Estimate travel time savings from different warehouse pick path routing strategies. Compare S-shape, return, midpoint, and largest gap methods.
The Pick Path Optimization Calculator estimates travel time and distance savings when switching between different warehouse routing strategies. In most warehouses, picker travel accounts for 50% or more of total picking time, making route optimization one of the fastest ways to improve throughput without adding labor or technology.
This calculator compares four common routing methods—S-shape (serpentine), return, midpoint, and largest gap—by modeling travel distance based on your aisle configuration and average picks per trip. Each strategy offers different tradeoffs between simplicity and efficiency, and the best choice depends on your warehouse layout, pick density, and order profiles.
Use this tool to quantify the potential savings before committing to a new routing strategy, and make data-driven decisions about warehouse management system configuration or pick path training programs.
Supply-chain managers, warehouse operators, and shipping coordinators rely on precise pick path optimization data to maintain efficiency and control costs across complex distribution networks. Revisit this calculator whenever conditions change to keep your logistics plans aligned with real-world performance.
Travel time is the largest non-value-added component of order picking, often consuming more than half of a picker's shift. By comparing routing strategies mathematically, you can identify the method that minimizes travel for your specific layout and order profile. Even a 10-15% reduction in travel distance can translate to significant labor savings and faster order cycle times across thousands of picks per day.
S-Shape Distance = Number of Aisles × Aisle Length Return Distance = 2 × Picks × (Aisle Length / 2) Midpoint Distance ≈ Aisles × (Aisle Length / 2) + cross-aisle travel Largest Gap Distance ≈ S-Shape × 0.7 (estimated 30% savings) Travel Time = Distance / Walking Speed
Result: S-Shape: 1,000 ft, ~5.6 min | Largest Gap: ~700 ft, ~3.9 min
With 10 aisles of 100 ft each, the S-shape strategy covers 1,000 ft total (all aisles end to end). At 3 ft/s walking speed, that takes about 5.6 minutes. The largest gap method reduces this by roughly 30% to 700 ft and 3.9 minutes, saving nearly 2 minutes per trip.
In a typical warehouse, pickers spend 50-60% of their time traveling between locations. The routing strategy determines the sequence and path taken to each pick location, directly affecting total distance walked per trip. Even small improvements per trip multiply into hours saved per day across all pickers.
The S-shape strategy is the simplest but often the least efficient for low pick density trips. Return routing shines when picks cluster near aisle entrances. Midpoint routing splits each aisle at the halfway point, reducing traversal of empty aisle halves. Largest gap routing is the most analytically advanced, skipping the biggest empty sections of each aisle to minimize wasted travel.
Switching routing strategies requires updated training, WMS configuration, and potentially new pick list sequencing logic. Start with a pilot zone to measure real-world savings before rolling out facility-wide. Track both distance and pick rate metrics to confirm the projected benefits translate to actual productivity gains.
S-shape (or serpentine) routing sends the picker through each aisle that contains a pick, entering from one end and exiting the other. It is the simplest strategy to implement and train, making it the most common approach in manual warehouses.
Largest gap routing identifies the biggest empty section of each aisle (no picks) and avoids traversing it. The picker enters and returns from the same end when the gap is large enough to save distance. It typically saves 20-30% over S-shape routing.
Typically 10-30% reduction in travel distance compared to unoptimized or purely S-shape routing. The exact savings depend on pick density per aisle and warehouse layout. High-pick-density aisles see less benefit than sparse ones.
Simple strategies like S-shape and return can be executed with paper lists. Advanced strategies like largest gap and optimal routing require a WMS that can sequence pick locations dynamically for each trip.
Average picker walking speed is about 2.5-3.5 feet per second (roughly 2-2.5 mph). Adjust lower for congested aisles or heavy items and higher for wide, unobstructed paths. Use time studies to calibrate for your specific facility.
Yes. Batch picking groups multiple orders into a single trip, and routing optimization then finds the most efficient path through the combined pick locations. The combination of batching and routing can yield 40-60% travel reduction.
Zone picking limits each picker to a specific area, reducing the number of aisles traversed. Within each zone, routing optimization still applies. The smaller zone means simpler paths and even higher pick rates.
Return routing has the picker enter and exit each aisle from the same end (the front). This works well when picks are concentrated near the aisle entrance, avoiding unnecessary travel to the back of the aisle.