Issue 6 / 2024

Inner covers

Modelling the impact of tensile and shear forces during the loop-forming process in knitting

Authors: WAQAR IQBAL, YE-XIONG QI, YAMING JIANG
Pages: 671–675
DOI: 10.35530/IT.075.06.202249
Published online: December 2024

Abstract
Knitting is a dynamic process during which the yarn simultaneously receives several mechanical forces such as tensile, shear and bending, especially when the new loop is drawn out of the old one by the needle hook. Many researchers analysed the factors mainly focusing on the tension variation during loop formation but seldom studied the impact of shearing force during new loop formation in detail. This paper presents an innovative method that introduces the shearing force as an important factor in the theoretical calculation model of forces in an integrated manner to understand the effect of tensile and shearing forces during a new loop-forming stage. It proves that the impact of shearing force acting along the yarn’s cross-section is much more severe, which needs to be considered in the knitting machine design, knitting yarn selection and knitted products’ quality control.
Keywords: loop formation, tensile force, shearing force, modelling

Citation: Iqbal, W., Qi, Y.-X., Jiang, Y., Modelling the impact of tensile and shear forces during the loop-forming process in knitting, In: Industria Textila, 2024, 75, 6, 671–675,  http://doi.org/10.35530/IT.075.06.202249

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Article: Does supplier management matter for supply chain performance? Evidence from the textile industry

Authors: ASMA JAVED, QIAN LI, IKRAMUDDIN JUNEJO, FIZA ASHRAF MEMON, HASEEB-UR-REHMAN PAREKH, ZITA JULIA FODOR, MD BILLAL HOSSAIN
Pages 676–684 
DOI: 10.35530/IT.075.06.20243
Published online: December 2024

Abstract
This study examines the impact of long-term relationships and vendor-managed inventory on supply chain performance and the mediating role of information sharing in Pakistan’s textile industry. For testing the proposed hypotheses of the present study, the primary data was gathered with the help of a questionnaire from past studies via a convenience sampling strategy. Three hundred fifty questionnaires were distributed among the textile industry through the HR department of the concerned firm. However, only 330 cases were considered for data analysis after data clearing in SPSS version 25. Hence, the response rate is 94%. The data were analysed using SEM in Smart-PLS version 3. The results of hypothesis testing indicated the direct effect of long-term relationships and vendor-managed inventory, which was found to have a positive and significant impact on information sharing and supply chain performance in Pakistan’s textile industry. Furthermore, the mediating effect of information technology between long-term relationships and vendormanaged inventory revealed a partial mediation effect on supply chain performance. The policymakers and top management of concerned firms should consider these variables for future strategies to get better supply chain performance.
Keywords: supply chain performance, long-term relationship, information sharing, vendor-managed inventory, textile industry

Citation: Javed, A., Li, Q., Junejo, I., Ashraf Memon, F., Parekh, H.-U.-R., Fodor, Z.J., Hossain, M.B., Does supplier management matter for supply chain performance? Evidence from the textile industry, In: Industria Textila, 2024, 75, 6, 676–684,  http://doi.org/10.35530/IT.075.06.20243

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Article: Polydopamine nanocoating to use surface functionalization of polypropylene fabrics with a closed structure

Authors: ABDURRAHMAN TELLI, SAFIYE ARABACI
Pages 685–692 
DOI: 10.35530/IT.075.06.202471
Published online: December 2024

Abstract
In this study, an experimental investigation was conducted to explore polydopamine (PDA) nano-coating to use surface functionalization of polypropylene (PP) fabrics with a closed structure. Nanocoatings were made on polypropylene nonwoven fabric with the oxygen-induced polymerization method of dopamine (DA) at six different times. Uncoated control samples, coated samples and washed samples after coating were compared. A change in the solution towards a dark brown-black colour was observed during the experiment as the reaction time increased. Based on this finding, spectrophotometric measurements of samples were made. The lowest lightness and highest colour strength values were observed in fabric coated for 32 hours. In before and after washing SEM images, the formed nano-coating could be easily seen on this fabric (32 h). The nitrogen ratio indicating the presence of polydopamine was detected as 17.05%. After washing, it was observed that this high percentage decreased up to 1.35% but the nitrogen element was distributed homogeneously on the fabric surfaces from EDX mapping. FTIR analysis results confirmed that the PDA coating formed a bond with the polypropylene fabric and that these bonds continued after washing. Differently from uncoated fabric, extra bands and signals were observed in two different regions on the FTIR graph due to polydopamine. The results presented here may facilitate improvements in the surface activation of PP fabrics, which have a more closed structure for functionalization.
Keywords: polypropylene, polydopamine, nonwoven, nano-coating, oxygen-induced polymerization

