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1
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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Sumalatha, S. *1 Ninge Gowda K. N. 2. Sudhakar R3. "IMPLEMENTATION OF LEAN TOOL TO REDUCE STAINS AND DAMAGES IN GARMENT MANUFACTURING – A CASE STUDY IN AN EXPORT ORIENTED UNIT." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 8 (2018): 370–76. https://doi.org/10.5281/zenodo.1345661.
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In the present study, the visual control system was implemented in one of the leading export oriented garment manufacturing units in Bangalore to minimize stains and damages of garments. This study was conducted in the bitting and washing section from where more stains and damages occur. Seven garment styles were selected for the study, which included pale light and bright colors. Primary data was collected using the observational method. Interaction with supervisors was also helpful in understanding types of stains and damages and the root cause of their occurrence during the process to some extent. During the initial investigation, stain and damage percentage was recorded for all the styles. After successful implementation of visual controls such as dos and don’ts displays, information boards and story board postures, the data was collected, analyzed and compared with the initial recordings. There was a considerable reduction in the percentage of stains and damages. Among the results obtained, the stains section marked the highest reduction by 50 %, whereas damages were reduced by 26.57 % which may be rated as moderate. Therefore, changing dynamics of garment manufacturing need such practical approach to prove themselves as tough competitor in global market. However, to achieve more effective results, constant motivation of workers and time to time modification of visual control tools according to the requirement is a must.
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Meng, Fanyu. "Visual design element recognition of garment based on multi-view image fusion." International Journal for Simulation and Multidisciplinary Design Optimization 16 (2025): 5. https://doi.org/10.1051/smdo/2025003.
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Recently, three-dimensional or visual design, dressing, and simulation programs have become prominent in the garment industry. Image processing technology is increasingly utilized in the online customization process to adapt to the growth and revolution of garment customization. The emergence of online sites for browsing and purchasing personalized garments has given consumers a new platform to choose their outfits. The major challenge is extracting garment data, general clothing portrayals, and automatic dimensional extractions. Hence, this article proposes the Image Processing Technology-assisted Garment Visual Design Element Recognition (IMT-GVDER) model for tailoring clothing throughout the early phases of unique design and product development. The series of cloth pictures can be given as input to the recognition model from datasets. This clothing style recognition aids in predicting clothes' features and patterns, which aids in classifying them using efficient feature extraction and classification models such as Convolutional Neural Network (CNN). It helps to automatically recognize cloth images and categorize clothes styles depending on style components and their salient visual feature. The image texture characteristic variables can be utilized to classify the defects. The experimental outcome demonstrates that the suggested IMT-GVDER model enhances the prediction accuracy ratio of 98.7%, the matching rate by 97.6%, the performance ratio of 96.7%, and the F1-score ratio of 94.56% and reduces the error rate by 0.9% compared to other existing methods in visual clothing design.
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Stakhanova, S., L. Zolottseva, and N. Trutneva. "Analysis of defects in clothes that appear due to the characteristics of individual body shapes." Bulletin of Science and Practice, no. 4 (April 14, 2017): 139–48. https://doi.org/10.5281/zenodo.546290.
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The article analyzes the most common defects in clothes that appear due to the characteristics of individual body shapes. The constructive lines have been identified that allow the product to carry out the adjustment of the model structure and to ensure a good landing on the figure using semi–finished products.
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Ormseth, Benjamin H., Nina R. Livermore, Anna R. Schoenbrunner, and Jeffrey E. Janis. "The Use of Postoperative Compression Garments in Plastic Surgery—Necessary or Not? A Practical Review." Plastic and Reconstructive Surgery - Global Open 11, no. 9 (2023): e5293. http://dx.doi.org/10.1097/gox.0000000000005293.
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Summary: This practical review critically evaluates the evidence behind the widespread use of postoperative compression therapy intended to improve surgical outcomes, such as reduced edema, ecchymosis, pain, and seroma formation. A literature search of PubMed was conducted to identify relevant studies concerning the use of compression garments after aesthetic surgery, including rhinoplasty, facelift, neck lift, mammoplasty, abdominoplasty, limb contouring, and others. Additionally, reconstructive and therapeutic procedures closely related in anatomy or technique to these cosmetic operations, such as breast reconstruction, mastectomy, and hernia repair, were also considered to provide further perspective. After study extraction, the volume, quality, and agreement of the evidence found was highly heterogenous depending on the context of specific operations and outcomes evaluated. The most well-supported indications for the use of postoperative compression garments are to mitigate edema and ecchymosis after rhinoplasty and to reduce postoperative pain after breast and abdominal procedures, although no effect on seroma rate was demonstrated. Any potential benefit must be balanced against the associated costs and possible complications of compression, including patient discomfort, increased venous stasis, and skin defects. Thus, we encourage surgeons to critically reassess their use of compression garments. In many settings, such as brachioplasty, there is limited high-quality evidence to inform best practice, and we urge the community to continue researching this important topic so that more definitive and comprehensive guidelines may be established.
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Lee, Key Day, Jaeyoung Cho, Sang Yoon Kang, and Jin Sik Burm. "Early Compression Therapy for Deep Skin Defects: A New Treatment Option to Prevent Hypertrophic Scars or Contractures." Journal of Wound Management and Research 18, no. 3 (2022): 178–85. http://dx.doi.org/10.22467/jwmr.2022.02201.
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Background: Conservative treatment of deep dermal or full-thickness skin defects often results in hypertrophic scars or contractures; thus, compressive therapy has been used after wound closure to prevent or treat scar deformities. However, wound contraction begins in the early proliferative phase and peaks after 2 weeks. We therefore attempted early compression therapy as a means of conservative treatment of deep-skin defects and evaluated its clinical outcomes. Methods: In 21 cases of deep skin defects (19 patients), early compressive therapy was started the second week after injury. Saline-moistened gauze or foam dressings were placed on open wounds, and foam dressings or silastic plates were used after epithelialization. The compression materials included elastic bandages, adhesive tapes, or garments. The final scars were assessed using the Vancouver Scar Scale (VSS) and satisfaction degree.Results: Defect size ranged from 1.4×0.7 to 5×5 cm. The duration of compression was 4 to 12 months. The follow-up periods were 4 to 61 months. Mild scar hypertrophy or contracture occurred in 15 cases and subsided after application of topical corticosteroid or triamcinolone injection. The final scar shapes were linear (n=12), geographic (n=5), and oval (n=4). The mean VSS score was 2.3. The degrees of satisfaction were excellent (61.9%) and good (23.8%). In most cases, aesthetically and functionally satisfactory outcomes without pathologic scars were demonstrated with minimal scar size, high scar quality, and high satisfaction.Conclusion: Early compression therapy might be a good option to prevent pathologic scars in the conservative treatment of deep skin defects.
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Hazim Alsararatee, Hasan, Yaseen Hussain, and Adnan Adnan. "Assessing and managing lower limb oedema: a clinical review." British Journal of Nursing 33, no. 20 (2024): S8—S14. http://dx.doi.org/10.12968/bjon.2024.0210.
