Slotting optimization is the spatial arrangement of inventory to minimize travel time and maximize picking ergonomics. In high-density environments, slotting must be dynamically recalculated based on SKU velocity shifts and affinity patterns.
The Golden Zone is the vertical area between a picker's shoulders and mid-thigh (approximately 0.8m to 1.5m from the floor). Items placed here require the least amount of reaching or bending, resulting in the highest pick rates.
To minimize the total travel distance (D_{total}), the most active SKUs must be located at the Center of Gravity relative to the shipping/receiving docks.
The ideal location(X, Y)for a high-velocity cluster is calculated by weighting the coordinates of pick locations by their demand volume:
Where:*x_i, y_i: Coordinates of potential sloti. *v_i: Velocity (picks per period) of the SKU intended for that slot.
By centering high-velocity SKUs around the average exit point of the pick path, the "deadhead" travel time is minimized.
The Cube-per-Order Index (COI) is the primary technical metric used to rank SKUs for slotting. It balances the storage space required with the frequency of retrieval.
| Phase | Check (Input) | Act (Operation) | Verify (Output) |
|---|---|---|---|
| Data Analysis | Extract SKU velocity and COI from WMS. | Identify "Out-of-Slot" SKUs (A-items in C-slots). | Generate a "Slotting Heatmap." |
| Execution | Check for empty target slots in the Golden Zone. | Issue "Slotting Replenishment" tasks to move SKUs. | Confirm scan-to-scan completion of moves. |
| Validation | Monitor average pick path distance post-move. | CompareD_{total} before and after the slotting change. | Verify a > 5% reduction in total travel time. |
Beyond individual velocity, Affinity (Market Basket Analysis) identifies items frequently ordered together (e.g., SKU-A and SKU-B).