In January and February of 2025,China's textile and clothing exports totaled 42.88 billion US dollars,marking a 4.5%decrease compared to the same period in the previous year.The primary factors contributing to thi...In January and February of 2025,China's textile and clothing exports totaled 42.88 billion US dollars,marking a 4.5%decrease compared to the same period in the previous year.The primary factors contributing to this decline are as follows:First,China’s textile and clothing exports nearly reached USD 45 billion in January and February of 2024,setting a high base.Second,in order to avoid tariffs imposed by the United States,enterprises generally concentrated their exports at the end of last year and January this year.展开更多
This work addresses the cut order planning(COP)problem for multi-color garment production,which is the first step in the clothing industry.First,a multi-objective optimization model of multicolor COP(MCOP)is establish...This work addresses the cut order planning(COP)problem for multi-color garment production,which is the first step in the clothing industry.First,a multi-objective optimization model of multicolor COP(MCOP)is established with production error and production cost as optimization objectives,combined with constraints such as the number of equipment and the number of layers.Second,a decoupled multi-objective optimization algorithm(DMOA)is proposed based on the linear programming decoupling strategy and non-dominated sorting in genetic algorithmsⅡ(NSGAII).The size-combination matrix and the fabric-layer matrix are decoupled to improve the accuracy of the algorithm.Meanwhile,an improved NSGAII algorithm is designed to obtain the optimal Pareto solution to the MCOP problem,thereby constructing a practical intelligent production optimization algorithm.Finally,the effectiveness and superiority of the proposed DMOA are verified through practical cases and comparative experiments,which can effectively optimize the production process for garment enterprises.展开更多
The Garment MTM enables to realize the individual and quick manufacture to meet the development of the per- fectly popular and various garment industry,whose core technology is to produce the individual and digital pa...The Garment MTM enables to realize the individual and quick manufacture to meet the development of the per- fectly popular and various garment industry,whose core technology is to produce the individual and digital pattern,that is,get- ting the individual pattern-making according to the body information.It is relatively correct and wise to get the individual pattern by modifying the basic pattern and the experts in this field do their researches on this way.One vital and unsolved problem is that how to find the very pattern which is the closest to the customers in the pattern-database which determines the validity of the final pattern.We conclude a technology methods from body information to digital pattern,design the rule of seeking yards and pattern- modification,build the B-P system (the system of the quick manufacture technology of body information-digital pattern),set up the style database,yarn database,pattern database,the rule databases of seeking yards and pattern-modification.It is confirmed that the B-P system is available,the setting-up of all the databases in the system is reasonable and the final pattern is correct.展开更多
Background Intelligent garments,a burgeoning class of wearable devices,have extensive applications in domains such as sports training and medical rehabilitation.Nonetheless,existing research in the smart wearables dom...Background Intelligent garments,a burgeoning class of wearable devices,have extensive applications in domains such as sports training and medical rehabilitation.Nonetheless,existing research in the smart wearables domain predominantly emphasizes sensor functionality and quantity,often skipping crucial aspects related to user experience and interaction.Methods To address this gap,this study introduces a novel real-time 3D interactive system based on intelligent garments.The system utilizes lightweight sensor modules to collect human motion data and introduces a dual-stream fusion network based on pulsed neural units to classify and recognize human movements,thereby achieving real-time interaction between users and sensors.Additionally,the system incorporates 3D human visualization functionality,which visualizes sensor data and recognizes human actions as 3D models in real time,providing accurate and comprehensive visual feedback to help users better understand and analyze the details and features of human motion.This system has significant potential for applications in motion detection,medical monitoring,virtual reality,and other fields.The accurate classification of human actions contributes to the development of personalized training plans and injury prevention strategies.Conclusions This study has substantial implications in the domains of intelligent garments,human motion monitoring,and digital twin visualization.The advancement of this system is expected to propel the progress of wearable technology and foster a deeper comprehension of human motion.展开更多