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Lower limb oedema is a common condition in clinical practice, frequently affecting the distal lower limbs. Whereas benign causes such as prolonged sitting or standing are typical, oedema can also indicate serious systemic diseases such as cardiac failure, liver disease, or renal impairment. Identifying the cause is crucial to prevent irreversible skin and tissue changes. This clinical review aims to increase the knowledge of advanced clinical practitioners (ACPs) and generalist practitioners, including practice and community nurses, by providing an overview of how to approach patients with lower limb oedema, encompassing history-taking, examinations, investigations, and management plans. The main focus is on lymphoedema, which can be primary or secondary. Primary lymphoedema results from genetic abnormalities, while secondary lymphoedema arises from acquired defects due to factors such as obesity, infections, neoplasms, and trauma. Effective management includes addressing the underlying cause, ensuring proper skin care, recommending appropriate exercises, and the use of compression garments. Referral to a lymphoedema specialist is recommended for patient education on managing and treating the condition when required. Additionally, the article discusses the importance of regular skin inspections, minor injury management, environmental considerations, and the critical role of compression garments in lymphoedema management. This comprehensive approach aims to enhance patient outcomes and provide a thorough strategy for ACPs and generalist practitioners.
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Wang, Jing, Jin Ying Song, and Ai Qing Tang. "The Use of BP Neural Network in Evaluation about the Appearance of the Garments." Advanced Materials Research 433-440 (January 2012): 4320–23. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.4320.
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This article reports the use of BP neural network for evaluation of the appearance of garment after dry wash. The selected data about parameters of fabrics and interlinings are analyzed by principal analysis and eight principal components are obtained through this method. A BP neural network with a single hidden layer is constructed including eight input nodes, six hidden nodes and one output nodes. During training the network with a back-propagation algorithm, the eight principal components are used as input parameters, while the rate of the appearance of the garment are used as output parameters. The weight values are modified with momentum and learning rate self-adaptation to solve the two defects of the BP network. All original data are preprocessed and the learning process is successful in achieving a global error minimum. The rate of the appearance can be evaluated with this training network and there is a good agreement between the evaluated and tested values.
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Nizam, Eanamul Haque, Shashata Shimu, Moniruzzaman, and Kazi Mehrab Hossain Kabbo. "Study on Tech Pack of Different Foreign Buyers to Facilitate Different Sectional Garments Merchandizer." European Journal of Business and Management Research 8, no. 2 (2023): 306–13. http://dx.doi.org/10.24018/ejbmr.2023.8.2.1925.
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The research team has made it easier for the industry merchandiser to understand the buyers after they change jobs in this study. Different kinds of tech pack have been gathered for this study directly from the business. Tech Pack has gathered two different kinds of information: primary and secondary. Data that has been entered for analysis after reviewing the tech pack is called secondary data. In the first segment, 30 foreign consumers were examined, along with information about their home countries, designers, and product categories. Size charts, including allowances, size codes, product sizes, and the rationale for designating this kind of code in the second segment, have all been examined in this sector. The final stages of this study have included an analysis of the major, minor, critical, and positioning defects points used by various buyers. Finally, the research team has provided recommendations for buyers, factory owners, and future productivity of the industry's merchandising team.
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Rahman, Sheikh Shohanur, Abdul Baten, Manjurul Hoque, and Md Iqbal Mahmud. "IMPACT OF LEAN MANUFACTURING ON PRODUCTIVITY AND LAYOUT DESIGN IN SEWING SECTION OF A GARMENT INDUSTRY." International Journal of Industrial Management 17, no. 3 (2023): 152–61. http://dx.doi.org/10.15282/ijim.17.3.2023.8955.
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The adoption of lean manufacturing as a method for enhancing productivity that led to the reduction of waste and uniformity of cycle time is the subject of this research. In the fast-paced, dynamic, and ever-changing global economy, many businesses are employing the lean manufacturing approach to remove waste, improve processes, save costs, enhance innovation, and decrease time to market. Lean manufacturing is especially appropriate in Bangladesh because many Bangladeshi private garments manufacturing companies are operating below their actual capacity, or undergo late deliveries, due to problems with their traditional production systems and a lack of skilled personnel. A basic full-sleeve t-shirt sewing line was the focus in the study. Non-value-added activities such as a large number of work-in-process (WIP), unnecessary transportation, and product defects due to poor 5S (Sort, Shine, Set in Order, Sustain, Standardize) and lack of traffic light system (TLS) were observed. Researchers also noticed the indifference of the workers. They used time study, line target, process flow mapping, theoretically machine requirement, and line efficiency to assess conventional line productivity. After implementing lean techniques (5S, line balancing, just-in-time), the standard time was obtained using process flow and cycle time analysis. Thus, non-value-added tasks are reduced, resulting in an improvement in production. They compared the previous production line with the lean-implemented production line and they noticed a lot of changes. Results showed that, after lean implementation, SMV is decreased by 0.9 minutes, production is increased by 1,664 pieces per month, the number of workers is decreased by 2 (two) persons, alter percentages is reduced to 4%, spot quantity is reduced to 1.80%, the rejection rate is reduced to 0.68%, WIP is decreased by 7 (seven) pieces, 69.08% efficiency is achieved. Lean manufacturing brought about great improvements in the sewing sector by establishing a standard minute value, a smooth process flow, and productive operations, which made a significant contribution to the achievement of production targets. In this way, lean manufacturing tools and practices can change the overall scenery of a traditional sewing section of the garment industry. This paper gives the whole feasibility assessment for implementing lean manufacturing in the garment manufacturing process.
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Saroafifa Indriani, Yunita Primasanti, and Erna Indriastiningsih. "Analisis Pengendalian Kualitas untuk Mengurangi Cacat Produk 3D VR (Virtual Reality) Garment dengan Menggunakan Metode Six Sigma." Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika 2, no. 5 (2024): 11–39. http://dx.doi.org/10.61132/jupiter.v2i5.493.
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Pan Brothers Tbk is one of the garment companies that adopted garment production in the form of 3D VR (Virtual Reality) as a garment prototype in Indonesia. In the process of making 3D VR products, many defective products must be revised. The study aims to implement the Six Sigma method and suggest improvements to reduce defects in 3D VR garment products using the Six Sigma method with the stages of defining, measuring, analyzing, improving, and controlling. In the define stage, the identification of the production process using the SIPOC diagram and identifying the type of defect. In the measure stage, the DPMO and sigma value calculations are carried out. The most defects are fitting not balanced and properly with a DPMO value of 269619.2 and a sigma value of 2.11. In the analysis stage with a fishbone diagram shows the factors that cause defects, namely man, machine, material, method, and environment. In the improvement stage, suggestions for improvements are given to reduce defects in 3D VR garment products. In the control stage, quality control is carried out by conducting internal training, upskilling, creating inspection report forms, adding teams to the QC division, and adding SOPs for the 3D VR producing process.
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Visconti, Giuseppe, Alessandro Bianchi, Marzia Salgarello, et al. "Lymphatic Tissue Transfer: Ultrasound-Guided Description and Preoperative Planning of Vascularised Lymph Nodes, Lymphatic Units, and Lymphatic Vessels Transfers." Journal of Personalized Medicine 12, no. 8 (2022): 1346. http://dx.doi.org/10.3390/jpm12081346.
