Designing High-Throughput Pick Faces With Bin Shelving

Bin Shelving Shelving configured with storage bins for small parts, pick faces, or component organization.

High‑throughput pick faces using bin shelving require a design that reduces picker travel and handling time while protecting accuracy. Design priorities are: place high‑velocity SKUs in the optimal ergonomic zone, standardize bin footprints, minimize hand movement during picks, and ensure fast, mistake‑proof validation. This article lays out practical layout and operational rules to convert bin shelving into a high‑performance picking system.

Slotting And Velocity-Based Layout

Start with ABC analyses and order line data. Put 'A' SKUs—typically the top 10–20% by pick volume—into the primary pick zone (waist to shoulder height) and on the most accessible aisles. 'B' SKUs go above and below that zone; 'C' SKUs can be in reserve shelving or higher/lower positions. Group commonly picked item combinations together to form effective zones for batch picks and to reduce travel between SKUs that appear together on orders.

Standardization And Bin Selection

• Bin Standardization: Limit the number of bin sizes to speed replenishment and reduce spare parts inventory for bins.
• Footprint Matching: Pick bins that closely match the average SKU footprint to avoid dead space and make counts predictable.
• Pick Windows: Use open front bins with clear pick windows for visibility; include front lips to prevent spills.

Ergonomics And Pick Path Design

Design aisles for single‑side or double‑side picking depending on throughput. Use ergonomic rules: keep most picks between knuckle and shoulder height; route heavy or bulky picks to lower shelves. Lay out pick paths to minimize turning and bending—strike a balance between narrow aisles for storage density and wider aisles for safe, two‑handed picks during peak operations.

Picking Methods And Technologies

• Zone Picking: Assign pickers to zones with clearly labeled bin faces to eliminate cross‑aisle travel during single batches.
• Batch Picking: Use batch algorithms to pull multiple orders that share SKUs from the same pick faces.
• Pick Validation: Enforce scans at bin level and consider pick‑to‑light or voice systems to reduce errors.

Replenishment And Buffering

Maintain a buffer quantity at pick faces to prevent stockouts during peak shifts. Replenishment should be a continuous background process with clear pull signals — reorder thresholds on bin labels, electronic alerts from WMS, or visual kanban cards. Place reserve bins close enough for quick restocking but not in the primary pick flow to avoid congestion.

Labeling And WMS Practices

Label every bin with a durable barcode and human‑readable text that includes location ID and maximum quantity. Configure WMS pick paths to honor physical zoning and to balance picker workload. Use directed putaway to keep SKUs in their designated bins; random putaway near pick faces erodes the system's predictability.

Performance Measurement

• Throughput Metrics: Track picks per hour and orders per hour by zone to find bottlenecks.
• Error Rates: Record mispicks by bin location to identify problematic slotting or labeling.
• Fill Rates: Monitor pick face stockouts and replenish lag times.

Practical Implementation Example

A 3PL serving medical devices redesigned its bin shelving pick faces by applying ABC slotting, standardizing on two bin sizes, and introducing pick‑to‑light for five high‑volume aisles. They moved the top 15% of SKUs into the primary ergonomic zone and created dedicated replenishment lanes behind pick aisles. After implementation, average picks per hour improved 22%, and first‑pass order accuracy exceeded 99.6%.

In short, the Bin Shelving model can support high‑throughput picking when slotting, bin standardization, ergonomic layout, and WMS‑driven operations are combined. Focus on reducing travel, enforcing putaway discipline, and validating picks at the bin level to sustain throughput and accuracy.