Forecasting Model of  Shrinkage in Circular Knitted Fabric Using Decision Tree Analysis

Song Thanh Quynh Le; Thi Kim Hue Trinh; Thanh Nhan Phan

doi:10.56741/esl.v4i01.656

Authors

Song Thanh Quynh Le Ho Chi Minh City University of Technology
Thi Kim Hue Trinh Ho Chi Minh City University of Technology
Thanh Nhan Phan
phannhan@hcmut.edu.vn
Ho Chi Minh City University of Technology

Keywords:

data mining, knitted production, quality assurance, textile industries

Abstract

Controlling and ensuring product quality are significant in any production department, especially in the textile and clothing industry. Ensuring fabric shrinkage meets customer requirements constitutes a critical factor in evaluating product quality in the knitted fabric production process. However, fabric shrinkage depends on the order‘s specifications, such as loop length, fabric weight, material composition, longitudinal density, and transverse density. This complexity makes it challenging to control and ensure the fabric quality according to customer requirements. This study will describe the characteristics of each specification factor and explore its influence on fabric shrinkage. Finally, data mining techniques develop a forecasting model based on input parameters. The prediction model results will support production managers in estimating and promptly adjusting process parameters to achieve the expected quality levels.

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Author Biographies

Song Thanh Quynh Le, Ho Chi Minh City University of Technology

is an academic in the Department of Textile and Garment Engineering at Ho Chi Minh City University of Technology (HCMUT), part of the Vietnam National University, Ho Chi Minh City (VNU-HCM). With a focus on textile and garment engineering, he is involved in both teaching and research, contributing to the advancement of textile technology and sustainable practices within the field. (email: lstquynh@hcmut.edu.vn).

Thi Kim Hue Trinh, Ho Chi Minh City University of Technology

is a lecturer in the Department of Textile and Garment Engineering at Ho Chi Minh City University of Technology (HCMUT), part of the Vietnam National University, Ho Chi Minh City (VNU-HCM). Born in 1987 in Son Tinh district, Quang Ngai province, Vietnam, she earned both her Bachelor's and Master's degrees in organic chemistry from the University of Technology, Ho Chi Minh City, in 2012. With a strong foundation in organic chemistry, Thi Kim Hue Trinh applies her expertise to the textile and garment field, focusing on innovation in materials and textile processes. (email: ttkimhue@hcmut.edu.vn).

Thanh Nhan Phan, Ho Chi Minh City University of Technology

is a lecturer in the Department of Mechanical Engineering at Ho Chi Minh City University of Technology (HCMUT), part of Vietnam National University, Ho Chi Minh City (VNU-HCM). He earned his master's degree in Thermal Engineering from HCMUT in 2007 and later obtained a PhD in Energy and Nuclear Science and Technology from Politecnico Di Milano, Italy, in 2019. his research focuses on sustainable energy solutions, heat transfer, and two-phase flow dynamics, as well as advanced drying techniques. His work contributes to the development of energy-efficient technologies in the engineering field. (email: phannhan@hcmut.edu.vn).

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