Journal articles: 'Sewing-machine industry'

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Ulutaş, Alptekin. "New Grey Integrated Model to Solve Machine Selection Problem for a Textile Company." Fibres and Textiles in Eastern Europe 28, no. 1(139) (February 29, 2020): 20–25. http://dx.doi.org/10.5604/01.3001.0013.5853.

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The textile sector has become an indispensable part of the Turkish economy. The sewing machine is a long-lasting and easy-to-use tool widely used in the garment industry, which is a branch of the textile industry. The sewing machine is an indispensable production tool for the textile industry and sewing machine selection is a significant decision for the production performance of textile companies. Selecting an appropriate sewing machine increases production performance, while selecting an improper one reduces production performance. The sewing machine selection problem is a typical machine selection issue. Many criteria, such as cost, productivity, safety etc. are considered in the machine selection. Therefore, MCDM methods are applicable to solve the machine selection problem. This study develops an integrated grey MCDM model including Grey AHP and ROV-G to select the most appropriate sewing machine for an apparel textile company.

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Eladly, Amira Mohamed, Mohamed Gaber Abou-Ali, Aida Mohamed Sheta, and Sherwet Hussein EL-Ghlomy. "A flexible ergonomic redesign of the sewing machine workstation." Research Journal of Textile and Apparel 24, no. 3 (June 15, 2020): 245–65. http://dx.doi.org/10.1108/rjta-10-2019-0050.

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Purpose The apparel industry is a labor-intensive industry, which depends mainly on the performance of the worker. The purpose of this study is to present an ergonomic redesign of the sewing machine workstation, with different sewing table heights and inclination angles, based on the operator’s anthropometric data. Design/methodology/approach A flexible ergonomic sewing table has been designed, four main workstation-setting factors were studied; sewing desk inclination angles – X_1, height – X_2, sewing machine type – X_3 and operator’s body mass index (BMI) – X_4, with three levels for each factor, except sewing machine type, which only has two levels. The study was undertaken to specify the limitations and advantages of each combination tested. Different measurement techniques were used; subjective information, production rates – P, working postures (head, neck and trunk inclination angles in the kinematic stage) were measured. Findings Sewing operators’ sitting posture angles in the kinematic stage were affected more or less by their anthropometric measurements and the type of sewing machine. These two factors should be taken into consideration when ergonomically redesigning the sewing machine workstation. Practical implications A new ergonomically redesigned sewing machine table can be incorporated into garment factories, taking into consideration the BMI of the operators to improve their productivity and reduce musculoskeletal disorder complaints due to incorrect operators’ posture. Originality/value An important correlation was found between the sewing operator’s anthropometric body measurement – BMI and the type of sewing machine (with significant R^2 = 0.8385 and 0.9764 with both the head and neck inclination angles O_H, O_N, respectively).

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Mazari, Adnan, and Antonin Havelka. "Tensile Properties of Sewing Thread and Sewing Needle Temperature at Different Speed of Sewing Machine." Advanced Materials Research 627 (December 2012): 456–60. http://dx.doi.org/10.4028/www.scientific.net/amr.627.456.

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Needle heatup is a big issue for apparel industry especially for automobile industry seat covers where a lot of synthetic materials are used which get damaged by needle heat at high speed of sewing machine,in this article thermocamera and thermocouple are used to measure the precise temperature of needle eye and then 100% polyester 35x3 Tex thread is taken for sewing,the lockstitch sewing machine is run at 1000rpm,2000rpm and 3000rpm respectively and the both methods are used to obtain the accurate needle temperature and finally thread tensile properties are measured before the sewing and taking out the thread from the seam precisely to get the tensile properties of thread after 10,30 and 60 seconds of continuous stitching,the article is very helpful in predicting the exact temperature of needle in lock stitch machine and getting the damage to thread by the needle heat at different speeds and different stages of sewing process.

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Mansurova, Мunisa, Аnvar Djuraev, and Gulchiroy Saidova. "Improving the design of sewing machine elements for the environmentally sustainable development of the light industry." E3S Web of Conferences 390 (2023): 04016. http://dx.doi.org/10.1051/e3sconf/202339004016.

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Modern tasks of environmentally sustainable development of light industry require continuous improvement of the design of sewing equipment elements. Textile production is one of the key components of the light industry, therefore, innovative developments in the design of sewing equipment elements allow the deployment of green technologies throughout the industry. Moreover, emissions from light industry, as a rule, are easier to reduce precisely from a technological point of view, by improving the design of sewing machine elements and using environmentally friendly textile materials. An analysis of the constructive features of devices for the folding the sewn materials on a sewing machine is given in the article. A constructive scheme and the principle of operation of the improved construction of the ratchet of the device for obtaining various forms of folds of materials are presented. The construction of the folding device with different pitches and shapes of materials on the sewing machine has been recommended. The methods of profiling the curvilinear working areas of the ratchet wheels of the device has been substantiated.

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Rahmansyah, Ahmad Iskandar, Alief Muhammad, Joni Hendra, Abdul Basit, Siti Masluha, and Dani Hari Tuggal Prasetiyo. "Buttonhole and Edge Sewing Machine Technology Training to Increase the Quality Production of Small Convection Creative Industry in Probolinggo." Empowerment Society 5, no. 2 (August 24, 2022): 48–58. http://dx.doi.org/10.30741/eps.v5i2.851.

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Based on the culture of new clothes on the New Year, Eid, and other special days, the demand for convection products will increase drastically. This condition is a big obstacle for small businesses in the creative industry in Indonesia, especially in Probolinggo. Increasing the amount of convection production in Probolinggo is by applying new technologies to accelerate the production. If convection production, both custom and general order, can be made quickly, the amount of production will increase. A buttonhole sewing machine is a machine that has the ability to embroider and buttonhole automatically. Edge sewing machine, a machine that works as a tool that is able to sew and smooth the edges of the fabric automatically. With these two machines, convection products will be faster. Both machine training service activities were carried out well. The results made using a buttonhole sewing machine show a good and short level of neatness. Edge sewing machines also provide satisfactory results. To sew and tidy up the fabric, it can be done quickly and neatly. All forms of service activities are carried out to be able to solve the problems experienced by small business partners in the creative convection industry in Probolingo.

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Muslimah, Etika, Devira Ulfa Permatasari, Munajat Tri Nugroho, Suranto Suranto, Indah Pratiwi, and Siti Nandiroh. "Ergonomic Assessment of Sewing Machine Operators to Minimize Musculoskeletal Disorders." SHS Web of Conferences 189 (2024): 01022. http://dx.doi.org/10.1051/shsconf/202418901022.