Citation: Telli, A., Arabaci, S., Polydopamine nanocoating to use surface functionalization of polypropylene fabrics with a closed structure, In: Industria Textila, 2024, 75, 6, 685–692,  http://doi.org/10.35530/IT.075.06.202471


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Article: Improving sales performance management in textile and fashion companies: a case study of ASOS

Authors: DANICA LEČIĆ-CVETKOVIĆ, JASNA PETKOVIĆ, VLADIMIR BURAZOR, TEODORA RAJKOVIĆ, JOVANA MIHAJLOV
Pages 693–701 
DOI: 10.35530/IT.075.06.20249
Published online: December 2024

Abstract
Sales performance management is one of the key processes in companies from various industries. Improving business strategies through planning, analyzing, guiding and managing sales activities presents the overall aim of sales performance management for achieving companies’ strategic business goals. The main objective of the paper is to present the application of a set of key performance indicators for improving online sales performance management in the textile and fashion industry. The characteristics of traditional and online sales, and their comparative analysis in companies from the textile and fashion industry, are presented. Also, the possibilities of implementing modern sales methods, techniques and information and communication technologies for improving online sales performance management are presented. The defined set of key performance indicators is applied to the example of one of the leading companies in online sales in the textile and fashion industry, the company ASOS. Based on the results, it can be concluded that four of the sales performance values of the ASOS are at a satisfactory level, while three should be ameliorated by implementing some of the recommendations for improvement presented in the paper.
Keywords: textile and fashion industry, sales, management, key performance indicators, ASOS

Citation: Lečić-Cvetković, D., Petković, J., Burazor, V., Rajković, T., Mihajlov, J., Improving sales performance management in textile and fashion companies: a case study of ASOS, In: Industria Textila, 2024, 75, 6, 693–701,  http://doi.org/10.35530/IT.075.06.20249

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Article: Effect of alkali treatment on physical and mechanical properties of Cattail and Kenaf fibres

Authors: REZIG SANA, BEN MLIK YOSR, JAOUADI MOUNIR, KHOFFI FOUED, MSAHLI SLAH
Pages 702–709 
DOI: 10.35530/IT.075.06.202435
Published online: December 2024

Abstract
NaOH treatment is widely used for natural fibre extraction. However, the different treatment conditions produce fibres with other characteristics. The present work aims to study the effect of alkali treatment conditions on Kenaf bast and Cattail stem fibres’ properties. Two conditions at two different levels were selected. They are soaking time (2 and 4 hours) and alkali treatment temperature (80 and 120°C). Untreated Kenaf and Cattail fibres were used as control samples. The NaOH process occurred due to the decline in the fineness of Cattail and Kenaf fibres. SEM micrographs of treated fibres showed a clear surface with rectangular pits for Cattail fibres and dissociation of the technical fibre. Best tensile strength obtained for Kenaf fibres for 80°C and under 4 hours. However, a temperature of 120°C and a duration of 4 hours confirmed the best results in terms of lignin removal, proved by IR spectra. Also, X-ray diffractograms suggested that the crystallinity index increases with the highest conditions. The properties of Kenaf bast fibres are found to be superior to Cattail fibres. Characteristic ranges of Cattail and Kenaf fibres after alkaline treatment can be resumed respectively as the diameter of (205–496) and (66–162 μm), the linear density of (31–48) and (14–22 tex), tenacity of (6–8) and (13–17 cN/tex), elongation of (2.6–3.3) and (3–6.2%), lignin ratio of (20.7–23.7) and (15.13–22.6%), alpha-cellulose of (50.2–55.6) and (53–59%), and crystallinity of (43.9–58.6) and (55.4–66.3%). Findings showed that Kenaf bast fibres are found to be great resistant and thinner than Cattail fibres and compared to other fibres.
Keywords: Cattail fibre, Kenaf fibre, NaOH process, physical properties, mechanical properties

Citation: Sana, R., Yosr, B.M., Mounir, J., Foued, K., Slah, M., Effect of alkali treatment on physical and mechanical properties of Cattail and Kenaf fibres, In: Industria Textila, 2024, 75, 6, 702–709,  http://doi.org/10.35530/IT.075.06.202435

