Pick Path Optimization Calculator

About the Pick Path Optimization Calculator

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 calculator 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.

Use the result to compare operating scenarios, pressure-test assumptions, and rerun the model when volumes, rates, or service targets change.

When This Page Helps

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.

How to Use the Inputs

1. Enter the total aisle length in your warehouse.
2. Enter the number of aisles in the pick zone.
3. Enter the average number of picks per trip.
4. Enter the average picker walking speed.
5. Review the estimated travel distance and time for each routing strategy.
6. Compare the savings percentage between strategies.
7. Select the best strategy for your operation.

Example Calculation

Tips & Best Practices

• S-shape routing is simplest to train and works best when most aisles have at least one pick per trip.
• Return routing works well when picks are concentrated near the front of aisles.
• Largest gap routing offers the best distance savings but requires WMS support for real-time path calculation.
• Combine routing optimization with better slotting to maximize travel reduction.
• Measure actual travel distances before and after implementing a new strategy to validate projected savings.
• Consider zone picking to reduce the total number of aisles each picker must traverse.

How Pick Path Routing Impacts Productivity

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.

Comparing Routing Strategies

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.

Implementation Considerations

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.

Frequently Asked Questions

• What is the S-shape routing strategy?

  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.

• What is the largest gap routing strategy?

  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.

• How much travel time can routing optimization save?

  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.

• Do I need a WMS for pick path optimization?

  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.

• What is a good walking speed for calculations?

  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.

• Can pick path optimization work with batch picking?

  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.

• How does zone picking affect routing strategy?

  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.

• What is return routing?

  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.