Smart Manufacturing in Pharma

Name: Smart Manufacturing in Pharma
Rating: 4.3 (21 reviews)

Comprehensive approach to Smart Manufacturing in the Pharma covering Theoretical Concepts and Practical Applications

Created byJayant Joshi

Last updated 2/2025

English

What you'll learn

Introduction to Smart Manufacturing
Smart manufacturing and its relevance to the Pharmaceutical Industry
Key concepts, Technologies, and Methodologies in Smart Manufacturing
Application of Smart Manufacturing Principles to optimise Pharmaceutical manufacturing processes

Course content

17 sections • 138 lectures • 17h 7m total length

Overview4:02
Introduction to smart manufacturing and its relevance to the pharmaceutical industry
Exploration of key concepts, technologies, and methodologies in smart manufacturing
Application of smart manufacturing principles to optimize pharmaceutical manufacturing processes
Course Design for Smart Manufacturing In Pharma9:43
Global Market Opportunity with Al-Driven Digital Skills Development in Pharma8:52
Taking the First Step for Pharma-Embracing Smart Manufacturing6:30
What is Smart Manufacturing and Why it Matters to Manufacturers for Pharma?5:19
Explore smart manufacturing for pharma, where AI, IoT, big data analytics, and robotics enable real-time data insights, predictive maintenance, and automated quality control to boost efficiency, compliance, and patient safety.

Introduction to Pharma 4.0 and its implications for pharmaceutical manufacturing4:23
Introduction to Industry 4.0 and its implications for pharmaceutical manufacturing
Overview of smart manufacturing technologies (IoT, AI, machine learning, robotics, etc.)
Understanding the digital thread and its role in smart manufacturing
Case studies showcasing successful implementations of smart manufacturing in pharmaceuticals
Smart Manufacturing Principles for Pharma6:23
Manufacturing Excellence5:13
Manufacturing Strategy4:40
Explore how manufacturing strategy integrates emerging technologies—from cloud and AI to IIoT—into digital supply chain management to deliver the right product, quality, and price.
Pharmaceutical Manufacturing Challenges6:40
Explore how pharma manufacturing addresses data-intensive challenges from master data to batch records, enabling real-time process monitoring, quality control, and profitability with IIoT and analytics.
Smart Factory Operations Simulation6:55
Explore smart factory operations and smart manufacturing design to optimize resources, boost quality, and improve machine utilization through integrated planning, real-time data, SCADA, and IoT-enabled processes.
Smart Manufacturing Accelaration Framework6:50
Technology Skills Smart Manufacturing7:44
Leverage real-time data from sensors and IoT to drive decision making in smart manufacturing, integrating cloud analytics, AI, big data, and IT–OT convergence for improved productivity and profitability.
IT and OT Integration for Industry 4.06:12
Emerging Technologies for Pharma8:23
KPI Pharma Smart Manufacturing8:20
Lean Principles & Smart Manufacturing Synergy in Pharma-A Powerful Combination7:51
Smart Manufacturing Intangible Benefits in Supply Chain8:22
Emerging Technologies in Digital Supply Chain Management for Pharma Companies13:54
Fundamentals of Smart Manufacturing

Regulatory requirements & standards applicable to smart manufacturing in Pharma3:44
Overview of regulatory requirements and standards applicable to smart manufacturing in pharma (e.g., FDA's Quality Metrics Reporting, GMP guidelines)
Understanding the impact of smart manufacturing on regulatory compliance
Strategies for integrating regulatory compliance into smart manufacturing processes
Digitize Product Documentation for Pharma6:44
Digitize pharma product documentation to improve accessibility, accuracy, and compliance; plan a digitization strategy, inventory, and priorities, then implement a secure content management system with version control.
Implementing Electronic Batch Manufacturing Records (EBMRs)6:49
Digitalization Contributes to Pharma Electronic Batch Manufacturing Records6:26
Regulatory Requirements Pharma 4.04:56
Compliance and Regulatory Challenges in Pharma8:59
Learn how pharma firms safeguard patient safety through data integrity, GMP, and end-to-end compliance, covering serialization, global regulations, and digital systems for quality assurance and supply chain integrity.
Key Components of a Successful S & OP Process in the Pharma Industry11:08

