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Related Experiment Video

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Fabrication of Compressed Hosiery and Measurement of its Pressure Characteristic Exerted on the Lower Limbs

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Evaluating sewing operation complexity and its influence on sewing operation quality.

Huimin Li^1,2, Fansen Kong^1,2, Liang Kong³

¹School of Mechanical and Aerospace Engineering, Jilin University, Changchun, 130025, China.

|March 14, 2023

Summary

This summary is machine-generated.

A new method measures sewing operation complexity. Action and cognitive complexity impact sewing time and defects, guiding garment industry quality control.

Keywords:

Action complexity Cognitive complexity Fluctuation of sewing operation time Perceived complexity Posture keeping complexity Sewing defects Sewing operation

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Area of Science:

Industrial Engineering
Garment Manufacturing
Ergonomics

Background:

Increasing demand for individualized garments necessitates variety and small-batch production.
This shift complicates sewing tasks and increases workloads for garment workers.
Existing methods for assessing sewing complexity and its impact on quality are limited.

Purpose of the Study:

To propose a novel measurement method for sewing operation complexity.
To analyze the relationship between sewing operation complexity and sewing operation quality.
To provide theoretical guidance for quality control in the garment industry.

Main Methods:

Development of a new measurement approach for sewing operation complexity.
In-depth analysis of the correlation between different complexity aspects and sewing outcomes.
Statistical evaluation of the relationship between complexity metrics, sewing time, and defect rates.

Main Results:

Action complexity and cognitive complexity are significantly correlated with fluctuations in sewing operation time.
Action complexity and cognitive complexity are significantly correlated with the rate of sewing defects.
Posture keeping complexity showed no significant correlation with sewing operation time or defect rates.

Conclusions:

The proposed measurement method enhances understanding of sewing operation complexity.
Action and cognitive complexities are key factors influencing sewing efficiency and quality.
The findings offer practical insights for improving quality control in garment manufacturing.