Preconfigured Picking Strategies
Model and compare picking strategies using preconfigured logic to reduce travel distances, improve productivity, and optimize warehouse flow.
Data-Driven Storage Strategies
Evaluate storage and SKU positioning strategies to reduce unnecessary movement, improve picking efficiency, and maximize warehouse capacity.
Layout and Headcount Optimization
Evaluate layouts, resources, and headcount to identify bottlenecks, improve capacity planning, and optimize workforce allocation.
Reduce warehouse simulation development time by up to 60%
WFlex is a specialized warehouse module for FlexSim designed to simplify and accelerate the development of simulation models for warehouse and distribution center studies. Built from years of experience in warehouse and logistics projects, WFlex combines standardized data inputs, advanced algorithms, and preconfigured logistics flows and strategies, reducing the need to develop complex logic from scratch.
Designed as a plug-and-play solution within FlexSim, WFlex provides ready-to-configure ProcessFlow Activity Sets that can be directly integrated into FlexSim models. These resources support key warehouse strategies, including picking optimization, storage strategies, warehouse route planning, bottleneck analysis, and planning and scheduling.
By incorporating these predefined structures into the modeling environment, WFlex allows users to spend less time building standard behaviors and more time evaluating scenarios and optimizing strategies.
From warehouse data to planning and optimization
WFlex structures warehouse analysis across interconnected data, analytics, optimization, scheduling, and planning layers. This approach connects raw data with performance analysis, constraints, resource allocation, and scheduling to support more structured and data-driven warehouse strategies.
Native Integration with FlexSim
WFlex works directly within the FlexSim environment, extending its simulation capabilities with preconfigured warehouse logic and advanced resources for modeling, analysis, and optimization.
As a FlexSim module, WFlex can be integrated into existing models and adapted to different warehouse requirements, combining faster model development with the flexibility to evaluate and customize scenarios, strategies, and specific project needs.
Integration capabilities include:
- Native FlexSim 3D environment
- Dedicated 3D warehouse objects
- Preconfigured warehouse logic
- Picking strategy configuration
- Storage and SKU positioning strategies
- Layout, resource, and headcount configuration
- Integration with existing FlexSim models
What this enables:
- Faster warehouse model development
- Less time spent building complex logic
- Greater flexibility for scenario analysis
- More consistent warehouse modeling
- Reuse of models across similar warehouses
- More time focused on strategy and optimization
Improving warehouse efficiency with WFlex
WFlex enables companies to improve warehouse efficiency through simulation, structured strategies, and data-driven analysis, reducing unnecessary movement, optimizing workforce allocation, and improving picking performance.
15%
increase in productivity
13%
reduction in workforce requirements
63%
reduction in replenishment activities
4%
reduction in internal movement
Current storage strategy
Picking and Storage Times
Storage strategy optimized with WFlex
Picking and Storage Times
WFLEX
Bring advanced warehouse and picking capabilities to your FlexSim models
Learn more about WFlex and explore its preconfigured warehouse logic, picking and storage strategies, SKU positioning, headcount planning, and dedicated tools designed to accelerate the development and analysis of warehouse simulation models.
Plan your warehouse strategy with WFlex.
Developed by EYF, WFlex enables you to evaluate picking strategies, optimize SKU positioning and storage rules, analyze headcount requirements, and compare warehouse scenarios through simulation.
For any questions about WFlex, its capabilities, or how to apply it to your warehouse models, contact our team.