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Garment industry sewing involves 8 hours of sitting in an unnatural, uncomfortable position that can lead to muscle pain and injuries. This study aims to evaluate complaints and risks of MSDs in sewing work in the garment industry. Identify complaints using the Nordic Body Map (NBM) and Assessment of Repetitive Task (ART) methods. Based on the results of identification with NBM of sewing operators, it was found that the body parts where complaints occurred were the waist at 89%, the right calf at 61%, the buttocks at 53%, and the back at 50% from a total of 36 sewing operators. The results of analysis using the Assessment of Repetitive Task (ART) method show that all sewing operators experience musculoskeletal disorders in the moderate level exposure category so that further review of the sewing workstation is needed. The recommended improvement is in the form of improving posture to reduce the complaints felt. Relevance for industry: this study focuses on sewing work-related factors and other risk factors, which will help researchers to better understand the risk of MSDs in the garment industry. These risk factors must be considered when creating and implementing ergonomic aspects to prevent and reduce musculoskeletal discomfort.

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Abd El Megid, Z. M., and A. Hamdi. "Design solutions to Address Garment Industry Issues in Egypt." Research Journal of Textile and Apparel 18, no. 4 (November 1, 2014): 26–37. http://dx.doi.org/10.1108/rjta-18-04-2014-b003.

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This research aims to develop design solutions for all the obstacles that workers face during the sewing process, and these solutions are focused on the following: chair design, sewing table design and sewing machine pedal. The design of the workplace includes the order of the components of the work according to the ability of the human body to handle lighting, ventilation and noise. Both the university and research centre consider that the purpose of the research is to examine these obstacles and propose appropriate solutions that could eliminate these occupational diseases that result from the process of sewing, and increase the production rates and quality which will consequently stimulate the Egyptian economy. The research originates from the work of an integrated regulatory framework of design tools and equipment used for the sewing process and the related work place in accordance with design ergonomic objectives that when achieved, will accelerate the performance and quality of production, and prevent occupational diseases resultant from poor design. The research has also developed a set of recommendations that deal with the deficiencies in the performance of the sewing process, in order to raise the competitiveness of the garment industry in Egypt.

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Mavlonova, Iroda, Mansur Akhmetjanov, Munira Vokhidova, Sirojiddin Fayziev, and Sayyidaposhsho Shokirova. "Experimental studies of the dynamics of the proposed design of the presser foot with an additional conical spring." Journal of Physics: Conference Series 2373, no. 2 (December 1, 2022): 022047. http://dx.doi.org/10.1088/1742-6596/2373/2/022047.

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Abstract This article is devoted to light industry equipment, namely sewing machines that are utilized in the manufacture of clothing, footwear and knitwear. The disadvantage of this design is the lack of vibration damping of the trigger and rod caused by changes in the thickness and structure of the sewing material, the impact resistance of iron and the incompatibility of the rotating elements in the sewing machine.

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Misto, Endhah Purwandari, Artoto Arkundato, Wenny Maulina, and Arry Y. Nurhayati. "Improving the Economy of the Home Furniture Industry in Sugerkidul Village - Jember through Appropriate Technology." Jurnal Inovasi Sains dan Teknologi untuk Masyarakat 1, no. 1 (May 31, 2023): 38–44. http://dx.doi.org/10.19184/instem.v1i1.361.

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Furniture (chairs, beds, sideboards and so on) are items needed by every household that potential to be cultivated as a livelihood. Some of the basic materials for making furniture products are available locally (village) and some come from the city. Techniques for making furniture products such as how to make wooden frames, cut furniture cloth or leather, sew furniture fabrics, and the process of assembling and combining them into a furniture product must be owned by furniture workers, in order to open a furniture business. In addition to the technical skills that must be possessed, the required equipment such as tools, sewing machines and so on must also be owned for this furniture business to be successful. Some of the difficulties of Jelbuk furniture entrepreneurs are that they do not have enough skills to sew and do not have a sewing machine. If there is sewing work, it is always given to another party whose existence is 20 km from Jelbuk. This is what makes Jelbuk entrepreneurs less economically empowered. Therefore, the purpose of carrying out this activity is to provide guidance on sewing techniques and procurement of sewing machines as an alternative solution for these furniture entrepreneurs. This activity was carried out in several stages, namely 1) procuring sewing machines that were tailored to the needs of making a furniture product, 2) providing guidance on sewing techniques, and 3) training on techniques for making fashion furniture products according to consumer tastes. Guidance on sewing techniques is given starting from getting to know the sewing machine and its characteristics as well as sewing guidance to make a simple product to the details. The results of the community service activities are enough to help improve the ability of sewing techniques so that all pron products can be done at their own place without having to be given to other parties, so that the completion is faster and more cost efficient. The guidance process is still given for 3 months until it is completely independent. The ability of furniture entrepreneurs increases, the settlement process is faster, the number of consumers increases and will ultimately increase the income of furniture entrepreneurs in Suger Kidul Village, Kec. Jelbuk, Kab. Jember.

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Lampe, Ryan, and Petra Moser. "Do Patent Pools Encourage Innovation? Evidence from the Nineteenth-Century Sewing Machine Industry." Journal of Economic History 70, no. 4 (December 2010): 898–920. http://dx.doi.org/10.1017/s0022050710000768.

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Members of a patent pool agree to use a set of patents as if they were jointly owned by all members and license them as a package to other firms. This article uses the example of the first patent pool in U.S. history, the Sewing Machine Combination (1856–1877) to perform the first empirical test of the effects of a patent pool on innovation. Contrary to theoretical predictions, the sewing machine pool appears to have discouraged patenting and innovation, in particular for the members of the pool. Data on stitches per minute, an objectively quantifiable measure of innovation, confirm these findings.

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Nemeša, Ineta. "Energy saving motors for sewing machines." Tekstilna industrija 71, no. 1 (2023): 39–43. http://dx.doi.org/10.5937/tekstind2301039n.

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During the current year the costs of natural gas has raised about 10 times, electricity prices have increased the similar dramatic way. However, textile industry still widely uses old generation machinery which consumes a lot of energy. New sewing machines in the market are available with two kinds of motors - traditional clutch motors and advanced servo motors. The old type clutch motors use maximum energy all the working day while the machine is switched on. The energy consumption of the servo motors depends on sewing speed and time. When the sewing process is stopped, servo motors operate in stand-by mode. Servo motors ensure to the sewing machine up to 70% less energy consumption than traditional clutch motors. They also ensure 15-30% higher work efficiency. The servo motors for sewing machines are widely available in the marker. The replacement of clutch motors to servo motors on the sewing machines is not complicated process.

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Rajesh Kannan, Megalingam, Baburaj Abilash, Sreekanthan Karthik, Mattathil Anoop, and H. Anriudh. "RotoPower – A Real Time Electricity Source Based on Rotational Motion." Applied Mechanics and Materials 786 (August 2015): 334–39. http://dx.doi.org/10.4028/www.scientific.net/amm.786.334.

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Sewing is one of the oldest textile arts which are still popular among the masses of India. Beyond being an art work, sewing serves as a source of livelihood for millions of people. In modern India the major part of the sewing industry is confined to the rural villages spread across the north and the north eastern states of India. Most of these villages are still to receive electricity and those of whom have, are sustaining on the verge of energy poverty. The operation of a sewing machine can be harnessed to produce electricity for small scale purposes. This can be used for charging batteries, mobile phones, lamps, emergency lights. The rotational aspect of the sewing machine wheel can be used to generate power. Power generation is facilitated by using an Alternator. The usage of an Alternator over a DC Motor or Dynamo has added advantages which are described in detail in due course. This paper is intended to present a method to generate power by effectively harnessing the rotational capability of a sewing machine wheel. The paper also deals with the advantages of using an alternator over other electricity generating devices.

