Relevant bibliographies by topics / Defects of garments

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Defects of garments'

Author: Grafiati
Published: 3 June 2025
Last updated: 13 July 2025

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Journal articles on the topic "Defects of garments"

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Mathew, Dennise, and N. C. Brintha. "Deep-GD: Deep Learning based Automatic Garment Defect Detection and Type Classification." International Journal of Electrical and Electronics Research 12, no. 1 (2024): 41–47. http://dx.doi.org/10.37391/ijeer.120107.

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Garment defect detection has been successfully implemented in the quality quick response system for textile manufacturing automation. Defects in the production of textiles waste a lot of resources and reduce the quality of the finished goods. It is challenging to detect garment defects automatically because of the complexity of images and variety of patterns in textiles. This study presented a novel deep learning-based Garment defect detection framework named as Deep-GD model for sequentially identifying image defects in patterned garments and classify the defect types. Initially, the images are gathered from the HKBU database and bilateral filters are used in the pre-processing of images to remove distortions. A squeeze-and-excitation network (SE-net) combined with Random Decision Forest Classifier with Bayesian Optimization (RDF-BO) algorithm is used to detect and classify garment defects. By analyzing the differences among the original and reconstruction images, the unsupervised technique trains to rebuild the fabric pattern. The SE-net is used to identify certain fabric flaws in the garments of the pre-processed images. Then, the defects-related garments are processed using RDF-BO algorithm for classifying the garment defect from these regions. Finally, the proposed Deep-GD model is used for classifying defected fabric into 12 classes such as Defect free, soil stain, oil stain, Double end, Snarls, Miss, Horizontal stripes, Lumpy, Dye spot, Fall out, Hairiness, tiny hole. The proposed Deep-GD model achieves the overall classification accuracy of 97.16%, which is comparatively superior to the existing techniques.
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Suteja, Ricky, Helena Juliana Kristina, and Lithrone Laricha Salomon. "PENERAPAN METODE SIX SIGMA GUNA MENGURANGI BIAYA KUALITAS PADA PRODUK CELANA OLAHRAGA." Jurnal Mitra Teknik Industri 3, no. 3 (2025): 285–95. https://doi.org/10.24912/jmti.v3i3.33052.

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In modern times, there are many large companies operating in various fields, one of which is a company operating in the industrial sector. This garment factory is a large company located in the Cirebon area which operates in the garment sector. The garment products from this garment factory have been sold nationally and internationally with garments ranging from children's clothing to adult clothing. However, in 2020 this company is focused on producing sports pants garments ordered by buyers in the United States. This factory has produced defects in garment products for the last 2 years with a figure reaching 25% of total production. Therefore, in this research, a product quality improvement strategy was carried out using the Six Sigma (DMAIC) method and examining the quality costs incurred by the company. Defects found in garment factories include pinholes, dirt, wrinkles, broken stitches, poor trimming, and skipping. The most common defect is "skipping". Based on the DPMO and sigma level calculations, the company's DPMO value is 127,199.735 and the sigma value is 2.37 during July 2023 to October 2023. By using these two methods the aim is to provide a quality improvement strategy and find out the quality costs that can function effective in order to provide benefits for the company.
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Rahman, Abdur, Salaha Uddin Chowdhury Shaju, Sharan Kumar Sarkar, et al. "A Case Study of Six Sigma Define-Measure-Analyze-Improve-Control (DMAIC) Methodology in Garment Sector." Independent Journal of Management & Production 8, no. 4 (2017): 1309. http://dx.doi.org/10.14807/ijmp.v8i4.650.

