OEE Performance Monitoring and Management System

OEE Performance Monitoring Management System Data Insight is a solution in the field of OEE monitoring system / machine performance monitoring / production monitoring / Industrial IoT / Smart Factory / machine data collection / downtime analysis / factory digitalization / machine performance monitoring system / OEE management / production monitoring / machine data collection / downtime analysis, developed and deployed by Data Insight Vietnam Technology Co., Ltd. for manufacturing enterprises, FDI factories, precision mechanics, electrical - electronics, components, supporting industries, and units that need to monitor machine operational efficiency during production.
The solution is used to automatically collect data from machinery via AIoT / IoT devices, then display and analyze operational status, running time, stopping time, waiting time, incidents, and other equipment performance-related data. The system is suitable for CNC machine, machining center, production machine, automated production line and factories that need to transition from manual recording to data-driven production management.
System deployment needs to be based on machine type, number of devices to be monitored, collectible signals, connection method, network infrastructure, servers, production processes, KPIs to be tracked, downtime analysis requirements, and the management objectives of each factory.

1. Key Features of the Product

The system is developed by Data Insight with an Industrial IoT OEE Monitoring approach, combining machine data collection devices with management software and intuitive dashboards to monitor equipment performance in real-time.
The solution supports displaying running / stopping / waiting status, operating time, and activity history of each machine, helping managers quickly identify the production status in the factory.
The system also supports Downtime analysis, statistics on the number of machine stops, stop duration, and causes of disruption, thereby helping businesses identify areas for priority improvement.
Historical data can be used to compare performance by shift, by machine, or by production phase, supporting the assessment of equipment utilization levels and the development of operational improvement plans.

2. What Needs Does the Product Address?

- Real-time machine status monitoring.
- OEE management in the factory.
- Theo dõi machine operating time.
- Theo dõi running / stopping / waiting time.
- Phân tích Downtime.
- Identifying machine downtime causes.
- Automatic machine data collection.
- Theo dõi hiệu suất CNC machine.
- Production monitoring.
- Smart Factory.
- Manufacturing data analytics.
- Supporting maintenance management and equipment improvement.
- Factories needing to replace manual production records with automatic data.

3. Consulting and Deployment Process

The process may include:
- Factory and machinery system survey.
- Determining the number of devices to be monitored.
- Checking signals and connectivity of each machine.
- Identifying data to be collected.
- Assessing network infrastructure and servers.
- Selecting appropriate IoT / AIoT devices.
- Installing and connecting data collection devices.
- Software and dashboard configuration.
- Verifying data accuracy.
- Setting up KPIs and Downtime cause groups.
- Operator training.
- System monitoring and improvement after deployment.

3.1. Selection Criteria

The solution should be based on:
- Type of machinery and production equipment.
- Number of machines to be monitored.
- Available signals from machines.
- Connection protocols.
- Statuses to be monitored.
- Production output data.
- Machine running and stopping times.
- KPIs to be managed.
- OEE calculation requirements.
- Downtime classification method.
- LAN / Wi-Fi / industrial network infrastructure.
- Server or data storage platform.
- Number of system users.
- Dashboard and reporting requirements.
- Future scalability.

3.2. Key Specifications and Features

- Sản phẩm: OEE Management & Monitoring System.
- Provider: Data Insight Vietnam Technology Co., Ltd.
- Country: Vietnam.
- Loại: OEE Monitoring / Machine Monitoring / Industrial IoT Solution.
- Nền tảng: Smart Factory.
- Function: Machine data collection and performance monitoring.
- Status Monitoring: Running / Stopping / Waiting.
- Monitoring: Operating time / Downtime / Machine status.
- Analysis: Downtime cause / Machine performance / Historical data.
- Display: Dashboard / Data visualization.
- Connectivity: IoT / AIoT and machinery systems.
- Application: CNC machine / machining center / production machine / automated production line / industrial factory.
- System Configuration: Determined based on current status and requirements of each factory.
- Scalability: Chosen based on the number of machines and management needs.

3.3. Information Required from Customers

- Factory type.
- List of machines to be monitored.
- Machine model and brand, if available.
- Number of machines.
- Existing signals or communication ports.
- Machine statuses to be monitored.
- Production KPIs to be managed.
- Current OEE calculation method.
- Downtime cause groups.
- Network infrastructure.
- Existing server or IT infrastructure.
- Number of users.
- Reporting and dashboard requirements.
- Improvement objectives after deployment.

3.4. System Verification and Evaluation

Before deployment, it is necessary to survey the actual signals of each machine, connectivity, network infrastructure, and data collection methods to ensure accurate machine status recording.
After integration, software data needs to be cross-referenced with actual machine operations, checking running, stopping, waiting times, and Downtime causes to minimize data discrepancies.
During operation, OEE data, performance trends, and main loss categories should be periodically evaluated to identify areas for priority improvement.

4. Benefits for Customers and Businesses

The system helps businesses transition from manual machine monitoring to automatic machine data collection, supporting increased transparency of production data and reducing reliance on manual reporting.
The ability to monitor running time, stopping time, and Downtime causes helps factories identify periods of lost productivity, identify low-performing equipment, and build a database for production improvement.
Real-time visualization of machine status also helps management, production, and maintenance departments coordinate faster when anomalies occur during operation.

5. Highlights and Suitable Customers

- Real-time machine monitoring.
- OEE management and OEE monitoring.
- Automatic machine data collection.
- Running / stopping / waiting monitoring.
- Downtime analysis.
- Downtime cause management.
- Historical operation timeline.
- Machine performance analysis.
- Production data visualization.
- Industrial IoT integration.
- Smart Factory support.
- Suitable for CNC machine and machining center.
- Suitable for production line and industrial machinery.
- Can be deployed according to the current status of each factory.
- Suitable for Production Manager, Factory Manager, Maintenance Manager, and Digital Transformation Team.
The Data Insight OEE Performance Monitoring Management System is suitable for businesses that need automatic machine data collection, equipment performance monitoring, and analysis of loss causes in production, especially for factories requiring real-time machine monitoring, OEE management, downtime analysis, Industrial IoT, and Smart Factory digitalization.