What is Fogwing?
Fogwing provides a comprehensive suite of software solutions designed for smart manufacturing environments. It integrates Computerized Maintenance Management Systems (CMMS), Asset Performance Management (APM), and Quality Management Systems (QMS) into a unified platform, enhanced by Artificial Intelligence. This platform aims to optimize industrial operations by digitalizing asset management, streamlining maintenance processes, monitoring production efficiency, and automating quality control.
Leveraging technologies like the Industrial Internet of Things (IIoT) and AI, including computer vision and generative AI assistants, Fogwing enables manufacturers to gain real-time visibility into their operations. It facilitates data-driven decision-making for improved asset reliability, reduced downtime, enhanced production throughput (OEE, cycle time), automated quality inspections, and better workplace safety monitoring. The platform caters to various industries, offering tools to manage assets, maintenance schedules, production metrics, and quality standards effectively.
Features
- CMMS for Maintenance: Simplifies work order management, task assignment, tracking, and completion.
- EAM for Asset Management: Digitizes asset information, categorization, associations, and reliability tracking.
- APM for Asset Monitoring: Automates preventive maintenance tasks, scheduling, and assignments to prevent downtime.
- Matrix for Productivity: Offers real-time visibility of production metrics like OEE, OOE, Cycle time, and Throughput via machine monitoring.
- Vision for Quality Inspection: Automates quality checks using AI-powered computer vision technology.
- Eco for Workplace Safety: Monitors shop floor environments and worker safety using environmental sensor technologies.
- IIoT Platform: Connects machines and equipment to track sensor data and provide operational intelligence.
- Fogwing Edge: Edge computing devices with machine learning capabilities for local data processing.
- Industrial AI Copilot: Provides AI assistance across various manufacturing operations.
Use Cases
- Digitalizing and streamlining maintenance operations.
- Maximizing asset reliability and managing asset lifecycles.
- Monitoring and optimizing production efficiency (OEE, cycle time).
- Automating quality control inspections with computer vision.
- Monitoring industrial pollution and ensuring workplace safety.
- Implementing Industrial IoT solutions for machine data tracking.
- Improving operational excellence in manufacturing industries.
- Enabling predictive and preventive maintenance strategies.
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