Machine learning and soft computing applications in textile and clothing supply chain: Bibliometric and network analyses to delineate future research agenda
作者：
Highlights：
• Systematic review of application of ML and SC in textile and clothing supply chain.
• Yarn and fabric manufacturing stages have most of the applications of ML and SC.
• ANN, genetic algorithm and fuzzy logic are the most explored ML and SC techniques.
• Lack of collaborative research on ML and SC applications in textile and clothing supply chain.
• ML aided fibre development, clothing engineering and fashion forecasting need attention.
摘要
•Systematic review of application of ML and SC in textile and clothing supply chain.•Yarn and fabric manufacturing stages have most of the applications of ML and SC.•ANN, genetic algorithm and fuzzy logic are the most explored ML and SC techniques.•Lack of collaborative research on ML and SC applications in textile and clothing supply chain.•ML aided fibre development, clothing engineering and fashion forecasting need attention.
论文关键词：Bibliometric analysis,Clothing,Machine learning,Network analysis,Soft computing,Supply chain,Textiles
论文评审过程：Received 30 June 2021, Revised 28 January 2022, Accepted 26 March 2022, Available online 31 March 2022, Version of Record 26 April 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117000
