AI 中文总结
本研究针对能源转型等外部因素导致的供应链结构变化，提出混合整数规划公式，结合产品与空间邻域限制搜索空间，经农业废弃物案例验证可快速生成高质量重构方案。
AI 中文摘要
供应链是生产和交付高价值产品的流程与操作组成的互联网络，当前正日益受到能源转型及其他外部因素带来的结构变化影响。为解决该问题，本研究开发混合整数规划公式以识别最优重构方案，在保障工业运营与盈利能力的前提下实现调整。我们提出产品与空间邻域概念，用于限制可行搜索空间并实现快速启发式求解；该限制结合了结构与基于产品的信息，可探索并定义多种重构场景。我们通过农业废弃物案例研究验证该方法，结果显示其能快速生成高质量解决方案。
英文摘要
Supply chains are interconnected networks of processes and operations producing and delivering high-value products. These chains are increasingly subjected to structural changes from the energy transition and other external factors. To address this, this work develops mixed-integer programming formulations to identify optimal reconfigurations that preserve industrial operations and profitability. We propose products and spatial neighborhoods to restrict the feasible search space and enable fast heuristic solutions. Furthermore, this restriction combines structural and product-based information, thus allowing to explore and define multiple reconfiguration scenarios. We demonstrate the approach using an agricultural waste case study, showing its ability to quickly produce good quality solutions.
CommentsAccepted to IFAC World Congress 2026
