Pharmaceutical Manufacturing: Trends and Technologies

Pharmaceutical manufacturing laboratories are frequently under pressure to improve efficiency, increase profitability, and keep up with evolving demands such as personalised medicine. Automation technologies can be implemented as part of a lab’s strategy for growth.

Current Challenges in Pharmaceutical Manufacturing

There are many pitfalls that pharmaceutical companies can face when manufacturing products. For example, high development cost and complex manufacturing processes. This is especially the case when it comes to biologics and personalised medicine, where a lab may need to be set up for customisable production lines and formulations. Instead of traditional manual processes, this is where automation can come in to improve efficiency.

The Role of Automation

One of the key trends in pharmaceutical manufacturing is automation. When pharmaceutical manufacturers are able to automate some of their key processes, it’s possible to increased:

Increased throughput - for example, handling a higher volume of samples than with manual methods

Increased accuracy - automated systems can reduce the amount of human error and potential increase the accuracy of results for research and manufacturing

Automated data management - automation can make it easier to collect, store and analyse data. The more data a pharmaceutical company has, the more potential it has for data-driven decision making, which can in turn improve efficiency.

Astech: Your Partner in Pharmaceutical Manufacturing Automation

At Astech, we understand the unique challenges of pharmaceutical manufacturing. We’ve worked on many automation projects in this sector to address specific pharmaceutical needs and improve efficiency with automation, so we can help you to refine your processes. Our Lab Expert system is a customisable platform that can help you with a wide range of lab processes, whether it’s sample prep or high-throughput screening. Learn more about how Lab Expert could improve your workflow, data quality, and speed up your time-to-market.