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Background: The modern concept of lymphatic transfer includes vascularised lymph node transfer (VLNT), lymphatic vessels transfer (lymph interpositional flap transfer, LIFT) and lymphatic system transfer (vascularised lymph nodes and afferent lymphatics, LYST). The aim of this paper was to report our experience with different types of lymphatic transfer. Patients and Method: From June 2016 to June 2020, 30 consecutive patients affected by extremity lymphedema and 15 patients affected by post-traumatic lower extremity soft tissue defects, underwent lymphatic transfer (VLNT, LYST or LIFT). All cases were preoperatively evaluated by both high frequency and ultra-high frequency ultrasound. Flap features were recorded, as well as qualitative and quantitative outcomes at 1 year postoperative. Results: The mean postoperative lymphedema index reduction was 7.2 ± 5.7 for upper extremity and 20.7 ± 7.1 for lower extremity. No dismission of compression garments occurred, 12 patients (26%) referred more stable results of physical treatment and 1 case showed a 1-class compression reduction. All the LIFTs aimed as preventive did not develop post-traumatic lymphedema. In all cases of distal placement of VLNT and/or LYST, patients were dissatisfied with the aesthetic appearance of reconstruction, while no donor site scar disappointment was referred. Conclusion: When LVA is not feasible, LTT may represent a valid treatment option. This report was aimed at comprehensively describing and assessing how different lymphatic tissue transfer modalities may fulfil the different reconstructive needs of lymphedema patients.
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Bhandari, Shiva, Shashidhar Ram Joshi, and Sanjivan Satyal. "Optimized Gabor Filter Banks and Autoencoder Models for Enhanced Knitted Fabric Defect Detection." September 2024 6, no. 3 (2024): 241–62. http://dx.doi.org/10.36548/jaicn.2024.3.001.
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There is a high need for an automated system to detect fabric defects, as the current manual methods used in the garment industries in Nepal are unreliable and costly. Previous research has focused on specific fabric defects rather than overall fabric defects efficiently. This research employs two autoencoder models to identify different defects across different types of knitted fabrics, utilizing two datasets: the SFDG dataset and a custom dataset prepared from Butwal’s garment industries. The models benefit from a carefully designed Gabor filter bank to examine fabric compositions. This filter bank is fine-tuned by modifying parameters, wavelength, and orientation to detect varieties of defects in knitted fabrics. These models get feature representations from the Gabor filter bank’s outputs and help the system adapt to different types of defect patterns, making defect detection more reliable and accurate. The nearest neighbor density estimator finds possible defects and marks on the fabric images. The model's effectiveness and strength are shown by validating it on different types of knitted fabrics, including plain and patterned fabrics, using evaluation metrices like cTPR and ROC AUC. The first model achieves a cTPR of 0.879 and an AUC score of 0.947, while the second model achieves a cTPR of 0.899 and an AUC score of 0.958.
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Sjarifudin, Didin, and Hibarkah Kurnia. "The PDCA Approach with Seven Quality Tools for Quality Improvement Men’s Formal Jackets in Indonesia Garment Industry." Jurnal Sistem Teknik Industri 24, no. 2 (2022): 159–76. http://dx.doi.org/10.32734/jsti.v24i2.7711.
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Garment production with men's jacket products still finds products with poor quality and a high percentage of defects. The method used in this study is the PDCA approach with seven quality tools. The purpose of this study is to determine the cause of defects, provide solutions to repair these problems by reducing product defects, and reduce the percentage of dominant defects in the Finishing section. This study found that the factors causing the damage were human, machine, method, material, and environmental factors. Meanwhile, improvement efforts are contained in the Action stage, namely 5W+1H. The results of these improvements have an impact on the reduction of finishing defects from 17.8% to 11.8% which means a decrease in defects by 33.7% every month in the finishing section. The implications of this research can be used as a reference to reduce similar problems in the garment industry process. The combination of the PDCA approach and seven repair tools results in a defect percentage control system using a control chart so that defects will be controlled and corrective actions will be taken quickly.
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Tyas, Tiara Cahyaning, and Ida Giyanti. "Quality control of garment product using DMAIC Six Sigma." OPSI 17, no. 1 (2024): 234. http://dx.doi.org/10.31315/opsi.v17i1.7107.
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Quality control is intended to ensure that the products are in accordance with the predefined standards. PT. XYZ is a garment company that manufactures products with global target market. Hence, product quality assurance becomes an important issue for PT. XYZ. This research focuses on the Just Brand-MCJA216142 jacket product at the sewing work station on line-4 of PT. XYZ. Preliminary observations show that the number of reworked-products was experiencing an increasing trend. This study aims to determine whether the company has carried out quality control properly. Specifically, the research objectives are to identify the type and level of product defects, identify the factors causing product defects, and provide proper improvement suggestions to reduce the occurrence of product defects. This study applied DMAIC (Define–Measure–Analyze–Improve–Control) Six Sigma concept. The results showed that the quality of the Just Brand-MCJA216142 jacket product has exceeded the Indonesian industry average and is classified as the USA industry average. However, quality improvement is still needed since the products are targeted for the export market. Based on Pareto diagram at the Analyze stage, it was found that the most dominant defects occurred in the Just Brand-MCJA216142 jacket production process were broken threads and puckering. The frequency of occurrence for these two types of defect reaches 23% of the total 16 types of defects. The defects were caused by human, machine, material, method, and environmental factors. Recommendations for improvement at the Improve stage are based on root cause analysis of each causative factor that is identified using a fishbone diagram. This research results strengthen the previous related researches regarding the effectivity of DMAIC Six Sigma for analyzing quality control of products.
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Rukmana, Asep, Ahmad Nurrahman, Selamat Selamat, and Syaefan Abdillah. "Enhancing reliability in garment manufacturing through FMEA and FTA." Acta logistica 11, no. 4 (2024): 579–87. https://doi.org/10.22306/al.v11i4.548.
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This study employs Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) to comprehensively investigate product defects in Biyan Konveksi's manufacturing processes, one of the growing SMEs producing clothing pieces. Analyzing critical failure modes, including tear failures, stitching irregularities, sizing discrepancies, and ribbon imperfections, the research employs FTA to trace root causes, revealing the interconnected nature of these failures. The initial defect percentage, attributed to human, machine, material, and environmental factors, stood above 3%, with culottes experiencing the highest defect percentage at 3.95%. After the company implemented the enhancement measures, the defect percentage dropped significantly, reaching a range of 1 to 1.25%. Subsequently, targeted enhancement strategies are proposed, encompassing the implementation of additional worker rest breaks to alleviate fatigue, comprehensive training for new staff, and stringent machine maintenance protocols. These interventions aim to curtail tear failures, refine stitching precision, rectify sizing errors, and enhance ribbon placement. Anticipated to yield a substantial reduction in overall defect percentages, the suggested improvements position Biyan Konveksi for sustained excellence, emphasizing proactive measures to enhance worker performance and optimize manufacturing processes. The study underscores the significance of a systematic approach, combining FMEA and FTA, in diagnosing and rectifying complex failure scenarios within manufacturing environments, offering practical implications for companies aiming to fortify their competitive edge in the market.
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Tekletsadik, Seife Ebeyedengel. "Quality improvement through export item rejection reduction using the implementation of statistical quality control (SQC) tools: a case study." Management Science Letters 13, no. 1 (2023): 33–40. http://dx.doi.org/10.5267/j.msl.2022.9.004.
