Intelligent Algorithms
Smart optimization algorithms as key element in digitalized logistics
The core of digitalization are algorithms. With the help of intelligent algorithms,
W2MO has the necessary head start to meet the requirements of increasingly dynamic and
complex logistics systems. Optimal and overall control of each process is fundamental for
order sequencing, warehouse assignment, replenishment and efficiency in the entire logistics
center.
Every single element in this process chain must be linked to the other processes in such a
manner that the individual tasks are processed in the best possible way and overall
productivity is optimized and stabilized at the same time.
EFFICIENCY INCREASE FOR SAP EWM / WM / TM / ERP
Being a SAP Application Development Partner for several years, Logivations supports in
implementation of new technologies and in simulation and optimization of structures, product
flows and processes by a practical and holistic approach.
Machine learning and mathematical optimization allow an impressive efficiency increase for
SAP EWM, WM / LES, TM or ERP.
3D-Package Builder for
carton and portfolio optimization
- Directly integrated in SAP TM, forecast of the required transport capacity and
pallet / packing scheme
- Transport consolidation by optimal loading of shipping containers (pallets,
cartons, gitter boxes, containers)
- Automatic generation of packing schemes for easy and step-by-step pallet and
carton building with 3D view in browser / tablet
SAP Application Development Partner
As SAP Application Development Partner, Logivations offers direct compatibility to your SAP
systems and a fully standardized integration done by our experts to increase efficiency of
IT systems in warehouse and logistics. The needed installations to improve SAP EWM can be
set-up short term. On the SAP side, an interface component is implemented in the SAP EWM.
This interface is directly available from SAP, Logivations will be happy to provide the
needed contacts. W2MO is then installed in the customer's network (or temporary on a laptop)
and is connected to SAP EWM via web services. The web services enable a direct data exchange
for the relevant standard data files. Customer specific data files can then be added and
transferred using the same technology. W2MO covers "White Spaces" (as defined by SAP) for
partner solutions.
You are not yet using SAP EWM, but SAP WM/LES or another LVS?
W2MO can be successfully implemented to increase efficiency and to be used with individual
interfaces in this case as well.
Advanced Slotting – intelligent product
placement
- Increase of picking efficiency
- Decrease of replenishment efforts
- Reduction of transport damages
- Reduction of picking errors
- Generation of equal workload utilization
- Operational implementation with optimized changeover lists
Using innovative algorithms, W2MO calculates the optimized 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 locating heavy products at the beginning of
the picking tour ahead of fragile products. With help of sophisticated calculation methods,
it is also possible to analyze huge amount 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 return, by separating the bins with similar products, so-called
"look-alikes", a reduction of picking errors is achieved. As a result, W2MO generates
changeover lists, sorted according to the efficiency of single changeovers, which suggest an
optimized reorganization. Multiple visualization functions of W2MO achieve an easy analysis
of the product placement in 2D and 3D.
OPTIMIZED TOUR BUILDING & ROUTING
- Holistic consideration using combinatorial algorithms
- Reduction of walking and driving effort
- Avoidance of traffic jams
- Equal load balancing
- Interaction with the methods for product placement
The efficiency of multi-order picking processes depends very much
on the right sequence and configuration of the orders. On the one hand, this multi-order
picking process has the goal of minimizing the efforts required for order picking. On the
other hand, restrictions such as departure times and workload on packing stations have to be
considered. Time-consuming optimization runs, possibly even overnight, are things of the
past. Despite large amount of data and complex individual restrictions, the situation should still be constantly reassessed in short time. W2MO meets this challenge with
state-of-the-art combinatorial optimization technology and algorithms. Resulting are picking
tours with shorter distances and no traffic jams due to equal load distribution. Minimizing
path lengths for single tours is not sufficient. The total amount of all required picks
must be considered always instead, so you do not have to accept one rather long tour as
“costs” of another very short one.
Intelligent replenishment
- Days of inventory calculation
- Priorization of order sequences for replenishment
- Forecast of replenishment
- Reduction of picking efforts
- Increase of service level and alignment to delivery dates
The biggest challenge comes from the direct interconnection between the picking and
replenishment processes when volatile demands lead to temporary peaks of the replenishment,
which might exceed the maximum supply chain capacities. Replenishment systems therefore
require smart concepts and algorithms which can fulfil the needs of highly dynamic material
flows. W2MO comes here into the play with its tailor-made solutions and modern calculation
methods to guarantee durable and punctual delivery capacity by range-driven target stock
calculation and prioritization of the replenishment order sequences. Replenishment
bottlenecks can be smartly avoided when under-load times are being used purposefully for
replenishment precautions. W2MO and its intelligent algorithms can identify the relevant
articles, which are most certainly demanded in the near future.
Case pack optimization / 3D-Package builder
- Optimized selection of correct transport container
- Calculation of transport containers considering product dimensions and outer packaging,
material flow, joint packing restrictions as well as many other parameters
- Consideration of individual orientation, stacking factors and fragility
- Interactive visualization of packing scheme in 3D
- Integration with identification workplace
Choosing the correct transport container has a huge impact on the transport costs and on
logistics efficiency. Simple precalculation methods consider only volume and weight of the
freight and the container itself. This approach where the objects are clearly "liquefied",
requires a high safety buffer ("air") in the transport container, since most of the objects that
should be packed have certain dimensions and do not fit in a random combination into a
container. W2MO Case Pack Optimization / 3D-Package Builder is a powerful system which considers the dimensions of
the packed objects and the transport containers and their orientation. Sophisticated
mathematical algorithms take into account many other restrictions as e.g. material flow,
stackability, fragility or joint packing restrictions. The visualization of the calculated
packing scheme with the interactive options in 3D accelerates the packing process in practice.
The result can be presented on almost any device such as a tablet or PC. An integration with the
identification station
allows the direct applicability at the packing station.
Case portfolio optimization
- Optimal quantity and dimensioning of case types for a given order spectrum
- Interactive optimization or fully automated approach, supported by algorithms
- Reduction of material-/ and transport costs
- Reduction of picking efforts
- Reduction of transport damages by correct dimensioning
A non-optimized case portfolio leads in practice to a high consumption of filling material,
poorly-packed cartons and a high rate of transport damages. This is often caused by a variety of
different-sized shipping cartons, which are used without systematic analysis. W2MO Case
Portfolio Optimization determines an optimized quantity and dimensioning of transport
containers for given order scenarios. There is an algorithmically supported and interactive as
well as a fully automated approach that uses the calculation methods of carton and case
optimization. In both cases, the goal is to create the conditions for the best order packing
possibility and to determine an appropriate case set. Due to the strong parallelization and
particularly efficient data structures, the processing of very large amounts of data is
possible, so that corresponding longer time periods can be included for a well-founded
analysis.
By continuing to browse our site you agree to our use of cookies, web analytics, Privacy Policy and Terms of Service. More information
I agree