lifters and godet systems have been designed. Paint container, drive system and electronic panel are also mounted on the system. In addition, new software has been developed within the scope of the project to provide automatic control of the system. Studies were carried out with PLC and Arduino electronic circuit board. In the first stage, motor driver circuits were designed with PLC and Arduino. Then, with the software loaded on the PLC and Arduino processor board, the frequency values to be given to the inverter were started by changing the threshold ranges we wanted. Lifters and painting cylinders are connected to each other so that the same sequence is not repeated. Thus, in this study carried out in line with the needs, both a new machine and a new textile product with different dye patterns emerged.

Enzymatic easing of adhesion in honeydew-contaminated cotton for textile applications

Purpose The textile sector struggles with cotton stickiness from honeydew contamination. It hurts agriculture and marketability. This study aims to examine how bacterial enzymes could reduce honeydew-contaminated cotton adherence in textile businesses sustainably. Design/methodology/approach Enzyme was extracted from bacteria isolated from the fermented bamboo shoots “Lung siej”. The enzyme was tested for α-glucosidase using p-nitrophenyl-α-D-glucopyranoside as a substrate. Design of experiments determined enzyme activity temperature and reaction time. Laboratory-prepared artificial honeydew was added to ginning mill cotton to show honeydew contamination. After enzyme treatment, sticky cotton was tested for microscopic examination, ultraviolet (UV), Benedict’s, Elsner colorimetric, high volume instrument (HVI) and viscosity tests. Findings The bacterial isolate is characterized as Lysinibacillus sp. as confirmed by 16S rRNA gene sequencing. The enzyme extracted was identified as α-glucosidase. The ideal temperature and reaction time for enzymatic activity were 32 °C and 35 min, respectively, using central composite design. The microscopic examination, UV test, Benedict’s test, Elsner colorimetric test, HVI test and viscosity test showed that bacterial enzyme treatment reduced cotton fiber adherence. Originality/value Although few patents have examined the effect of yeast enzymes, to the best of the authors’ knowledge, a bacterial enzyme is investigated for the first time to reduce the adhesion of honeydew-contaminated cotton.

Mandatory adoption of technology: Can UTAUT2 model capture managers behavioral intention?

In Bangladeshi ready-made garment (RMG) and textile sectors, technology-driven compliance standards are primarily imported directly from foreign buyers' corporate social responsibility (CSR) where managers do not have enough scope of involvement, engagement, or active authority. They neither have selection freedom nor adoption willingness. The aim of this exploratory research is to understand managers' perceptions around accepting these imposed technology-driven compliance standards in the name of safety through an empirical study of the RMG sector in Bangladesh. We have used the extended framework of the unified theory of acceptance and use of technology (UTAUT2) model with certain modifications. After analyzing data through structural equation modeling (SEM), a modified theoretical framework was revealed to capture managers' behavioral intention toward a complex technological system that does not automatically arise from self-willingness; rather it is mandatory acceptance. Based on this knowledge, we recommend that the UTAUT2 model be extended and revised to capture this kind of mandatory adoption of technology. The findings of this research can provide deep and effective knowledge and experience to international buyers in the RMG sector, global supply chain members, RMG factory owners, and government policymakers.

The analysis of critical success factors for successful kaizen implementation during the COVID-19 pandemic: a textile industry case study

PurposeThe primary objective of this research is to determine critical success factors (CSFs) that enable textile enterprises to effectively implement Kaizen, a Japanese concept of continuous development, particularly during disruptive situations. The study aims to provide insights into how Kaizen is specifically employed within the textile sector and to offer guidance for addressing future crises.Design/methodology/approachThis study employs a structured approach to determine CSFs for successful Kaizen implementation in the textile industry. The Triple Helix Actors structure, comprising business, academia and government representatives, is utilized to uncover essential insights. Additionally, the Matriced Impacts Croises-Multiplication Applique and Classement (MICMAC) analysis and interpretative structural modeling (ISM) techniques are applied to evaluate the influence of CSFs.FindingsThe research identifies 17 CSFs for successful Kaizen implementation in the textile industry through a comprehensive literature review and expert input. These factors are organized into a hierarchical structure with 5 distinct levels. Additionally, the application of the MICMAC analysis reveals three clusters of CSFs: linkage, dependent and independent, highlighting their interdependencies and impact.Originality/valueMajor contribution of this study is understanding how Kaizen can be effectively utilized in the textile industry, especially during disruptive events. The combination of the Triple Helix Actors structure, MICMAC analysis and ISM provides a unique perspective on the essential factors driving successful Kaizen implementation. The identification of CSFs and their categorization into clusters offer valuable insights for practitioners, policymakers and academia seeking to enhance the resilience and sustainability of the textile industry.