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Garment sector is one of the industrial sectors in Ethiopia. In this sector the final products are always with defect(s) which reduces attraction from customers and economic benefit from the business. With this intention, quality enhancement of shirt products through defect(s) rejection reduction using SQC tools was a vital task of this research. The study applied Pareto Analysis and Cause-and-effect diagrams for detailed examination of top defects. From the Pareto-analysis six top defect types; cuff assembly seam slip out, sleeve hemming, button slip out, side seam puckering, button missed, and placket seam out have been identified. These defects contributed 81.68% of all defects happening in the case company. Then root-cause analyses for these top defect types have been done and solutions have been suggested to overcome causes to reduce rejected shirts. Finally, the suggested solutions have been practically implemented through the organized implementation team from different departments of the case company including the researcher. This has given remarkable results of almost 67.3%, 2222 shirts, of export rejected shirts have been saved. These saved shirts have been exported additionally to the international market in line with the defect free products of that month and increased the income of the case company by 444,400 ETB to 555,500 ETB per month.
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Nugraha, Evan, and Rini Mulyani Sari. "Analisis Defect dengan Metode Fault Tree Analysis dan Failure Mode Effect Analysis." Organum: Jurnal Saintifik Manajemen dan Akuntansi 2, no. 2 (2019): 62–72. http://dx.doi.org/10.35138/organum.v2i2.58.
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There was a phenomenon that occurred in garment companies, namely the existence of defect products in the production process. In the sewing process, defects occurred with an average percentage of 6,67% in the first three months of early 2019. This 6,67% was a percentage of disability that exceeded the company percentage limit of 5%, thus disrupting the production process. The primary purposed of analyzing the factors of product defects was to find out the causes and solutions to the company. The Fault Tree Analysis method was used to find out the root caused of product defects. Three main problems caused product defects, namely 1) untidy stitches, 2) stitches that exceeded the specified size, and 3) straightened stitches. By using the Failure Mode Effect Analysis method, the three problems were caused by human error and the absence of a Standard Operating Procedure in the production process. As a solution to problems in the company, the Risk Priority Number value was used. From this study the result obtained 1 Risk Priority Number value is the proposed improvement.
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Albertus, N. Sutrisno. "Quality Improvement for Sleeve Shirt X Using Lean Six Sigma Approach at PT X." International Journal of Current Science Research and Review 06, no. 12 (2023): 8383–94. https://doi.org/10.47191/ijcsrr/V6-i12-87.
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Abstract : PT X, a key player in the garment industry, faces operational challenges, including inefficient motion in packing and product defects. Current state analysis reveals a lead time of 3,424.90 seconds, with a value-added time of 3,054.90 seconds. Direct observations attribute motion wastage during packing to suboptimal hand movements, stemming from inadequate training in motion time measurement. The future state map proposes packing process improvements through motion time measurement, reducing time from 87.27 to 86.32 seconds, with a lead time of 3,423.95. From January to December 2014, total production reached 239,359 units, with 30,702 defective products. The main defect, stitch breakage in short-sleeved shirts ‘X,’ occurred 15,386 times. Current process capability stands at 3.690 Sigma. Using the 5W+1H method, addressing the root cause of stitch breakage reduced defects to 15,316, with process capability improving to 3.952 Sigma, a 0.262 improvement. Post-improvement analysis estimates an added value in quality costs at Rp1,943,297,372. Lean Six Sigma implementation aims to minimize defects and lead times, enhancing profitability.
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Afifah, Rahmi Nur, Marina Yustiana Lubis, and Yunita Nugrahaini Safrudin. "Perancangan Autolamp pada Mesin Cutting untuk Meminimasi Produk Cacat Menggunakan Metode QFD di CV. XYZ." JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri 6, no. 2 (2023): 1–13. http://dx.doi.org/10.30737/jatiunik.v6i2.3315.
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Current technological developments benefit the Indonesian garment industry. Garment business must continue to innovate and improve the quality of their products in order to compete in an increasingly competitive market. CV. XYZ is a garment company in Bandung with superior products PDL shirts. The company is facing conflicts over fabric cutting process defects that have not been controlled. It is not yet known exactly the root cause of the cutting process resulting in high product defects. The purpose of this study is to determine the causes of high defects in the cutting process and design improvement strategies in the cutting process that suit user needs. The method used is FMEA which aims to determine the highest causes of defects in the cutting process so that strategies are obtained to minimize product defects, and the QFD method is used to design improvement strategies in the cutting process.. The results of the FMEA analysis found that the main cause of defects in the cutting process was eye fatigue in the operator caused by insufficient lighting in the cutting area. Using the QFD method produces an autolamp design that is integrated into the cutting machine with the function of providing lighting to the cutting area to make it easier for operators to see the fabric cutting pattern area. By using the QFD method in designing autolamp on cutting machines, it can produce product designs that meet the needs of cutting operators and have optimal features.
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Eryza Ayu Erkhananda and Dian Janari. "RISIKO PENYEBAB CACAT BUTTON DENGAN METODE FMEA DAN FTA PADA DEPARTEMEN WAREHOUSE (STUDI KASUS PT. MATARAM TUNGGAL GARMENT)." BUANA ILMU 5, no. 2 (2021): 89–100. http://dx.doi.org/10.36805/bi.v5i2.1506.
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 Mataram Tunggal Garment merupakan perusahaan yang bergerak di bidang tekstil dan produk tekstil yang memproduksi pakaian wanita jadi yang terletak di Sleman, Yogyakarta, Indonesia. Pada PT. Mataram Tunggal Garment terdapat beberapa bahan baku yang didapat dari supplier salah satunya adalah aksesoris pakaian yang sebagian besar didapatkan dari supplier. Tidak dipungkiri masih banyak produk dari supplier yang mengalami cacat produk terutama pada aksesoris button. Oleh karena itu diperlukan sebuah metode yang tepat untuk mencari akar dari penyebab kecacatan untuk penurunan tingkat kecacatan produk khususnya pada produk button. Metode yang digunakan pada penelitian ini yaitu FMEA dan FTA. FMEA merupakan teknik yang digunakan untuk mendefinisi, mengidentifikasi, dan menghilangkan kegagalan dan masalah pada suatu proses, setelah itu melakukan pembobotan nilai dan pengurutan berdasarkan RPN. Selanjutnya membuat analisis untuk perbaikan dengan menggunakan metode FTA berdasarkan nilai RPN yang tertinggi. Berdasarkan hasil metode FMEA didapatkan hasil RPN tertinggi pada cacat retak/patah dan cacat warna yaitu sebesar 336 dan 240. Berdasarkan hasil analisis menggunakan metode FTA, terdapat 3 basic event yang menyebabkan timbulnya top level event pada cacat warna yaitu, beban kerja yang berlebih, kondisi kesehatan yang menurun, dan suhu tidak optimum untuk bekerja. Sedangkan pada cacat retak/patah terdapat 5 basic event yaitu, tidak mengetahui prosedur kerja, karyawan yang kurang teliti, tidak adanya pengawasan, tidak terdapat SOP, dan tidak adanya pemeriksaan secara berkala. Usulan perbaikan yang dapat diberikan berupa rotasi kerja, penggunaan APD, penyediaan ventilasi udara, perbaikan dan penambahan SOP, pengawasan dan pemeriksaan pada inventory, dan pemberian reward dan punishment kepada pekerja.
