NDLI: Evaluation of human factors on visual inspection skills in textiles and clothing: A statistical approach

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Evaluation of human factors on visual inspection skills in textiles and clothing: A statistical approach

Content Provider	SAGE Publishing
Author	Ramzan, Muhammad Babar Qureshi, Sheheryar Mohsin Habib, Muhammad Salman Naveed, Tayyab Awais, Muhammad Jamshaid, Hafsa
Copyright Year	2022
Abstract	In visual inspection, the impact of different human factors on inspection performance has been evaluated in past. However, there is a need to study the effect of relevant factors and their interrelation in a single framework to monitor and improve inspection performance. This study aims to identify and evaluate such human factors for proposing a framework that indicates their interrelationship. After reviewing the literature, five constructs with their respective observed variables are selected to propose the framework. The survey instrument is developed using the suggested framework to collect data from industry professionals where human labor perform the inspection for products such as textiles. Finally, data are collected through an online survey and analyzed using confirmatory factor analysis to test the hypotheses. The results verify that the selected constructs are good measures of inspection skill, however, some variables are excluded from the model for being insignificant. Results show that the factors related to the constructs – personal, physical/mental, and organizational – are found more influencing than system and inspection-task factors. This study identifies and models the inspection-related significant factors into a framework that will help monitor and improve the performance of an individual or whole inspection station.
Related Links	https://journals.sagepub.com/doi/pdf/10.1177/15589250221128115?download=true
ISSN	15589250
Volume Number	17
Journal	Journal of Engineered Fibers and Fabrics (JEF)
e-ISSN	15589250
DOI	10.1177/15589250221128115
Language	English
Publisher	Sage Publications UK
Publisher Date	2022-11-29
Publisher Place	London
Access Restriction	Open
Rights Holder	© The Author(s) 2022
Subject Keyword	quality control human-based offline inspection human inspection skill Textile and clothing confirmatory factor analysis
Content Type	Text
Resource Type	Article
Subject	Materials Science

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