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By,
Somashekar S M
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
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
Hardware Machinery
Sensors
Software
What Drives Digital Factory?
The Digital factory showcase
1. Design 2. Planning 3. Engineering 4. Production 5. Service
1 2
3
4
5
Manufacturing operations
•Additive manufacturing
•Cobots and Robots
Warehouse operations
•Autonomous robots
Inventory tracking
•Sensors
•Analytics
Quality
•In-line quality testing using optical-based analytics
•Real-time equipment monitoring to predict potential quality issues
Maintenance
•Augmented reality
•Sensors on equipment to drive predictive and cognitive maintenance analytics
Processes within a Digital factory
Machinery for Digital factory
• Conventional: Lathe, Milling, Drilling, Grinding, Shaping
• Non- Conventional : NC, CNC- CNC Lathe, CNC Laser cutting
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
Sensors for Digital factory
• Proximity
• Product Tracking
• Vibrational
• Thermal
• QR Scanner

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Digital Factory setup

  • 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
  • 5. The Digital factory showcase 1. Design 2. Planning 3. Engineering 4. Production 5. Service 1 2 3 4 5
  • 6. Manufacturing operations •Additive manufacturing •Cobots and Robots Warehouse operations •Autonomous robots Inventory tracking •Sensors •Analytics Quality •In-line quality testing using optical-based analytics •Real-time equipment monitoring to predict potential quality issues Maintenance •Augmented reality •Sensors on equipment to drive predictive and cognitive maintenance analytics Processes within a Digital factory
  • 7. Machinery for Digital factory • Conventional: Lathe, Milling, Drilling, Grinding, Shaping • Non- Conventional : NC, CNC- CNC Lathe, CNC Laser cutting
  • 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

  1. 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