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Li, Lai Qiang, Shu Lin Wang, and Bo Xu. "Vibration Isolation and Noise Reduction Design of the AH20 Motor’s Lifting up Structure." Advanced Materials Research 308-310 (August 2011): 1379–82. http://dx.doi.org/10.4028/www.scientific.net/amr.308-310.1379.

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Compared with sewing machine driven by traditional match motor, industry sewing machine driven by AH20 motor have economy energy, intelligent degree, install convenience, operation simple and ability completely etc. It has vast applied foreground and huge market potential. But the lifting up structure has problems of vibration and noises in use, and seriously obstructed the progress of its market expansion. The causes were found through theoretical calculation, modal analysis and experiment analysis, and the structure was improved. The experiment results confirmed the validity of the changes.

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Ismailov, Nurulla, Nargiza Nabidjanova, Dilrabo Rayimberdiyeva, Rashida Ergasheva, and Saida Mamatkulova. "Economic efficiency of production of knitted fabrics per unit of time." E3S Web of Conferences 538 (2024): 04013. http://dx.doi.org/10.1051/e3sconf/202453804013.

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The sewing and knitting industry creates an opportunity to provide various branches of the production sector with affordable products made of high-quality, soft and light knitted fabrics. Offer The widespread implementation of the quality of threading of clothing details in the growing sewing and knitting industry allows the republic to organize the export of knitted products, to provide high-quality, low-cost products with added value to various branches of the national economy in solving the problems of connecting ready-made clothing details. In sewing-knitting technological processes, using mathematical methods to achieve maximum efficiency at the expense of cost-effectiveness, using high-quality threading of high-elastic knitted products at the same time, providing various branches of the national economy with high-quality, cheap and light products. allows to provide. Keywords : raw material fabric, time unit productivity, sewing machine, economic efficiency, Cobb-Douglas.

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Kebede Deyyas, Wakjira, and Ararso Tafese. "Environmental and Organizational Factors Associated with Elbow/Forearm and Hand/Wrist Disorder among Sewing Machine Operators of Garment Industry in Ethiopia." Journal of Environmental and Public Health 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/732731.

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Occupational health problems related to upper limp musculoskeletal disorders were the major issue among sewing machine operators of garment industries in Ethiopia. The aim of this study was to assess the prevalence and associated risk factors of work related elbow and wrist musculoskeletal disorders among sewing machine operators of garment industries in Galan City, Oromia Regional State. A cross-sectional study was conducted from April 1 to 30, 2012. A total of 422 study subjects were included in this study. Standard Nordic Musculoskeletal Questionnaire was used to collect detailed information on musculoskeletal symptom, sociodemographic data, and factors associated with the problems through face to face interview. From a total of 422 sewing machine operators included in the study 370 (87.7%) were females and 306 (72.5%) were in the age group of <30 years. The prevalence of self-reported work related elbow and wrist musculoskeletal disorders was 40% and 37.7%, respectively. In multivariate analysis, those who had >16 years of service were about five times more likely to develop elbow and wrist musculoskeletal disorders than those who had short (1–5 years) year of services [AOR = 4.7, 95% CI: 1.55–13.02], physical activities [AOR = 5.02, 95% CI: 1.57–16.00], and methods of payment [AOR = 2.01, 95% CI: 1.23–3.28], factors significantly associated with this disorders. Work related elbow and wrist musculoskeletal disorders were high among sewing machine operators in selected garment industries. Moreover, personal and environmental factors were identified as the potential risk factors related to elbow and wrist musculoskeletal disorders among the study group. Therefore, government and the owner of the garment industries should give special attention to prevent and control the problems through proper occupational health and safety policy implementation in the country.

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Lee, Suhyun, Soo Hyeon Rho, Sojung Lee, Jiwoong Lee, Sang Won Lee, Daeyoung Lim, and Wonyoung Jeong. "Implementation of an Automated Manufacturing Process for Smart Clothing: The Case Study of a Smart Sports Bra." Processes 9, no. 2 (February 2, 2021): 289. http://dx.doi.org/10.3390/pr9020289.

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The garment manufacturing industry is a labor-intensive industry, with one of the slowest transitions to automation. Hence, it is essential to build a smart factory based on automated systems to improve productivity and allow responsive production in the market. In this study, the manufacturing processes for a smart sports bra were established and optimized using various automated machines. For this system, computer-based 3D virtual design software, a technical embroidery machine, an automatic cutting machine, an industrial robot arm with gripper, and an industrial pattern sewing machine were used. The design and materials of the sports bra were selected considering embroidery, cutting, robot gripping, and sewing processes. In addition, conductive thread and light-emitting diode (LED) sequences were used to implement smart functions to the sports bra. Transport of intermediate materials, work orders, and process conditions were optimized to improve the flexible connection of each process and the quality of the final product. This study suggests the concept of the automated manufacturing system that minimizes human intervention by connecting the processes needed to produce a smart sports bra using various automation equipment and programs already used in the industry.

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Jung, Woo-Kyun, Yong-Chul Park, Jae-Won Lee, and Eun Suk Suh. "Remote Sensing of Sewing Work Levels Using a Power Monitoring System." Applied Sciences 10, no. 9 (April 29, 2020): 3104. http://dx.doi.org/10.3390/app10093104.

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The measurement of sewing work in the labor-intensive garment industry depends considerably on the person performing the measurements, making it difficult to quantitatively define the level of skill (LS) of the sewing machine operator and the level of difficulty (LD) of the unit process. In this study, a power monitoring system attached to the sewing machine was used to remotely collect power consumption data, which were then analyzed to extract the working times for a series of sewing tasks. LS of each operator was then classified and LD of each process was analyzed in terms of working time and quality. Finally, the resulting LS and LD weight factors considered to optimize the subject garment production line were compared against those proposed by experts. The LS weight factor proposed by the experts was ~15% less than that indicated by the experimental results, whereas the LD weight factor proposed by the experts was ~15%–40% greater than that indicated by the experimental results. The results of this study suggest that the proposed method could be applied in real time to inform the arrangement of line workers to increase the productivity of a garment production line.

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BOZ, SERKAN, MUSTAFA ENGİN, SAVVAS VASSILIADIS, and M. ÇETİN ERDOĞAN. "Influence of sewing parameters on the energy consumption of the sewing machines." Industria Textila 73, no. 02 (April 30, 2022): 196–203. http://dx.doi.org/10.35530//it.073.02.202046.

