The volatility and complexity of the marketplace require planning approaches that balance efficiency and adaptability in engineer-to-order (ETO) manufacturing environments. This study brings together lean, agile (Leagile) principles and smart manufacturing planning to improve responsiveness without compromising operational performance. Using the Fuzzy Analytic Hierarchy Process (F-AHP) methodology, this study combines a comprehensive literature review with the evaluation of strategies and drivers in a manufacturing case study. The results highlight the importance of Digital Integration, Digital Value Stream, and Integrated Planning to achieve leagile and sustainable operations. Conclusively, this study offers practical suggestions for leveraging digital drivers to strengthen resilience and long-term sustainable smart manufacturing.

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

Beyond Engineering to Order: Embracing Leagile in Smart Manufacturing Planning for Boost Sustainability

  • Monica Pilco,
  • Lisset Ugaz,
  • Edgar Ramos,
  • Donovan Fuqua

摘要

The volatility and complexity of the marketplace require planning approaches that balance efficiency and adaptability in engineer-to-order (ETO) manufacturing environments. This study brings together lean, agile (Leagile) principles and smart manufacturing planning to improve responsiveness without compromising operational performance. Using the Fuzzy Analytic Hierarchy Process (F-AHP) methodology, this study combines a comprehensive literature review with the evaluation of strategies and drivers in a manufacturing case study. The results highlight the importance of Digital Integration, Digital Value Stream, and Integrated Planning to achieve leagile and sustainable operations. Conclusively, this study offers practical suggestions for leveraging digital drivers to strengthen resilience and long-term sustainable smart manufacturing.