Luminescence and photocatalytic degradation of indigo carmine in the presence of Sm3+doped ZnS nanoparticles

Industrial wastewater discharge is well acknowledged to constitute a significant environmental and public health risk. In addition, synthetic dyes used in the textile sector are major culprits in water pollution. The amount of water polluted by these dyes is simply staggering. We urgently address this issue to protect our planet and health. The degradation of indigo carmine dye in the presence of Sm3+-doped ZnS nanoparticles is reported in this study and characterized by XRD, FTIR, SEM, EDX, TEM, BET, PL, UV, etc. The particle size calculated from the Scherrer equation was 3–12 nm. When excited at 395 nm, Sm3+ undergoes f–f transitions, which are visible as prominent peaks in the photoluminescence spectrum at 559, 595, and 642 nm wavelengths. The catalyst showed vigorous catalytic activity for dye degradation, with a 93% degradation rate when used at 15 mg/L catalyst within 210 min. The reaction was found to have pseudo-first-order kinetics. After applying the Freundlich and Langmuir data, the Langmuir isotherm offered the best fit. The findings indicate that the Sm3+-doped ZnS catalyst might be successfully used in the degradation of dyes present in the environment. Doping with Sm3+ ions can significantly change the photocatalytic breakdown of indigo carmine and the luminescence characteristics of ZnS.

Processes of sustainability transformation across systems scales: leveraging systemic change in the textile sector

Sustainability research emphasizes the importance of intervening with both individual and organizational behaviours as well as the systems that shape them to create sustainability transformations. However, to date there is a lack of studies that bridge the divide between small case-based interventions and global systems at broader scales, and the complex interactions across scales and processes. This paper works with a leverage points framework to consider systems transformation. It focuses on four individual sustainability interventions in the textile sector and explores how they are embedded within a complex set of nested systems, and how these connected systems shape the transformative potential of the interventions. By using an onion metaphor for systems with several onion layers representing the current textile sector and its multiple connected and nested systems, we integrate and reflect across four in-depth case studies, conducted over a period of 3 years, using a range of empirical research approaches. The findings show that the studied interventions all target multiple deep leverage points within their target systems of production and consumption. All are limited in fulfilling their transformative potential by a range of barriers that we trace back to the economic and policy and regulation systems that they are embedded within. The economic system enforces a paradigm of consumption-based growth, and the policy and regulation system fails to either support change, or restrict unsustainable behaviours. Our findings demonstrate the need to think across systems scales to understand leverage points and transformative change; our nested systems approach is one way to do so. We outline two promising pathways for sustainability transformations: (1) focussing on how to create spillover effects of favourable interventions in sub-systems to push outwards against the constraints of the current policy and regulation, and economic systems; and (2) by targeting actors and interventions within the policy and regulation and economic systems to create change in the paradigms and design they embody and enforce on the systems nested within them.

Kinetic Study of the Removal of Reafix Yellow B8G Dye by Boiler Ash

The textile sector has great relevance in the Brazilian socioeconomic context, generating large volumes of effluents of varied composition, with dyes being one of the most worrying contaminants due to their characteristics of high solubility, harmfulness and low degradability. Among them the Reafix Yellow B8G (ARB8G) dye has an azo nature, harmful to organisms in the aquatic environment. According to Brazilian laws, it is recommended to dispose of waste through incineration or landfill, due to its resistance to biodegradation. One of the methods for treating effluents is the adsorption of contaminants using materials with adsorption capacity, such as residue from the burning of biomass in boilers (ash). The general objective of this work was to evaluate the adsorption kinetics by contact time of the ARB8G dye by boiler ash. The test was based on mixing the adsorbent material with a dye solution at 75 mg.L-1, at constant temperature and stirring at different time intervals. To quantify the amount of adsorbed dye, the UV-Vis spectrometry method was used. The kinetic test indicated an equilibrium time of 30 minutes, with 100% removal under the tested conditions. From this result and considering that boiler residue is an underutilized and low-cost material, it is concluded that this substance has significant potential to be applied as an alternative material for the treatment of effluents containing dyes.

