Optimized Transport Orders and Order Sequence.

Reduce the walking distance for picking and equalize the load throughout your warehouse while still keeping the cut-offs for your orders.

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Optimized Transport Orders and Order Sequence

Features at a glance

What the algorithms deliver.

Combinatorial algorithms

Instead of simple sorting for optimized transport orders.

Optimization of order sequence

Considering both automated and manual sections holistically.

Equalization of the workload

In consolidation areas and storage areas through appropriate sequencing of replenishment and picking orders.

Reduction of travel effort

Through sensible combination of orders in multi-order picking.

Increase of delivery performance

With simultaneous reduction of processing time through correct wave sizes and avoidance of bottlenecks.

Integration into existing operational systems

Via SAP or database connector or RESTful APIs.

Optimized Tour Building & Routing

Shorter tours, no traffic jams.

Holistic consideration using combinatorial algorithms
Reduction of walking and driving effort
Avoidance of traffic jams
Equalizing load
Interaction with the methods for product placement

The efficiency of multi-order picking processes depends on the correct sequence and configuration of the orders. On the one hand, this multi-order picking process aims to minimize the effort required for order picking. On the other hand, restrictions such as departure times and workload on packing stations must be considered. Time-consuming optimization runs, which may take place overnight, are no longer necessary. Despite the availability of large amounts of data and the complexity of individual restrictions, the situation must be reassessed frequently. W2MO meets this challenge with state-of-the-art combinatorial optimization technology and algorithms, resulting in picking tours with shorter distances and no traffic jams due to equal load distribution. It is not sufficient to minimize path lengths for single tours. Instead, the total amount of all required picks must be considered to avoid having one long tour as the “cost” of another very short one.

Optimized Order Sequence

Right priorities, right start times.

Prioritization of orders to ensure adherence to schedules
Reduction of downtimes to increase productivity
Calculation of a suitable start time based on the expected workload
Synchronization of replenishment and picking orders
Coordination of the consolidation of different storage areas
Equalization of the workload of buffer and consolidation areas

The objective of optimizing the order sequence is twofold: to ensure timely delivery and to enhance the productivity of employees and machines by reducing downtime. The Digital Twin of the distribution center enables the estimation of the expected workload to complete an order. This is achieved by considering personnel and machine resources, system performance, and picking and transport speeds. Based on these factors, a suitable start time window for the order can be determined. Buffer and consolidation areas should be evenly utilized and a coordinated combination of different storage areas should take place. With the integration of the online workload preview it is possible to detect early on if the scheduled deliveries cannot be processed with the available resources in the specified time. Re-prioritization can then be carried out.

Intelligent Replenishment

Punctual delivery, even under volatile demand.

Demand-oriented inventory calculation
Prioritization of order sequences for replenishment
Forecast of replenishment
Reduction of picking efforts
Increase of service level and alignment to delivery dates

Volatile demand represents the most significant challenge in picking and replenishment processes, frequently resulting in temporary peaks in replenishment that may exceed the maximum supply chain capacities. Replenishment systems must therefore rely on intelligent concepts and algorithms capable of fulfilling the needs of highly dynamic material flows. In this regard, W2MO offers tailored solutions and modern calculation methods that guarantee durable and punctual delivery capacity through range-driven target stock calculation and prioritization of replenishment order sequences. This also results in a reduction of picking efforts, as incorrect picks are avoided. An optimal bin assignment can also be calculated with consideration of picking and replenishment times. Replenishment bottlenecks can be smartly avoided when under-load times are being used purposefully for replenishment precautions. W2MO and its intelligent algorithms can identify articles that will most certainly be demanded in the near future.

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