产品生命周期视域下人工智能技术在服装产业中的应用进展

Progress in the application of artificial intelligence technology in the garment industryfrom the perspective of product life cycle

传统服装产业面临诸多问题,如劳动力成本增加、设计创新不足和供应链管理不善。这些问题在很大程度上源于服装产业的劳动密集型特性,以及对人力资源的高度依赖。人工智能作为一种模拟人类智能行为的技术,能够在很大程度上替代人工操作,已在服装行业中得到广泛应用,特别是在提升服装设计、生产和销售环节的效率及控制制造成本方面。然而,目前关于人工智能在服装领域的应用现状尚未得到系统梳理。服装产品生命周期管理(PLM)是一种集成设计、制造和销售业务流程的管理方案,旨在帮助企业跟踪和管理其服装产品生命周期。因此,本文将深入探讨人工智能在服装产品生命周期各环节中的具体应用,从应用场景和算法两方面进行综述,分析现有研究的现状和不足,希望为相关领域的研究者提供启示和参考价值,以推动服装产业的转型升级,增强其竞争力。

The traditional garment industry is confronted with numerous challenges,including escalating labor costs,inadequate design innovation,and suboptimal supply chain management.These issues primarily arise from the labor-intensive characteristics of the garment sector and its significant reliance on human resources.As globalization continues to influence market dynamics,companies are increasingly pressured to maintain competitive pricing while ensuring high-quality products that meet consumer demands for sustainability and ethical production practices.Artificial intelligence(AI),a technology that emulates human cognitive functions and can substantially replace manual operations,has been extensively adopted in the apparel industry—particularly in enhancing efficiency across clothing design,production processes,sales strategies,and managing manufacturing costs.AI applications range from predictive analytics that forecast fashion trends based on consumer behavior data to automated cutting machines that optimize fabric usage during production.Furthermore,machine learning algorithms can analyze vast datasets to identify patterns in customer preferences or inventory levels,enabling businesses to make informed decisions regarding stock management.Nevertheless,a comprehensive examination of AI’s application within the clothing domain remains lacking.While some studies have explored specific use cases of AI technologies such as computer vision for quality control or chatbots for customer service enhancement,there is still a gap in understanding how these innovations interconnect throughout various stages of product development.Apparel product lifecycle management(PLM)serves as an integrated management solution that encompasses design,manufacturing processes,distribution channels,and sales strategies to assist companies in tracking and overseeing their apparel product lifecycle effectively.By integrating PLM systems with AI capabilities like real-time data analysis and automation tools,organizations can streamline workflows significantly—from initial concept development through final retail delivery.Consequently,this paper aims to thoroughly investigate the specific applications of artificial intelligence at each stage of apparel product lifecycles through two lenses:application scenarios and algorithms;it will analyze both the current state and limitations of existing research with the intention of providing insights for scholars in related fields while fostering transformation and advancement within the garment industry to enhance its competitiveness.This exploration will not only highlight successful case studies but also address potential barriers such as technological adoption rates among small enterprises or concerns regarding data privacy when utilizing consumer information for algorithm training purposes.