Data Analytics techniques for smart manufacturing3:44
Introduction to data analytics techniques for smart manufacturing (descriptive, predictive, prescriptive analytics)
Utilising big data in pharmaceutical manufacturing: challenges and opportunities
Hands-on exercises using data analytics tools to analyse manufacturing data and optimise processes
Advanced Analytics for Quality Control9:31
Data Analytics and Predictive Modelling1:31
Apply data analytics and predictive modeling to optimize pharmaceutical manufacturing and quality. Leverage data collection and integration, descriptive analytics, machine learning, and predictive maintenance for optimization and decision support.
Digitize and Validate Pharma Manufacturing Process3:50
Big Data in Supply Chain Management5:35
Demand Forecasting6:29
Identify demand drivers and apply forecasting models to project pharma demand from monthly to weekly, enabling a digital supply chain and timely, cost-effective delivery.

IoT devices and sensors used in pharmaceutical manufacturing3:26
Overview of IoT devices and sensors used in pharmaceutical manufacturing
Implementing IoT-enabled solutions for real-time monitoring and control of manufacturing processes
Practical exercises involving IoT devices and data integration platforms
Impact of loT on Value Chain9:00
Internet of Things in Transportation6:56
loT Applications Pharma 4.07:03
Condition Monitoring of Critical Assets6:37
Energy Management and Sustainability.mp43:40
Predictive Analytics and Decision Support.mp44:27
Process Automation and Optimization.mp43:57
Quality Assurance and Compliance.mp48:03
Remote Monitoring of Equipment - IloT.mp46:14
Supply Chain Visibility and Tracking.mp 47:03
Getting a Direct View of Pharma Production Data with IIoT7:30
Tap into industrial internet of things for a direct view of pharma production data with real-time insights from sensors, edge computing, and AI-powered analytics to boost efficiency, quality, and uptime.
Smart Manufacturing for AP Workflow Process with Sensors (IIoT)7:21
Smart Manufacturing for Injection Workflow Process with Sensors (IIoT)7:29
Smart Manufacturing for Ointment Workflow Process with (IIoT) Sensors7:29
Smart Manufacturing for Tablet Workflow Process with (IloT) Sensors7:35
How does of Al, IloT enhance plant performance, productivity, profitability4:42
Integration of AI and IIOT in Smart Manufacturing7:57
Explore how AI and industrial internet of things integrate to boost smart manufacturing with real-time data analytics, predictive maintenance, and quality control. Boost efficiency and shorten downtime.
Enhancing Plant Performance, Productivity, and Profitability Through AI & IIoT9:39

AI & Machine learning algorithms for process optimisation & predictive analytics2:49
Introduction to AI and machine learning algorithms for process optimisation and predictive analytics
Applications of AI in pharmaceutical manufacturing (e.g., drug discovery, quality control, supply chain optimisation)
Hands-on workshops using AI tools and platforms for smart manufacturing applications
Adoption of Al in Pharma Supply Chain19:06
Artificial Intelligence (AI) and Machine Learning (ML)5:40
AI Vision with Smart Manufacturing is Setting New Pharma Industry Standards8:25
Challenges How to Integrate Al with Digital Supply Chain, When and Where7:51
Integrate artificial intelligence with the digital supply chain in pharma, addressing data quality, change management, security, and integration complexity; apply AI to demand forecasting, inventory, quality control, and supplier management.
Role of AI In Pharma GXP Manufacturing4:12
Implementation of Al in Pharma Manufacturing Processes8:06
Al is revolutionizing IT modernization in Pharma Digital Supply Chain Management4:30
How can Al enhance end-to-end Visibility in Pharma Digital Supply Chain3:57
Al for IT Modernization in Pharma Digital Supply Chain Management8:39
Artificial intelligence and IT modernization accelerate the pharma digital supply chain, improving demand forecasting, inventory management, and proactive risk management while reducing costs and enhancing patient outcomes.
Long-term Cost Savings from Al Integration in Pharmaceutical Supply Chains7:17
Explore how artificial intelligence integration reduces holding costs, transportation costs, and waste, while boosting forecast accuracy, drug shortages mitigation, drug availability, and operational efficiency through data-driven insights and real-time monitoring.
Strategies for Ensuring Al Scalability in Pharma Digital Supply Chain13:04
Challenges in Integrating Al into Pharmaceutical Digital Supply Chain Management12:30
Enhancing End-to-End Visibility in Pharma Digital Supply Chain with AI10:26
AI-Driven Quality Control and Assurance in Pharma13:27
Ethical Use of AI in Pharma Supply Chain8:20
Advance patient safety by applying AI in pharma supply chains with transparent data use, regulatory compliance, and robust privacy, bias mitigation, and continuous monitoring for trustworthy decisions.

