In today’s world, compliance in manufacturing process has become equally important to the Quality of product in Pharmaceutical / Life science industry. The regulatory bodies are continuously updating their guidelines to ensure production of quality product. Industries in turn, are required to follow these guidelines. Industries are cautious and thus, are evolving their manufacturing procedures and practices to achieve compliance. Additional checks, testing and precautions has impacted the cost of production and made it more expensive.
To stay competitive, companies invest in automation when they build out their R&D pipelines and shift their priorities to speed-to-market, since FDA approval expiration dates loom for many companies. Platforms with automation and processes that are tighter, improve yield, product quality and reduce the carbon footprint – in turn saving you money while helping protect the environment! Automation improves productivity and efficiency in factories by removing errors that were once prevalent. RFID (Radio Frequency Identification) technology and bar code scanners are continuously improving and revolutionizing how products are tracked as they pass through different processes, from raw materials to packaging. As a result of this, major clashes between departments, such as those between delivery and manufacturing, have been reduced. Additionally, digitalization of the manual recording process has proved to be a boon to bring control in practices. The increased use of robots in pharma manufacturing can be seen across many facets of processes related to dispensing, kit assembly, sorting and machine tending, and analyses. These automated processes are becoming more widespread and are benefiting the pharmaceutical industry by offering increased flexibility, greater speed, and lower operating costs. Most excitingly, these changes will pave the way for more efficient operations, and development strategies that integrate smoothly with existing manufacturing practices to eliminate major problem areas like human error. Ultimately, bringing a tangible improvement in workplace safety, and offering enhanced production efficiency which may be immediately recognized.
The use of AI comes in picture through the data analysis and data can be generated when the activities are recorded in the digital form. Hence, digitalization of the manufacturing execution is the first step to look forward for AI application in pharma industry. Further, integration of MES to different machines can be done.