Warehouse operations optimization / Field guide
Warehouse pick-path routing methods: S-shape, return, midpoint, and largest gap
Routing rules should shorten repeatable travel without becoming so complex that pickers cannot execute them or congestion erases the modeled distance.
Quick answer
What you need to know
S-shape routing traverses an entered aisle, return routing exits from the same end, midpoint routing divides access between aisle ends, and largest-gap routing avoids traveling through the longest unpicked aisle segment. Compare them with actual pick lists, aisle access, one-way rules, cart behavior and congestion, then use a stable rule the operation and system can execute.
Define the common routing rules
S-shape enters aisles containing picks and normally traverses them. Return routing enters only as far as needed and exits the same end. Midpoint routing assigns portions of an aisle to opposite access ends. Largest-gap routing avoids crossing the biggest pick-free segment.
This article owns route-construction choices. The picking guide still owns slotting, method, work release, ergonomics, accuracy and total process improvement.
Use real layout and pick-list evidence
Map depot or start points, aisle ends, cross aisles, one-way restrictions, prohibited turns, congestion zones, equipment paths and actual slot coordinates. Straight-line distance between locations is not a valid substitute for traversable route distance.
Sample pick lists by order family, shift and season. Route performance changes with pick density, clustering, list size and the location of popular items. Preserve exceptional oversize, controlled and multi-zone orders separately.
Balance distance with execution reliability
A mathematically shorter route can fail if it requires frequent reversals, ambiguous choices, unsafe turns or system instructions workers cannot follow. Include cart maneuvering, scanning, searching and cross-traffic effects in the pilot.
Where congestion is material, test time-dependent routing or simple direction rules rather than optimizing every picker independently into the same short aisle. Protect pedestrian and equipment controls.
Combine routing with slotting and batching
Routing decides how work moves through the current locations; slotting changes where demand is stored; batching changes which picks share a trip. Measure them separately before claiming a combined benefit so the team knows which control must be maintained.
Document the selected rule, override conditions and performance baseline. Re-test after material layout, slotting, order-profile or equipment changes.
Warehouse Upgrade modeled insight
Modeled route distance avoided per wave
Twenty-five sampled lists average 1,260 feet with the current rule and 1,186 feet with a tested routing rule.
Assumptions
- 25 comparable pick lists
- 1,260-foot current average
- 1,186-foot scenario average
- Same start and end boundaries
Calculation
Distance avoided = (1,260 − 1,186) × 25 = 1,850 feet; report approximately 1,840 only if source measurements are rounded consistently.
How to use it: Translate distance to time with an observed loaded travel rate and subtract instruction, turn, congestion or exception effects before estimating labor value.
Disclosure: This is an original planning model built from the stated assumptions. It is not an observed industry benchmark, safety finding, or guaranteed result. Replace the assumptions with verified facility data before making a decision.
Use your own inputs
Put the guidance to work
Frequently asked questions
warehouse pick path routing methods FAQ
What is S-shape warehouse routing?
The picker generally traverses every aisle containing picks, alternating direction as the route progresses. It is simple but may add travel when picks are sparse.
Which pick-routing method is shortest?
It depends on aisle geometry, access points and the pick locations in each list. Test several rules on representative lists and compare observed total execution, not distance alone.
Can pick routing reduce labor without changing slotting?
It can reduce travel within the existing layout. Keep routing and slotting effects separate so each improvement and its maintenance requirement remain visible.
Sources and further reading
Primary references used
- Academic research — Reoptimization in warehouse picking operations
- Georgia Tech — Forward pick area sizing
Source links support the general guidance. The modeled insight above is Warehouse Upgrade analysis based on its stated assumptions.
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