AMIKONG EXCESS CONTROL SYSTEM PARTS
Specializing In:Automation Spares(DCS, PLC, CNC) Servo Drives HMI Power supplies Controllers
-
Please try to be as accurate as possible with your search.
-
We can quote you on 1000s of specialist parts, even if they are not listed on our website.
-
We can't find any results for “”.
SEE PRODUCTS IN SEARCH PAGE ()
Digital Transformation in Pharma: Schneider Electric’s AI & Digital Twin Solutions Drive Smart
Schneider Electric, a global leader in industrial automation and digital transformation, recently participated in the 2025 PIIF Pharmaceutical Intelligent Innovation Forum. Hosted by the Modern Industrial College of Traditional Chinese Medicine at Tianjin University of Traditional Chinese Medicine, the forum explored cutting-edge topics such as AI-driven drug development, green manufacturing processes, and smart factory solutions.
During the event, Liu Wen, Head of the Process Industry Competency Center at Schneider Electric’s Industrial Automation Business Unit, shared insights on digital twin technology and data-driven solutions that enhance efficiency across the pharmaceutical manufacturing lifecycle.
The Digital Revolution in Pharma: Challenges & Opportunities
The rapid evolution of AI, IoT, and big data analytics is reshaping the pharmaceutical industry. While digitalization significantly reduces drug development cycles and improves production efficiency, it also demands higher data governance, resource optimization, and compliance capabilities from pharma companies.
To address these challenges, Schneider Electric has developed a comprehensive 7-step digital transformation framework, covering:
Digital Transformation Consulting
Integrated Design & Engineering
Asset Information Management (AIM)
Operations Information Management (PI System)
Smart Facility Solutions
Efficient Production Operations
Unified Operations Center (UOC)
This end-to-end approach ensures seamless digital integration from CAPEX (capital expenditure) to OPEX (operational expenditure) phases.
Data-Driven Pharma: Digital Twin & Industrial AI Solutions
In his keynote speech, "Digital Twin & Data Foundation for Efficient Pharma Plant Operations," Liu Wen highlighted Schneider Electric’s dual-data foundation strategy, combining:
A. Static Data Foundation: Asset Information Management (AIM)
Supports digital project delivery with 3D modeling, P&ID integration, and smart asset tracking.
Enables real-time safety monitoring (personnel tracking, emergency response planning).
Ensures seamless handover from construction to operations with as-built digital documentation.
B. Dynamic Data Foundation: PI System (Operations Information Management)
Real-time process monitoring & batch analytics (e.g., chromatography, bioreactor performance).
AI-driven predictive maintenance for critical equipment (pumps, agitators, CIP/SIP systems).
Energy optimization & sustainability tracking.
Golden Batch analysis to identify optimal production parameters.
Success Story: AI-Powered Batch Optimization in Biopharma
A leading biopharmaceutical company implemented Schneider Electric’s PI System to enhance batch process control:
PI AF (Asset Framework) enabled batch traceability & Golden Batch benchmarking.
PI EF (Event Frames) automated data collection from chromatography, buffer preparation, and purification steps.
PI Vision dashboards provided real-time comparisons of dissolved oxygen (DO) levels and purification efficiency across multiple batches.
Predictive analytics reduced unplanned downtime by monitoring equipment health (pump cycles, vessel CIP/SIP events).
The Future of Pharma 4.0: AI, IoT & Sustainable Manufacturing
As Industry 4.0 technologies converge with pharmaceutical manufacturing, Schneider Electric continues to innovate with:
AI/ML-driven process optimization
Digital twin simulations for facility design & operational training
Energy-efficient & carbon-neutral production strategies
By integrating smart automation, real-time analytics, and predictive intelligence, Schneider Electric empowers pharma companies to achieve operational excellence, regulatory compliance, and sustainable growth.
Conclusion
The pharmaceutical industry’s future lies in intelligent, data-driven manufacturing. Schneider Electric’s end-to-end digital solutions—from digital twins to AI-powered batch control—are accelerating the sector’s transition to Pharma 4.0.
For pharma enterprises seeking higher efficiency, agility, and compliance, embracing smart digital transformation is no longer optional—it’s a strategic imperative.
Post in:
Keep your system in play!
Newsroom
Related articles Browse All
-
amikong NewsSchneider Electric HMIGTO5310: A Powerful Touchscreen Panel for Industrial Automation2025-08-11 16:24:25Overview of the Schneider Electric HMIGTO5310 The Schneider Electric HMIGTO5310 is a high-performance Magelis GTO touchscreen panel designed for industrial automation and infrastructure applications. With a 10.4" TFT LCD display and 640 x 480 VGA resolution, this HMI delivers crisp, clear visu... -
BlogImplementing Vision Systems for Industrial Robots: Enhancing Precision and Automation2025-08-12 11:26:54Industrial robots gain powerful new abilities through vision systems. These systems give robots the sense of sight, so they can understand and react to what is around them. So, robots can perform complex tasks with greater accuracy and flexibility. Automation in manufacturing reaches a new level of ... -
BlogOptimizing PM Schedules Data-Driven Approaches to Preventative Maintenance2025-08-21 18:08:33Moving away from fixed maintenance schedules is a significant operational shift. Companies now use data to guide their maintenance efforts. This change leads to greater efficiency and equipment reliability. The goal is to perform the right task at the right time, based on real information, not just ...
- Q&A
- Policies How to order Part status information Shipping Method Return Policy Warranty Policy Payment Terms
- Asset Recovery
- We Buy Your Equipment. Industry Cases Amikong News Technical Resources
- ADDRESS
-
32D UNITS,GUOMAO BUILDING,NO 388 HUBIN SOUTH ROAD,SIMING DISTRICT,XIAMEN
Leave Your Comment