PHYSICAL PROPERTIES CORRESPONDING TO COMFORT FEEL OF BEDDING FABRICS

The market for bedding products in Thailand now offers a wide range of physical attributes (fiber types, structures, fabric densities, thicknesses, and weights) that produce a variety of tactile sensations and comfort qualities. This study investigated the comfort properties of bedding fabrics in Thailand. Twenty-one bedding fabric samples were collected and measured for their mechanical and surface properties based on the Kawabata evaluation system for fabric (KES-F) as well as the horizontal wicking test and abrasion resistance, air permeability, wrinkle recovery, and thermal resistance (Qmax). The primary hand value (HV) and total hand value (THV) were calculated using the Kawabata hand evaluation equation KN-201-LDY describing women's thin dress fabric, using 5 different properties from the KES-F (tensile, shear, bending, compression, and surface friction). The principle component analysis (PCA) and cluster analysis of the physical properties of fabric samples showed that the samples could be placed in 4 groups. The first group was mostly cotton woven samples. The second group consisted of 2 samples that were both knitted, while the third group was mostly mixed (M) fabric samples. The last group contained cotton and M cotton samples. The first cluster was considered to provide the best hand-feel characteristics of all 4 clusters, while the second cluster was considered the least desirable based on hand-feel. The findings of this study should assist the bedding textile sector in developing new products.

RANCANG BANGUN APLIKASI PERSEDIAAN KAIN BERBASIS WEBDENGAN METODE REORDER POINT (ROP) DI DEPARTEMEN KREATIF PT. INDO PACIFIC

: PT. Indo Pacific is a private company operating in the textile sector, where in the creative department of PT. Indo Pacific requires inventory data on goods allocated for fabric inventory which is useful for controlling the company's existing fabric inventory. The inventory system in a company plays an important role because inventory can simplify or expedite work in managing stock data. The data collection system in the creative department still uses handwriting so that the data reports presented are very ineffective and require quite a long time to complete, and there is often a buildup and reduction in stock of fabric that runs out and is not known to employees. Therefore, we need a web-based data processing application with the Reorder Point method which is expected to facilitate fabric data collection in the creative department. And this application was built using the Reorder Point (ROP) method with a feature of displaying stock quantities less than 10 meters or yards which functions to prevent shortages of fabric which could cause delays in fulfilling customer requests. designing an application using UML (Unified Modeling Language) and research methods using the SDLC waterfall method. The final result of this research is the development of a fabric inventory data collection application in the creative department of PT. Indo Pacific.

A conceptual framework for the operations planning of the textile supply chains: Insights for sustainable and smart planning in uncertain and dynamic contexts

Recent practices in textile supply chains (SC) show a growing concern for sustainability not only in its economic dimension, but fundamentally in its environmental and social ones. One of the key management processes that affect sustainability is the SC operations planning since its fundamental role in achieving a balance between supply and demand in a sustainable manner. Moreover, in an uncertain and dynamic environment such as the textile sector, it is necessary to provide a certain learning capability to the operations planning techniques used to increase the speed and quality of response of the textile SC to unexpected situations. In this context, mathematical programming models, heuristics and artificial intelligence techniques have proven their validity to achieve sustainable, robust and smart supply chains. Despite their potential, neither a conceptual framework (CF) nor a literature review have been detected to support the development and study of such models in the textile supply chain operations planning. In view of these gaps, this paper proposes a CF for supporting the sustainable and smart operations planning of the textile supply chains in a dynamic and uncertain context based on a set of dimensions, categories and elements that reflect the specific characteristics of the textile sector. Firstly, a tentative CF is predefined based on other generic works on SC operations planning in uncertain context and the own authors’ knowledge. Secondly, a structured literature review based on this CF has been made resulting, at the same time, in the updating of some of its dimensions, categories and elements to reflect some textile specific characteristics. Consequently, the CF is not only predefined but also logically derived from the literature analysis. The results of the literature review show that there is a great opportunity to contribute to making textile supply chains more sustainable, smart, flexible, robust and resilient in dynamic and uncertain environments.

