Augmented and virtual reality in apparel industry: a bibliometric review and future research agenda

P Goel, K Mahadevan, KK Punjani - foresight, 2023 - emerald.com
Purpose The purpose of the present study is to synthesize the extant literature on
augmented reality and virtual reality in the apparel industry using bibliometric and network …

An integrated fuzzy MCDM approach for manufacturing process improvement in MSMEs

S Xu, R Nupur, D Kannan, R Sharma, P Sharma… - Annals of Operations …, 2023 - Springer
To deal with dynamic customer preferences and global competition, Medium, Small and
Micro Enterprises (MSMEs) are striving to improve customer satisfaction by enhancing their …

[HTML][HTML] A digital twin framework development for apparel manufacturing industry

MD Alam, G Kabir, S Mirmohammadsadeghi - Decision Analytics Journal, 2023 - Elsevier
The apparel manufacturing industry faces challenges due to fast-changing fashion trends,
increased product variety, and personalized demands. Quick and optimized decision …

[HTML][HTML] Artificial-Neural-Network-Based Predicted Model for Seam Strength of Five-Pocket Denim Jeans: A Review

A Zulfiqar, T Manzoor, MB Ijaz, HH Nawaz, F Ahmed… - Textiles, 2024 - mdpi.com
This study explores previous research efforts concerning prediction models related to the
textile and polymer industry, especially garment seam strength, emphasizing critical …

[HTML][HTML] How multisensory perception promotes purchase intent in the context of clothing e-customisation

P Li, X Guo, C Wu, C Spence - Frontiers in Psychology, 2022 - frontiersin.org
With the continuing development of internet technologies, an increasing number of
consumers want to customise the products they buy online. In order to explore the …

[HTML][HTML] A new kinect V2-based method for visual recognition and grasping of a yarn-bobbin-handling robot

J Han, B Liu, Y Jia, S Jin, M Sulowicz, A Glowacz… - Micromachines, 2022 - mdpi.com
This work proposes a Kinect V2-based visual method to solve the human dependence on
the yarn bobbin robot in the grabbing operation. In this new method, a Kinect V2 camera is …

Interplay of emerging industrial technologies, ambidexterity, and sustainability: The case of the textile sector

B Aslam, S Abbas, Y Ahmad, STH Shah… - Sustainable Production …, 2024 - Elsevier
The global consumer market demands personalized products and it is quite challenging for
the manufacturing industry to address the consumer requirements along with optimal …

[HTML][HTML] Prediction of shrinkage behavior of stretch fabrics using machine-learning based artificial neural network

M Ahirwar, BK Behera - Textiles, 2023 - mdpi.com
Stretch fabric provides good formability and does not restrict the movement of the body for
increased tension levels. The major expectations of a wearer in an apparel fabric are a high …

Objective hand evaluation of stretch fabrics using artificial neural network and computational model

M Ahirwar, BK Behera - Journal of Natural Fibers, 2022 - Taylor & Francis
Stretch woven textiles are widely employed because of their excellent elongation and
recovery properties. The stretch fabrics studied in this research can be used as power …

[HTML][HTML] Neural inverse procedural modeling of knitting yarns from images

E Trunz, J Klein, J Müller, L Bode, R Sarlette… - Computers & …, 2024 - Elsevier
We investigate the capabilities of neural inverse procedural modeling to infer high-quality
procedural yarn models with fiber-level details from single images of depicted yarn samples …