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Warehouse Pick Path Optimizer

Warehouse Pick Path Optimizer removes aisle revisits, which is where nearly all the wasted walking is. Runs entirely in your browser with no upload and no.

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Warehouse Pick Path Optimizer

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Using Warehouse Pick Path Optimizer to calculate and analyze your data.

How the Warehouse Pick Path Optimizer works

  1. Paste the pick list with a location code for each line.
  2. Choose the layout and routing strategy; serpentine is simple, predictable and close to optimal in parallel-aisle layouts.
  3. Give pickers the reordered list. Most of the saving comes from not revisiting an aisle, which no picker can plan while carrying a scanner.

The method

Travel is the largest component of picking time, and it is determined by aisle revisits rather than distance between adjacent picks.

serpentine routing traverses each aisle containing a pick exactly once

A list in entry order typically revisits aisles several times, which is where the extra distance comes from.

FAQ

What is serpentine routing?

Working up one aisle and down the next, visiting each aisle containing a pick exactly once. It is simple to follow and close to optimal in a standard parallel-aisle warehouse, which is why it is the common choice.

Why not always use the shortest route?

Because the mathematically shortest route is often awkward to follow and hard to remember. A slightly longer route pickers execute correctly beats an optimal one they get wrong.

Does slotting matter more than routing?

Usually yes. Placing fast-moving items near the dispatch end reduces travel more than any routing change, and the two compound. Routing is the cheaper of the two to implement.

How we compare

Feature Online Tool Store A notes app A project suite
Aisle revisit reduction Manual
Multiple layouts
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Warehouse Pick Path Optimizer removes aisle revisits, which is where nearly all the wasted walking is.

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