Scholarlink

<p>By employing Design for Six Sigma (DFSS) methodologies and incorporating fuzzy logic, we propose a novel order fulfillment processes (OFP) model that identifies and integrates critical performance metrics and key process variables essential for supply chain management (SCM). The proposed model effectively optimizes internal processes and synchronizes supply chain (SCs) partners, emphasizing mutual review, enhanced monitoring, and strategic parameter adjustments during forecast evaluations. This model significantly improves performance measurement systems by targeting customer demands, process surveillance, and regulation. Its flexibility and integration of fuzzy logic allow it to manage variability and adapt to unique scenarios, providing targeted analysis and valuable insights for practitioners seeking to enhance their supply chains incrementally. Our research advances the theoretical understanding of SCM while offering practical insights to improve OFP and overall SCM performance.</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 supply chain resilience in retail operations: a novel DFSS and fuzzy logic model for optimizing order fulfillment process

  • 期刊论文

  • 发表日期：

    2025年5月7日

查看全文
  • Huangen Chen,
  • Mohammad Heydari,
  • Kin Keung Lai,
  • Justin Zhang

摘要

By employing Design for Six Sigma (DFSS) methodologies and incorporating fuzzy logic, we propose a novel order fulfillment processes (OFP) model that identifies and integrates critical performance metrics and key process variables essential for supply chain management (SCM). The proposed model effectively optimizes internal processes and synchronizes supply chain (SCs) partners, emphasizing mutual review, enhanced monitoring, and strategic parameter adjustments during forecast evaluations. This model significantly improves performance measurement systems by targeting customer demands, process surveillance, and regulation. Its flexibility and integration of fuzzy logic allow it to manage variability and adapt to unique scenarios, providing targeted analysis and valuable insights for practitioners seeking to enhance their supply chains incrementally. Our research advances the theoretical understanding of SCM while offering practical insights to improve OFP and overall SCM performance.