Transcript SAP EWM with W2MO

SAP EWM with W2MO
SAP EWM with W2MO
What is my pain?
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Limited visualization of warehouses
Little options for simulations
Problems measuring the impact of adjustments in EWM
Difficult to identify bottlenecks in warehouses
Unintuitive labor management
What are my needs?
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3D visualization
Simulation of future scenarios
Comparison of different strategies
Identify workload & bottlenecks in 3D view
Easy to use labor management
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W2MO
3D Warehouse visualization
3D Simulation
3D Workload visualization
Staff capacity planning
Warehouse design optimization
Case Pack optimization
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W2MO
Goal W2MO is to:
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Automate
Optimize
Facilitate
Accelerate
Create the optimal layout &
processes!
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W2MO
Fast efficiency increase by…
• Comparison of different picking
strategies and automation levels
• Optimized rack setting
• Fast creation of future scenerios
• Scenario planning
• Calculation of labor efforts & costs
• Visualize dynamic and time-specific
bottlenecks
• Optimized workload balancing
• Case Pack optimization
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SAP Connector
SAP EWM
SAP
Connector
W2MO
Storage types
Bins
Bin types
Products
Fixed bins
Tasks/Orders
Etc.
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SAP EWM with W2MO
Implement
new
settings in
EWM
Create WTs
Discuss and
decide for
new EWM
settings
Transfer of WTs
& strategies to
W2MO
Analyze in
W2MO
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SAP EWM with W2MO: Example
Definition/Scope
Semi-automatic SAP EWM warehouse
Picking/Putaway strategies
Measurement
Create WTs and transfer to W2MO
Evaluation of labor costs for the current processes
Analysis
Analysis of the EWM strategies
Simulation with adjustments to parameters
Enhancement
Adjustment of the limits for pick & pack
Calculation of labor costs for optimized process
 Performance was enhanced by 22%
Performance + 22%
Control
Continuous performance monitoring
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W2MO with EWM: benefits
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3D visualization
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3D simulation
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3D workload planning
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Staff capacity planning and optimization
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Optimize your logistical processes
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Optimalize EWM parameters, such as waves, queue and slotting strategies
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Measure and enhance warehouse performance
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Slotting and optimized product allocation
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Picking route optimization
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W2MO with EWM
Reference Schukat electronic:
• Optimized product allocation
-5,5% picking hours / -4,7% picking travel distance
• Optimized product allocation + number of orders assigned per resource
-8,7% picking hours / -14% picking travel distance
• Number of orders assigned + volume allowed per resource
-8,5% picking hours
• Analysis of order structure, staging zones, processing of single items
-13,3% picking hours
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For more information
Managing Director
Rogier Post
+31 (0)652569705
[email protected]
Managing Partner
Joachim van Goch
+31 (0)645945759
[email protected]
Website
www.insidescm.eu
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