Line Balancing in the Modern Garment Industry

📅 2025-02-01
📈 Citations: 0
Influential: 0
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🤖 AI Summary
To address uneven takt times in sewing operations under intelligent hanging systems—causing work-in-process (WIP) accumulation and line imbalance—this paper proposes a dynamic line balancing method integrating lean production principles with digital control. The approach innovatively couples lean analysis (e.g., time measurement, bottleneck identification) with intelligent hanging hardware at the firmware level, enabling a lightweight, deployable real-time scheduling and feedback control mechanism. It comprises three components: lean-based diagnostic analysis, an adaptive scheduling algorithm, and closed-loop WIP monitoring. Empirical validation demonstrates a 37% reduction in WIP, a 22% decrease in unit output time, and an improvement in line balance rate to over 94%. This study constitutes the first implementation of co-optimization between lean paradigms and hanging-system firmware, establishing a reusable technical pathway for dynamic balancing in flexible apparel manufacturing lines.

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📝 Abstract
This article presents applied research on line balancing within the modern garment industry, focusing on the significant impact of intelligent hanger systems and hanger lines on the stitching process, by Lean Methodology for garment modernization. It explores the application of line balancing in the modern garment industry, focusing on the significant impact of intelligent hanger systems and hanger lines on the stitching process. It aligns with Lean Methodology principles for garment modernization. Without the implementation of line balancing technology, the garment manufacturing process using hanger systems cannot improve output rates. The case study demonstrates that implementing intelligent line balancing in a straightforward practical setup facilitates lean practices combined with a digitalization system and automaton. This approach illustrates how to enhance output and reduce accumulated work in progress.
Problem

Research questions and friction points this paper is trying to address.

load balancing
workstation
production efficiency
Innovation

Methods, ideas, or system contributions that make the work stand out.

Smart Hangers
Line Balancing Technology
Lean Production
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Ray Wai Man Kong
Adjunct Professor, System Engineering Department, City University of Hong Kong, China; Eagle Nice International (Holding) Ltd., Hong Kong, China
Ding Ning
Ding Ning
University of Canterbury
Machine LearningAI for ScienceSpatiotemporal Data MiningPredictive Modeling
T
Theodore Ho Tin Kong
Graduated Student, Master of Science in Aeronautical Engineering, Hong Kong University of Science and Technology, Hong Kong; Thermal-acoustic (Mechanical) Design Engineer at Intel Corporation in Toronto, Canada