AS/RS architectures, compared objectively

Understand how architectural choices influence density, throughput, energy use, and total cost over time.

Capability Traditional AS/RS Cube-based systems Hexxabotics
Full use of warehouse height
Limited by aisles & mechanics
Height increases structural complexity
Good vertical usage
Efficiency affected by stacking logic
Uses full cubic volume
Density improves with height
Direct access to every location
Centralized lifting cores
Performance tied to cranes/shuttles
Requires digging through bins
Every location accessible
No digging required
No reshuffling required
Not required (aisle-based)
Reshuffling required to reach lower bins
No reshuffling at any time
Independent scaling (storage & throughput)
Storage & performance coupled
Scaling requires infrastructure duplication
Scaling influenced by grid configuration
Decoupled storage and throughput
Add towers or robots separately
Peak throughput performance
Limited by crane/shuttle capacity
Structural expansion required
Robot-based scaling
Efficiency reduced by digging logic
Add robots to scale throughput
No structural changes needed
Energy efficiency
Heavy steel consumption
Energy-intensive mechanics
Energy used in reshuffling cycles
Reduced steel usage
Continuous motion, no digging cycles
Peak power demand
High start-up peaks from centralized lifting
Distributed robot load
Distributed robotic load
No centralized lifting cores
Installation Effort
Long installation time
Heavy engineering required
Modular grid installation
Modular & prefabricated
Faster installation
Required surrounding equipment
Conveyors, lifts, safety systems required
Minimal additional infrastructure
No centralized lifting
No heavy surrounding equipment
Relocation potential
Fixed installation
Difficult to relocate
Partially modular
Reconfigurable & relocatable
Serviceability
Failures can stop entire sections
Robot redundancy
Flow impacted by digging logic
No single point of failure
Dynamic task reassignment
Cost structure & TCO
Cost escalates with scale
Rising long-term TCO
Scales with robot count
Cost grows proportionally
Predictable long-term TCO

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