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Calcimator

Pick Path Calculator

Estimate travel distance, pick time, and efficiency for warehouse order picking routes.

About this calculator

This calculator estimates how long a warehouse picker's trip through the building takes by splitting travel into three parts: inter-zone travel (walking between the different zones an order touches), intra-zone travel (moving between pick locations within the same zone, assumed to be closer together than inter-zone hops), and a return trip back to the staging area. Total pick time then adds that travel time -- at an assumed walking speed of 4 feet per second, about 2.7 mph -- to the pure pick-and-scan time per item. Pick efficiency is simply the share of total time spent actually picking rather than walking, so it rises whenever travel time shrinks relative to picking time and falls whenever a picker spends more of the trip walking between locations.

This is why increasing the number of zones an order touches, without also increasing items per order, tends to lower efficiency -- more inter-zone hops add travel time without adding any picking work to offset it. The model uses a single average distance between picks and a fixed walking speed rather than modeling actual warehouse geometry, congestion, or equipment (like pallet jacks or order-picker lifts) that could change real travel speed, so treat the output as a planning estimate rather than a precise time-and-motion study.

Inputs

ft
sec

Results

Total Pick Time

285 sec

Picks per Hour

152

Total Travel Distance420 ft
Pick Efficiency63.2%
How to Use This Calculator
  1. Enter Items per Order — the average number of line items picked in one trip through the warehouse.
  2. Set Warehouse Zones to how many distinct picking zones or aisles are visited per order.
  3. Input Avg Distance Between Picks (ft) — estimate the average footsteps between consecutive pick locations.
  4. Set Pick Time per Item (seconds) to include locating, picking, and scanning time for each unit.
  5. Review Total Pick Time and Picks per Hour to benchmark your current productivity against industry targets.
  6. Use Pick Efficiency to see what fraction of picker time is productive picking versus travel — higher is better.

How the result changes with Items per Order

Items per OrderTotal Pick TimePicks per Hour
6173 sec125
9229 sec141
18398 sec163
30623 sec173

What each input means

Items per Order
Number of line items to pick in one trip.
Warehouse Zones
Number of distinct picking zones or aisles visited.
Avg Distance Between Picks
Average distance between pick locations in feet.
Pick Time per Item
Time to locate, pick, and scan each item.

How this is calculated

Worked example, using the default values

  1. Identify Input Parameters
    4 parameters
    Items per Order = 12, Warehouse Zones = 4, Avg Distance Between Picks = 30, Pick Time per Item = 15 = 4 input(s) provided
  2. Calculate Total Pick Time
    Total Pick Time
    285 = 285
  3. Calculate Picks per Hour
    Picks per Hour
    152 = 152
  4. Calculate Total Travel Distance
    Total Travel Distance
    420 = 420

Engine last updated . Checked against 3 independently-derived tests — how we verify calculators. Built by Paul Gunder, a software engineer, not a licensed financial, medical, or legal professional.

Frequently Asked Questions

Why does adding more warehouse zones to a pick reduce efficiency?

Each additional zone an order touches adds an inter-zone travel leg -- walking between distinct areas of the warehouse -- without adding any picking work to offset that extra time. Since pick efficiency is the share of total trip time spent actually picking rather than walking, more zones for the same number of items per order stretches out travel time relative to pick time and lowers the efficiency figure.

Why does items per order not proportionally increase total pick time?

Adding items increases the pure picking time roughly proportionally, but it also increases the average items picked per zone, which this model treats as shortening the average distance between consecutive picks within that zone. That partially offsets the added picking time with a smaller per-item travel penalty, which is why total pick time does not scale in exact lockstep with the number of items.

What does the fixed 4 feet per second walking speed represent?

It approximates a typical warehouse walking pace of about 2.7 mph while carrying a picking device or tote, which is the standard assumption used to convert estimated travel distance into travel time. Actual picker speed varies by individual, aisle congestion, and whether the picker uses equipment like a pallet jack, so this is a planning average rather than a measured speed for any specific facility.

How can I use pick efficiency to benchmark my warehouse?

Pick efficiency shows what fraction of a trip is spent on productive picking versus travel, so a higher percentage generally means less wasted motion for the same order profile. Comparing efficiency before and after changes like slotting fast- moving items closer together or reducing the number of zones an average order touches can show whether a layout change actually reduced non-productive travel time.

Does this calculator model real warehouse aisle layouts and congestion?

No -- it uses a single average distance between picks and a fixed walking speed rather than modeling your actual aisle geometry, travel paths, or congestion from other workers and equipment. Real warehouse management systems that generate pick paths account for the physical layout directly; this calculator is meant for quick order-profile planning, not precise route optimization.

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