 
 Kata kunci: Produk Cacat, FMEA, FTA, RPN
 
 Mataram Tunggal Garment is a company engaged in textiles products that produces apparel for women, located in Sleman, Yogyakarta. PT. Mataram Tunggal Garment has several raw materials obtained from suppliers, one of which is clothing accessories, which are mostly obtained from suppliers. It is undeniable that there are still many products from suppliers that defects, especially in button accessories. Therefore we need an appropriate method to find the root causes of defects to reduce the level of products defect, especially in button accessories. The methods used in this research are FMEA and FTA. FMEA is a technique used to define, identify, and eliminate failures and problems in a process, after which weighting and sorting are based on RPN. Then make an analysis for improvement using FTA method based on the highest RPN value. Based on the results of the FMEA method, the highest RPN results were obtained for cracks/fractures and color defects, 336 and 240. Based on the results of the analysis using FTA method, there are 3 basic events that cause top level events to color
 
 
 
 defects, excess workload, decreased health conditions, and not optimum temperature for work. Whereas for cracked/ fracture defects there are 5 basic events, not knowing work procedures, employees who are not careful, there is no supervision, there is no SOP, and there is no periodic inspection. Improvements that can be given are in the form of work rotation, use PPE, provision of air ventilation, improvement an addition SOP, supervision and inspection of inventory, and giving rewards and punishment to workers.
 Keywords: Product Defects, FMEA, FTA, RPN
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Salwa Nadhirah, M Dzikron, and Asep Nana Rukmana. "Pengendalian Kualitas Jersey Sepeda dengan Metode Six Sigma." Bandung Conference Series: Industrial Engineering Science 5, no. 1 (2025): 11–20. https://doi.org/10.29313/bcsies.v5i1.17242.
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Abcstract. Convection companies that produce bicycle jerseys, t-shirts, collared t-shirts, sports uniforms, pants and hoodies, face major challenges in managing product defects. In particular, bicycle jersey products have the largest defect rate, namely an average of 8% of the 1397 products produced in a year. This is interesting to study and carry out research to improve product quality by identifying the factors that cause defects and designing improvement proposals to minimize defects in the company's bicycle jersey products. This research was carried out using the six sigma method through the Define, Measure, Analyze, Improve and control stages with jersey product research samples. Defects experienced by bicycle jersey products consist of stitching defects, ink stains, spots and cracks. This has the potential to damage the company's reputation and reduce consumer confidence, as well as affecting competitiveness in the garment industry. This approach helps identify the causes of defects using cause and effect diagrams such as human, material, machine, method and environmental factors, as well as making quality improvement proposals to reduce variations in the process. The results of this study show that the main defects, namely seam defects, ink stains and chips, will be prioritized for analysis and repair. Proposed improvements include comprehensive training for operators, regular rest breaks, clear SOPs, and regular machine maintenance. Thus, the company strives to achieve higher quality and meet company performance targets. Abstrak. Perusahaan konveksi yang memproduksi jersey sepeda, kaos, kaos berkerah, Seragam Olahraga, Celana, dan Hoodie, menghadapi tantangan utama dalam mengelola cacat produk. Terutama, produk jersey sepeda yang memiliki tingkat cacat terbesar yaitu rata-rata 8% dari 1397 produk yang dihasilkan dalam setahun. Hal ini menarik untuk dikaji dan dilakukan penelitian untuk meningkatkan kualitas produk dengan mengidentifikasi faktor-faktor penyebab kecacatan serta merancang usulan perbaikan guna meminimasi kecacatan pada produk jersey sepeda pada perusahaan tersebut. Penelitian ini dilakukan menggunakan metode six sigma melaui tahapan Define, Measure, Analyze, Improve, dan control dengan sampel penelitian produk jersey. Kecacatan yang dialami produk jersey sepeda terdiri dari cacat jahitan, noda tinta, bintik, dan krikel. Hal ini berpotensi merusak reputasi perusahaan dan mengurangi kepercayaan konsumen, serta mempengaruhi daya saing di industri garmen. Pendekatan ini membantu mengidentifikasi penyebab cacat yang dilakukan dengan menggunakan diagram sebab akibat seperti faktor manusia, material, mesin, metode, dan lingkungan, serta membuat usulan perbaikan kualitas untuk mengurangi variasi dalam proses. Hasil pada penelitian ini menunjukkan bahwa cacat utama yaitu cacat jahitan, noda tinta, dan krikel, yang akan diprioritaskan untuk di analisis dan dilakukan perbaikan. Usulan perbaikan meliputi pelatihan menyeluruh untuk operator, pengaturan istirahat rutin, penetapan SOP yang jelas, dan pemeliharaan mesin yang teratur. Dengan demikian, perusahaan ini berupaya keras untuk mencapai kualitas yang lebih tinggi dan memenuhi target kinerja perusahaan
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Kusumadewi, Afriani, Feny Nurherawati, and Filly Pravitasari. "The Effect of Temperature Variations in the Pressing Process on Glossing Defects Bigborn 2-Tuck Pants Style 3651 Trousers in the Finishing Department of PT. X." Sainteks: Jurnal Sains dan Teknik 5, no. 2 (2023): 220–27. http://dx.doi.org/10.37577/sainteks.v5i2.609.
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Abstract: The pressing process is a process of applying heat and pressure at a predetermined time. Temperature, time and pressure in the pressing process in the finishing department play an important role in the quality of the results of pressing garment products at PT X. Various types of main materials used in the garment production process at PT X require different conditions of temperature, time and pressing pressure, so it is necessary to know the appropriate pressing conditions for each type of material. If these three elements are not appropriate, it can give rise to several categories of defects, one of which is often experienced by PT X, namely glossing/shiny defects. The method that used in this research was carried out by experimenting with variations in pressing temperature where the time and pressure variables used were fixed. The temperature variations used in this research include 600C, 700C, 800C, 900C and 1000C.. This research aims to determine the optimum temperature that used in the pressing process in making Bigborn 2-Tuck Pants Style 3651 trousers with the main material composition being 65% Polyester and 35% Katun. The pressing results are then tested for the tensile strength of the fabric towards the warp and towards the weft of the fabric. Based on the experiments carried out, it shows that for temperature variations of 600C and 700C there are poor press defects. At varying temperatures of 800C and 900C, there are no glossing defects. At 1000C it has glossing/shiny defect. Next, to obtain the most optimum temperature conditions, the experiment continued with testing the tensile strength of the fabric. Based on the fabric tensile strength test data, an optimum temperature condition was obtained in the process of pressing Bigborn 2-Tuck Pants Style 3651 trousers, namely at a temperature of 800C. The tensile strength results obtained at a temperature of 800C were 55 kg for the tensile strength of the fabric in the warp direction and the tensile strength of the fabric in the weft direction was 45.5 kg.
 Keywords: temperature, pressing, glossing
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Eki Wulandari Al Masruroh and Endang Pudji Widjajati. "Penerapan Acceptable Quality Level (AQL) Dalam Tahapan Final Inspection Produk Garmen Di PT XYZ." Jurnal Bima : Pusat Publikasi Ilmu Pendidikan bahasa dan Sastra 2, no. 1 (2024): 203–10. http://dx.doi.org/10.61132/bima.v2i1.577.
