竞争对手分析
敏捷软件开发
大数据
供应链
群众
快时尚
分析
工业4.0
质量(理念)
工程类
业务
产品(数学)
计算机科学
数据科学
过程管理
知识管理
服装
营销
软件工程
哲学
几何学
考古
认识论
数学
历史
嵌入式系统
操作系统
作者
Mujahid Mohiuddin Babu,Shahriar Akter,Mahfuzur Rahman,Md Morsaline Billah,Dieu Hack‐Polay
标识
DOI:10.1080/09537287.2022.2060858
摘要
Artificial intelligence (AI) has become an integral part of every industry. With the emergence of big data, the industries, and more especially textile and apparel (T&A) industry, are on the brink of relationships with consumers, suppliers, and competitors. They need to handle different scenarios with a multitude of complex correlations and dependencies between them and uncertainties arising from human interaction. It has become imperative for them to manage huge amounts of data for the optimization of decision-making processes. In such circumstances, AI techniques have shown promise in every segment of the T&A value chain, from product discovery to robotic manufacturing. The potential wide-ranging applications of AI in T&A industry have found their ways into design support systems to T&A recommendation systems, intelligent tracking systems, quality control, T&A forecasting, predictive analytics in supply chain management or social networks and T&A e-commerce. The research recourses to the qualitative method in the form of systematic literature review and in-depth interviews from senior management people and industry experts. Findings identify the dimensions of AI to develop dynamic capability along with its potential impact and probable challenges. As such, the findings contribute to relevant literature and offer useful insights for academia and practitioners.
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