1. System Architecture
· Platform: Cloud-based or on-premises deployment options.
· Core Modules:
o Production Management.
o Quality Management.
o Equipment Management.
o Inventory and Logistics Control.
o Data Analysis and Reporting.
o Traceability and Genealogy.
· Database: Supports MySQL, PostgreSQL, SQL Server, or Oracle.
2. Hardware Requirements
· Server Requirements:
o CPU: Minimum 8-core, 3.0 GHz.
o RAM: 32 GB or more.
o Storage: SSD with 2 TB capacity.
o Network: 1 Gbps Ethernet.
· Client Devices:
o Supported on PCs, tablets, and mobile devices.
o Browser Compatibility: Chrome, Edge, Firefox (latest versions).
3. Functional Specifications
3.1 Production Management
· Work Order Tracking: Real-time tracking of work orders and production stages.
· Process Control: Monitors compliance with predefined manufacturing processes.
· Resource Allocation: Ensures optimal utilization of machines and labor.
3.2 Quality Management
· Defect Detection: Logs defects and automates alerts for corrective actions.
· SPC (Statistical Process Control): Monitors key quality parameters to ensure consistency.
· Inspection Management: Configurable workflows for inline and end-of-line inspections.
3.3 Equipment Management
· Predictive Maintenance: Utilizes machine data to predict and schedule maintenance.
· Downtime Analysis: Tracks and categorizes downtime to improve OEE (Overall Equipment Effectiveness).
· Integration: Interfaces with IoT devices for real-time equipment data collection.
3.4 Traceability
· Batch and Serial Tracking: Monitors material flow across production lines.
· Genealogy: Links components and processes to finished products for complete traceability.
· Regulatory Compliance: Generates audit trails for certifications and reporting.
3.5 Inventory and Logistics Control
· Material Flow Optimization: Real-time updates on inventory levels and usage.
· Warehouse Management: Supports raw material, WIP (Work-in-Progress), and finished goods tracking.
· Supply Chain Integration: Interfaces with ERP systems for seamless material management.
4. Communication Protocols
· Supported Protocols: OPC UA, Modbus, MQTT, RESTful API, and WebSocket.
· BMS Integration: Supports CAN, RS485, and Ethernet communication.
· ERP/SCADA Integration: Prebuilt adapters for SAP, Oracle, and Siemens systems.
5. Security
· Authentication: Multi-factor authentication (MFA) for secure access.
· Encryption: AES-256 encryption for data transmission and storage.
· Backup and Recovery: Automated backup schedules and disaster recovery protocols.
6. Scalability and Performance
· Concurrent Users: Supports up to 500 simultaneous users.
· System Load: Capable of managing 1 million production data points per day.
· Customization: Flexible modules for future expansion and additional functionalities.
7. Data Analytics and Reporting
· Real-Time Dashboards: Interactive dashboards for KPIs, including yield rates, cycle times, and OEE.
· Custom Reports: Configurable templates for production, quality, and inventory reporting.
· AI Integration: Optional machine learning algorithms for predictive insights.