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The clothing industry due to the rapid changes in the technological and economical fields faces continuously new challenges like efficient machine and process settings’ changes for individual production orders for smaller quantities; increased product and materials variety and increased competitiveness through higher quality and lower production costs. Energy consumption is very important because, besides the varying costs (material, labour), the costs of energy are one of the key factors affecting the manufacturing costs, which is the main factor affecting the final price of the clothing products. It is well known that energy costs constitute 10–15 % of the overall manufacturing costs in the apparel industry. In the present study, the correlation of the various sewing parameters with the energy consumption and thus the energy costs are examined. In order to obtain this goal, a data collection system has been designed in order to meet the needs and the nature of the measurements. Sewing experiments were carried out on different samples using various sewing parameters and the consumption of the electrical power was monitored. Additionally, the measurements obtained during the experiments were sent and stored in a computer for the processing of the signals and their statistical evaluation.

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BOZ, SERKAN, MUSTAFA ENGİN, SAVVAS VASSILIADIS, and M. ÇETİN ERDOĞAN. "Influence of sewing parameters on the energy consumption of the sewing machines." Industria Textila 73, no. 02 (April 30, 2022): 196–203. http://dx.doi.org/10.35530/it.073.02.202046.

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The clothing industry due to the rapid changes in the technological and economical fields faces continuously new challenges like efficient machine and process settings’ changes for individual production orders for smaller quantities; increased product and materials variety and increased competitiveness through higher quality and lower production costs. Energy consumption is very important because, besides the varying costs (material, labour), the costs of energy are one of the key factors affecting the manufacturing costs, which is the main factor affecting the final price of the clothing products. It is well known that energy costs constitute 10–15 % of the overall manufacturing costs in the apparel industry. In the present study, the correlation of the various sewing parameters with the energy consumption and thus the energy costs are examined. In order to obtain this goal, a data collection system has been designed in order to meet the needs and the nature of the measurements. Sewing experiments were carried out on different samples using various sewing parameters and the consumption of the electrical power was monitored. Additionally, the measurements obtained during the experiments were sent and stored in a computer for the processing of the signals and their statistical evaluation.

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Дворжак, В. М. "АНАЛІТИЧНЕ ДОСЛІДЖЕННЯ ДИНАМІКИ ТИПОВИХ КУЛІСНИХ МЕХАНІЗМІВ ТЕХНОЛОГІЧНИХ МАШИН ЛЕГКОЇ ПРОМИСЛОВОСТІ." Bulletin of the Kyiv National University of Technologies and Design. Technical Science Series 122, no. 3 (October 4, 2018): 9–18. http://dx.doi.org/10.30857/1813-6796.2018.3.1.

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Improving methods of designing technological machines mechanisms of light industry in CAD-programs. The analytical method of vector transformation of coordinates for calculation of typical mechanisms of technological machines and a numerical method for solving differential equations are used. Mathematical models describing the functions of the position of the moving links and the characteristic points of the multi-link mechanism of the thread take-up mechanism for the sewing machine and the dynamics of its operation are obtained. Schematic modeling of the mechanism in the Mathcad program was performed. The graphs of the dependence of the angular velocity and acceleration on time and on the angle of rotation of the crank mechanism. The algorithm of numerical and analytical investigation of the dynamics of the flat six-link articulated mechanism of the thread take-up of the sewing machine is proposed on the basis of the numerical solution of the differential equation of motion of the mechanism and a computer simulation of the mechanism in the program Mathcad. Practical Value is to use the results of research in kinematic and dynamic study of the target sewing machine mechanisms.

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Kanniappan, Vadivelan, and Vignesh Palani. "Prevalence of Musculoskeletal Disorders among Sewing Machine Workers in a Leather Industry." Journal of Lifestyle Medicine 10, no. 2 (July 31, 2020): 121–25. http://dx.doi.org/10.15280/jlm.2020.10.2.121.

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Green, Nancy L. "Women and Immigrants in the Sweatshop: Categories of Labor Segmentation Revisited." Comparative Studies in Society and History 38, no. 3 (July 1996): 411–33. http://dx.doi.org/10.1017/s0010417500020004.

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The garment industry is a good example of the relative autonomy of academic fields. Two histories of the industry are being written simultaneously but separately. One is a history of women; the other, a history of immigrants. Two types of workers have indeed come to the sweatshops, and each have had distinct reasons for doing so. The nineteenth century saw the shift from tailormade to ready-made garments, from the (hand-held) needle to the sewing machine, from tailors and dressmakers to garment workers, and from more to less skill in the making of clothing. The ready-to-wear revolution was also accompanied by a global shift in the sewing labor force, from men to women and from natives to immigrants. The story is a complicated one, yet one which has most often been told in parallel fashion.

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Sealetsa, O. J., and A. Thatcher. "Ergonomics issues among sewing machine operators in the textile manufacturing industry in Botswana." Work 38, no. 3 (2011): 279–89. http://dx.doi.org/10.3233/wor-2011-1131.

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Tarafder, Nemailal. "Mechatronics in Textile Industry - An Overview." Journal of Mechanical, Automation and Production 1, no. 1 (June 26, 2023): 6–11. http://dx.doi.org/10.48001/jomap.2023.116-11.

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Mechatronics in textile engineering is a combination of different engineering disciplines such as electronic, electrical engineering, telecommunication engineering and many more. In mechatronics the main area covers skill and knowledge whereas core area covers core skills, knowledge, and life skills. An important consideration in mechatronics is the machine learning, which means learning through machine algorithms having wide applications. The application of mechatronics in textile covers area like designing of textile machinery for 3D printing, braiding m/c, weaving mc/s, yarn spinning, texturing, intelligent systems, etc. Application of robotics in textile as a reliable technology is to respond fast during changes. Another important application for textile industry is to reduce the human efforts during labour intensive processing. Automated sewing robots comply with the role of reducing the need for human labours. Automatic handling and manipulation of labours can solve the problem of cost reduction by improving production with lowering labour costs. It is established that the design handling control systems for any 3D model of fabric drape with the use of finite element method and a particle method can simplify the process.

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Kiritkumar, Bosmia Kavita, and Pitchai Pothiraj. "Prevalence of work-related musculoskeletal disorders and analysis of working posture using rapid entire body assessment tool amongst the sewing machine operators in a garment industry: a cross sectional study." International Journal Of Community Medicine And Public Health 10, no. 11 (October 31, 2023): 4388–95. http://dx.doi.org/10.18203/2394-6040.ijcmph20233483.

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Background: Work-related musculoskeletal disorders (WMSDs) are emerging problems and it occurs when there is a mismatch between the physical requirements of the job and the physical capacity of the human body. Study aimed to find out the prevalence of WMSDs, the influence of varied working posture and level of physical activity (PA) for the development of WMSDs amongst the sewing machine operators. Methods: This is a cross-sectional study and conducted in a garment industry at Vapi, Gujrat. By purposive sampling technique, 100 sewing machine operators having minimum one year of experience, in the age group of 18-60 years were recruited with their consent. Örebro Musculoskeletal pain questionnaire (ÖMPQ), Rapid Entire Body Assessment tool (REBA), Quick Exposure Check tool (QEC) and International Physical Activity Questionnaire (IPAQ) was administered to all the participants. Data was analyzed using SPSS 24 software. Descriptive statistics applied for categorical variables, Spearman Rank correlation coefficient (r) was calculated for the relationship between PA and WMSDs. Results: This study revealed the prevalence of WMSDs as 70% and low back pain was the commonest complaint. REBA demonstrated that 55% of participants were at high musculoskeletal risk and 44% were at very high risk. QEC identified that neck region had very high exposure risk for the development of WMSDs. The level of PA shows no association with WMSDs (r = 0.040, p=0.62). Conclusions: Sewing machine operators of this study adopted a poor working posture which corresponds to the development of high musculoskeletal risk and an increased prevalence of WMSDs.