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Article: Assessing the quality level of the technical fabrics intended for protective equipment for firefighters by determining synthetic indicators

Authors: EMIL CONSTANTIN LOGHIN, IONUȚ DULGHERIU, LILIANA HRISTIAN, LILIANA BUHU, MANUELA AVADANEI, SAVIN DORIN IONESI
Pages 710–721 
DOI: 10.35530/IT.075.06.202465
Published online: December 2024

Abstract
The paper aims to highlight the quality level of technical fabrics by determining synthetic indicators based on durability and comfort functions, which can subsequently be used for modelling the physico-mechanical properties and selecting the most suitable fabrics to meet the requirements of a specific field of use. The study was conducted on two groups of technical fabrics with different compositions (Kevlar and Nomex), intended to manufacture firefighter protective equipment (jackets). Quality indicators represent numerical expressions of the quality level of a product or the relative expression of a certain characteristic, obtained by comparing it to a reference value (norm, standard, model). Quality indicators are converted into grades I ϵ [0,1], where conventionally, a grade of 0 represents an inadequate product/nonquality, and a grade of 1 represents a superior quality level. The synthetic indicators determined in this study express the quality level of a product through the prism of categories/subcategories of quality characteristics representative of evaluating the comfort and durability functions specific to the groups of fabrics intended for the manufacture of protective equipment. Based on the values obtained for the synthetic indicators, a ranking of fabric variants is made according to the importance of durability and comfort characteristics. Thus, optimal fabric variants from each group can be highlighted, and solutions for improving the quality level for other variants can be proposed.
Keywords: synthetic indicators, durability characteristics, comfort characteristics, Nomex fabrics, Kevlar fabrics

Citation: Loghin, E.C., Dulgheriu, I., Hristian, L., Buhu, L., Avădanei, M., Ionesi, S.D., Assessing the quality level of the technical fabrics intended for protective equipment for firefighters by determining synthetic indicators, In: Industria Textila, 2024, 75, 6, 710–721,   http://doi.org/10.35530/IT.075.06.202465

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Article: The durable hydrophobic and antibacterial polyester textile coating with ZnO/Zn(OH)2/starch/stearic acid composite

Authors: PHIPHOP NARAKAEW, SIWAT THUNGPRASERT, SAMROENG NARAKAEW, WIPANOOT BAISON, THEERAPORN PROMANAN, PAKORN SANTAKIJ, SUKEE SUKDEE, CHAINET CHANOGKUN, KANJANA RUTTANATEERAWICHIEN, APHIRUK CHAISENA, PIYAPORN KRACHODNOK
Pages 722–728 
DOI: 10.35530/IT.075.06.2023129
Published online: December 2024

Abstract
Herein, we prepare the antibacterial and hydrophobic polyester weaved textile using ammonium hydroxide (NH4OH) hydrolysis and dip-coating method which can be fabricated zinc oxide (ZnO)/zinc hydroxide Zn(OH)2)/starch/stearic acid (STA) composite on the textile surface. Phase identification, surface morphology, and chemistry of the composite were revealed by Raman spectroscopy and SEM/EDX techniques. The durable hydrophobic and antibacterial properties were investigated by water contact angle measuring, and against gram-negative Escherichia coli and gram-positive Staphylococcus aureus bacterium as per the colony count method according to the AATCC 100 antibacterial test method. Raman spectrum result shows the modified polyester textile sample surface, not only ZnO crystallized in the hexagonal wurtzite structure but also Zn(OH)2, starch, and STA composite is included. SEM images confirmed a smooth surface of the treated fibre before washing due to using STA as a second coating agent. Despite the composite being peeled out from the surface fibre after 5 washing cycles, the finished polyester woven textile is good durable waterrepellent. Moreover, good durable antibacterial activity against Staphylococcus aureus strains after 20 washing cycles. The colour differences and the whiteness index of the treated polyester textile after 20 repeated washing were not significantly changed.
Keywords: ZnO/Zn(OH)2/starch/STA composite, antibacterial activity, hydrophobic effects, coating, polyester textile