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This paper demonstrates the empirical application of Six Sigma and Define-Measure-Analyze-Improve-Control (DMAIC) methodology to reduce product defects within a garments manufacturing organization in Bangladesh which follows the DMAIC methodology to investigate defects, root causes and provide a solution to eliminate these defects. The analysis from employing Six Sigma and DMAIC indicated that the broken stitch and open seam influenced the number of defective products. Design of experiments (DOE) and the analysis of variance (ANOVA) techniques were combined to statistically determine the correlation of the broken stitch and open seam with defects as well as to define their optimum values needed to eliminate the defects. Thus, a reduction of about 35% in the garments defect was achieved, which helped the organization studied to reduce its defects and thus improve its Sigma level from 1.7 to 3.4.
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Rahman, Abdur, Salaha Uddin Chowdhury Shaju, Sharan Kumar Sarkar, Mohammad Zahed Hashem, S. M. Kamrul Hasan, and Umainul Islam. "Application of Six Sigma using Define Measure Analyze Improve Control (DMAIC) methodology in Garment Sector." Independent Journal of Management & Production 9, no. 3 (2018): 810. http://dx.doi.org/10.14807/ijmp.v9i3.732.

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This paper demonstrates the empirical application of Six Sigma and Define-Measure-Analyze-Improve-Control (DMAIC) methodology to reduce product defects within a garments manufacturing organization in Bangladesh which follows the DMAIC methodology to investigate defects, root causes and provide a solution to eliminate these defects. Design of experiments (DOE) and the analysis of variance (ANOVA) techniques were combined to statistically determine the correlation of the broken stitch and open seam with defects as well as to define their optimum values needed to eliminate the defects. The analysis from employing Six Sigma and DMAIC indicated that the broken stitch and open seam influenced the number of defective products. Thus, a reduction of about 35% in the garments defect was achieved, which helped the organization studied to reduce its defects and thus improve its Sigma level from 1.7 to 3.4.
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Stasheva, M. A., L. V. Dryagina, and B. N. Gusev. "ANALYSIS OF THE CAUSES OF SEWING PRODUCTS QUALITY DETERIORATION." Technologies & Quality 50, no. 4 (2020): 7–10. http://dx.doi.org/10.34216/2587-6147-2020-4-50-7-10.

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The article discusses garments, underwear for children, made from knitted fabrics. One of the reasons for the low demand for Russia-made garments is incomplete satisfaction of consumer requirements for their quality. The analysis of defects arising at all stages of the technological process of manufacturing a product is carried out. It was found that the main group is made up of defects in the sewing and preparatory sections (about 80 % of the total number of reasons for the decrease in the quality of products). At the same time, the largest share is made up of defects arising in the sewing area (42.1 %). The efforts of the engineering and technical personnel of the enterprise should first of all be directed to eliminate these defects. For a targeted
 search for the causes of defects in the process of manufacturing garments, additional factors were identified that were systematized and recommended for use.
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Moin, Chowdhury Jony, Kazi Rezwan Hossain, and Lal Mohan Baral. "Investigating Root Causes of Sewing Defects Using TQM Tools for Quality Improvement in the Knit Garment Industry." Textile & Leather Review 6 (September 6, 2023): 417–33. http://dx.doi.org/10.31881/tlr.2023.071.

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To increase customer satisfaction in the highly dynamic and competitive apparel industry, it is essential to manufacture garments of superior quality. The study aimed to investigate the underlying causes of sewing faults and offer solutions for enhancing quality to a 100% export-oriented knit garment industry in Bangladesh. The study employed a comprehensive approach using quantitative and qualitative research methods to evaluate garment faults systematically. The whole garment inspection procedure was done on five common garment styles to collect the quantitative data. Some novel TQM (Total Quality Management) tools, Pareto analysis, WH questionnaire, cause-effect diagram, and a highly potential focus group panel were employed. The findings indicate the most prevalent faults like an open seam, skip stitch, and label mistake, accounting for 50 per cent, 29 per cent, and 7 per cent of all observed defects, respectively, and their remedies. The research's significance lies in its holistic approach to quality improvement in the knit garment manufacturing industries. This study provides a valuable framework for enhancing product quality and reducing rejection rates by pinpointing crucial defects, their origins, and effective remedies.
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Choudhary, Awadhesh Kumar, Monica Puri Sikka, and Payal Bansal. "The study of sewing damage and defects in garments." Research Journal of Textile and Apparel 22, no. 2 (2018): 109–25. http://dx.doi.org/10.1108/rjta-08-2017-0041.

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PurposeThe purpose of this review paper is to define the dominating factors (such as fiber, yarn, fabric structure, sewing thread, sewing needle and machine parameters) that affect the seam damages and causing defects. It also describes the various explanations of sewing defects in garment production and critically analyzes them for optimum selection of parameters and speeds for minimizing such faults. Hence, the knowledge of various factors which affect the sewing damages/defects will be helpful for garment manufacturers/researchers to know influence of the parameters and control the quality of producing seam.Design/methodology/approachThis section is not applicable for a review paper.FindingsSewing damages such as needle cut and other sewing damages/defects are studied mostly in woven fabric. There are very few studies conducted on knitted fabric sewing damages/defects. The sewing damage problems do not have single solution that is capable of removing these damages in fabric. All the determined and affecting parameters related to fiber, yarn, fabric construction, sewing thread and sewing machine must be examined to design appropriate remedial measurement related to machine design, fabric parameters and sewing thread. This could help in minimizing or eliminating the needle cut and other sewing damage problems.Originality/valueIt is an original review work and is helpful for garment manufacturers/researchers to reduce the defects and be able to produce good quality seam.
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Niles, S. N., S. Fernando, and W. D. G. Lanerolle. "A System for Analysis, Categorisation and Grading of Fabric Defects using Computer Vision." Research Journal of Textile and Apparel 19, no. 1 (2015): 59–64. http://dx.doi.org/10.1108/rjta-19-01-2015-b006.

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Inspection of fabrics is a major consideration in fabric manufacture, as well as in manufacture of garments and other fabric-based goods. In this research, a computer-based system for objective assessment of fabric defects was designed with emphasis placed on fabric defects occurring in the Sri Lankan industry. Image processing techniques were used to analyse scanned images of the test fabric, compare it with an ideal sample, and identify defects according to pre-learnt rules. The information gathered was then used to grade the fabric, either by determining the frequency of defect occurrence or assigning points. A new classification method for common defects was designed, thereby facilitating grading according to commonly used grading systems. A coding system for defects was also designed to help report defects to the user. The fabric defects were classified and stored according to the developed classification method and coding system.
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Goys, Tat’yana O., Tat’yana N. Novosad, Ol’ga V. Malysheva, Boris N. Gusev, and Aleksey Yu Matrohin. "DEVELOPMENT OF NORMATIVE ASSESSMENT OF KNITTED GARMENTS QUALITY." Technologies & Quality 67, no. 1 (2025): 27–33. https://doi.org/10.34216/2587-6147-2025-1-67-27-33.

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Current normative documents for textile products quality assessment were mainly developed and adopted more than 40 years ago and therefore in some requirements to ensure the quality of products, are obsolete, on this basis requiring further improvement taking into account the demands of manufacturers and consumers, as well as in connection with the need for further development of the Russian national system of conformity confirmation (certification). A more informative methodology for assessing the quality of finished knitted products was proposed in the work on the basis of the joint use of the order scale, taking into account the requirements of current regulatory documents, as well as the absolute scale for the use of qualimetry methodology, based on the output control data on the presence of appearance defects and production and sewing defects in accordance with the current normative values for the level of quality indicators.
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Rocha, Daniel, Leandro Pinto, José Machado, Filomena Soares, and Vítor Carvalho. "Using Object Detection Technology to Identify Defects in Clothing for Blind People." Sensors 23, no. 9 (2023): 4381. http://dx.doi.org/10.3390/s23094381.