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Quality control in the garment industry plays an important role to ensure that the products produced meet high quality standards and satisfy consumers. The Acceptable Quality Level method is a promising approach for optimizing garment product control. This research focuses on the application of the Acceptable Quality Level method in managing garment quality at PT XYZ. The aim is to explore the extent to which this method can be applied efficiently in garment production by considering the existing challenges and opportunities. This study uses the "L Tunic Crinckle" tunic sample from PT XYZ as the research object. Data collection involves primary data from direct interactions and observations, as well as secondary data from related literature and journals. Raw material sampling methods are based on product defects, focusing on attribute data to assess non-compliance with specifications. With an AQL value of 2.5% and general supervision level II, this study took a sample of 125 tunics for inspection. Even though several minor and major defects were found, the total rejects did not exceed acceptance standards, so the tunic product lot could be accepted without re-inspection
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Wiyanti, Tuti, Fitrina Lestari, Yoedani Yoedani, and Yusuf Iskandar. "Production Quality Control as An Important Factor to Meet Buyer Quality Standards at The Garment Company PT. Sukabumi Single Estuary." Devotion Journal of Community Service 4, no. 5 (2023): 1195–210. http://dx.doi.org/10.59188/devotion.v4i5.432.
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The objectives of this study were achieved through the use of qualitative descriptive analysis, quantitative statistical ana-lysis, and quality control. To meet the quality target set by the Buyer, which is below 1.9%, it is necessary to know how many types of defects are found in the Finishing section and in the Final Inspection and how to reduce defects through the use of control strategies and methods applied by PT. Single Estuary. The data for this study comes from the statistics of production and damage to the Finishing department between May and August. Based on the findings of the study, it can be said that the implementation of quality control in this enterprise has been carried out quite successfully, with a noticeable improvement and a good quality improvement and is worthy of appreciation. These results show the seriousness or level of commitment of the management of PT. Muara Tunggal to continuously improve the quality according to the requests of buyers or buyers. The reduction in defects was first seen in early September 2022 with a defect rate of around 1.4%. Regarding the recommendations that can be made based on the findings, these include selecting raw materials according to Buyer's standards, hiring skilled labor, maintaining strict work ethics, providing training to employees to improve their skills, maintaining machines regularly, and improving neatness, comfort, and a safe workplace.
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Subhan, Ali. "Optimalisasi Proses Produksi Celana Panjang Melalui Pendekatan Six Sigma." Jurnal Sistem dan Manajemen Industri 2, no. 1 (2018): 23. http://dx.doi.org/10.30656/jsmi.v2i1.559.
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PT. Tainan Enterprises Indonesia branch of Cianjur produce various kinds of garment products. One of the most widely product is trousers. The product are still many defects. This is showed from the number of defective products during February 2015 until mid- March 2015 which reached 509 products unit of 10.138 trousers produced. Therefore, appropriate quality control is required to optimize the quality of trousers products. This research method uses Six Sigma approach with DMAIC cycle (Define, Measure, Analyze, Improvement, Control). Based on the results of the research is known the most dominant type of defect is oblique belt loop and skid jump defects. Factors causing of oblique belt loop defects are sourced from human factors (operator does not follow signs and operators are fatigue), engine factor (old machine age and engine setting less than perfect), material factor (needle material less reliable and materials need to be heating which is high), and the method factor (information on working methods is still lacking). While the factors causing of skid jump defects are sourced from human factors (operator is less careful in choosing to sewing needles and operators experience fatigue), machine factor (old machine age and no regular machine maintenance), material factor (needle less reliable sewing), and method factors (production supervision and quality control are still weak). Quality Increasing could be can increase the value of Six sigma from 3.82 to 4.27.
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Tri Astuti Alawiyah. "Analisis Pengendalian Kualitas Produk Intimates Bra Fused untuk Meminimalkan Defect dengan Menggunakan Metode Six Sigma." Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri 2, no. 1 (2024): 70–85. http://dx.doi.org/10.61132/manufaktur.v2i1.199.
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PT. Diamondfit Garment Indonesia is a company operating in the apparel industry, especially intimates and swimware. One of the products is the Intimates fused bra. In the production process, many defects are still found. This research aims to propose quality improvements using the six sigma method starting from the define, measure, analyze, improve and control stages. At the define stage, the production process is identified using the SIPOC diagram and identification of the type of defect. At the Measure stage, the calculation stage is carried out: fusing delamination DPMO value 366405.6 with a sigma value 1.84, Wavy At Neckline & Armhole DPMO value 65274.15 with a sigma value 3.01, Molding Yellowish DPMO value 350739.8 with a sigma value 1, 88, Dirty Glue has a DPMO value of 26109.66 with a sigma value of 3.44, and Heat Seal Not Sticking has a DPMO value of 191470.8 with a sigma value of 2.37. As a result of the analysis, it was found that factors causing defects occurred using FMEA tools and fishbone diagrams, namely machine, manpower, material and method factors. In the improvement stage, improvements are made to the factors causing defects and in the control stage, supervision is carried out over the proposed improvements that have been made by creating SOPs.
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Defiatri, Deadila, and Retno Wulan Damayanti. "Acceptance Sampling MIL-STD 105E for Quality Control: A Case Study." E3S Web of Conferences 465 (2023): 02043. http://dx.doi.org/10.1051/e3sconf/202346502043.
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The development of the garment industry in Indonesia is getting higher every year. The garment industry plays a role as a contributor to the country's foreign exchange and is relied upon to meet national clothing needs. With the increasing demand for clothing, the garment industry is competing to provide and offer good quality products at affordable prices. The company faces obstacles in products that do not comply with the specifications or standards set by the company. The finished product inspection process is carried out on each production line. Therefore, product defects that pass quality control are still found until the Final QC stage. This problem is caused by the company's absence of fixed quality standardization in each production process so that defective products enter the finishing process. The use of the sampling method at the Company is currently not effective enough to minimize found product defects at this stage, data is collected through requests for historical data on product defects in the company and also by making direct observations. One of the causes of product defects is operators who work under pressure because they have to achieve production targets. If the use of this method can be realized, there is no need to carry out 100% inspections but to adjust the number of product requests from buyers. This can help to reduce workload and the number of workers in product quality inspection thereby increasing productivity. Application of the Acceptance Sampling system based on MIL-STD 105E on products is beneficial in determining product quality. By applying this method, it is easier for companies to detect the number of product defects with large production volumes
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Turmudzi, Fakhri, Julio Keviin Marsxonery SNadeak, and Nanda Tri Amalia. "PENERAPAN SIX SIGMA UNTUK ELIMINASI WASTE PADA PT XYZ BAGIAN GARMENT." Jurnal Ilmiah Teknik dan Manajemen Industri 2, no. 1 (2022): 70–84. http://dx.doi.org/10.46306/tgc.v2i1.26.
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A production process that pays attention to quality will produce a quality product and free from damage. This can avoid waste and inefficiencies so that production costs can be reduced or can be more efficient. Six sigma is one of the methods that applies principles to be able to achieve the targets that are met. PT XYZ with the Garment section is a part that focuses on producing baby clothing products. The results of the observations found that there were 13 types of defects recorded during 20 working days. Furthermore, improvements were made through six sigma with the stages of data collection, data processing, and data analysis. The results are known to still have a process outside the control map, so an analysis of rejects was carried out within 20 working days. Repair or defects that are most dominant become CTQ, namely 3 types of repairs or defects are Position / Label Brand & Size Not Suitable, Stitches Missed / Broken and Defects of Raw Materials. With percentages of 44.66%, 16.07% and 7.98%. From the production data carried out by Quality Control Garment in 20 working days as many as 44789 pcs with the number of repair products or defects that occurred amounted to 813 pcs
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MATHEW, DENNISE, and N. C. BRINTHA. "Detection of garment manufacturing defects using CFPNet and deep belief network: an image-based approach." Industria Textila 76, no. 02 (2025): 160–70. https://doi.org/10.35530/it.076.02.2024140.
