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Feature Article from Our Distribution and Materials Handling Subject Area - See All

From SCDigest's On-Target E-Magazine

- Dec. 12, 2012 -

 
Logistics News: Batch Picking and Sortation Systems in Distribution


Understanding How Batch Picking Delivers ROI from Sortation System Investment; Throughput Increases Can be Just as Important as Operational Savings

 

SCDigest Editorial Staff


Automated sortation systems have provided significant productivity and/or throughput gains for hundreds of distribution centers since the late 1970s.

That distinction (productivity versus throughput) is important because while investment in sortation often provides a solid enough payback based on improved labor efficiencies, even when the core operational ROI is dicey, in many cases the system can still be justified by improved throughput at an existing distribution center that can avoid or defer investment in a new or larger DC. Since that facility expansion or build would involve many millions of dollars in capital, a few million for a sortation system may seem cheap by comparison.

SCDigest Says:

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Are the labor savings from batch picking significant enough to justify the investments in the sortation system? That of course is the multi-million dollar question.
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In most scenarios, the fundamental concept is to improve the "case picking" process by adopting some form of "batch order picking." As described and illustrated in the below, in traditional "discrete" order picking systems, associates pick at an individual order level, with each picker visiting a picking location separately for each order line.

In other words, the driver of picking activity in discrete picking is the individual order. A pick face is visited each time for each order that contains that SKU. With batch picking, however, the driver of picker activity is instead the SKU/Location.

With batch picking, order lines are instead combined (usually by a Warehouse Management System), generally in a "wave," so that an order picker visits a location just one time across orders, using the sortation system to break down the cartons into discrete customer orders after the picks. This can substantially reduce picking labor costs through a reduction in travel time.

This mostly is executed in a "pick to belt" scenario, in which the picker puts the picked cases on a conveyor, which transports them out of the pick area for eventual merge onto the sortation conveyor itself. There, these picks will be combined with cartons coming from other areas, such as "split case" picking, and then diverted off the sorter for specific customer orders. In other words, cases are aggregated for picking, and then dis-aggregated for specific orders.

In recent years some experts and vendors have been arguing for a "waveless," more continuous form of order release that they believe can offer improved sorter utilization while keeping most of the labor efficiencies of traditional wave-based order release. More on that debate soon.

Note that while the downstream sortation is truly automated, the picking process is what might be termed "mechanized," with the belt conveyor takeaway assisting what is in effect manual case picking, albeit consolidated across orders in the wave.

 

 

Order picking activity frequently represents as much as 50% of total DC labor costs. By enabling pickers to visit a location just one time per wave or other picking period, those labor costs can be significantly reduced. The sortation system does the work of separating the product back into discrete orders.

(Distribution/Materials Handling Story Continues Below )

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Sometimes, the cases flow from the sorter divert lanes directly into a truck (such as for parcel shipments or dedicated dock doors, as is often used in retail distribution); more often, the product is palletized for shipment at the end of the divert lane.

There are many variations of this basic theme. In retail, and increasingly other industries, cross dock processes are often used, in which the primary sortation is not from order picking but rather from inbound receipts that can be transferred directly to outbound shipping. That is the foundation, for example, of the automated regional distribution centers that retail giant Home Depot has been deploying in the past few years.

Sortation for e-fulfillment is obviously very hot at the moment, often using "tilt-tray" type sorters that can handle individual items for consumers for a batch pick, in part because profit margins in e-commerce can often be so thin (or even negative) that e-merchants need to find ways to shave every penny off of fulfillment costs.

There are other distribution center applications for sortation, such as palletization of floor-loaded inbound shipments.

But the basic principle is really the same regardless of the specific scenario: many cases of a given product are placed on the sorter at the same time to gain labor efficiencies, after which the cases, if you will, follow directions from the warehouse control system about how to separate those into individual outbound or inbound orders.

Are the labor savings from batch picking significant enough to justify the investments in the sortation system? That of course is the multi-million dollar question. The fact that so many companies continue to invest in sortation obviously says the economics must be right for many companies.

 

What would you add to this discussion on batch picking and sortation? Let us know your thoughts at the Feedback button below (email) or in the Feedback section. Anonymity will be provided upon request.


Recent Feedback

Years ago I used to be a carousel warehouse operator. This carousel system was set as one location from the entire warehouse. In other words, we had rack locations for large items, shelves locations for medium size items, and carousel for small size items. The carousel batch picking system is a good example of what this article is talking about. For example, in just one turn of the carousel, I could filled up to 12 different customer orders. This system is definitivelly efficient. Good article! Thanks.


Luis
Master Scheduler
TMO
Dec, 13 2012
 
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