Scholarlink

<p>In response to the competitive pressures faced by the garment manufacturing industry, including low production efficiency and poor resource utilization, this research proposes an innovative optimization framework for Garment Flexible Manufacturing Systems (GFMS). The study introduces a novel three-phase scheduling approach that integrates order prioritization, job selection, and workstation matching. This method uniquely combines advanced optimization techniques with human-centric considerations, addressing both production efficiency and worker well-being. The framework employs a priority-based scheduling scheme that dynamically adapts to production demands, while also considering worker skills, historical performance, and ergonomic factors. By incorporating these human elements, the study aligns with Industry 5.0 principles, emphasizing the synergy between technological advancement and human expertise in manufacturing processes. Simulation results demonstrate significant improvements in production efficiency, with a 28% increase in average daily capacity compared to traditional scheduling methods. This research not only enhances production scheduling in the garment industry but also provides a model for integrating human-centric approaches in flexible manufacturing systems, contributing to both operational excellence and sustainable workforce management.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Enhancing garment manufacturing efficiency through human-centered scheduling

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年5月14日

查看全文
  • Nengsheng Bao,
  • Xiaoxun Zheng,
  • Yuchen Fan,
  • Alessandro Simeone,
  • Runxuan Bao

摘要

In response to the competitive pressures faced by the garment manufacturing industry, including low production efficiency and poor resource utilization, this research proposes an innovative optimization framework for Garment Flexible Manufacturing Systems (GFMS). The study introduces a novel three-phase scheduling approach that integrates order prioritization, job selection, and workstation matching. This method uniquely combines advanced optimization techniques with human-centric considerations, addressing both production efficiency and worker well-being. The framework employs a priority-based scheduling scheme that dynamically adapts to production demands, while also considering worker skills, historical performance, and ergonomic factors. By incorporating these human elements, the study aligns with Industry 5.0 principles, emphasizing the synergy between technological advancement and human expertise in manufacturing processes. Simulation results demonstrate significant improvements in production efficiency, with a 28% increase in average daily capacity compared to traditional scheduling methods. This research not only enhances production scheduling in the garment industry but also provides a model for integrating human-centric approaches in flexible manufacturing systems, contributing to both operational excellence and sustainable workforce management.