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Sawai, Minoru. "The Trajectory of “Assembling” and Parts Manufacturers in the Japanese Home Sewing Machine Industry." Keiei Shigaku (Japan Business History Review) 54, no. 3 (2019): 3–25. http://dx.doi.org/10.5029/bhsj.54.3_3.

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WANG, P., B. RITZ, D. REMPEL, R. HARRISON, J. CHAN, and I. JANOWITZ. "Work organization and work-related musculoskeletal disorders for sewing machine operators in garment industry." Annals of Epidemiology 15, no. 8 (September 2005): 655. http://dx.doi.org/10.1016/j.annepidem.2005.07.026.

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Dang, Xiao Zheng, Liang Sheng Zhou, and Bao Cheng Ding. "Kinematics and Dynamics Simulation of Feed Mechanism of Sewing Machine Based on SimMechanics." Advanced Materials Research 694-697 (May 2013): 31–35. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.31.

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Planner six-bar mechanism is widely used in the textile industry. In this article, feed mechanism of sewing machine is studied. The kinematics and dynamics simulation model is established for this kind of mechanism. On the basis of it, a relevant simulation is carried out through SimMechanics. Thus, the motion rules and stress state for all parts of mechanism are described vividly. The simulation results show that this method is effective and efficient when the simulation is implemented for a certain machine system. Meanwhile, it provides a foundation for the further research of the mechanism in the future.

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Pratikto, Zulham Dwi, Ekaterina Setyawati, and Djamal Thaib. "Analisis Hubungan Intensitas Pencahayaan dan Kelelahan Mata terhadap Produktivitas Kerja pada Pekerja Konveksi Tahun 2022." Syntax Literate ; Jurnal Ilmiah Indonesia 7, no. 10 (June 28, 2023): 18163–77. http://dx.doi.org/10.36418/syntax-literate.v7i10.12790.

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The garment industry must have three main assets: fabrics, sewing machines, and sewing machine operators. Because the amount of finished garments produced is dependent on the sewing machine operator, he or she is the most important person. However, in reality, it is known that this section has a lighting intensity below the average compared to the applicable government policy, so it is found that it causes several symptoms of complaints of eye fatigue, which have an impact on the rise and fall of the level of work productivity of workers. This research method is explanatory, with data collected via questionnaires and interviews, as well as total sampling techniques. Respondents are employees of Dodik Garment and CV. Arga Garment. The analysis technique used is the Pearson correlation coefficient, the coefficient of determination, and the significance test, which were tested using SPSS for Windows version 27.0. The results of this study indicate that the lighting intensity is below the minimum standard. Most workers complain of eye fatigue, which manifests as symptoms such as red eyes, drowsiness, and headaches. All independent variables, namely lighting intensity (X1) and eye fatigue (X2), simultaneously (simultaneously) or individually (partially) affect the dependent variable, work productivity (Y). Some suggestions that can be given are the need for supervision from related government agencies, carrying out routine maintenance, redesigning room layouts to maximize lighting distribution, conducting periodic eye health checks, and making regulations and Standard Operating Procedures (SOP) to minimize the risk of eye fatigue complaints

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Lampe, Ryan, and Petra Moser. "Patent pools and innovation in substitute technologies-evidence from the 19th-century sewing machine industry." RAND Journal of Economics 44, no. 4 (December 2013): 757–78. http://dx.doi.org/10.1111/1756-2171.12035.

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Wang, P. C., B. Ritz, D. Rempel, R. Harrison, J. Chan, and I. Janowitz. "333-S: Work Organization and Work-Related Musculoskeletal Disorders for Sewing Machine Operators in Garment Industry." American Journal of Epidemiology 161, Supplement_1 (June 2005): S84. http://dx.doi.org/10.1093/aje/161.supplement_1.s84.

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Wang, Bing Zi, and Ying Chen. "The Effect of 3D Printing Technology on the Future Fashion Design and Manufacturing." Applied Mechanics and Materials 496-500 (January 2014): 2687–91. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2687.

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In this paper, the present situation of the application of 3D printing on fashion industry and the characteristics of 3D clothing were analyzed and summarized; the effect of 3D printing technology on the clothing design and manufacturing was discussed, and a new design and production process was put forward; besides, this paper described the limits of 3D printing clothing and made a predictive analysis of the application of 3D printing future vision in the field of clothing. As the revolutionary change to the textile and garment industry brought by the invention of sewing machine in nineteenth Century, 3D printing technologies applied in the clothing will bring changes to this industry as well.3D printing technology broke the original frame and brought new creative space and possibilities whether from the perspective of fashion design thinking or production practice.

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MANOILENKO, OLEKSANDR, VASYL НOROBETC, VOLODYMYR DVORZHAK, YURII KOVALOV, ILLIA KNIAZIEV, and VOLODYMYR SHKVYRA. "RESEARCH OF VARIABLE PARAMETERS OF NEEDLE THREAD TAKE-UP MECHANISMS AND DEVELOPMENT OF RECOMMENDATIONS FOR ADJUSTING MULTI-THREAD CHAIN STITCH SEWING MACHINES." Fibres and Textiles 30, no. 5 (2023): 52–60. http://dx.doi.org/10.15240/tul/008/2023-5-006.

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The purpose of this research is to develop specific recommendations for optimizing the adjustment of the thread take-up mechanisms of typical chain stitch sewing machines based on the analysis of the thread take-up process. These recommendations are intended to help manufacturers and machine operators achieve maximum productivity and increased product quality, while taking into account the specific technological parameters of the operations performed on these machines. The research is aimed at increasing the efficiency of the sewing process, reducing machine setup time, and improving the overall result of the technological process in the sewing industry. The research uses an analytical method of determining and investigating functions of the actual thread take-up as the instantaneous sum of sections of the take-up contour when adjustable parameters of the mechanisms are changed, taking into account accepted assumptions. In the research, an analytical method was used to determine functions of the actual thread take-up as the instantaneous sum of sections of the take-up contour, taking into account the change in regulated parameters of the mechanisms. At the same time, assumptions were made that has simplified analysis and modelling of this process with sufficient accuracy of calculation results. The scientific novelty of this research lies in discovery of new relationships and establishment of regularities that determine influence of adjustable parameters on the nature and scope of the thread take-up function in chain stitch machines. Further re-search in this area can be aimed to the development of more efficient methods of adjustment and optimization of needle thread take-up mechanisms, as well as to the implementation of new technologies in pro-duction to improve productivity and quality of sewing operations. The obtained results became basis for the development of nomograms for determining the optimal values of adjustable parameters for needle thread take-up mechanisms of typical flat chain stitch machines, taking into account technological parameters of specific operations. These nomograms allow operators and manufacturers of sewing machines significantly simplify adjustment of these mechanisms when using operational equipment or when switching to other technological operations. The obtained results can be applied directly in production during adjustment or repairing of specified ma-chines to increase their productivity by reducing adjustment time and for improving the quality of the technological process.

