The success of warehouse automation relies on continuous, real-time updates to enable the best decisions across various resource allocations. Such dynamic adjustment of resource allocation can only be achieved via effective control and monitoring.

    First is the equipment control system with goals such as:
1) Enable cross-platform HMI (Human-Machine Interface) support for operator terminals, including industrial panel PCs, ruggedized tablets, handheld barcode terminals, and mobile PDAs compliant with IP65 ingress protection standards.
2) Implement barcode and 2D data matrix code management using fixed-mount and handheld scanners, with integration to WMS databases for real-time inventory tracking and traceability.
3) Integrate automated material handling equipment such as conveyor systems, automated guided vehicles (AGVs), vertical lift modules (VLMs), and robotic palletizers via industrial communication protocols (e.g., ProfNet, EtherCAT, OPC UA).

    Second, we developed a material control system with functions including:
1) Integrate resources across warehouse subsystems using middleware for API orchestration, supporting interoperability among ERP, WMS, and MES platforms.
2) Apply centralized scheduling algorithms and constraint-based optimization engines to automate resource allocation and eliminate manual scheduling.
3) Utilize statistical process control (SPC), predictive analytics, and machine vision-based inspection to optimize workflow efficiency and minimize downtime.

    In parallel with the control system, we engineered a SCADA-based Monitoring System for real-time asset visibility, equipment status diagnostics, automated alarm handling, and industrial network port management. The system aggregates telemetry from PLCs, IIoT edge devices, and transport subsystems for centralized dashboard visualization and event-driven alerts.