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The demand for high-quality items and the quickly shifting economic landscape increase the importance of ready-made garment manufacturers in providing the correct quality product. It is difficult work in the textile industry since the efficacy and efficiency of automatic flaw identification determine the quality and cost of every textile surface. In the past, the textile industry used manual human efforts to find flaws in the manufacturing of clothing. The main downsides of the manual garment fault identification technique include lack of concentration, human tiredness, and time requirements. Applications based on digital image processing and computer vision can overcome the aforementioned restrictions and shortcomings. In this article, we use intelligent algorithms like Channel-wise Feature Pyramid Network (CFPNet) based on deep learning-based techniques with Deep Belief Network (DBN) to monitor the quality and predict any occurrences of manufacturing problems in clothing. The suggested algorithm is mostly utilised in the textile industry to find flaws in clothing while estimating client needs based on the environment and the economy to react quickly and meet business objectives. The performance evaluation was used to determine the 12 kinds of garment faults, which included holes, excessive margins, stains, cracks, inappropriate stitch balancing, needle breaks, ink stains, torn clothing, drop stitches, soil content, and broken clothing. The suggested model obtains a 95.85% stain defect detection rate, a 97.33% defect-free garment recognition rate, and a 97.16% hole defect recognition rate.
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Sjarifudin, Didin, Hibarkah Kurnia, Humiras Hardi Purba, and Choesnul Jaqin. "Implementation of six sigma approach for increasing quality formal men’s jackets in the garment industry." Jurnal Sistem dan Manajemen Industri 6, no. 1 (2022): 33–44. http://dx.doi.org/10.30656/jsmi.v6i1.4359.
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This study aims to implement the Six Sigma method on formal men's jacket products in the garment industry to increase the level of sigma. The methodology is based on the Define, Measure, Analyze, Improve, and Control (DMAIC) approach. The new approach in this study is the determination of 5W+1H using a Focus Group Discussion (FGD) with five expert judgments. The design of this study has applied the Six Sigma method at the Measure stage. It is a measurement before improvement and after the Control stage as a measurement after improvement. The results of this study have increased the level of sigma from 3.5765 to 3.7839, so there is an increase of 5.48%. Increasing the sigma level contributes to a decrease in defects at the finish line by 44.09% every month. Implementing the Six Sigma method to the DMAIC approach has succeeded in increasing the level of sigma, automatically reducing the percentage of defects and increasing the productivity of formal men's jackets in the garment industry.
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Selvarasi, A. "Enhancing fabric quality control: Implementing real-time defect detection with image processing techniques and arduino." i-manager’s Journal on Image Processing 10, no. 4 (2023): 37. http://dx.doi.org/10.26634/jip.10.4.20194.
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The textile industry is a rapidly growing sector globally and plays a momentous role in many sectors like manufacturing, employment, and business operations in many developed countries. Cloth flaws account for over 85% of the failures experienced in the garment industry. Efforts are currently underway to enhance fabric consistency, making the identification of defects a critical step in the textile manufacturing process. However, the traditional manual inspection technique for detecting cloth flaws is time-consuming and labor-consuming. Consequently, automation has been introduced through image processing technology. This approach utilizes image processing techniques in MATLAB to locate faults, with fault detection carried out using an Arduino. To improve the accuracy of fabric defect identification, an electronic fabric inspection method has been proposed. This framework incorporates image processing techniques, employing MATLAB, and real-time applications implemented on the Arduino kit. Neural Networks serve as the optimal classifiers for fault classification. Upon detecting a flaw in the fabric, the system breaks shortly to remove the defective component. The identified fault is then displayed on the LCD, and the buzzer is activated.
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Alex, Shelcy S. "Monitoring Line Efficiency in Garment Industry using IoT." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (2022): 1710–12. http://dx.doi.org/10.22214/ijraset.2022.40129.
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Abstract: The conventional method of monitoring efficiency in garment industry is to collect the number of pieces produced per hour by each line manually and entered in the website . This method is time consuming, wastage of man power, and involves non valued activities. The IOT based line efficiency monitoring system that checks the efficiency of end line production in garment industry in real time through weight sensor (one for each parameter: pass pieces, defect pieces) . Weight of the garment and the target per hour are given as the input. As a variation in the value of weight sensor signifies that garment is dropped into the bin, therefore the number of pieces produced is increased and vice versa. The Wi-Fi module in the system transfers data processed by the microcontroller, and transfers the data to the website as well as smart phone. This system can help the factory officials to monitor efficiency at real time basis. Keywords: IoT, Weight sensor, Node MCU, real time efficiency monitoring.
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Yuen, C. W. M., W. K. Wong, S. Q. Qian, L. K. Chan, and E. H. K. Fung. "A hybrid model using genetic algorithm and neural network for classifying garment defects." Expert Systems with Applications 36, no. 2 (2009): 2037–47. http://dx.doi.org/10.1016/j.eswa.2007.12.009.
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Liu, Xian Jun. "Relevance and Application between Fractal Graphics and Fabric Defects Texture Design." Advanced Materials Research 821-822 (September 2013): 373–77. http://dx.doi.org/10.4028/www.scientific.net/amr.821-822.373.
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The art of fractal graphics features by modern scientific spirits and modern scientific knowledge, which is full of the magnetic creativity of intricacy, variable and exaggeration and can create the combination of the scientific world and the art world. Meanwhile, it can also make the rational designed medium has a magical infectivity on the textile fabric. In this paper, the study of relevance between the art design methods of fabric fractal graphics and defects texture makes the application room of the modern textile fabrics into the indoor soft environment and garment design field larger, whose results promote the development of the combination of the modern art and science. It is helpful to improve the new ways of the textile fabrics design and the aesthetic value.
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Nhu, Phong Nguyen, Phuc Nguyen Huu, Phong Thieu Nam, and Quang Nguyen Dang. "Applying Lean Six Sigma to improve garment production processes-A case study." BOHR International Journal of Operations Management Research and Practices 2, no. 1 (2023): 53–63. http://dx.doi.org/10.54646/bijomrp.2023.18.
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The company under study specializes in producing garment products. The production process of the company has so much waste, a long production time, a high cycle time, and a high defect rate, leading to low productivity, low quality, and late deliveries, affecting the competitive edge of the company. In this article we have discussed how Six Sigma can be applied to improve the company production process to reduce waste, the process production lead time, the cycle time, and the process defect rate and then to improve productivity and quality and finally increase the on-time delivery rate and the competitive edge of the company. The research methodology is based on Lean Six Sigma theory, with the platform of DMAIC procedure, including five steps: define, measure, analyze, improve, and control. The tools used in the steps of DMAIC procedure include cause and effect diagram, Pareto diagram, value stream management, work design, SMED, line balancing, Kanban systems, FIFO, autonomous maintenance, visual management, design of experiments, and control charts. After applying Lean Six Sigma tools, the company has reduced the production lead time by 89.21% from 279 to 30.1 min, reduced the production cycle time by 36% from 25 to 16 s, reduced the process defect rate by 37.45% from 14.9 to 9.32%, and then improved the on-time delivery rate.
