Pharmaceutical manufacturers generate massive amounts of operational data every day, yet much of it remains trapped in disconnected systems. As production environments become more complex, operational visibility is becoming just as important as automation.
Operational visibility is one of the new approaches that can connect all these sources of data and allow manufacturers to make decisions based on it without changing their current infrastructure.
Why Isolated Data Brings Problems
The standard pharmaceutical manufacturing facility collects data from several sources:
Manufacturing Execution System (MES)
ERP
Laboratory Information Management System (LIMS)
Quality Management System (QMS)
Environmental monitoring system
Inventory systems
Equipment and industrial sensors
All of these systems produce valuable information, but if this data is not integrated, then manufacturers should use manual reporting and inefficient workflows for tracking of processes.
What is Operational Visibility?
The idea here is not about getting additional data but to turn the available operational information into insights useful for decision-making.
How AI & IIoT Can Help
AI and IIoT make it easier for manufacturers to work with operational data.
Industrial sensors constantly collect data from manufacturing equipment, while AI finds patterns, notices abnormalities and potential improvements.
Some examples of use cases are:
Equipment utilization tracking
Inventory tracking
Workforce management improvement
Production bottlenecks detection
Batch traceability
Environmental monitoring
All of these capabilities allow for making proactive decisions rather than reacting to problems after they occurred.
Benefits of Connected Manufacturing
If the operational data becomes connected, manufacturers will be able to make improvements in different spheres of their business.
Better Asset Management
Real-time visibility of asset availability reduces the risks of unplanned downtime.
Better Inventory Management
Monitoring of raw materials, APIs, packaging materials and finished goods allows for better accuracy of operations.
Workforce Management Improvement
Knowledge about the location and authorized access of the workforce improves collaboration in regulated environments.
Improved Production Processes
Tracking of production process allows to detect bottlenecks in production process planning.
End-to-End Traceability
Linking equipment, people, material, and manufacturing processes increases operational documentation and helps ensure compliance and quality initiatives.
Expanding Current Solutions
Digital transformation does not always mean getting rid of the technological solutions already in place.
Manufacturers are combining current systems with technologies like:
RFID
Bluetooth Low Energy (BLE)
IoT sensors
AI analytics
Enterprise software integration
This means companies can increase their operational visibility while making use of their current MES, ERP, LIMS, and QMS systems.
What Comes Next
With the evolving nature of pharmaceutical manufacturing, operational visibility will be one of the capabilities essential to increasing efficiency, compliance, and resilience.
Combining operational data through manufacturing processes is beneficial to decision-making, collaboration, and operational visibility.
Learn more about connecting your pharmaceutical manufacturing through operational intelligence provided by PharmaFlux AI at: [https://pharmafluxai.com/]
Discussion
What is your organization doing to increase operational visibility through pharmaceutical manufacturing? Do you already have AI and IIoT in your digital transformation solution set, or are you still looking into connected manufacturing solutions? Share your thoughts in the comments below.
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