Application of Computational Techniques in the Textile and Clothing (T&C) Industry
A special issue of Stats (ISSN 2571-905X).
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2497
Special Issue Editors
Interests: deep learning; data mining; textile and clothing; supply chain management; modelling
Interests: artificial intelligence; fashion digitalization; modelling; optimization; decision support systems; wearable management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Today’s supply chain operations are experiencing a transition from an industrial age to an information age. The textile and clothing (T&C) sector is no exception to this. While the complexity of operations in the T&C sector has increased due to the increasing demand for faster lead times, reduced cycle times, customized products, tailored experiences, and an improvement in overall transparency and sustainability, following the technological advancements in collecting, storing, and transmitting data, the concerns associated with a lack of data have been replaced with the issue of too much data. As a result, the T&C sector has become a cornerstone for computational research, including artificial intelligence, machine learning, data mining, etc., that aims to harness the potential of data collection and large datasets in identifying the hidden patterns, trends, and correlations that are critical for market analysis, designing products, and tackling various manufacturing and supply chain challenges. In this context, the application of computational techniques is becoming prominent in a range of investigations, ranging from modelling, simulation and optimization in manufacturing and distributions to improving operating characteristics.
This Special Issue of Stats focuses on investigations regarding the applications of computational techniques that aim to leverage the power of (large) datasets to study or tackle various challenges in the T&C sector, ranging from design, manufacturing, and supply chain operations to market analysis, and beyond. We invite authors to contribute original research work to this peer-reviewed Special Issue of Stats.
Dr. Vijay Kumar
Prof. Dr. Xianyi Zeng
Guest Editors
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Keywords
- textile and clothing
- fashion
- computational analysis
- machine learning
- artificial intelligence
- deep learning
- data mining
- market analysis
- supply chain management
- manufacturing
- design
- modelling
- decision support systems
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