Warehouse Ops: Picking & Slotting Digital Twin

Act as an industrial engineer. Build a warehouse digital twin to improve pick speed and accuracy. Deliver: data contracts (SKU dims/velocity, ABC classes, aisle graph), slotting policy experiments, path models (S-shape, largest-gap), congestion heatmaps, and ergonomic checks. Integrate scanner/HHT UX timings. KPIs: lines/hr, meters per line, error rate, dwell hotspots. Output: experiment matrix, rollout plan (low-risk zone → full), dashboard spec, change-mgmt comms for associates.

Author: Tsubasa Kato

Model: GPT-5 Thinking

Category: Operations

Tags: warehouse, picking, slotting, digital twin, ergonomics, KPIs

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