The adoption of I4.0 technologies for a sustainable and circular supply chain: an industry‐based SEM analysis from the textile sector

AbstractCurrently, researchers have been particularly interested in Industry 4.0 (I4.0) as a combination of novel revolutionary digital technologies. This evolution is transforming how organizations operate to promote sustainable and circular practices. Consequently, this research empirically investigates the capabilities of I4.0 adoption to establish a sustainable and circular supply chain. The study investigates the impact of organizational factors on the deployment of I4.0 technologies to achieve sustainability objectives. Furthermore, this approach combines empirical and qualitative analyses within a methodological framework to investigate the relationship between organizational factors, I4.0 adoption, sustainable, and circular practices. In this context, survey responses have been collected from 323 supply chain professionals in the textile sector in Morocco. Consequently, employing structural equation modeling, our results reveal a strong link between I4.0 adoption and the promotion of circular and sustainable approaches. The study finds a positive association between I4.0 adoption, technological readiness, and environmental responsiveness while highlighting the challenges posed by organizational practices on I4.0 implementation in developing countries. This research contributes to the theoretical foundations of the potential influence of I4.0 technologies, and it provides practical contributions for stakeholders to effectively embrace I4.0 technologies and thereby drive more sustainable and efficient practices.

Integrated Lean-BPM Model to Increase OrderFulfillment in MYPES in the Textile Sector

Integrated Lean-BPM Model to Increase OrderFulfillment in MYPES in the Textile Sector

The Effect of Textile Sector Employee Satisfaction on Organizational Commitment: Bartın Province Example

Çalışma hayatında etkisi bulunan konulardan biri, örgütsel bağlılık ve çalışan memnuniyeti arasındaki ilişkidir. Bu çalışma çalışan memnuniyeti ve örgütsel bağlılık arasındaki ilişkiyi incelemek amacıyla yapılmıştır. Örgütsel bağlılık, duygusal bağlılık, devam bağlılığı ve ahlaki bağlılık boyutuyla ele alınmıştır. Araştırmada kullanılmak üzere örgütsel bağlılık ve çalışan memnuniyeti olmak üzere, iki ölçekli anket formu oluşturulmuştur. Anket formu, demografik bilgiler, devam bağlılığı, duygusal bağlılık ve ahlaki bağlılık ile çalışan tatmini boyutlarının ölçülmesi hedefiyle kullanılmıştır. Araştırma evreni olarak, Bartın ilinde tekstil sektöründe faaliyet gösteren firma çalışanları tercih edilmiştir. Araştırmada kolayda örnekleme yoluyla 264 çalışana ulaşılmıştır. Amaç doğrultusunda toplanan veriler SPSS ve AMOS istatistik yazılımları ile analiz edilmiştir. Araştırmada frekans analizi, korelasyon analizi, regresyon analizi ve doğrulayıcı faktör analizi sonuçlarına yer verilmiştir. Analizler sonucunda çalışan memnuniyetinin örgütsel bağlılık üzerinde etkisi olduğu sonucunda ulaşılmıştır. Sektör yöneticilerine çalışan memnuniyetini ve örgütsel bağlılığı artırıcı öneriler sunulmuştur.

A fuzzy multi-criteria model with Pareto analysis for prioritizing sustainable supply chain barriers in the textile industry: Evidence from an emerging economy

The textile industry supply chains (SC) face numerous risks and disruptions due to the changing dynamics of high demand and limited resources. The impact of epidemics and regional conflicts further complicates global business operations, especially in emerging economies. In this context, the textile sector in these economies must prioritize Sustainable Supply Chain Management (SSCM) to achieve cost reduction, enhance productivity, and improve profitability to sustain their business. Although research has examined several SSCM viewpoints, the barriers that prevent emerging economies from adopting SSCM in the textile sector to meet the Sustainable Development Goals (SDGs) are not sufficiently highlighted in the empirical literature that has already been published. This study analyzes different barriers and investigates how they are interconnected. From the literature research, 17 main barriers were first identified in the process. The barriers were then prioritized in order of significance using a combination of fuzzy theory, Pareto analysis, and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) framework. Finally, the cause-and-effect relationships among these barriers were established. A lack of commitment from the supplier's top management, insufficient financial incentives, and the absence of supportive government standards and regulations were identified as the three topmost significant barriers to SSCM adoption. For the textile sector, governments, and policymakers in emerging economies, the study's results are helpful since they will assist them create mitigation strategies to get rid of these barriers and achieve long-term sustainability.

