Automated Storage and Intelligent Material Flow
Automated storage, mobile robots and smart conveyors were orchestrated as one centrally managed material flow.
Company names, facility locations and identifying information have been removed. Performance values are presented as rounded ranges to protect customer confidentiality.
Automated Storage and Intelligent Material Flow
Storage, picking and line-feeding decisions were fragmented, increasing manual traffic and making priorities difficult to manage during peak demand.
The objective was to create a sustainable operating model rather than automate an isolated task.
Operational consistency
Storage, picking and line-feeding decisions were fragmented, increasing manual traffic and making priorities difficult to manage during peak demand.
Integrated architecture
We modelled the end-to-end flow first, then integrated AS/RS, AMRs, conveyors, identification and central task management.
Scenario-based acceptance
Normal operation, exceptions, recovery and critical safety scenarios were tested with operations teams.
Engineering approach
From requirement to system behavior
- Field requirements and operating constraints were modelled before implementation.
- Equipment, software and data interfaces were designed around a common operating context.
- Operator guidance, alarms and recovery scenarios were included in the design.
Controlled implementation
- We modelled the end-to-end flow first, then integrated AS/RS, AMRs, conveyors, identification and central task management.
- Changes were verified through traceable test and acceptance scenarios.
- Operations and maintenance teams participated in commissioning and handover.
Measurable operational outcome
Warehouse and production movements became visible, prioritized and recoverable within a unified material-flow operation.