Bangladeshi textile and garment sectors defied the global challenges over the last five years and continued to grow although the growth momentum was not so strong before the COVID-19 pandemic.Before the start of the p...Bangladeshi textile and garment sectors defied the global challenges over the last five years and continued to grow although the growth momentum was not so strong before the COVID-19 pandemic.Before the start of the pandemic,both the textile and garment sectors were growing at a higher rate because of rising demand from the international clothing retailers and brands because of two main reasons including the trade war between USA and China and competitive prices of locally made garment.展开更多
Vietnam's textile and garment industry has fulfilled its 44-billion-USD export turnover target in 2024,an increase of over 11%compared to 2023,thanks to efforts in market diversification,technological innovation,a...Vietnam's textile and garment industry has fulfilled its 44-billion-USD export turnover target in 2024,an increase of over 11%compared to 2023,thanks to efforts in market diversification,technological innovation,and effectively capitalising on the shift in orders.展开更多
The garment industry in Bangladesh is a pivotal sector that drives the country's economy,contributing significantly to its foreign exchange earnings.However,the path to sustaining and growing this industry is frau...The garment industry in Bangladesh is a pivotal sector that drives the country's economy,contributing significantly to its foreign exchange earnings.However,the path to sustaining and growing this industry is fraught with challenges,particularly in the context of order completion,financial management,and secto rwide suppo rt.With the strength of its three pillars,the industry is moving forwa rd with an ambitious vision of achieving a$100 billion export target by 2030.This goal,however,seems impossible without ro bust government support.展开更多
目的针对服装工业传统服装人工分拣准确度差、效率低和自动化程度不足等问题对其进行智能化系统化的管理与设计,以提高分拣效率与生产能效。方法结合服装生产流水线,基于挂钩式分拣系统与无线射频识别技术(Radio Frequency Identificati...目的针对服装工业传统服装人工分拣准确度差、效率低和自动化程度不足等问题对其进行智能化系统化的管理与设计,以提高分拣效率与生产能效。方法结合服装生产流水线,基于挂钩式分拣系统与无线射频识别技术(Radio Frequency Identification,RFID)分析设计服装生产-分拣-传输-包装的系统化流程。重点针对RFID在复杂工业环境中的多标签冲突、读取误差与路径追踪等问题,提出了包含动态帧调整、防碰撞优化、RSSI信号建模、轨迹识别与贝叶斯补偿等在内的算法优化策略,并构建与调度系统的协同控制机制。结果智能分拣传送系统解决了原本分拣包装周期长、效率低下、分拣混淆等问题,建立了完整的上架-入库-出库-包装智能分拣流程。结论本文对服装产业的智能系统分拣进行了研究分析,探究了智能分拣系统的关键技术和应用现状及发展趋势,并通过挂钩式分拣系统与RFID技术对生产效率的改善作用进行分析,为服装企业引入智能分拣系统提供理论分析和技术支持。展开更多
为解决消费者绿色服装购买积极性不高的问题,以Web of Science和中国知网数据库为来源,综合运用CiteSpace、bibliometrix和VOSviewer软件对绿色购买行为激励机制的相关文献作发文趋势、区域分布合作、关键词共现等可视化分析,揭示该领...为解决消费者绿色服装购买积极性不高的问题,以Web of Science和中国知网数据库为来源,综合运用CiteSpace、bibliometrix和VOSviewer软件对绿色购买行为激励机制的相关文献作发文趋势、区域分布合作、关键词共现等可视化分析,揭示该领域的研究现状与发展趋势。结果发现,该领域的整体发文量有限,服装领域的研究明显不足,国际间合作缺乏,未来服装研究应拓宽学科领域,综合运用尖端科技促进绿色服装信息透明化,挖掘消费者内在心理机制,重视情感需求,实施经济激励和非经济激励组合模式,并结合人工智能技术来推进绿色服装购买行为的激励研究。研究结果为国内服装领域绿色购买行为激励深入研究及实践提供了理论依据和实践参考。展开更多
文摘In January and February of 2025,China's textile and clothing exports totaled 42.88 billion US dollars,marking a 4.5%decrease compared to the same period in the previous year.The primary factors contributing to this decline are as follows:First,China’s textile and clothing exports nearly reached USD 45 billion in January and February of 2024,setting a high base.Second,in order to avoid tariffs imposed by the United States,enterprises generally concentrated their exports at the end of last year and January this year.
基金Supported by the Natural Science Foundation of Zhejiang Province(No.LQ22F030015).
文摘This work addresses the cut order planning(COP)problem for multi-color garment production,which is the first step in the clothing industry.First,a multi-objective optimization model of multicolor COP(MCOP)is established with production error and production cost as optimization objectives,combined with constraints such as the number of equipment and the number of layers.Second,a decoupled multi-objective optimization algorithm(DMOA)is proposed based on the linear programming decoupling strategy and non-dominated sorting in genetic algorithmsⅡ(NSGAII).The size-combination matrix and the fabric-layer matrix are decoupled to improve the accuracy of the algorithm.Meanwhile,an improved NSGAII algorithm is designed to obtain the optimal Pareto solution to the MCOP problem,thereby constructing a practical intelligent production optimization algorithm.Finally,the effectiveness and superiority of the proposed DMOA are verified through practical cases and comparative experiments,which can effectively optimize the production process for garment enterprises.
文摘The Garment MTM enables to realize the individual and quick manufacture to meet the development of the per- fectly popular and various garment industry,whose core technology is to produce the individual and digital pattern,that is,get- ting the individual pattern-making according to the body information.It is relatively correct and wise to get the individual pattern by modifying the basic pattern and the experts in this field do their researches on this way.One vital and unsolved problem is that how to find the very pattern which is the closest to the customers in the pattern-database which determines the validity of the final pattern.We conclude a technology methods from body information to digital pattern,design the rule of seeking yards and pattern- modification,build the B-P system (the system of the quick manufacture technology of body information-digital pattern),set up the style database,yarn database,pattern database,the rule databases of seeking yards and pattern-modification.It is confirmed that the B-P system is available,the setting-up of all the databases in the system is reasonable and the final pattern is correct.