Exploration of motif patterns using the space-time-plane system and flat design stylization with La Galigo epic inspiration

The development of storytelling motifs is enhanced through the Space-Time-Plane (STP) system, a drawing technique that integrates Image Way and Grammar principles. This system adeptly represents spatial and temporal dimensions, facilitating the creation of illustrative storytelling. Its application extends to translating images into meaning and vice versa, showcasing its impact on the textile sector. Notably, it drives the evolution of non-repetitive motif compositions embodying story concepts presented with flat design styling. Despite its successes, applying the STP system to motif development poses challenges, particularly when incorporating motifs into product patterns, leading to story truncation. Conversely, the non-repetitive motif composition using the STP system ensures the entire narrative is encapsulated in a single image, preventing any intersection of motifs. Motif development with the STP system draws inspiration mainly from modern sources despite its closer connection to traditional Indonesian art, particularly heroic stories like the epic La Galigo. While developments inspired by heroic narratives, including La Galigo, exist, their visualization remains confined to single-image models. The primary aim of this research is to generate an inspirational motif rooted in Indonesian traditional art, specifically the La Galigo epic. This is achieved through the utilization of the STP system, flat design styling, and repetitive composition or repeated illustration models. Employing an exploratory method, the research culminates in a repetitive motif composition, providing an alternative resolution to the issue of truncated motifs in non-repetitive composition models. The study aspires to contribute significantly to research focused on enriching the application of the STP system in visualizing stories through the manipulation of textile motif compositions.

THE EFFECT OF ECONOMIZER APPLICATION ON ENERGY ECONOMY IN STENTER MACHINES USED

This study investigates the impact of economizer application on reducing energy consumption in the textile industry. It starts by analyzing the influence of traditional drying methods on both energy usage and operational costs. Next, it explains the operation of ramie machines and economizer technology. The primary focus is on the contributions of economizer application to energy efficiency. This includes highlighting the reduction in energy consumption and cost savings in operations. The study also underscores the importance of economizer application for environmental sustainability by helping to reduce greenhouse gas emissions. Furthermore, it discusses the investment cost and payback period of economizers, emphasizing how they can enhance a company's economic competitiveness. Real-world examples and success stories are provided to demonstrate the practicality of implementing economizers. In conclusion, this research underscores the significance and potential of economizer applications in improving energy economics within the textile sector. This technology not only enables energy savings but also contributes to environmental sustainability, supporting the creation of a more sustainable future in the textile industry. It also compares the energy consumption of a single-pass ramie machine with and without economizer use, assuming a 24-hour daily operation for 300 days, while thoroughly evaluating the associated advantages and disadvantages.

Evaluating the Effect of Tariff and Non-tariff Barriers on Exports in the Pre and Post China-Pak Free Trade Agreement (FTA) Period

Low trading costs, more significant consumer markets, and favourable economic ties between China and Pakistan provide a strong rationale for bilateral trade. Both countries have signed several bilateral trade agreements to boost mutual trade since 1963. The agreement that marked the beginning of a new era of cooperation between two trading partners and paved the way for free trade agreements was the Early Harvest Program (EHP), implemented in 2006. The first China-Pakistan Free Trade Agreement (CPFTA) was signed in November 2006 and became operational in 2007. CPFTA aimed to remove tariff and non-tariff barriers, enhance the comparative value of exports, and increase exportable surplus mainly through technical and financial cooperation. The paper critically evaluates the impact of tariff and non-tariff barriers on Pakistan’s key exports in the pre- and post-CPFTA period. Further, the study quantifies the impact of non-tariff barriers using quantitative techniques of restrictiveness index, converge ratio, and frequency index with 4-digit H.S. code industry-level data. The analysis reveals that China imposed a relatively high tariff rate on Pakistan's top five exports compared to China's other FTA partner countries. The results about the effect of non-tariff barriers (NTBs) show that exports related to cereals, edible fruits, and textile sectors are highly covered under Sanitary and Phytosanitary (SPS) and technical barriers to trade (TBT) despite FTA. Our findings have substantial implications for sustained trade ties between China and Pakistan.

