Operational & Resource Management Systems

The system will provide a comprehensive 3D simulation environment for wire forming and sheet metal stamping machines, allowing users to design, test, and optimize production programs without physical machine interaction.

The system should automatically analyze images of steel products to identify and classify various types of defects.

The system will measure wood dimensions using sensors, process the data, calculate optimal cutting patterns, and control saw positioning for precise cutting.

The platform should provide real-time monitoring of worker activity, performance analysis, automated reporting, and safety alerts. It should integrate with existing manufacturing systems for data capture and workflow management.

The system should provide comprehensive functionality for managing jobs from initiation to completion, including task assignment, progress tracking, resource management, and reporting.

The platform will collect machine data from PLCs, analyze it using machine learning algorithms to detect anomalies, and provide users with real-time insights and alerts. It will also offer administrative controls for managing users, customers, and machines.

The platform should allow for the creation, storage, and distribution of presentations with various media types, including infographics, images, videos, and data visualizations. It must be accessible on multiple devices, with optimized interfaces for different screen sizes and input methods.

The system should ingest video data, perform automated analysis using AI algorithms, and generate reports and visualizations to provide insights into production processes.

The system should provide a modular and independent frontend architecture, enabling the development and deployment of separate applications (micro frontends) for different functionalities such as user portal, dashboards, statistics, and authentication. It should support orchestration and re-use of shared components.