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Blind people often encounter challenges in managing their clothing, specifically in identifying defects such as stains or holes. With the progress of the computer vision field, it is crucial to minimize these limitations as much as possible to assist blind people with selecting appropriate clothing. Therefore, the objective of this paper is to use object detection technology to categorize and detect stains on garments. The defect detection system proposed in this study relies on the You Only Look Once (YOLO) architecture, which is a single-stage object detector that is well-suited for automated inspection tasks. The authors collected a dataset of clothing with defects and used it to train and evaluate the proposed system. The methodology used for the optimization of the defect detection system was based on three main components: (i) increasing the dataset with new defects, illumination conditions, and backgrounds, (ii) introducing data augmentation, and (iii) introducing defect classification. The authors compared and evaluated three different YOLOv5 models. The results of this study demonstrate that the proposed approach is effective and suitable for different challenging defect detection conditions, showing high average precision (AP) values, and paving the way for a mobile application to be accessible for the blind community.
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Dissertations / Theses on the topic "Defects of garments"

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Wiklund, Josefin. "EMPHASIZING THE UNWANTED : Exploring the use of unwanted defects as desirable qualities of a collection." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-23798.

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This work focuses on exploring the early stage of garment production: where prototypes are regarded as ”incomplete” in relation to the desired result. Early prototypes carry unforeseen elements that are regarded as defects rather than desirable qualities, and are subsequently edited, adjusted and iterated into new prototypes until the desired result has been reached. This work wishes to emphasize the unforeseen elements present in the early prototypes, instead of merely disregarding them as undesirable qualities. By emphasizing common elements that are usually regarded as defects, this result of this project became a commercial yet experimental collection. I.e., the garments arguably kept their core commercial characteristics, making it easy for the observer to recognize and categorize the garments. However, upon a closer inspection, the defects arguably infused each respective garment with an appealing and interesting aesthetic. What this project has shown is that defects can be emphasized into desirable qualities, and that defects pose vast foundations for further exploration, ultimately challenging the industry’s current perception of defects.
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Lin, Chih-Hsiang, and 林致祥. "The Defect Analysis and Quality Function Deployment Analysis of Requested Alteration for Pressure Garment." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/22512883835256200890.

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博士<br>國立臺灣科技大學<br>工業管理系<br>96<br>The purpose of this study was to examine altered pressure garments requested by burn patients, in Taiwan. 342 pressure garments needing alterations were collected from 127 burn patients at the Sunshine Foundation Organization, an nonprofit organization for burn patients, between March and September 2007, to identify the major defects found in these pressure garments and their causes. Both of the defect analysis and Quality Function Deployment were adopted in this study. In the first part of our study, defect analysis causes of required alterations were classified according to a hierarchical coding scheme focusing on poor fit, discomfort, component part, fabric and sewing, and cosmetics to identify systematic problems for each garment type. The result of our analysis indicated that the majority of the pressure garment alterations were related to poor fit in circumferential and longitudinal dimensions of the various body parts, incorrect position and size of openings for eyes, nose, ears, and mouth, or inappropriate length or position of zippers. Information derived from this causal analysis and QFD analysis can be applied in helping to reduce the recurrence of alterations in pressure garment, thus improving the quality and effectiveness of pressure therapy. Quality Function Deployment (QFD) analysis five critical quality management items “Garment too loose” , “Garment too tight” , “Tear/hole and Wear/friction” , “Change in body size” , and “Incorrect size and position of opening.” The key operation management items “Reduce circumstances” , “Reposition the component” , “Add circumstances” , “Reduce length” , and “Cut (key) hole shape around the perineum” were identified through the relationship matrix analysis. After through discussion with various experts in field standardized operating procedure with specific quality control check points were developed to the pressure garment manufactures to further improve their quality.
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Book chapters on the topic "Defects of garments"

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Rahul, Mayur, Shekhar Verma, Akhilesh Singh, Sarvachan Verma, and Vikash Yadav. "Texture-Based Garments Defect Detection Method Using Machine Learning." In Cyber Intelligence and Information Retrieval. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3594-5_31.

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Ngoc, Nguyen Thi Thuy, Nguyen Thi Ngoc Lan, and Nguyen Minh Hieu. "Defects Classification on Garment Fabrics and Application of Artificial Intelligence to Detect Defects During Fabric Inspection." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-31824-5_7.

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Rahul, Mayur, Namita Tiwari, Ayushi Prakash, and Vikash Yadav. "Garment Defect Detection System Based on Histogram Using Deep Learning." In Proceedings of Fourth Doctoral Symposium on Computational Intelligence. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3716-5_22.

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Hebo, Abduletif. "Significance of “Quality Control” in Leather Goods and Garment Production." In Quality Control [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104494.

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The leather industry is one of the priority sectors that contribute to export income and economic development in the majority of African countries, in terms of creating job opportunities. Leather products need high care during manufacturing because their quality should never be compromised. Quality is a universal term used to evaluate the performance of a product or a service and the acceptance by the customer(s) in terms of customer satisfaction. As such, understanding quality concepts such as quality control (QC), quality standards, procedures, and documents related to leather goods and garment production in accordance with manufacturing company’s policy is deemed useful within the context of this paper. Supervisors, quality controllers, and operators in leather products manufacturing firms need to know required quality parameters and associated control mechanisms so that defect-free products will reach the end users. In order to achieve this, quality-influencing parameters such as performance, reliability, durability, serviceability, esthetics, features, and conformance are measured so as to verify set quality levels. Furthermore, factors that affect the quality of leather goods and garments as well as methods of identifying and isolating common defects and faulty pieces especially in the finishing activities of leather production are included herein. Hence, this paper covers quality control aspects on leather goods observed within the garment manufacturing subsector.
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Donmezer, Semih, Pinar Demircioglu, Ismail Bogrekci, Numan Durakbasa, and Gokcen Bas. "Defect Detection in Garment Industry 5.0: Digital Human Modelling Approach." In DAAAM International Scientific Book. DAAAM International Vienna, 2023. http://dx.doi.org/10.2507/daaam.scibook.2023.07.

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Tilburg, Patricia. "Mimi Pinson Goes to War." In Working Girls. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198841173.003.0006.

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During World War I, the midinettes of Paris suffered unemployment and drastically cut wages; at the same time, they were elevated in wartime ephemera as a nostalgic and erotic image of a France made whole. They were embraced by the press, by government agencies, and by trench soldiers as a soothing counterimage to more troubling female types on the homefront. As a cheerful and desirable national girlfriend, the Parisian garment worker was imagined offering her body, her gaiety, and her inimitable taste to the war effort. Physical intimacy between these women and trench soldiers emerged, particularly in the early years of the war, as a potent fantasy of pre-war wholeness—with the midinette’s body serving as a talisman to ward off violence, defeat, and death. Two patriotic initiatives through Charpentier’s Oeuvre de Mimi Pinson are examined. First, the Cocarde de Mimi Pinson, a campaign by female Parisian needle workers to manufacture tricolor cockades for front soldiers. What began as the spontaneous production of morale-boosting mementos by a group of unemployed garment workers soon expanded to include a government-funded exposition, a shop, an operetta, poems, and several songs. Second, Charpentier created an association to fund and train workingwomen as nurses. Government officials, journalists, and even soldiers applauded garment workers’ patriotic participation under the sign of Mimi Pinson, gay guardian of French taste and the loving and (safely) eroticized national Girlfriend.
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Weber, Jennifer L. "“Faction in Civil War is Unmitigated Treason”." In Copperheads. Oxford University PressNew York, NY, 2006. http://dx.doi.org/10.1093/oso/9780195306682.003.0008.

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Abstract MAinstream democrats had made a terrible mistake in ceding such control to the peace wing at the convention. The Copperheads, who were so strong at the end of August, turned into a political millstone for McClellan and the rest of the party. By allowing the peace wing to write the party platform and install Pendleton as McClellan’s running mate, the party gave the Republicans the chance to tar them as disloyal, an opening the Republicans capitalized on again and again. No matter how hard Democrats tried, they could not rid themselves of what the Republicans repeatedly referred to as “the smell of treason on their garments.” The man at the top of the ticket further stymied the Democrats’ attempts to regain traction. McClellan absented himself from the political game, cloistering himself instead in his New Jersey home. He refused almost all public appearances and often declined to meet important politicians in private, preferring to correspond with them instead. Tainted and leaderless, the Democrats hit the shoals in the October elections and the rocks in November. McClellan suffered a humiliating defeat at the hands of a man he had once ridiculed as “the original gorrilla,” losing even the soldier vote he presumably had locked up. The soldiers, it turned out, wanted to see the war through to its conclusion.
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Conference papers on the topic "Defects of garments"

