About Warehouse Management Simulator

Simulate warehouse operations and optimize storage utilization. Part of the DevTools Surf developer suite. Browse more tools in the Business & Corporate collection.

Use Cases

• Simulate pick path optimization for a warehouse layout before physical rearrangement.
• Model storage slot assignment based on item velocity and physical dimensions.
• Test receiving workflow scenarios to identify bottlenecks in inbound processing.
• Evaluate the impact of zone picking vs. wave picking on order fulfillment throughput.

Tips

• Implement ABC analysis before designing storage layout: A items (fast-moving, 80% of volume) should be closest to packing stations, C items (slow-moving) in the deepest storage.
• Design pick paths to minimize travel distance — a U-shaped or serpentine path is typically more efficient than random picks from the shortest distance for each individual item.
• Track receiving accuracy separately from pick accuracy — receiving errors propagate through the entire fulfillment chain and are harder to detect late.

Fun Facts

• Amazon's fulfillment center in Etna, Ohio is one of the largest in the US at 3.8 million square feet — roughly 65 football fields. It uses over 3,000 robots (Amazon Robotics Kiva systems) alongside human workers.
• The Kiva Systems robotics company was acquired by Amazon in 2012 for $775 million and renamed Amazon Robotics — the acquisition gave Amazon a significant competitive advantage in warehouse automation.
• Warehouse Management Systems (WMS) as commercial software emerged in the early 1990s. The global WMS market was valued at $3.1 billion in 2022 and is projected to reach $6.2 billion by 2028.

FAQ

What is the difference between zone picking and wave picking?

Zone picking assigns pickers to a geographic zone — they only pick items in their zone, and orders are consolidated at a merge point. Wave picking releases groups of orders simultaneously to smooth workload and optimize travel.

What is the ABC analysis in warehouse management?

A items: fast-moving (top 20% of SKUs accounting for 80% of transactions) — store in prime locations near packing. B items: moderate velocity — mid-level storage. C items: slow-moving — deepest storage. Reduces average travel distance per pick significantly.