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Development of a Smart Factory Management Dashboard for Clear Vision Cooling

lizard.global

Manufacturing

Information technology

Current Manual Production Planning Challenges

The Production Manager relies on Excel spreadsheets to schedule factory orders, leading to inefficiencies, errors, and scalability issues. Manual management of just-in-time production priorities results in delays and suboptimal resource allocation in a dynamic production environment.

About the Client

A manufacturer of commercial refrigeration doors, LEDs, and profiles operating a fully autonomous smart factory with ML-driven robotics.

Objectives for the Smart Factory Dashboard

Replace manual Excel-based planning with an intuitive digital dashboard
Enable real-time scheduling and adjustment of factory orders
Integrate with existing ML-driven automation systems for seamless control
Improve production efficiency and error reduction
Support scalable management of future production capacity

Core System Functionalities and Features

Real-time visualization of current and upcoming orders
Drag-and-drop scheduling interface for production lines
Integration with ML-powered factory robots and IoT sensors
Adjustable parameters for product configurations (e.g., shelves, LED types, door orientation)
Scalability controls for managing expanded production capacity

Preferred Technologies

Machine Learning frameworks (e.g., TensorFlow, PyTorch)

Web application stack (React, Node.js, REST APIs)

Cloud infrastructure (AWS, Azure)

IoT communication protocols (MQTT, OPC UA)

Required System Integrations

Existing ML-driven factory automation systems
IoT-enabled production equipment
ERP/MES systems for order management
User authentication and role-based access control

Non-Functional Requirements

High availability and fault tolerance for critical systems
Low-latency real-time data updates
Role-based security and data encryption
Responsive design for iPad and desktop access
Horizontal scalability for future factory expansions

Expected Business Impact of the Smart Factory Dashboard

The dashboard will reduce manual planning time by 70%, decrease production errors by 50%, and enable seamless scaling of factory output. Real-time machine integration will improve resource utilization, while dynamic scheduling capabilities will enhance on-time delivery rates and customer satisfaction.