In modern times, the pharma industry has evolved to a great extent. Along with the medicinal evolution, this industry has advanced manufacturing practices and technologies. Today, our traditional manufacturing and business models are challenged due to the advancement in the industrial internet of things (IIoT) and other emerging technologies.
Artificial intelligence (AI), Data Science, Advanced Computing, and Robotics are ruling the world of the pharmaceutical industry. Adopting these new technologies can increase the flexibility, efficiency, quality of the manufacturing process of medicine and reduce waste. From data collection to digitization with the help of these technologies, Industry 4.0 will define the future of the pharma industry.
What is Industry 4.0?
Industry 4.0 is massively changing the dynamics of pharmaceutical manufacturing across the globe. It is automation and digitalization of the business. The revolutionary four stages of manufacturing are responsible for Industry 4.0. It involves the automation and integration of data, people, physical systems, reporting, operation, monitoring, and creation and implementation of computerized manufacturing processes.
Industry 4.0 is the fourth industrial revolution, and it applies evolving technologies like machine learning (ML), artificial intelligence (AI), Industrial internet of things (IIoT), Robotics, and Advanced Computing to maintain autonomous, internal communication in the manufacturing business. This revolution is rapidly changing the modern manufacturing landscape. It enables data transfer between equipment, analyzes the collected data, and creates a better operating environment for making informed decisions.
Industry 4.0 in Pharma Manufacturing
Industry 4.0 has made the integration of intelligent information technologies and novel manufacturing processes possible in the demanding era. As a result, it plays a significant role in the ever-increasing economic competitiveness. However, autonomous manufacturing processes strongly challenge the pharmaceutical industry.
As the pharmaceutical sector is highly regulated, industry 4.0 has to overcome additional barriers. However, this revolution offers high growth opportunities and can improve medicine and quality of life.
Industry 4.0 supports bespoke medicine, augmented manufacturing, localized 3 D printing of treatments, and much more. The cyber-physical system of industry 4.0 in the pharmaceutical sector is an industrial approach that pays attention to all aspects of an industrial operational model like management, manufacturing, culture, interaction with regulators, etc.
Today, the focus of the pharma industry has shifted to mass customization. Industry 4.0 plays a vital role in related trends like holistic control strategies, design data integrity, personalized treatment, and supply chain integration. This cyber-physical system allows the building of smart factories to obtain competitive advantages and redefines the human race’s role in manufacturing.
The path leading to digitization or digital transformation is challenging. However, with the world becoming digitized, industrial 4.0 can help in improving efficiency, better compliance with the data-related regulatory needs, and enhanced quality. For the successful implementation of these modern technologies, choosing the right technology is crucial. In the new era, business needs real data in real-time to meet the ever-increasing demands. Therefore, AI/ML-based data exchange platforms and technologies are best for digitization.
A key to implementing industry 4.0 is digitizing various complex pharmaceutical processes with a layer of cyber security. To create a cohesive network, IoT demands data digitization, which means transforming manually gathered data into digital device-captured data. In the pharmaceutical industry, automated order entry and processing, inventory, sales, and demand visibility need real-time monitoring for improved decision making.
Complete automation of the manufacturing process includes:
- Gathering all process performance data through novel technologies.
- Analysis of the captured data.
- Applying AI/ML-based algorithms to gain crucial insights for enhancing process control.
AI algorithms can be applied to connect pharmaceutical manufacturing with process controls and process performance.
AI and machine learning (AI/ML) approaches help to detect or predict any changes in measured parameters or specifications. Novel technologies, including AI/ML, can be used for any type of adaptive process control. These technologies can predict and learn processes based on historical and real-time data.
Shop Floor Automations
For shop floor supervision, it is crucial to identify the availability of the machine, running or idle status, product quality data, and efficiency in real-time. It helps to meet the actual target for the day. The shop floor automation process helps to accurately understand machine metrics on the shop floor. Consequently, it aids in achieving daily manufacturing goals. With shop floor automation, the data is collected and analyzed by tracking the equipment effectiveness for working in concert with operators, supervisors, and plant managers.
AI and Machine Learning
AI and machine learning (AI/ML) is a novel technology in industry 4.0. These technologies can learn and detect anomalies, deviations, simulation, and prediction. AI/ML technologies are extensive in the pharmaceutical industry, as they can adapt and learn with new information. In addition, AI/ML can run potential simulations in drug manufacturing and gathered data can be further leveraged for design and development by achieving strict regulatory compliance.
Industry 4.0 offers opportunities as well as challenges for the pharmaceutical industry. By exploring all the possibilities, leveraging the power of data and implementing the emerging technologies with correct standards or compliance, the pharma industry can adopt this modern manufacturing arena.