基金Supported by the National Natural Science Foundation of China (62202346)Hubei Key Research and Development Program (2021BAA042)+3 种基金Open project of Engineering Research Center of Hubei Province for Clothing Information (2022HBCI01)Wuhan Applied Basic Frontier Research Project (2022013988065212)MIIT′s AI Industry Innovation Task Unveils Flagship Projects (Key Technologies,Equipment,and Systems for Flexible Customized and Intelligent Manufacturing in the Clothing Industry)Hubei Science and Technology Project of Safe Production Special Fund (Scene Control Platform Based on Proprioception Information Computing of Artificial Intelligence)。
文摘Background Intelligent garments,a burgeoning class of wearable devices,have extensive applications in domains such as sports training and medical rehabilitation.Nonetheless,existing research in the smart wearables domain predominantly emphasizes sensor functionality and quantity,often skipping crucial aspects related to user experience and interaction.Methods To address this gap,this study introduces a novel real-time 3D interactive system based on intelligent garments.The system utilizes lightweight sensor modules to collect human motion data and introduces a dual-stream fusion network based on pulsed neural units to classify and recognize human movements,thereby achieving real-time interaction between users and sensors.Additionally,the system incorporates 3D human visualization functionality,which visualizes sensor data and recognizes human actions as 3D models in real time,providing accurate and comprehensive visual feedback to help users better understand and analyze the details and features of human motion.This system has significant potential for applications in motion detection,medical monitoring,virtual reality,and other fields.The accurate classification of human actions contributes to the development of personalized training plans and injury prevention strategies.Conclusions This study has substantial implications in the domains of intelligent garments,human motion monitoring,and digital twin visualization.The advancement of this system is expected to propel the progress of wearable technology and foster a deeper comprehension of human motion.
文摘Bangladeshi textile and garment sectors defied the global challenges over the last five years and continued to grow although the growth momentum was not so strong before the COVID-19 pandemic.Before the start of the pandemic,both the textile and garment sectors were growing at a higher rate because of rising demand from the international clothing retailers and brands because of two main reasons including the trade war between USA and China and competitive prices of locally made garment.
文摘Vietnam's textile and garment industry has fulfilled its 44-billion-USD export turnover target in 2024,an increase of over 11%compared to 2023,thanks to efforts in market diversification,technological innovation,and effectively capitalising on the shift in orders.
文摘The garment industry in Bangladesh is a pivotal sector that drives the country's economy,contributing significantly to its foreign exchange earnings.However,the path to sustaining and growing this industry is fraught with challenges,particularly in the context of order completion,financial management,and secto rwide suppo rt.With the strength of its three pillars,the industry is moving forwa rd with an ambitious vision of achieving a$100 billion export target by 2030.This goal,however,seems impossible without ro bust government support.
文摘目的针对服装工业传统服装人工分拣准确度差、效率低和自动化程度不足等问题对其进行智能化系统化的管理与设计,以提高分拣效率与生产能效。方法结合服装生产流水线,基于挂钩式分拣系统与无线射频识别技术(Radio Frequency Identification,RFID)分析设计服装生产-分拣-传输-包装的系统化流程。重点针对RFID在复杂工业环境中的多标签冲突、读取误差与路径追踪等问题,提出了包含动态帧调整、防碰撞优化、RSSI信号建模、轨迹识别与贝叶斯补偿等在内的算法优化策略,并构建与调度系统的协同控制机制。结果智能分拣传送系统解决了原本分拣包装周期长、效率低下、分拣混淆等问题,建立了完整的上架-入库-出库-包装智能分拣流程。结论本文对服装产业的智能系统分拣进行了研究分析,探究了智能分拣系统的关键技术和应用现状及发展趋势,并通过挂钩式分拣系统与RFID技术对生产效率的改善作用进行分析,为服装企业引入智能分拣系统提供理论分析和技术支持。
文摘为解决消费者绿色服装购买积极性不高的问题,以Web of Science和中国知网数据库为来源,综合运用CiteSpace、bibliometrix和VOSviewer软件对绿色购买行为激励机制的相关文献作发文趋势、区域分布合作、关键词共现等可视化分析,揭示该领域的研究现状与发展趋势。结果发现,该领域的整体发文量有限,服装领域的研究明显不足,国际间合作缺乏,未来服装研究应拓宽学科领域,综合运用尖端科技促进绿色服装信息透明化,挖掘消费者内在心理机制,重视情感需求,实施经济激励和非经济激励组合模式,并结合人工智能技术来推进绿色服装购买行为的激励研究。研究结果为国内服装领域绿色购买行为激励深入研究及实践提供了理论依据和实践参考。
