Validating Warehouse Automation & Design with Data-Driven Modeling

Warehouse Automation Modeling

Performance Assured Through Proprietary Modeling Simulations

Unlock data-driven insights for designing, implementing, and fine-tuning your automated warehouse systems! Through Apex’s proprietary modeling and justification analysis, we can simulate how your automation solutions will perform in a range of diverse scenarios.

Automation modeling is a cost-effective and low-risk method for testing your automated warehouse design and determining how it will deliver the expected efficiency, operational costs, and performance metrics you need.

Automation Modeling Analysis

Simulate the operations utilizing automation technologies such as:

Robotics - AMRs, AGVs, robotic forklifts
Conveyor systems
Automated storage & retrieval systems (AS/RS)
Pick, pack and ship automation
Additional advanced machinery

Contact the Apex team to speak with an automation specialist and explore the tools available to you to optimize material flow, manage labor resources, and control operating costs.

Free Evaluation

From Concept to Reality: Achieve Your Optimization Goals

Your warehouse modeling simulation will take you one step closer to realizing your optimization goals:

Layout Design: Modeling the physical layout of the warehouse, including the placement of storage racks, aisles, workstations, and automated equipment.
Material Flow Analysis: Simulating the flow of materials and products through the warehouse, from receiving to storage, picking, packing, and shipping.
Resource Allocation: Optimizing the allocation of resources such as robots, conveyors, and picking stations to maximize efficiency and throughput.
Process Optimization: Identifying bottlenecks, inefficiencies, and potential areas for improvement within the warehouse operations.
Simulation: Running simulations to test different scenarios, such as changes in order volume, product mix, or warehouse layout, to evaluate their impact on productivity, throughput, and operational costs.
Performance Metrics: Analyzing key performance indicators (KPIs) such as order fulfillment rates, cycle times, inventory accuracy, and labor productivity to assess the effectiveness of the automated warehouse system.