Citation: Narakaew, P., Thungprasert, S., Narakaew, S., Baison, W., Promanan, T., Santakij, P., Sukdee, S., Chanogkun, C., Ruttanateerawichien, K., Chaisena, A., Krachodnok, P., The durable hydrophobic and antibacterial polyester textile coating with ZnO/Zn(OH)2/starch/stearic acid composite, In: Industria Textila, 2024, 75, 6, 722–728,  http://doi.org/10.35530/IT.075.06.2023129

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Article: Clusters analysis in technical textiles and composite materials sector: a regional case study

Authors: MEHMET KARAHAN, ALİ ARI, NEVIN KARAHAN
Pages 729–741 
DOI: 10.35530/IT.075.06.202424
Published online: December 2024

Abstract
This study was carried out as a cluster analysis for the Technical Textile and Composite Materials Cluster in the Bursa region of Türkiye. The study seeks to establish a solid foundation for the initial phase of cluster development in Bursa and for future stages, particularly the formulation of the cluster strategy and execution plan. The study’s industrial scope encompasses technological textiles and composite materials due to Bursa’s advanced enterprises and robust infrastructure, which enable it to specialise in several areas and emerge as a global industry hub. Cluster analysis examines the components of the Diamond Model to establish a foundation for a strategic outlook on the future. The SWOT part provides a concise overview of the main concerns, followed by the concluding sections introducing the initial vision statement and important strategic areas for future actions.
Keywords: composite materials, technical textiles, clusters analysis, Bursa

Citation: Karahan, M., Ari, A., Karahan, N., Clusters analysis in technical textiles and composite materials sector: a regional case study, In: Industria Textila, 2024, 75, 6, 729–741,  http://doi.org/10.35530/IT.075.06.202424

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Article: Exploring the determinants of lean manufacturing adoption by textile enterprises in India: An investigation based on the latest World Bank Survey Data

Authors: MOHAMMAD ASIF, FIROZ ALAM, MOHD SHUAIB SIDDIQUI, UMME HANI
Pages 742–750 
DOI: 10.35530/IT.075.06.202425
Published online: December 2024

Abstract
The study aims to identify the factors affecting the adoption of lean manufacturing by textile enterprises in India using the latest World Bank’s Enterprises Survey (WBES) 2022 data of India. Three sets of variables namely enterprise characteristics, access to resources, which includes access to electricity, access to land and credit-line while in the last group, certification and competitive development are taken as explanatory variables of lean manufacturing adoption. The chi-square test is employed to investigate the significant association between firm profile and lean manufacturing adoption. Further, a logistic regression model has been applied to determine factors influencing lean manufacturing adoption. The estimates of logistic regression reveal that among firms’ characteristics only legal status, access to resources, credit from financial institutions and access to electricity and from the third set of explanatory variables, certification and upgraded machinery and equipment are identified as significant factors in the adoption of lean manufacturing by textile enterprises. The value of the study lies in analysing factors affecting the adoption of lean manufacturing in textile enterprises which is not explored in the case of developing countries like India using comprehensive World Enterprises Survey data.
Keywords: India, lean manufacturing, textile enterprises, world enterprises survey, waste minimization

Citation: Asif, M., Alam, F., Siddiqui, M.S., Hani, U., Exploring the determinants of lean manufacturing adoption by textile enterprises in India: An investigation based on the latest World Bank Survey Data, In: Industria Textila, 2024, 75, 6, 742–750,  http://doi.org/10.35530/IT.075.06.202425

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Article: Determination of the effects of knitted fabric sewing parameters on seam damage under multiaxial loading

Authors: EMINE ERYAZICI, ÖZGE URAL
Pages 751–759 
DOI: 10.35530/IT.075.06.202441
Published online: December 2024

Abstract
The body’s movement during use exposes garments to tension and stress in different directions. To set the sewing parameters for clothing made of knitted fabrics, especially those commonly used for daily wear and sports, the damage caused by the seams to the fabric under multiaxial loading should be examined when determining sewing performance. This study examined the impact of sewing parameters on damage to knitted fabrics under multiaxial loading to identify the factors affecting sewing quality and performance. For this purpose, to perform the sewing damage tests, the single jersey, Pique, and interlock fabrics in three colours (white, red, and black) were cut into 30×30 cm-sized swatches. Samples were sewn parallel to the loop bar (lengthwise) and the fabric’s loop line (widthwise) using two different stitch lengths, four needle sizes and four stitch types. A total of 576 samples were subjected to stress and strain on a seam damage testing apparatus as per DIN standard 53 882. Following the tests, the samples were examined under a microscope, and images were taken. The resulting data was analysed using the SPSS 26.0 statistical program. The Pearson Chi-squared and Fisher Exact Test were used to compare qualitative data. According to the test results determined that more significant seam damage occurred along the lengthwise samples of the fabric than the widthwise for all three fabric types. The study found that as damage increased with needle size, stitch type affected sewing damage, with the lockstitch causing minor damage, and fabric colour and stitch length had no impact on sewing damage.
Keywords: knit fabrics, multiaxial loading seam damage, sewing parameters, textile

