The document discusses digital factories, which use virtual connections to overcome communication barriers and complexities in manufacturing. A digital factory uses sensors, software, and machinery to drive efficient business processes. It connects manufacturing workers with the right information. Key components of a digital factory include additive manufacturing, robots, autonomous robots for warehouses, sensors for inventory tracking and quality control, and augmented reality for maintenance. Hardware for a digital factory includes robots, AGVs, conveyors, storage bins, and 3D printers. Sensors used include proximity, product tracking, vibrational, thermal, and QR scanners.
2. What is Digital
Factory?
• Driving efficient business processes, by
virtually connecting manufacturing people
with the right information, in the factory
context, overcoming geographical
distances, communication barriers, and
complexities
3. The Digital Factory: Why Now?
Bridge the gap b/w
Academics - Industry
Realistic experience over
Virtual Environment
Holistic approach to track
requirements & control of
Mfg workflows
Explore the new ideas in
addressing industrial challenges
8. Hardware for Digital factory
• Robots & Fencing,
• Cobot,
• AGV’s,
• Conveyors,
• Storage Bins,
• Tables & Chairs,
• Pick to light,
• Inspection devices,
• 3D Printer,
• Jigs and Fixtures,
• Tools & ATC
• Computers & its accessories
9. Sensors for Digital factory
• Proximity
• Product Tracking
• Vibrational
• Thermal
• QR Scanner
Editor's Notes
Manufacturing operations
Additive manufacturing to produce rapid prototypes or low-volume spare parts
Advanced planning and scheduling using real-time production and inventory data to minimize waste and cycle time
Cognitive bots and autonomous robots to effectively execute routine processes at minimal cost with high accuracy
Digital twin to digitize an operation and move beyond automation and integration to predictive analyses
Warehouse operations
Augmented reality to assist personnel with pick-and-place tasks
Autonomous robots to execute warehouse operations
Inventory tracking
Sensors to track real-time movements and locations of raw materials, work-in-progress and finished goods, and high-value tooling
Analytics to optimize inventory on hand and automatically signal for replenishment
Quality
In-line quality testing using optical-based analytics
Real-time equipment monitoring to predict potential quality issues
Maintenance
Augmented reality to assist maintenance personnel in maintaining and repairing equipment
Sensors on equipment to drive predictive and cognitive maintenance analytics