Scholarlink

The present study analyses existing mathematical models for supply chainSupply chain planning (SCP). It emphasizes lean manufacturingLean manufacturing to consider flexibilityFlexibility, resilienceResilience, and sustainability aspects to manage demand in the changing and disruptive industrial environments of today. It also considers Industry 4.0Industry 4.0 technologies to obtain a supply chainSupply chain (SC) that is more autonomous. For this purpose, several reference models, which can be used as a basis for new mathematical developments to improve SCs’ performance, are analysed. Finally, it explains the addressed problem, and it identifies the possible objectives, inputs, outputs, constraints, and modelling and solution approaches.

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

Optimization Modelling for Lean, Resilient, Flexible, and Sustainable Supply Chain Planning

  • 章节

  • 发表日期：

    2026年

查看全文
  • John Reyes,
  • Josefa Mula,
  • Manuel Díaz-Madroñero

摘要

The present study analyses existing mathematical models for supply chainSupply chain planning (SCP). It emphasizes lean manufacturingLean manufacturing to consider flexibilityFlexibility, resilienceResilience, and sustainability aspects to manage demand in the changing and disruptive industrial environments of today. It also considers Industry 4.0Industry 4.0 technologies to obtain a supply chainSupply chain (SC) that is more autonomous. For this purpose, several reference models, which can be used as a basis for new mathematical developments to improve SCs’ performance, are analysed. Finally, it explains the addressed problem, and it identifies the possible objectives, inputs, outputs, constraints, and modelling and solution approaches.