Citation: Eryazici, E., Ural, Ö., Determination of the effects of knitted fabric sewing parameters on seam damage under multiaxial loading, In: Industria Textila, 2024, 75, 6, 751–759,  http://doi.org/10.35530/IT.075.06.202441

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Article: Analysis and classification of footwear line drawings: research on fashion attributes using computer vision algorithms

Authors: LI JINGJING, ZHAO YEBAO, KEYU HOU, ZHOU JIN
Pages 760–767 
DOI: 10.35530/IT.075.06.2023127
Published online: December 2024

Abstract
With the rapid evolution of fashion trends and consumer preferences, the imperative for agility in footwear design has become increasingly pronounced. Central to the design process was the criticality of shoe line drawings, the burgeoning advancements in computer vision and deep learning technologies have engendered a wealth of research in fashion element recognition. Regrettably, the application of such advancements to footwear remains relatively underexplored. This study introduces a novel computer vision system tailored to discern and categorise footwear line drawings. The methodology entails the preliminary training of Mask R-CNN for shoe body extraction from footwear imagery, followed by applying the PIDINet edge detection algorithm for line drawing delineation, culminating in utilising a classification model for line drawing. Encouragingly, our findings evince the system’s adeptness in successful line drawing extraction and classification, particularly demonstrating heightened accuracy in differentiating distinct styles such as nude shoes, boots, and slippers characterized by salient outline features. This pioneering endeavour not only addresses a gap in footwear element recognition research but also circumvents the need for an extensive footwear database for algorithmic training. The anticipated automation of algorithmic footwear line drawing recognition holds promise for enhancing operational efficiency and innovation, fostering sustainable advancements in fashion research.
Keywords: footwear, computer vision, line drawing, fashion attribute, classification

Citation: Jingjing, L., Yebao, Z., Hou, K., Jin, Z., Analysis and classification of footwear line drawings: research on fashion attributes using computer vision algorithms, In: Industria Textila, 2024, 75, 6, 760–767,  http://doi.org/10.35530/IT.075.06.2023127

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Article: Impact of taker-in speed on the characteristics of ring-spun yarn

Authors: ABILDA YESHZHANOV, RAMAZAN ERDEM, GULZHAN MURZABAYEVA, SANJAR TOJIMIRZAEV, AKBOTA BATYRKULOVA, RASHID KALDYBAEV, ASSEL ZHAMBYLBAY
Pages 768–774 
DOI: 10.35530/IT.075.06.2023135
Published online: December 2024

Abstract
In this study, experiments were carried out to determine to what extent the card sliver and final yarn quality were alteredby a gradual increment in the speed of the taker-in roller on the carding machine. The speeds of the taker-in roller havebeen determined as 1200 rpm, 1400 rpm and 1600 rpm, respectively. The operating parameters of the carding machineand other equipment in the yarn production line were kept constant. Fibre breakage, neps removal efficiency, and defectindex of samples have been measured by the AFIS PRO2 laboratory instrument. The characteristics of ring spun yarn(17.35 tex) were tested on a Uster Tester-5 (UT-5) laboratory device. Research results revealed that the enhancementof taker-in speed led to increased fibre breakage due to the greater impact force on the cotton fibre. This elevates thenumber of short fibres in the material and also negatively affects the final yarn properties including unevenness (U%),imperfection index (IPI), ultimate yarn strength (cN/tex), and hairiness index (H-value).
Keywords: ring spinning, carding, taker-in speed, sliver, yarn properties

Citation: Yeshzhanov, A., Erdem, R., Murzabayeva, G., Tojimirzaev, S., Batyrkulova, A., Kaldybaev, R., Zhambylbay, A., Impact of taker-in speed on the characteristics of ring-spun yarn, In: Industria Textila, 2024, 75, 6, 768–774,  http://doi.org/10.35530/IT.075.06.2023135

