Semantic Signal-Assisted Inspection and Recovery Allocation in Reverse Logistics

Semantic Signal-Assisted Inspection and Recovery Allocation in Reverse Logistics proposes a decision-support framework that transforms return notes into a condition factor and a signal‑quality score. These metrics guide how deeply to inspect returned assets and how to allocate them for recovery, balancing labor constraints. In synthetic benchmarks across IT decommissioning, aircraft maintenance, and consumer‑electronics returns, the keyword‑based implementation outperforms a structured‑feature comparator by improving net recovery value and lowering inspection costs, with the greatest economic benefit observed in the aircraft scenario.

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• llms
• benchmarks