Scholarlink

<p>In the highly competitive Electronics Manufacturing Services (EMS) sector, optimizing production efficiency and product quality is paramount to organizational sustainability. This study proposes a comprehensive framework integrating Lean Six Sigma (DMAIC methodology), Value Stream Mapping (VSM), and Failure Mode and Effects Analysis (FMEA) to transform manual inspection processes into automated systems. By analyzing the current state of a case study assembly line, significant waste and high-risk manual operations were identified at the PT, FT, and RC test stations. Through the implementation of automated inspection technology and standardized operating procedures, the research achieved a remarkable reduction in the manufacturing lead time from 2.92 to 1.79&#xa0;h per day. Process Cycle Efficiency (PCE) increased from 14.03% to 21.46%, while the defect rate was significantly curtailed from 3.95% to 1.65%. Furthermore, the transition reduced the workforce from 8 to 3 operators per shift, resulting in annual labor cost savings of $92,160 and a total annual improvement value of approximately $2.67&#xa0;million. These results demonstrate that the proposed integrated framework not only eliminates operational bottlenecks but also provides a highly robust, scalable model for automating and enhancing quality in high-tech manufacturing environments.</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

Performance improvement for inspection processes in electronics manufacturing services via an integrated DMAIC-VSM-FMEA approach

  • 期刊论文

  • 发表日期：

    2026年5月30日

查看全文
  • Chia-Nan Wang,
  • Thanh-Tam Truong,
  • Duc-Chinh Truong

摘要

In the highly competitive Electronics Manufacturing Services (EMS) sector, optimizing production efficiency and product quality is paramount to organizational sustainability. This study proposes a comprehensive framework integrating Lean Six Sigma (DMAIC methodology), Value Stream Mapping (VSM), and Failure Mode and Effects Analysis (FMEA) to transform manual inspection processes into automated systems. By analyzing the current state of a case study assembly line, significant waste and high-risk manual operations were identified at the PT, FT, and RC test stations. Through the implementation of automated inspection technology and standardized operating procedures, the research achieved a remarkable reduction in the manufacturing lead time from 2.92 to 1.79 h per day. Process Cycle Efficiency (PCE) increased from 14.03% to 21.46%, while the defect rate was significantly curtailed from 3.95% to 1.65%. Furthermore, the transition reduced the workforce from 8 to 3 operators per shift, resulting in annual labor cost savings of $92,160 and a total annual improvement value of approximately $2.67 million. These results demonstrate that the proposed integrated framework not only eliminates operational bottlenecks but also provides a highly robust, scalable model for automating and enhancing quality in high-tech manufacturing environments.