Unravelling the Challenges in Cotton Processing Industries: A Comprehensive Constraint Analysis

The textile industry is one of India's oldest industries and has been there for a long time. Cotton has a major economic influence in India, where it is mostly used in the textile sector. One of the most often produced and exported items from India is cotton yarn. The goal of the current study is to examine and record the challenges faced by the cotton processing units along the value chain of the crop. The study was conducted in Adilabad and Nalgonda districts of Telangana state. The required data was gathered from a sample size of 10 ginning mills, 10 spinning mills, 10 weaving mills, one dyeing and printing mill and one garment manufacturing unit, using well-structured and pretested schedule by personal interview method. To analyze the collected data Garrett ranking methodology was employed. The research found that, higher cost of machinery, higher rate of interest, exorbitant prices of raw material, underutilization of installed capacity, higher working capital requirement, shortage of electricity, lack of technical human resource, competition from the big and organized sector and lack of marketing cooperatives were the major problem faced by the different processing units of cotton. Therefore, the study suggests that the government provide subsidies for the purchase of machinery, at least for small-scale businesses, impart training to the youth and establishment of marketing cooperative at every successive stage of the cotton processing in order to make the processing units more competitive in business.

Assessing the potential of GHG emissions for the textile sector: A baseline study

The carbon footprint (CFP) is a measure of greenhouse gases (GHGs) emitted throughout the lifecycle of a product or activity, while the energy footprint (EFP) and water footprint (WFP) measure energy and water consumption, respectively. These footprints are essential for managing emissions and consumption and promoting low-carbon consumption. A carbon labeling scheme could help consumers make informed choices. Asia is a major textile producer and consumer, so studying textiles' carbon, energy, and water footprints is essential for managing domestic emissions, energy and water consumption, and international trade negotiations. This paper presents a method and framework for assessing CFP, EFP, and WFP at the product level and calculates the footprints for textile products. The results show that the total CFP of all textile products produced is 42,624.12 MT CO2e, with indirect emissions contributing significantly more than direct emissions. The total EFP is 248.38 PJ, with electricity consumption being the main contributor, while the total WFP is 80.71 billion liters. The spinning stage of production has the highest CFP and EFP, and energy consumption is the main contributor to all footprints. These results can help compare different products and reduce the footprints of the textile sector.

Systematic Insights into a Textile Industry: Reviewing Life Cycle Assessment and Eco-Design

The worldwide textile sector is one of the most polluting and consuming natural resource value chains. In recent years, trends have demonstrated a linear model driven by fast fashion, increasing the sustainability problems of this sector. The European market and industry are changing the paradigm and promoting some actions towards a sustainable value chain. This paper applies a systematic approach to reviewing scientific research, where Life Cycle Assessment (LCA) is implemented as a tool to understand the impacts considering a holistic life cycle framework, from raw materials to the end-of-life of textile products. The methodology and criteria applied resulted in 73 articles used for qualitative analysis, of which 39 met the criteria for quantitative analysis. The quantitative results reported in the studies were organized and presented by phase of the garment production life cycle (production of fiber, yarn, fabric, manufacturing, and recovery/end of life). From a cradle-to-gate perspective, wool yarn production, by worsted processing, was the material with the highest values (95.70 kg CO2 eq/kg) for climate change/global warming potential, closely followed by silk fabric (80.90 kg CO2 eq/kg). Extending to a cradle-to-grave boundary, polyester had the highest values for the previously mentioned category, reaching a potential release of 40.28 kg CO2 eq per kilogram of polyester textile. When data was available, the user phase predominantly contributed to climate change/global warming potential. Additionally, there were significant differences in maximum and minimum values for some of the materials, which were related to methodological considerations, database inventory, and frequency of use and care considered by the different authors. The study also addresses the considerations and limitations of diverse LCA impact assessment tools.