Advanced Slotting

easy to use and powerful

Reduction of picking and replenishment time through predictive calculation of expected order load and resulting replenishment impulses

phenomenal google geographic data

Various algorithmic approaches to consider restrictions such as load balancing, branch sequence, or common jointly required articles

easy to use and powerful

Creation of stock transfer lists for efficient implementation of the calculated assignment in practice

easy to use and powerful

Integration into the process flow of the LVS for optimization without additional effort for employees

easy to use and powerful

Dynamic determination of optimal storage bin location at putaway, considering the quantity to be put away, expected sales and, if necessary, further storage restrictions

easy to use and powerful

Optimized distribution of articles in automatic storage system and manual area for a good load of the systems and compliance with capacity restrictions

Advanced Slotting

  • Increase of picking efficiency
  • Decrease of replenishment efforts
  • Reduction of transport damages
  • Reduction of picking errors
  • Generation of equal workload utilization

Using innovative algorithms, W2MO calculates the optimal warehouse assignment considering various criteria and restrictions. The reduction of the picking route, reduction of needed picking time, equal utilization of workload on different warehouse areas, and many other aspects are included as well. A branch sequence can be considered or a significant reduction in product damages can be achieved by placing heavy products at the beginning of the picking tour ahead of fragile products. With the help of sophisticated calculation methods, it is also possible to analyze huge amounts of data to identify which products are often ordered together. These items will then be placed close to each other in a corresponding "set assignment". In contrast, the separation of bin locations for comparable products, so called “look-alikes”, reduces picking errors. Additionally, W2MO generates changeover lists that calculate how to achieve this optimized reorganization in the fewest moves possible. Multiple visualization functions of W2MO enable easy analysis of product placement in 2D and 3D.

Dynamic putaway and reorganization

  • Dynamic putaway: determination of an optimized putaway location, which enables a cost-optimized picking and replenishment process
  • Consideration of the quantity to be put away and the current stock situation
  • Consideration of historical and expected disposal quantities
  • Systematic stock transfer lists for a practice-oriented reorganization
  • Sorting of the stock transfer proposals according to their effect on the expected workload

In order to optimize the warehouse assignment in an existing process, there are two basic approaches: dynamic putaway and periodic reorganization. In dynamic putaway, the target storage bin is determined considering the current free storage bins as well as the historical and expected outgoing quantity at the moment the transport order is carried out. In this way, a better assignment is successively produced and then constantly maintained. In a periodic reorganization, an improved warehouse assignment is achieved through targeted stock transfers. The stock transfers can be sorted according to their effects on the amount of work to be saved, and thus reorganization activities can be done piece by piece in a targeted manner, allowing you to prioritize certain workflows.

Storage in automatic storage systems

  • Precise calculation of space requirements and number of containers needed for optimized utilization of the automatic storage system
  • Decision at product level on assignment to automatic or manual warehouse system
  • Consideration of volume, weight restrictions, and other parameters relevant for storage
  • Selection of a suitable storage container using the W2MO Case Pack algorithm
  • Estimate of costs and workload

Many logistics systems consist of a combination of manual and automatic storage areas such as a shuttle warehouse or an automatic small parts warehouse. In the planning phase when dimensioning the system, as well as in later operations, the question arises as to which articles should be stored in which quantity in which storage system. Here W2MO provides answers by using appropriate algorithms, which determine an optimized workload utilization considering weight and volume limits and decide whether an article is better stored in the automatic or manual area.

Operational use

  • Integration with SAP WM/EWM and any other WMS using the W2MO SAP or general database connector and RESTful APIs
  • Flexible calling via planned processes, triggered function calls, or the user interface
  • Simulation mode to check the expected efficiency gain
  • No special training for employees is required, as functionality can be integrated into existing workflows
  • No risk, because in the event of a malfunction LVS Standard can be used

The optimization algorithms from W2MO find their way into operational use via the digital twin. The flexibly adaptable integration ranges from printing stock transfer lists to the automated creation or updating of transfer orders in SAP WM/EWM or any other warehouse management system. Thereby the user interface of W2MO can be used or set to a completely background execution. In any case, in simulation mode the achievable improvement becomes transparent and measurable at any time. There is no additional risk in operative business, since the occupancy predetermined by the warehouse management system can always be accessed.

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