English(EN) Semantic Signal-Assisted Inspection and Recovery Allocation in Reverse Logistics

新框架通过人工智能驱动的检验优化反向物流

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-03 04:00

研究人员开发了一个名为语义信号辅助决策支持的框架，以优化反向物流中的检验和分配流程。该系统将退货单转换为状况和信号质量分数，指导检验深度和资源分配。在IT退役、飞机维护和消费电子产品的合成场景中进行的评估显示，与传统方法相比，净回收价值有所提高，检验成本有所降低，特别是在使用短语和大型语言模型提取器的飞机维护场景中取得了显著成效。 AI

影响这项研究可能导致在处理退回资产的行业中实现更有效的资源分配和更高的价值回收。

排序理由该集群包含一篇在arXiv上发表的研究论文，详细介绍了新框架及其评估。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Jiani He, Dingyan Shang, Yihua Xu, Shiqi Huang, Yan Lyu, Jize Li, Shangjing Tang · 2026-09-03 04:00

反向物流中的语义信号辅助检验与恢复分配

arXiv:2609.02116v1 Announce Type: new Abstract: Reverse-logistics operators often decide how to inspect and route returned assets before their condition is fully observed, while full inspection consumes scarce labor. Semantic Signal-Assisted Decision Support converts return notes…

本文如何被排名

报道来源 [1]

反向物流中的语义信号辅助检验与恢复分配

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