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Slideshare01
1. 5 Exciting AI Applications in
Manufacturing Process of
Pharma Company for Higher
Productivity and Efficiency.
PRESENTED BY TYRONE SYSTEMS
2. AI in manufacturing processes
improves quality control. Smart AI
solutions monitor the productivity of
machinery. AI-based tools detect
defects of products on the production
line.
Quality Checks
3. It is the second most reason
behind the increased demand for
AI in manufacturing. Manufacturing
companies are deploying AI t get
information of equipment
damages for ensuring excellent
performance.
Predicts Equipment Failure
4. Predictive maintenance of devices allows the
manufacturer to cut device maintenance costs.
Using ML-powered predictive solutions, AI tools
for manufacturing predict when machinery
require maintenance services.
Equipment Predictive
Maintenance
5. Digital twin visualizes the infrastructure,
products, or services. It pairs up virtual
and physical attributes for analyzing vast
data collected by sensors or cameras.
The ultimate goal of the digital twin is to
design and test equipment virtually.
Digital Twins
6. AI has multiple applications in supply chain
management such as establishes a strong
communication channel among
departments, warehouse management &
logistics, and development of autonomous
vehicles for logistics.
Supply-Chain Management