💡 Boost Pharma Manufacturing & Supply Chain Performance with IoT Technology Discover how IoT technology is transforming pharmaceutical manufacturing and supply chains by enabling real-time data, predictive analytics, and seamless connectivity. This content covers: ✅ Enhanced production efficiency through automated monitoring ✅ Predictive maintenance reducing costly downtime ✅ Improved supply chain visibility for better inventory management ✅ Integration of IoT with AI for smarter decision-making ✅ Real-world examples from leading pharma companies 🚀 Unlock new levels of operational excellence and compliance with IoT! 🔗 Read the full blog here: https://www.rejigdigital.com/blog/transforming-pharma-operations-how-iot-drives-efficiency-in-maintenance-manufacturing-and-the-supply-chain/

1. HowIoTis
RevolutionizingPharma
Manufacturingand
SupplyChain
Rejig Digital
Transforming the Future of Healthcare through IoT

2. Impact
Real-time monitoring allows for
immediate insights into manufacturing
processes, ensuring quality control.
Predictive maintenance reduces
downtime by anticipating equipment
failures before they occur.
Supply chain optimization enhances
efficiency, ensuring timely delivery of
medications to patients.

3. Real-time monitoring in pharmaceutical operations is a game-
changer. It enables continuous data collection and analysis, ensuring
immediate detection of anomalies and proactive decision-making.
Real-time monitoring reduces
errors and ensures compliance with
regulations.
Minimized Human Error: Automated data capture reduces
manual entry, eliminating transcription mistakes and
oversight.
Regulatory Compliance: Real-time insights support
adherence to stringent regulations (e.g., FDA, EMA) by
ensuring environmental, equipment, and process
parameters remain within required limits.
Instant Alerts & Corrective Action: Deviations are detected
and addressed instantly, preventing non-compliance and
batch rejection.

4. Predictive Maintenance
Timeline
Real-time data
helps in identifying
issues early.
Introduction of
IoT sensors for
equipment
monitoring
2020
Data analytics
streamlines
decision-making
processes for
maintenance.
Implementation
of data
analytics for
maintenance
decisions
2021
Machine learning
enhances
accuracy in
predicting
equipment
failures.
Adoption of
machine
learning to
predict failures
2022
Automated alerts
significantly
reduce downtime
and improve
efficiency.
Integration of
automated
alerts for
maintenance
needs
2023
Predictive
maintenance
becomes a
standard practice
in pharma
manufacturing.
Expansion of
predictive
maintenance
across all
facilities
2024

5. IoT in Pharma Supply Chain
IoT devices provide
instant data on
inventory and
conditions.
Real-time
monitoring
enhances visibility
throughout the
supply chain.
2023
Smart sensors
predict failures,
reducing costly
downtime
significantly.
Predictive
maintenance
supports proactive
equipment
management and
uptime.
2024
Analytics-driven
insights streamline
operations and
reduce resource
waste.
Supply chain
optimization
reduces waste and
improves
efficiency.
2025
Advanced tracking
systems ensure
compliance and
safeguard patient
safety.
Enhanced drug
safety minimizes
risks and ensures
quality control.
2026

6. Key Areas of Impact
Provides instant data on manufacturing
processes, enhancing efficiency and
reducing errors.
REAL-TIME MONITORING
Anticipates equipment failures, minimizing
downtime and saving costs in production.
PREDICTIVE MAINTENANCE
Uses sensor data to anticipate equipment
failures, allowing maintenance before
breakdowns occur, thus reducing downtime
and saving costs.
PREDICTIVE MAINTENANCE:
Real-time insights help maintain consistent
production standards, meeting regulatory
requirements and ensuring product safety.
IMPROVED PRODUCT QUALITY:

7. aEquipment Monitoring (%) Predictive Maintenance (%)
Supply Chain Visibility (%)
2021 2022 2023 2024
0
50
100
150
200
IoT Adoption
Rates
Trends in Pharma Manufacturing Over Time
The chart shows a steady increase in IoT adoption
in pharmaceutical manufacturing. This growth
reflects the industry’s focus on improving
efficiency, safety, and compliance through real-
time data and connected devices.
IoT helps monitor equipment, automate
processes, and reduce errors, leading to cost
savings and higher product quality. As regulations
become stricter, IoT adoption continues to rise,
becoming essential for modern pharma
operations.

8. IoT in Pharma Applications
REAL-TIME MONITORING
Enables instant data collection
for improved decision-making.
SUPPLY CHAIN
Optimizes logistics through
enhanced visibility and
tracking.
PREDICTIVE MAINTENANCE
Reduces downtime by
anticipating equipment failures
effectively.
03
02
01

9. Thank
You!

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