Picking management: how to optimize warehouse trips and dock management
Published on 18 February 2021
The performance of a warehouse depends on many parameters. First and foremost is the work of the forklift operators. Their key missions include moving pallets and withdrawing products to perform order preparation support operations - a job that involves many trips and a considerable degree of preparation. With a good picking logic and the right algorithms, these missions can be optimized. But what are the existing methods? How can the different trips be managed for maximum efficiency? This is what you need to know in order to improve dock management.
Optimizing preparation thanks to algorithms and picking
The logic of the storage phase also applies to the preparation phase. In traditional warehouses or warehouse areas, preparation is practiced at the bottom of the rack: the reserved slots are located high up with full pallets, while the lower slots are occupied by pallets to be withdrawn individually or on a package-by-package basis.
To maximize the performance of the preparation, the correlation between demand and organization is fundamental in the Warehouse Management System (WMS). And the picking management system must be fully adapted to the type of sales.
For this, the WMS will therefore propose to manage prepared picking slots in a “fixed” or “temporary” way. In all cases, these management methods remain complementary in order to adapt operations to market needs. This is why “temporary” picking can become “fixed”, for example when the demand associated with the product decreases over the days or seasons.
Fixed picking, which is particularly appropriate in a linear type of organization, is associated with a preparation path corresponding to the logical requirements of traffic in the aisles. Its objective is to optimize the movements or the constitution of the preparation support, or the layout in the tray or the package.
This allows, ultimately, to avoid a break in the loading rhythm at the end of the preparation process or upon arrival at the customer’s premises. In other words, from the outset, we prioritize the preparation of an order in a single package to the extent that this is possible. This avoids having to pack orders again at the end of the preparation process or sending them in two packages when one would have been sufficient.
The creation of circuits is defined by the inventory manager according to customer needs. It respects rules related to products: category, family, weight/volume, rotation, etc. However, a multitude of possible combinations can be used to optimize their constitution and promote their complementarity. It is then that algorithms take on their importance in the WMS, so as to give the manager visibility on the strategic load/capacity tandem.
The final step: a path is established on the basis of the analysis of data relating to the warehouse’s life cycle by combining available space and product type, depending on demand. When the products are stored in reception, we will use other calculations to propose reserve slots as close as possible to the picking slot corresponding to each reference.
With temporary picking or picking “under duress”, we recalculate the implementation of picking processes dynamically during the processing of a preparation cycle bearing in mind the following constraints:
- in terms of demand;
- or in terms of the products to be prepared (batches, dates, etc.).
Algorithms will then be put in place to implement picking processes matching each reference in the most appropriate way. This approach is very effective for managing relatively small product reference groups, which are in very high demand for a limited period. This is the case, for example, when launching a new collection or a special offer.
Massification or “batch picking”
Massification or "batch picking"
“Batch picking” or massification is a method of preparing orders which is characterized by the simultaneous withdrawal of several units with the same SKU code for different orders.
Specifically, the preparer uses a preparation trolley on which will be placed “n” recipients corresponding to “n” different orders. He will then be able to distribute the same reference on several orders at the same withdrawal point, thus minimizing his movements. To help the preparer, an algorithm will calculate the breakdown of missions so as to find the optimal method of grouping them together.
This principle is particularly used in e-commerce and textile sectors which handle a lot of small orders (between 1 and 3 pieces in general).
Optimizing forklift truck operators’ trips and combinations of missions
Distance calculators used to guide forklift operators’ missions
We can distinguish four main types of missions for a forklift operator:
- the directing of pallets to a reserve area on reception;
- the removal of pallets in order to replenish stocks during the picking process;
- the transfer of pallets as part of the cross-docking process;
- the withdrawal of a complete pallet for shipment or a stock breakdown mission.
These missions can be combined or crossed. When this is the case we use the term interleaving.
A great source of productivity lies in the combination of storage missions with pallet removal missions. Most frequently, we will combine two missions with drop-off and pick-up points in the same aisle. These strategies are particularly effective in so-called very narrow aisle (VNA) storage areas because the turret truck vehicles used in them are slower. They are also absolutely crucial when using Automated Guided Vehicles (AGVs) whose traveling speeds are particularly slow.
It is also possible to calculate the establishment of the missions according to a distance calculation algorithm. This functionality is implemented by configuring a distance calculator. This consists of setting up benchmarks and links between storage aisles in order to calculate the length of the journey between two storage points, which may be located in different aisles.
Optimizing the trips thanks to triangulation
Triangulation is a method used for measuring distances on a human scale. This is a process of determining a distance by calculating the length of one side of a triangle, and measuring two angles of that triangle using trigonometric entities. The WMS is inspired by it to apply it to warehouse management and thus optimize the trips by applying the most direct paths possible.
Triangulation is optimal in a radio frequency context. Indeed, scenarios ensure the automatic generation of missions by triangulation for forklift operators or dispatchers. In this case, the WMS algorithms will operate on the basis of several elements:
- benchmarks previously declared in the WMS;
- a description of the paths taken based on segments (on the same operating principle as the journey calculators available on smartphones);
- the assignment of coordinates to storage slots;
- the establishment of a distance calculator which will add the segments according to the possible routes and links.
Optimizing the allocation of docks
The WMS also knows how to calculate an intelligent allocation of docks at two key moments.
- During unloading
Depending on where the critical mass of a shipment is stored, the unloading dock will be allocated as close as possible to the preferential target storage location.
- When loading
It will be possible to choose the loading dock closest to the pick-up location, but we can also use a dynamic assignment feature.
With this operating mode, the WMS will be able to synchronize flows of different kinds (single or multi-order, etc.). This will allow it to dynamically assign a final loading dock when validating the supports at the end of the preparation process. The algorithm will then take into account the state of congestion of the docks while checking the consistency criteria (customers, delivery dates, orders).
We also use methods based on algorithms to fill the trucks as fully as possible. This work is done most of the time in collaboration with the TMS.
The concept of cross-docking consists of redistributing products in reception directly to a shipping dock without going through a storage phase. The algorithms of the WMS can operate using two tables. In the case of very long warehouses which are not designed as platforms for cross-docking, we will favor the intelligent allocation of receiving and/or dispatching docks, so as to bring them closer together and thus minimize travel distances.
In the case of product references in reception which are also in stock, the WMS can implement more sophisticated algorithms which will take into account several parameters.
Note: we can serve a “spontaneous” need using a pallet received at the dock. The system is also authorized to be used at the dock in order to avoid a succession of different transfers (the aim is to minimize “load breaks”). In this case, we can decide not to respect the FIFO (First In First Out) order. The system checks compliance with expiration dates and “date contracts”.
From pickings management to mission triangulation to the correct assignment of docks, algorithms are particularly useful to limit the movements of forklift drivers and pickers, but also to optimize efficiency in the warehouse. Precise settings and calculations combining several geographically close missions can make the difference for better dock management! Want to know more?