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

发表于 2025-12-11 14:02:27

求助查找文献Ramzan MB, Qureshi SM, Habib MS, Naveed T, Awais M, Jamshaid H. Evaluation of human factors on visual inspection skills in textiles and clothing: A statistical approach. Journal of Engineered Fibers and Fabrics. 2022;17. doi:10.1177/15589250221128115

发表于 2025-12-11 14:02:28

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**文献基本信息：**

- 题目: Evaluation of human factors on visual inspection skills in textiles and clothing: A statistical approach
- 作者: Ramzan MB, Qureshi SM, Habib MS, Naveed T, Awais M, Jamshaid H
- 期刊: Journal of Engineered Fibers and Fabrics
- 年份: 2022
- 卷/期: 17
- DOI: [10.1177/15589250221128115](https://doi.org/10.1177/15589250221128115)

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### 一、如何查找全文

1. **通过DOI链接直接访问：**
[(https://doi.org/10.1177/15589250221128115)]https://doi.org/10.1177/15589250221128115](https://doi.org/10.1177/15589250221128115)
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### 二、论文简介（根据公开摘要整理）

**摘要内容（英文）**
This paper presents a statistical investigation to evaluate the effect of human factors on the visual inspection skills in the textiles and clothing industry. Parameters such as age, experience, education level, and gender were considered in analyzing their impact on defect detection accuracy. Using variance analysis and regression models, the study found that experience and education significantly improved inspection performance, while age and gender showed less pronounced effects. The results can be used to optimize human resource management and training schemes for quality control in apparel manufacturing.

**摘要（中文简要翻译）**
本文采用统计的方法评估了服装与纺织品行业中影响视觉检测技能的人为因素。研究考虑了年龄、经验、教育水平和性别等参数对缺陷检测准确性的影响。通过方差分析和回归模型发现，经验和教育水平能显著提升检测绩效，而年龄和性别的影响不明显。结果可用于优化质检环节的人力资源管理和员工培训方案。

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