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Rogale, Dubravko, Snježana Firšt Rogale, Željko Knezić, and Siniša Fajt. "New Method for Determining the Machine-Hand Welding Times Using Ultrasonic Welding Machines with Rotary Sonotrode." Machines 9, no. 12 (December 2, 2021): 330. http://dx.doi.org/10.3390/machines9120330.

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The paper presents a new method for determining the machine-hand welding times of synthetic polymer materials using ultrasonic welding machines with rotary sonotrode. The method is based on the claims and observations of W. Möller intended for the clothing industry in the 1990s, according to which there is a spontaneous drop in sewing speed when strongly curved seams are joined, which is due to the possibility of human reactions. The method for determining machine-hand sewing times of curved seams was well accepted in garment production processes. It is used to standardize production time. Using ultrasonic welding machines with rotary sonotrode, the problem of determining the time of ultrasonic joining of curved seams on clothing or technical textiles remained unsolved. That is why is completely new and original model was created, which combines eight technical parameters of ultrasonic welds, eight technological parameters of the production process and seven ergonomic parameters depending on the psychophysical conditions of the workers. The systematic development of the mathematical relationship of all 23 parameters mentioned and the corresponding mathematical expressions for determining and calculating these parameters are presented. These results were also verified by experimental measurements, which show a favourable correlation between the calculated and measured machine hand times. The relationships between the recommended welding speeds, the critical radii of curvature and the number of reactions required according to Möller and the new model are also presented. An analysis of the success in the application of Möller’s and the new model was also performed.

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Shekarian, Reyhaneh, Sayyed Mahdi Hejazi, and Mohammad Sheikhzadeh. "A model on the viscoelastic behavior of sewn knitted fabrics." International Journal of Clothing Science and Technology 31, no. 3 (June 3, 2019): 362–75. http://dx.doi.org/10.1108/ijcst-12-2016-0135.

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Purpose Knitted fabrics have been widely used in a wide range of applications such as apparel industry. Since these fabrics are continuously subjected to the long-term tensile stresses or tensile creep in real conditions, investigation of viscoelastic behavior of sewn knitted fabrics would be important especially at the seamed area. The paper aims to discuss this issue. Design/methodology/approach A lockstitch machine was used to produce sewn samples by knitted fabric. Factors such as stitch per inch (SPI), thread tension and thread type were variables of the model. Tensile creep tests under constant load of 200 N were conducted, and creep compliance parameter D(t) of samples was obtained as a response variable. A successive residual method (SRM) was also used to characterize viscoelastic properties of sewn-seamed fabrics. Findings The instantaneous elastic responses of the seamed samples were less than those of the neat fabric (fabric with no seam). An increase in sewing thread strength increases the instantaneous elastic response of the sample. SPI and thread tension have an optimum value to increase E0. High tenacity polyester thread, due to its higher elastic modulus, caused a larger E0 than polyester/cotton thread in sewn knitted fabric. Characteristics of seam including sewing thread type, SPI and sewing tension have significant influence on T0. Sewn-seamed fabric by high modulus thread shows less viscous strain T0 than the neat fabric (fabric with no seam). Viscous strain T0 decreases as SPI changes from 8 to 4 and/or 12. SPI and thread tension have an optimum value to increase the viscous strain T0. E1 is the same for optimum seamed fabric and fabric sample but T1 is about two times greater for seamed fabric. Retarded time for creep recovery increases by sewing process but characteristics of seam have significant influence on E1 and T1. All sewn knitted fabric samples used in this study could be described by Burger’s model, which is a Maxwell model paralleled with a Kelvin one. Originality/value This paper is going to use a different method named successive residuals to model the creep behavior of seamed knitted fabric. On the whole, this paper paved a way to obtain viscoelastic constants of sewn-seamed knitted fabrics based on different sewing parameters such as the modulus of elasticity of the sewing thread, SPI and sewing thread tension.

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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 (September 21, 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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Rashid, Zahid, and Matthias Rötting. "Evaluation of Manual Skill Degradation Due to Automation in Apparel Manufacturing." Applied Sciences 11, no. 23 (November 23, 2021): 11098. http://dx.doi.org/10.3390/app112311098.

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Manual skill degradation is a common problem that production managers face in assembly lines due to frequent changes in batch styles. Since the advancement in automated machinery, reliance on manual machines has been reduced. However, due to the high cost of fully automated machinery, it is still not available on a large scale in apparel manufacturing setups as most of the setups are in developing countries. Few related studies regarding the effects of automation on manual skills have been conducted in aviation and other emerging technological advanced fields; little focus was given on the effects of automation in apparel manufacturing. This exploratory study examines automation-induced performance degradation in the apparel production line. Sixty-seven sewing machine operators were initially trained on manual sewing machines to learn a complex production operation. Then, participants were divided randomly into three groups to experience varied amount of automation exposure. The manual machine group (MMG)kept working on the manual machines after the initial training and skill development. In contrast, the automation group (AG) shifted to automated pocket setting machines after skill development. Finally, the refresher training group (RTG) rotated between manual and automated machines after the skill development. The skill retrieval assessment was carried out after six weeks in the production line. The result of an independent t-test showed no significant differences among performances of the three groups after the initial training stage. A significant increase in the average single cycle time (ASCT) and decrease in the right-first-time percent (RFT %) was found in the AG while the ASCT decreased and the RFT% increased among the MMG after the retention interval. The RTG almost maintained its production output and the ASCT due to refresher training drills. Relevance to industry: Production managers usually maintain a skill set among the operators to run the production line smoothly. Therefore, capacity development drills of sewing operators are essential to maintain an efficient required skill set.

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Habib, Ahsan, and Kamrul Hassan Bhuiyan. "Optimized Process 8 SMV of Five Pockets Denim Trouser for Higher Productivity." International Journal of Current Engineering and Technology 11, no. 03 (May 5, 2021): 300–305. http://dx.doi.org/10.14741/ijcet/v.11.3.1.

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This study tries to measure the Standard Minute Value (SMV) of five pockets denim trouser (ladies). Traditional production system of garment manufacturing causes lower productivity, poor line balancing, longer production time, more lead-time ultimately increases the cost of Garment and profit margin becoming lower. This paper will provide an inclusive idea for making a five pockets denim trouser where a best optimization of line balancing, machine requirements, man power allocation, operational sequence of the manufacturing process as well as setting a feasible target for achieving higher efficiency. The data and information of this experiment may directly help to planning department, sewing production department as well as Industrial Engineering department in a RMG Industry for minimizing the product cost and achieving the higher profit margin.