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Lekhasri, G., K. M. Bhaarani, D. Durgadevi, and M. Sowmiya. "Study and Analysis on Internal Quality Assessment to Overcome Defects in Apparel Industry." In International Conference on Design, Materials and Metaheuristic Algorithms for Engineering. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-rqjcp2.

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Numerous quality issues can be found in the apparel sector in a number of disciplines, including fabric spreading, cutting, sewing, printing, embroidery, ironing, and packing. In the garment business, the boundaries of acceptable product quality have retreated, penalizing every flaw with one point. In the garment business, total quality management, or TQM, is essential for increasing output, enhancing product quality, and cutting production costs by minimizing scraping and rework. Data on quality flaws has been gathered from Supply Chain Management (SCM) clothing using AQL standard of 7.0point Traffic light system (Green, Yellow, Red). To perform this study to use the TQM tools such as bar chart and pie chart, easy to compare the before implementation and after implementation product quality were analyzed. Additionally, data is collected in order to find flaws and fix them. Rework operations are initially found and fixed in order to lower the defect ratio. We will put our thoughts into practice and contribute to this project in order to control quality.
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Uddin, Md Minhaz, Sanzeda Akter Sarmin, Sadi Mahmud Foysal, Sadia Rahman, Nushara Tazrin Risti, and Md Khalilur Rahman. "Optimizing Waste Reduction Through Real-Time Defect Detection in Garment Sewing Using Variants YOLOv7." In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS). IEEE, 2024. https://doi.org/10.1109/compas60761.2024.10797150.

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Saha, Lubba, Subir Dey Raju, Mushfiqur Rahman Chowdhury, and K. M. A. Salam. "Implementation of a Web-based Technology for Readymade Garments Manufacturing Defects." In 2021 International Conference on Intelligent Technologies (CONIT). IEEE, 2021. http://dx.doi.org/10.1109/conit51480.2021.9498295.

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Adil, S. Y., K. Naseem, Syed Hasan, and Satya Shah. "Reducing Defects in Garment Manufacturing: A DMAIC Approach." In 2023 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD). IEEE, 2023. http://dx.doi.org/10.1109/ictmod59086.2023.10472902.

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Bovindya, Egodawattaarachchige Asini, Samadhi Rathnayake, Anuradha Karunasena, and Sahan Pothupitiya. "Garment Defect Detection Using Convolutional Neural Network." In 2023 5th International Conference on Advancements in Computing (ICAC). IEEE, 2023. http://dx.doi.org/10.1109/icac60630.2023.10417665.

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Zarif, Syed Abu Ammar Muhammad, Philip Jefferson Deori, Ummay Maria Muna, Md Mehefujur Rahman Mubin, Shanta Biswas, and Raiyan Rahman. "A Deep Learning based Approach for Automated Defect Detection of Fabrics in Garment Production Line." In ICCA 2024: 3rd International Conference on Computing Advancements. ACM, 2024. https://doi.org/10.1145/3723178.3723196.

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Zhang, Y. H., C. W. M. Yuen, W. K. Wong, and C. W. Kan. "An intelligent knitted garment defect detection and classification model based on Gabor filter and Modified Elman neural network." In 2010 International Conference on Image Analysis and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/iasp.2010.5476161.

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Rahma Sari, Alifiana, and Wahyudi Sutopo. "The Analysis of Product Quality Improvement at Garment 3 of PT. XYZ Using Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) Method to Reduce the Number of Product Defects." In 2nd Australian International Conference on Industrial Engineering and Operations Management. IEOM Society International, 2023. http://dx.doi.org/10.46254/au02.20230218.

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