How to optimize your warehouse for pick'n'pack speed.

Here is how to make your pick'n'pack up to 70% faster (according to science).

Do you run your own warehouse? Then you're going to love today's article. If you don't, forward this to your 3PL.

Because today I'm going to show you how to optimize your warehouse for maximum pick'n'pack speed.

Studies show that pick and pack is between 50-75% of your total warehousing costs. So it's a BIG cost driver.

I spent my weekend obsessing over optimizing our warehouse: reading scientific papers about layout, storage, picking routes, and batching orders.

Here is how to make your pick'n'pack up to 70% faster (according to science):

How to store

It's best to store your products by the "within-aisle" principle.

It means storing your products ranked by sales, with your best-selling products on the aisles closest to the area where you pack. It’s represented by the small D, for depot, in the bottom-left of the images. The result is the same if your packing area is in the middle of your warehouse.

Our warehouse is designed like the "diagonal", which I would have guessed to be best. But "within-aisle" is marginally better.

How to select what to pick

You should pick orders in batches, not one at a time.

But never batch your orders by when they were placed— first come, first served (FCFS). It's REALLY slow.

Instead, batch orders by location or something else that makes the orders in the batch closer to each other when picking.

(Google seed algorithms if you want to go technical)

(The y-axis is ft. walked to pick 1690 orders)

And the more orders you can pick in a batch, the better (obviously).

(The y-axis is ft. walked to pick 1690 orders)

How to walk when picking a batch

The within-aisle principle is only best if you also walk around your aisles in an "S". It's called the "traversal" pattern.

Technically, there's a much faster route. But it requires a lot of computational power, an IT system that supports it, and a GPS for each picker. So traversal pattern is best for most.

(Google the lkh heuristic if you want to go the optimal, but very techinical, route).

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