Smart Factories • IoT & Artificial Intelligence
Material traceability from supply to shipment, real-time visibility, and autonomous decision support: an integrated Industry 4.0 solution that increases production efficiency and reduces costs.
Overview of the Smart Factories Module
Materials, equipment, and processes are tracked on a single platform, from procurement to shipment. With real-time data, artificial intelligence, and IoT, your production is under control at all times.
Real-time tracking
Smart tags, barcode/RFID, and IoT enable real-time tracking of material movements, increasing inventory accuracy.
AI-Powered Management
Stock levels and pipeline congestion are predicted; anomalies are detected and automated actions are triggered.
End-to-End Traceability
Complete traceability from initial input to final product; quality processes run smoothly, becoming auditable and reportable.
Database & Reporting
With a centralized data model and fast queries, KPI/SLA reporting for each stage is done from a single dashboard.
Common Core: System Administration
The same hierarchical infrastructure across all modules: Unit & Personnel & Board of Directors & Standard File Plan & Legislation management.
Unit Operations
- Institution/Company • Location/Facility • Building • Department • Fixed Assets
- Customer/Supplier • Inventory • Logistics/Shipping • Quality • Announcement/News/Event
Personnel Management
- Definitions • Appointments • Assignments • Work Information • Salary & Timekeeping • Accountability
Board of Directors
- Decisions • Decision Groups • Implementation • Organization & Representative
SDP & Legislation
- Topics • Correspondence Codes • Guidelines • Legislation/Directives • Articles • Applications
Smart Factory Capabilities Map
Explore the scope by opening the following headings.
IoT and artificial intelligence enable end-to-end monitoring of materials, equipment, and processes in manufacturing facilities; optimizing efficiency, cost, and quality.
- Material traceability, real-time response.
- Central database and reporting
- Competitive advantage and sustainable operation
Smart tags, barcode/RFID, and sensors for motion and status tracking; ensuring inventory accuracy.
Demand/stock forecasting, anomaly detection, automated alerts, and action plans.
- Supply Chain Management • Production Line Optimization • MRP
- Design & R&D • Working in Hazardous Environments • Predictive Maintenance
- Quality Control • Technological Infrastructure • R&D Process
- Cost reduction, productivity increase
- Reduction in error rate and downtime.
- Industry 4.0 compatibility and acceleration of digital transformation.
End-to-End Process Flow
Procurement → Input Receipt → Production → Quality → Warehouse/Stock → Shipment → Maintenance & Reporting
Supply & Input
Supplier integration, material receiving and labeling.
Production Line
Work order/process parameters; real-time performance monitoring with IoT data.
Quality
Station-based controls, SPC (Special Purpose PC) and nonconformity management.
Warehouse & MRP
Automatic inventory updates, MRP recommendations, and location optimization.
Shipping
Packaging, delivery note/invoice flow, transportation traceability.
Maintenance & Forecasting
Presence health, predictive care, and posture reduction.
Reporting
KPI/SLA dashboards: OEE, scrap, cycle time, delivery performance.
Basic Technologies
The components that form the backbone of Industry 4.0.
1) IoT
Sensors, RFID, gateways, and field data collection.
2) AI/ML
Prediction, anomaly detection, optimization algorithms.
3) Big Data
Real-time/batch data, stream processing, and analytics.
4) Autonomous/Robotic
AGV/AMR, robot arms, closed-loop control.
5) CPS
Cyber-physical systems and digital twins.
6) Cloud
Flexible sourcing, redundancy, and secure integration.
7) IIoT Platforms
Device management, data model, API layer.
8) 3D Printing
Rapid prototyping and spare parts manufacturing.
Gallery
Live dashboards, line monitoring, quality displays, and more.
Frequently Asked Questions
It is an autonomous production facility that makes data-driven decisions and is continuously optimized with IoT and artificial intelligence; it is the core of Industry 4.0.
It reduces waste and scrap, lowers downtime through predictive maintenance, and reduces capital ties through inventory and line balancing.
Remote monitoring, autonomous robots, and boundary/work safety sensors de-mannedize risky tasks.