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Karunanayake, D. R. N. S. K., and S. S. Weligamage. "Effects of quality of work-life on turnover intention: evidence from Sewing Machine Operators in Sri Lankan apparel industry." Kelaniya Journal of Human Resource Management 11, no. 2 (July 31, 2016): 59. http://dx.doi.org/10.4038/kjhrm.v11i2.29.

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Bui, Trong Hieu, and Thanh Huy Phung. "Design and fabrication of precise shoeupper feeder system for screen printing machine in shoe industry." Science and Technology Development Journal 18, no. 1 (March 31, 2015): 5–15. http://dx.doi.org/10.32508/stdj.v18i1.936.

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The feeding stage of sport shoe-upper for automatic screen printing machine for printing press-segments on shoe-upper exists the following issues: Firstly, the locating shoe-uppers on the conveyor of screen printing machine is made by hand and based on the experience of workers. So, this reduces productivity and increases the cost of the product. Secondly, there are deviations of the press-segments on shoeupper after printing (the current deviation is ± 1 mm). So, these are affected to the next stage of sewing contour lines on the shoe-upper. Currently, the shoe manufacturing company in Vietnam wish solve these problems, but so far, in addition to resolve manually there is no feasible method has been given. In this paper, a precise position control of shoe-upper for screen printing machine using image processing techniques is introduced. A camera is used to capture the image of shoeupper. The binary image of shoe-upper is used for image processing to recognize the position errors in directions of X, Y and θ coordinates. A new algorithm to calculate the position errors of shoeupper is proposed in this paper. The shoe-upper is locating on X - Y - θ tables which can move X, Y directions and rotating angle. These tables are controlled by three servo motors. The mission of X - Y - θ tables are adjustable positioning accuracy of the shoes-upper by comparing the current position with its standard position that has been previously stored in the computer. The effectiveness of the calculation algorithm of shoeupper errors and the high accuracy of image processing and mechanical system are proven through experimental results

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Yashini, J. "An Analysis on Minimization of Product Error (Poka-Yoke) and Excess Work in Progress (TPM & OEE) in Textile Industry." International Journal of Research in Engineering, Science and Management 3, no. 9 (September 13, 2020): 17–22. http://dx.doi.org/10.47607/ijresm.2020.278.

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The rapid change in textile styles, deviation of order quantities and increasing quality levels at the lowest possible cut-rate, demand the textile manufacturing industry to be focused on more effective and efficient manufacturing processes for survival in an immensely competitive market. To increase the productivity of the textile industries we need to reduce the manufacturing defects and time to manufacture the product. Lean is the tool to reduce the wastage in all process of textile manufacturing, reducing cost and value added to the product. This paper proposes the lean tool like POKA-YOKE, DPMO, cause and effect diagram &OEE to reduce the overall product error and work-in-progress. Analysis covers the area of c poka - yoke which is any effort to eliminate human errors in the system. In short, Error=mistakes = defects. Therefore, the removal and control of errors eliminates defects. And specific section of sewing line was OEE is applied to investigate the existing condition of machine and provide recommendation to improve present condition in Classic Polo Textile industry to reduce work-in-progress.

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Ranaweera, R. N. M. P., R. M. K. T. Rathnayaka, and L. L. Gihan Chathuranga. "Optimal Cut Order Planning Solutions using Heuristic and Meta-Heuristic Algorithms: A Systematic Literature Review." KDU Journal of Multidisciplinary Studies 5, no. 1 (July 11, 2023): 86–97. http://dx.doi.org/10.4038/kjms.v5i1.66.

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Cut order planning is a significant task in the apparel industry which determines the fabric spreading layout that can affect different aspects of the apparel industry including the cost of garments, the efficiency of the sewing line, etc. Due to the nature of the cut order problem, it is very hard to determine an optimal solution for the cut order plan although there are ready-made software and also industry experts working on this. Hence, various attempts have been made to optimize it by using machine learning algorithms in the modern world. This review aims at identifying how heuristic and meta-heuristic algorithms are used to optimize the cut-order planning solutions to obtain a near-optimal solution. Furthermore, the lack of research limits it down to 13 papers to be reviewed, and this paper discusses the methodologies and algorithms used, research parameters, issues, and future areas that need to be investigated for the cut order problem. The review shows that the genetic algorithm is widely used to optimize the cut-order plans by adopting the hybridization approaches along with some other meta-heuristic algorithms such as simulated annealing, tabu search, etc. Experimental results indicate that researchers were able to minimize fabric waste by optimizing the cut order plans.

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JAFFEL MEMMI, NAHED, NAJEH MAÂTOUG, NAJEH CHEMKHI, and FAOUZI SAKLI. "Evaluation of psychological occupational health constraints according to the Karasek model among female sewing machine operators in Tunisia." Industria Textila 75, no. 02 (April 30, 2024): 137–41. http://dx.doi.org/10.35530/it.075.02.1594.

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Stress has become a major concern of modern times as it can cause harm to employee’s health and performance. Mental health is a fundamental constituent of occupational health. Scientific studies on psychological occupational health in the textile industry are relatively rare in Tunisia. This study seeks to estimate the rate of occupational stress, reveal associated factors and design strategies and ways to improve the work situations in a clothing company in the Monastir region. We performed a transversal study among female sewing machine operators. For the evaluation of professional stress, we used the Karesek questionnaire, a validated self-administered questionnaire. To carry out the descriptive analyses, we estimated frequencies and odds ratios (ORs). To explore associations linking organizational and socio-demographic variables and stress, we calculated adjusted ORs using a logistic regression model. As a result, the present study pointed out a strong degree of stress among operators: 30% of study participants reported that they were suffering from stress according to the Karasek stress scale. Our study revealed a statistically relevant correlation between stress and age, work experience, perceived non-adaptation of the task, and a poor perception of the organization. Stress is related to multiple socio-professional determinants. Most operators needed ergonomic interventions and prevention and risk management recommendations. Evaluation of the width of psychosocial risk factors at the workplace enables preventive strategies to preserve operators' mental health.

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Naruševičiūtė-Skripkienė, Edita, Beatričė Moskalionė, Aistė Audickaitė, Jūratė Grigaitienė, and Matilda Bylaitė-Bučinskienė. "Garment industry in Lithuania: a study of self-reported dermatological problems." Acta medica Lituanica 22, no. 3 (December 16, 2015): 129–35. http://dx.doi.org/10.6001/actamedica.v22i3.3195.

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Background. According to our knowledge, there are no official medical statistics about skin problems of Lithuanian textile workers. The aim of the study is to evaluate work related skin problems in this occupational field, their character, and what alterations if any can be carried out. Materials and methods. A self-reported anonymous survey was carried out in 12 randomly selected textile factories from 6 cities of Lithuania in 2013–2014. Data were analyzed by SPSS v21.0. Results. 91% of all the employees (551) were females with the mean experience in textile industry of 14.2 years (SD 7.2). The majority (63%) of the respondents were sewing machine operators. The most commonly mentioned risk factors were textile (89.7%) and dust (36.8%) containing different chemical substances that we did not analyze in our study. 83.1% of the respondents had no air conditioning systems at their working place. Atopic skin diseases were declared by 165(30%) workers. 208(37.7%) participants complained about skin problems. Dermatological treatment was received by 190(91.4%) respondents (topical corticosteroids, antibiotics and emollients) and was effective in 74.7% of all cases. Almost all of the respondents (97%) declared having no training about occupational skin problems and skin protection measures during apprenticeship, though 59% of them pointed out it would be desirable. Still, the usage of emollients at work is rather high – 76.6%. Conclusions. Our study highlighted that improvement is needed in pre-occupational councelling and working conditions.