What every Pharma CEO should know about Generative AI11:41
Implementing Generative Al in Pharma Supply Chain Strategy21:38
Real-World Applications of Generative Al in Pharma Supply Chain14:12
Balancing the Costs and Opportunities of GenAI Adoption in Pharma13:26
Simulating Supply Chain Scenarios with Al18:35
The Future of Al in Pharma Supply Chain Management12:37
Gen AI ROI in Pharma18:10
Strategies for Successful Al Implementation in Pharma14:47
Develop a comprehensive AI strategy for pharma and build robust infrastructure. Prioritize data quality and governance, cloud-enabled interoperability, and cross-department collaboration with talent and partnerships, addressing ethics and regulation.

Robotics and automation technologies in pharmaceutical production2:50
Overview of robotics and automation technologies in pharmaceutical production
Implementing robotic process automation (RPA) for repetitive tasks and labor-intensive processes
Case studies showcasing the role of robotics in enhancing efficiency and safety in pharma manufacturing
AI, Robotics, and Technology in Pharma Digital Supply Chain5:39

Requirements

Typically, a basic understanding of engineering, computer science, or a related field is helpful. A fundamental understanding of pharma manufacturing processes and systems can be helpful. This includes knowledge of concepts such as production planning, supply chain management, quality control, and operations management. Familiarity with digital manufacturing concepts such as digital twin, cyber-physical systems, and cloud computing in manufacturing contexts can be advantageous.

Description

The pharmaceutical industry is undergoing a transformation driven by advancements in technology and data analytics. Smart Manufacturing, also known as Pharma 4.0, is revolutionising the way pharmaceutical products are developed, manufactured, and distributed. This course provides an in-depth exploration of Smart Manufacturing principles and technologies as applied in the pharmaceutical sector. Participants will gain a comprehensive understanding of how digitalization, automation, and data-driven decision-making are reshaping pharmaceutical manufacturing processes to enhance efficiency, quality, and compliance.

Course Objectives:

Understand the fundamentals of Smart Manufacturing and its application in the pharmaceutical industry.
Explore the regulatory landscape and compliance requirements specific to pharmaceutical manufacturing.
Learn about emerging technologies such as IoT, big data analytics, artificial intelligence, and machine learning, and their role in Pharma 4.0.
Gain insights into advanced manufacturing techniques, including continuous manufacturing, and real-time monitoring.
Develop skills in data integration, process optimisation, and predictive maintenance to improve manufacturing operations.

Target Audience: This course is designed for professionals working in the pharmaceutical industry, including manufacturing managers, process engineers, quality assurance specialists, regulatory affairs professionals, and IT professionals. It is also suitable for researchers, academics, and students interested in understanding the intersection of technology and pharmaceutical manufacturing.

Prerequisites: Participants should have a basic understanding of pharmaceutical manufacturing processes and regulatory requirements. Familiarity with concepts in engineering, data analytics, or IT is beneficial but not required.

Who this course is for:

A Smart Manufacturing course is typically designed for individuals who are interested in advancing their knowledge and skills in the field of manufacturing with a focus on integrating modern technologies and data-driven approaches to improve efficiency, productivity, and quality in manufacturing processes. Here are some specific groups of individuals who might benefit from taking a Smart Manufacturing course: Entrepreneurs and Business Leaders, Manufacturing Professionals, Information Technology (IT) Professionals, Researchers and Academics, Engineers and Students

Smart Manufacturing in Pharma

What you'll learn

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Course content

Course Overview5 lectures • 34min

Fundamentals of Smart Manufacturing14 lectures • 1hr 42min

Regulatory Landscape and Compliance7 lectures • 49min

Data Analytics and Predictive Modeling6 lectures • 31min

Digital Twin Technology2 lectures • 9min

Internet of Things (IoT) in Pharma Manufacturing19 lectures • 2hr 6min

Artificial Intelligence and Machine Learning16 lectures • 2hr 18min

Generative Al in Pharma8 lectures • 2hr 5min

Robotics and Automation2 lectures • 8min

Cybersecurity and Data Privacy1 lecture • 3min

Requirements

Description

Who this course is for: