Academic literature on the topic 'Garment sorting'

This paper documents research into repetitive motion injuries (RMIs) occurring at a used garment sorting facility, with a focus on the Poisson distribution model and associated time interval analysis. Time interval analysis is used to confirm existence of a Poisson process. The Poisson process and distribution is then implemented to model the occurrence of RMIs at the target facility, as well as employed in a proactive effort to track and reduce RMIs. As a major player within this labor-intensive industry, the industrial partner experiences a significant number of repetitive motion injuries (RMIs). Analysis is provided on the Poisson process, and the salient RMI risk factors and ergonomic principles that might affect application of the Poisson distribution model. This paper also reviews proposed methodologies for collecting RMI risk factor data, tracking RMI accident or “incident” data, gathering population-specific anthropometric data, and developing RMI hazard reduction strategies. The Poisson model is presented as a structured methodology for the prediction and control of repetitive motion injuries.

Low-carbon production has become one of the top management objectives for every industry. In garment manufacturing, the material distribution process always generates high carbon emissions. In order to reduce carbon emissions and the number of operators to meet enterprises’ requirements to control the cost of production and protect the environment, the paths of material distribution were analyzed to find the optimal solution. In this paper, the model of material distribution to obtain minimum carbon emissions and vehicles (operators) was established to optimize the multi-target management in three different production lines (multi-line, U-shape two-line, and U-shape three-line), while the workstations were organized in three ways: in the order of processes, in the type of machines, and in the components of garment. The NSGA-II algorithm (non-dominated sorting genetic algorithm-II) was applied to obtain the results of this model. The feasibility of the model and algorithm was verified by the practice of men’s shirts manufacture. It could be found that material distribution of multi-line layout produced the least carbon emissions when the machines were arranged in the group of type.

This study seeks to advance upcycling methods in fashion practice with the specificity of design methods that centre on revaluation and resignification of waste materials. The development of three key approaches to upcycling were tested for future application as design briefs and pedagogies in practice and education. These were developed through the acquisition, sorting and selection of a large sample of secondhand, consumer waste materials across fashion and textiles sectors. Practice-based experiments and the use of different forms of photo documentation examined and explored distinct ways to creatively understand waste material properties, conditions and potential. Fashion and material studies frameworks of object biographies, wardrobe studies, waste, secondhand material economies and art practice approaches of reclaimed materials expanded and refined the approaches. “Material Inventories” is proposed as a creative and analytical method to identify, sort and annotate pre- and post-consumer waste materials. “Garment ontologies” delineates how traditionally “design” in fashion practice is separate from materials and production. These methods enable a deeper investigation into material qualities, conditions, and reuse potential for extended life cycles. This experimental study presents novel and relevant findings with a compelling material sample and practice-based methods adjacent to scholarship in this area that are predominately theoretical- or case study-based.

Aiming at the intelligent production line scheduling problem, a production line scheduling method considering multiple constraints was proposed. Considering the constraints of production task priority, time limit, and urgent task insertion, a production process optimization scheduling calculation model was established with the minimum waiting time and minimum completion time as objectives. The BAS was used to solve the problem, and a fast response mechanism for emergency processing under multiple constraints was established. Compared with adaptive particle swarm optimization (APSO) and non-dominated sorting genetic algorithm-II (NSGA-II) operation, this algorithm showed its superiority. The practical application in garment processing enterprises showed that the method was effective and can reduce the completion time and waiting time.

Manufacturing flexibility is a widely accepted manufacturing strategy for mitigating the negative impacts of environmental uncertainty on firm performance and is also a required strategic attribute to acclimatize mass customization and agile manufacturing. Manufacturing flexibility has been adequately studied for technology-intensive industries but remains inadequately addressed for labor-intensive industries. In this study, a framework is proposed for sorting the relevant manufacturing flexibility types for the relevant environmental uncertainty types as an initial step towards implementing manufacturing flexibility in labor-intensive industries. This study considered the RMG (ready-made garment) industries in Bangladesh, which are mostly labor-intensive, as a case. Different types of manufacturing flexibility and environmental uncertainty were identified through a deductive approach from the existing literature and theory. Then, final sorting was conducted through a focus group discussion using the analytical hierarchy process (AHP) and decision making trial and evaluation laboratory (DEMATEL) techniques. This study revealed that demand, competitor, supplier, and technology uncertainty were ranked sequentially from first to fourth. This study also revealed that demand and competitor uncertainty would be the first-line focus, and supplier uncertainty the second-line focus, of decision makers. Similarly, new product, volume, workforce, and modification flexibility were ranked sequentially from first to fourth, and these would be considered first-line focuses by decision makers. This study also showed that all types of environmental uncertainties had an internal effect (one type affects another type within the types of environmental uncertainty). Internal effects among the different types of manufacturing flexibility were also identified. This study contributes to the theory of manufacturing flexibility for labor-intensive industries and will help decision makers gradually implement manufacturing flexibility based on their capacity and goal.

Perceiving and handling deformable objects is an integral part of everyday life for humans. Automating tasks such as food handling, garment sorting, or assistive dressing requires open problems of modeling, perceiving, planning, and control to be solved. Recent advances in data-driven approaches, together with classical control and planning, can provide viable solutions to these open challenges. In addition, with the development of better simulation environments, we can generate and study scenarios that allow for benchmarking of various approaches and gain better understanding of what theoretical developments need to be made and how practical systems can be implemented and evaluated to provide flexible, scalable, and robust solutions. To this end, we survey more than 100 relevant studies in this area and use it as the basis to discuss open problems. We adopt a learning perspective to unify the discussion over analytical and data-driven approaches, addressing how to use and integrate model priors and task data in perceiving and manipulating a variety of deformable objects.

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

This community empowerment activity was implemented at the initiative of the Karang Taruna community in Bojonghaleuang Village, West Bandung Regency. This activity was intended to provide briefing and creativity training for youth organizations so that they would develop creativity that can be developed into commodity product businesses that are needed by the community. Garment scraps, leftover production and sorting/rejects that are abundant in the city of Bandung require community cultivation. The method used was the cooperative demonstration and practical making of decorative sandals, following modules that were taught both online and onsite, and applied in practice. Then, the youth group can re-explore the sandal model in another form that is more attractive, according to creativity, and can then meet market tastes. This training has many benefits, namely developing youth creativity, increasing the value of the benefits of leftover fabrics or rejected products into commodities of economic value. The utilization of textile waste as a self-supporting commodity for Karang Taruna really helps improve environmental sustainability in the city of Bandung. As a result of this activity, the Karang Taruna community was very enthusiastic about doing the exercises, able to produce interesting sandal creations, even some youth organizations have received purchase orders from the surrounding community.

Purpose The purpose of this paper is to explore the drivers, inhibitors and enablers of creating a textile-to-textile recycling system in the Scandinavian fashion industry. It investigates the technology, innovation and systemic changes required to enable circular supply chains. Design/methodology/approach The research study uses a qualitative, interpretivist approach, drawing on in-depth semi-structured interviews with stakeholders in the Scandinavian fashion industry. Findings The main inhibitors to textile-to-textile recycling systems in the Scandinavian fashion industry are: limited technology which creates a challenge for separating materials; high costs of research and development and building the supporting logistics; complexity of supply chains including the multitude of stakeholders involved in product development. The enablers are design and use of new materials, increased garment collection and collaboration. This research suggests that sorting and recycling technology can be enhanced with the use of digital technologies, as this would create transparency, traceability and automatisation. Research limitations/implications The research is limited by a small sample size and lack of representation of all key stakeholder groups, which limits the ability to generalise these findings. However, as an exploratory study, the findings provide insights that can be further tested in other contexts. Originality/value Understanding of textile-to-textile recycling is emerging both theoretically and practically, however, there is still much that is not understood. This research contributes to furthering understanding of how technology, collaboration and systemic change in the fashion industry can support opportunities for textile-to-textile recycling, thereby aligning with circular economy principles.

Post-consumer bio-based textile wastes are any type of garment or household article made from manufactured bio-based textiles that the owner no longer needs and decides to discard. According to the hierarchy of waste management, post-consumer textile waste should be organically recycled. However, there is still a problem with the implementation of selective collection of textile waste followed by sorting, which would prepare the waste for organic recycling. A technically achievable strategy for sorted textile waste materials consisting of only one type of fiber material, multi-material textiles are a problem for recycling purposes. Waste textiles are composed of different materials, including natural as well as synthetic non-cellulosic fibers, making bioprocessing difficult. Various strategies for recovery of valuable polymers or monomers from textile waste, including concentrated and dilute acid hydrolysis, ionic liquids as well as enzymatic hydrolysis, have been discussed. One possible process for fiber recycling is fiber recovery. Fiber reclamation is extraction of fibers from textile waste and their reuse. To ensure that organic recycling is effective and that the degradation products of textile waste do not limit the quality and quantity of organic recycling products, bio-based textile waste should be biodegradable and compostable. Although waste textiles comprising a synthetic polymers fractions are considered a threat to the environment. However, their biodegradable part has great potential for production of biological products (e.g., ethanol and biogas, enzyme synthesis). A bio-based textile waste management system should promote the development and application of novel recycling techniques, such as further development of biochemical recycling processes and the textile waste should be preceded by recovery of non-biodegradable polymers to avoid contaminating the bioproducts with nano and microplastics.

This project aims to study the feasibility of visual computing (VC) and machine learning (ML) method applied in the textile recycle industry for efficiently manages the post-consumer textile waste. It includes an image-based VC technology for supporting textile waste reuse and resale, and a material identification system for sorting textile materials by using near infrared (NIR)/hyperspectral spectroscopy technology to support efficiently recycling to reuse the textile fibre will be evaluated. The process involved collecting and validating reference samples and applying ML technique to auto recognize the garment type and features applying visual technology; afterward, the sorted garments would be measured and pre-treated by NIR/hyperspectral spectrum and building up the parameters for spectral patterns calculation for recycling process recover the fibre. The main part of the study is to proof of the concept for using VC and ML method for identifying the textile fibre in the recycling process.

Radio-frequency identification (RFID) and mechatronic technology has been applied to a laundry sorting system which can potentially be used by rest homes in the future to reduce the labour intensity of care givers, to increase the efficiency of laundry sorting, and to reduce the chance of garments being lost. A laboratory laundry identifying and sorting conveyor belt has been built. Several different types of RFID labels/tags have been considered and tested. A type of small RFID laundry tag, suitable for the laundry sorting conditions of a rest home, has been selected. The laundry tags have undergone endurance testing under actual washing and drying conditions with typical commercial laundry chemical products used in rest homes. There was a major challenge using commercial RFID tags in the proposed intelligent laundry sorting system due limitations in their antenna and signal receiving systems. A strategy to coordinate the orientations of the tags, range of the antenna, and the amplification of signal receiving units has been investigated. Several antenna designs to improve the identification rate have been tested and analysed for the selected small laundry tags, since the tag-receiver system has to work beyond the recommended range. A programme for signal detection and processing has been produced. The programme has taken into consideration the speed of the conveyor belt, antenna receiving range and the time required to process signals. It works with satisfactory precision at a satisfactory speed. A sorting strategy for implementation after laundry garment identification has been investigated. This strategy considers aspects of simplicity, multifunction and compactness of mechanical structure. A virtual sorting system has been produced to test the principles of the sorting strategy and the antenna design. The results of these tests will help us to move to the next stage, the design of a prototype laundry sorting system.