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Article: Second-hand clothing classification algorithm based on feature fusion and attention

Authors: TING CHENG, YUN ZHANG, WEIBO LI, JUNJIE ZHANG
Pages 775–782 
DOI: 10.35530/IT.075.06.2023139
Published online: December 2024

Abstract
This study suggests a second-hand clothing categorization method based on enhanced residual networks to enhance the effect of second-hand clothing retrieval and encourage clothing transactions on second-hand platforms. This study first gathers image data on used garments. Web crawlers are utilized to gather internet photos of second-hand clothes to train the network model, while camera equipment is used to take pictures of second-hand clothing. The resulting images are then used to assess the network model’s categorization accuracy. The next step is to construct a classification model based on ResNet50, add an attention mechanism, and carry out feature extraction in stages. Finally, the developed classification model’s performance is assessed and contrasted with other approaches. The experimental findings demonstrate that this strategy outperforms previous methods in terms of classification accuracy on the self-built dataset and DeepFashion dataset, reaching 79.69% and 82.22%, respectively. Additionally, the sorting and recycling of used clothing is greatly assisted by this method.
Keywords: clothing image classification, second-hand clothing, residual network, attention mechanism, feature extraction

Citation: Cheng, T., Zhang, Y., Li, W., Zhang, J., Second-hand clothing classification algorithm based on feature fusion and attention, In: Industria Textila, 2024, 75, 6, 775–782,  http://doi.org/10.35530/IT.075.06.2023139

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Article: Effect of walking speed on the evaporation coefficient of defence workwear

Author: ALFALEH AYMAN
Pages 783–789 
DOI: 10.35530/IT.075.06.202416
Published online: December 2024

Abstract
The ripstop fabrics are highly appreciated in the military and defence workwear. One of the qualities requirements in defence clothing is quick evaporation. The effect of the wearer’s walking speed on textile fabric evaporation during capillary rise was investigated in this study. To achieve this, two steps were taken: modelling the capillary considering evaporation and estimating the coefficient of evaporation using a program designed for image analysis. The walking speed was simulated by varying the air velocity from 0 m/s (non-walking) to 1 m/s (walking) and 2 m/s (running). Results conclusively demonstrated that the evaporation coefficient is directly relational to the water vapour in the surrounding air layer and is highly dependent on the aeration rate. Furthermore, liquid equilibrium front level and capillary diffusion were found to be inversely proportional to the walking speed. The walking speeds affected the indirect water amount on the fabrics and it was more difficult to evaporate liquid from the 100% cotton compared to 65% polyester/35% cotton.
Keywords: walking speed, evaporation coefficient, ripstop fabric, comfort

Citation: Ayman, A., Effect of walking speed on the evaporation coefficient of defence workwear, In: Industria Textila, 2024, 75, 6, 783–789,  http://doi.org/10.35530/IT.075.06.202416

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Article: Sectoral analysis of textile and composite industries for value-added manufacturing: a regional study

Authors: MEHMET KARAHAN, ALİ ARI, AHRARİ MAZYAR
Pages 790–798 
DOI: 10.35530/IT.075.06.202431
Published online: December 2024

Abstract
This study aims to determine the main competitive features of the textile and composite industry in the Bursa region, the centre of Türkiye’s composite and technical textile production, analyse its development, and define, evaluate, and explore how it can be transformed into value-added elements to increase its efficiency. Adding value to textiles and composites using these competitiveness traits is key to the industry’s continued development and prosperity. Valueadded products’ unique qualities, capabilities, and benefits set them apart from commodity items. The study determined that traditional textile producers would face the most difficulties in the transformation. Textile companies whose technical textile production is below 50% of their total production make up the second group. Companies producing composite materials stated that Research and Development opportunities and quality and technical competence are the two biggest challenges. However, companies producing composite materials are considering transforming their applications in the fields of automotive, renewable energy, defence industry, aviation, and space. As a result, organizations wishing to succeed in the highly competitive and ever-changing composites market must prioritize various aspects of competitiveness.
Keywords: composite materials, technical textiles, competitiveness, Bursa

Citation: Karahan, M., Ari, A., Mazyar, A., Sectoral analysis of textile and composite industries for value-added manufacturing: a regional study, In: Industria Textila, 2024, 75, 6, 790–798,  http://doi.org/10.35530/IT.075.06.202431

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