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Godley, Andrew. "Singer in Britain: The Diffusion of Sewing Machine Technology and its Impact on the Clothing Industry in the United Kingdom, 1860–1905." Textile History 27, no. 1 (January 1996): 59–76. http://dx.doi.org/10.1179/004049696793711725.

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Zulfiqar, Aqsa, Talha Manzoor, Muhammad Bilal Ijaz, Hafiza Hifza Nawaz, Fayyaz Ahmed, Saeed Akhtar, Fatima Iftikhar, Yasir Nawab, Muhammad Qamar Khan, and Muhammad Umar. "Artificial-Neural-Network-Based Predicted Model for Seam Strength of Five-Pocket Denim Jeans: A Review." Textiles 4, no. 2 (April 22, 2024): 183–217. http://dx.doi.org/10.3390/textiles4020012.

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This study explores previous research efforts concerning prediction models related to the textile and polymer industry, especially garment seam strength, emphasizing critical parameters such as stitch density, fabric GSM, thread type, thread count, stitch classes, and seam types. These parameters play a pivotal role in determining the durability and overall quality of denim jeans based on cellulosic polymer. A significant focus is dedicated to the mathematical computational models employed for predicting seam strength in five-pocket denim jeans. Herein, the discussion poses the application of AI for manufacturing industries, especially for textile and clothing sectors, and highlights the importance of using a machine learning prediction model for sewing thread consumption, seam strength analysis, and seam performance analysis. Therefore, the authors suggest the significant importance of the machine learning prediction model, as future trends anticipate advancements in AI-driven methodologies, potentially leading to high-profile predictions and superior manufacturing processes. The authors also describe the limitation of AI and address a comprehensive model of risk outlines of AI in the manufacturing-based industries, especially the garments industry. Put simply, this review serves as a bridge between the realms of AI, mathematics, and textile engineering, providing a clear understanding of how artificial-neural-network-based models will be shaping the future of seam strength prediction in the denim manufacturing landscape. This type of evolution, based on ANN, will support and enhance the accuracy and efficiency of seam strength predictions by allowing models to discern intricate patterns and relationships within vast and diverse datasets.

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Gumulya, Devanny. "Eksplorasi material daur ulang kantong plastik dengan teknik origami." Productum: Jurnal Desain Produk (Pengetahuan dan Perancangan Produk) 4, no. 1 (February 2, 2021): 15–24. http://dx.doi.org/10.24821/productum.v4i1.3981.

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Shopping plastic bag is a thermoplastic type LDPE and HDPE, that can be heated with hotpress. Through this recycling process come new material that can used for product material. The recycle plastic material has a lot of potential to be used as a product application. market research From founded many brands that try to recycle plastic still using another new material to give support to the plastic recycle material. Origami is a paper folding art that is commonly known by everyone. The study tried to apply the origami technique on recycled plastic bag material that has been heated with hotpress machine. With origami technique 90% the product can be made with this material entirely without the help of sewing and other materials. This is seen as an opportunity for the market that still use many new materials to support this material. The folding gives construction to the one sheet material and give new function to the recycle plastic material. The research uses experimental method. Series of paper origami patterns are applied on the recycle material, till founded several folding that can be apply on the recycle plastic sheet material. The research result is a variety of functional products made with origami techniques that have been egistered design industry copy wright.

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Mauluddin, Yusuf, Dewi Rahmawati, Azmi Akmal Lutfi, and Ripki Abdul Aziz. "Quality Improvement Plan for Leather Sandal Products to Reduce Defects." International Journal of Business, Economics, and Social Development 4, no. 3 (August 18, 2023): 185–96. http://dx.doi.org/10.46336/ijbesd.v4i3.486.

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CV. Rama Raiders was a home industry engaged in the fashion sector. The business had seven main stages of the production process: selecting materials, making patterns, cutting techniques, sewing processes, gluing processes, finishing/quality control, and packaging in carrying out production activities to achieve the desired quality CV. Rama Raiders still faces several obstacles, one of which is the presence of defective products produced, which causes product quality to decline. This research aims to identify the factors that cause sandals defects in CV. Rama Raiders. The methodology used the Seven tools and FMEA methods to determine the process of controlling leather sandal product defects using qualitative data. Corrective action plans used the 5W+1H concept to address each root cause of the problems. The results were that the most dominant type of defect in leather sandals was a type of glue defect that was not neat. The appearance was because of human and machine factors that didn't work optimally, tools that didn't support it, materials that didn't fit, inadequate environment, and no standard operating procedures. The improvements made by changing the glue, adding a brush, and making SOP improved the quality. From this research, the methods help reduce the problem of product defects experienced by the company

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Lee, Tzong Ru, Tsung Yu Tuan, and Man Chen Liu. "The application of fuzzy analytic hierarchy process for supply chain decision making: a case study of original brand manufacturing of the sewing machine industry in Taiwan." International Journal of Management and Decision Making 9, no. 2 (2008): 154. http://dx.doi.org/10.1504/ijmdm.2008.017197.

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Fibriani, Lenny, Annisa Kesy Garside, and Ikhlasul Amallynda. "LEAN SIX SIGMA APPROACH TO IMPROVE THE PRODUCTION PROCESS IN THE GARMENT COMPANY: A CASE STUDY." Journal of Engineering and Management in Industrial System 11, no. 2 (December 31, 2023): 153–68. http://dx.doi.org/10.21776/ub.jemis.2023.011.02.7.

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PT “X” is a company engaged in the garment industry. The company is facing problems that inhibit the production process. These problems comprise an excess of product defects beyond the specified limits, a considerable rate of product returns, delays in product shipment, and disorderly arrangements in storing raw material. This study aims to determine the root causes of problems in the PT “X” and provide recommendations for improvement using the concept of lean six sigma. The waste assessment model is used to identify the dominant waste, while the value stream analysis tools is a method used to analyze the causes of the dominant waste. From the research results, four dominant wastes are identified, namely waste defects, unnecessary inventory, waiting and unnecessary motion, with percentages of 27.02%, 15.92%, 14.32% and 14.0% respectively. The results of the analysis using mapping tools show the details of waste in each dominant waste. Proposed recommendations for improvement are made using the failure mode and effect analysis based on the highest risk priority number for each dominant waste. The recommendations proposed by the researchers include implementing a standard operating procedure and work instruction for the sewing process; scheduling machine maintenance using reliability centered maintenance II; planning and scheduling materials using material requirement planning; implementing line balancing; and designing name tags, visual displays, and storage rack layout.

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Journal articles on the topic 'Sewing-machine industry'

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