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Yan, Qisheng, and Rong Zheng. "Prediction Simulation for the Length of Garment Marking Based on QPSO-DFNN." Open Mechanical Engineering Journal 8, no. 1 (2014): 31–36. http://dx.doi.org/10.2174/1874155x01408010031.
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Because of the defects of a posteriori and experience-depended traditional method, a prediction model of the length of garment marking based on dynamic fuzzy neural network (DFNN) combined with Quantum-behaved Particle Swarm Optimization (QPSO) was proposed. The salient characteristics of the method are: 1) hierarchical on-line selforganizing learning is used; 2) neurons can be recruited or deleted dynamically according to their significance to the system’s performance; and 3) fast learning speed can be achieved. Data obtained from 32 and 10 groups are used for the dynamic fuzzy neural network learning and simulation respectively. The simulation results demonstrate that DFNN can be used as a prediction system for the length of garment marking and absolute value of the maximum relative error less than 5.11%, and mean absolute percentage error less than 2.01%. The DFNN may be the construction for factory to estimate the fabric consumption and provide a new method for designing optimal cutting plan.
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Richter, Niclas, Khorolsuren Tuvshinbayar, Guido Ehrmann, and Andrea Ehrmann. "Usability of Inexpensive Optical Pulse Sensors for Textile Integration and Heartbeat Detection Code Development." Electronics 12, no. 7 (2023): 1521. http://dx.doi.org/10.3390/electronics12071521.
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Low-cost sensors and single circuit boards such as Arduino and Raspberry Pi have increased the possibility of measuring biosignals by smart textiles with embedded electronics. One of the main problems with such e-textiles is their washability. While batteries are usually removed before washing, single-board computers and microcontrollers, as well as electronic sensors, would ideally be kept inside a user-friendly smart garment. Here, we show results of washing tests with optical pulse sensors, which can be used in smart gloves not only for hospitalized patients, and ATtiny85 as an example of a single-board microcontroller, sewn onto different cotton fabrics. We report that even without any encapsulation, all tested sensors and microcontrollers endured 10 washing cycles at 30–60 °C without defects. For easier garment integration, we suggest using an ESP8266 with integrated Wi-Fi functionality and offer a new program code to measure beats per minute (BMP) with optimized accuracy.
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Risteski, Sanja, Vineta Srebrenkoska, and Stefan Maksimov. "Defects detection in the first manufactured module: Ensuring errors flow in the garment manufacturing process." Tekstilna industrija 68, no. 2 (2020): 18–23. http://dx.doi.org/10.5937/tekstind2002018r.
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Pardosi, Adhe Rebeka, and Sumiati Sumiati. "Analisis Produk Kaos Oblong untuk Meminimalisir Defect dengan Metode New Seven Tools di Konveksi Graha Konveksindo." Briliant: Jurnal Riset dan Konseptual 9, no. 4 (2024): 998–1010. https://doi.org/10.28926/briliant.v9i4.1893.
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: Graha Konveksindo is a company that operates in the garment industry, where one of the products produced by this company is T-shirts. The aim of this research is to minimize defects by providing recommendations for improvements to T-shirts. This research was carried out using the New Seven Tools method, where this method can identify and find out the causes of defects in T-shirts and provide recommendations for improvement. The recommendations for improvement given are establishing clear procedures and standard standards for measuring color materials and attaching them to the coloring area, increasing cooperation with raw material suppliers who are reliable and provide high quality materials, checking raw material measurements and checking machine conditions. mixer before the production process, using an inspection checklist to ensure that each inspection step has been carried out correctly.
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Sadchenko, Oleksandr, and Oleksandr Shevchenko. "CLASSIFICATIONS OF JUDICIAL COMPANY EXPERTISE." Criminalistics and Forensics, no. 67 (August 9, 2022): 596–606. http://dx.doi.org/10.33994/kndise.2022.67.61.
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The analysis of the practice of using special commodity knowledge shows that for research at the present level it is necessary to develop theoretical problems, among which the classification of forensic examinations is relevant. The authors offer their own classification of forensic examinations on various grounds. 1. According to the degree of generalization, subordination, forensic examinations should be divided into: class, genera, species and subspecies. Class: commodity examinations. Types: a) commodity examination of food products; b) commodity examination of non-food products; c) commodity examination of works and services. Types (subspecies): a) commodity examination of food products is divided into: – examination of goods of plant origin; – examination of goods of animal origin; – examination of goods of mixed origin. b) commodity examination of non-food (industrial) goods is divided into: – examination of consumer goods (consumer goods); – transport and commodity examination (auto commodity; examination of military vehicles; examination of vessels; examination of aircraft); – examination of machines, equipment, raw materials (examination of military property, machinery and weapons); – examination of real estate, real estate (examination of integral property complexes; examination of buildings; expert monetary valuation of land plots (shares)); – examination of cultural values; – examination of objects of painting and applied arts (examination of objects of painting and graphics; examination of sculpture; examination of objects of folk crafts; examination of objects of table setting, etc.); – examination of watches; – examination of securities goods; – examination of goods of property rights to intellectual property (examination of audiovisual products and software); – examination of clothing (examination of knitwear; examination of garments; examination of textiles; examination of fur products; examination of leather products; examination of outerwear, etc.); – examination of fur products; – examination of perfumery and cosmetics; – examination of shoes; – examination of haberdashery (examination of leather haberdashery); – examination of household appliances (examination of photo, radio and video equipment; examination of computers; examination of household electric lighting, etc.); – examination of furniture products; – examination of facilities (livestock, poultry and other live animals); – examination of goods of the construction group; – examination of printed products (examination of books and printing products, etc.); – examination of jewelry (examination of articles of precious metals; examination of articles of precious stones); – examination of stationery; – examination of medical equipment; c) commodity examination of services. 2. Classification of forensic commodity examinations by type of problem to be solved: – commodity examination, to solve classification problems (determination (establishment) of compliance: commodity characteristics of the studied objects with basic data (registers, etc.), data of similar products, marking data recorded on labels or tags, belonging to the same type or article); – commodity examination, to solve diagnostic problems (establishment: the presence of defects and their impact on product quality; compliance (non-compliance) of quality characteristics of products with standard and reference requirements; factual data related to compliance (non-compliance) with the rules of packaging, labeling, storage, transportation, rejection, revaluation and reduction of the price of goods). 3. Classification of forensic commodity examinations by type of object under study: – commodity examination, the objects of research of which are directly only products (commodity origin); – commodity examination, the objects of research of which are only documents (they reflect the state of the goods, the processes that took place with it, commodity transactions, etc.) (circulating name– “examination of documents”); – commodity examination, the objects of study of which are mixed objects (products; samples of products; documents which reflect information about the peculiarities of the origin of goods (certificates, quality certificates, technical passports, labels, etc.), freight (shipping) documents, acceptance or warehouse documents, claim materials, etc.). Key words: forensic examination, classification of forensic examinations, special commodity knowledge, commodity specialist, examination of food and non-food products.