Optimizing Pharmaceutical API Production: The Power of Model-Based Analysis

The drying process is a pivotal stage in producing many Active Pharmaceutical Ingredients (APIs), directly impacting the quality and efficacy of the final product. Historically, pharmaceutical companies have relied on elaborate experimental methods and trial-and-error approaches to determine drying times. Unfortunately, this traditional approach has led to uncertainties, inefficiencies, and increased production costs.

We combine model-based analysis with cutting-edge computational techniques on a time-dependent filter cake liquid content estimation as an example.

In this newsletter, we will shed light on an overlooked approach for conceptual process design that directly incorporates product quality and process robustness for Active Pharmaceutical Ingredients (APIs).?

Advantages of adopting a model-based drying time prediction system

1. Improved Process Performance: With the model-based approach, pharmaceutical manufacturers can significantly enhance the efficiency and robustness of their drying process. By streamlining the prediction of drying times, companies can better plan production schedules, reduce cycle times, and optimize resource utilization, ultimately leading to a more streamlined and productive manufacturing operation.
2. Enhanced Product Quality: Modelling facilitates improved process understanding as it allows low-cost challenging of process limits. In parallel, model-based tools can guide process experts in prioritizing and addressing experimental efforts.
3. Cost Savings: Inaccurate drying time estimations often result in over-drying or under-drying of APIs, leading to unnecessary energy consumption and material waste. The model-based prediction system offers an opportunity to optimize resource usage, reducing production costs and positively impacting the bottom line in the long run.

Conclusion

By eliminating uncertainties and streamlining the prediction of process times, companies can optimize their production schedules, reduce cycle times, and enhance overall resource utilization. This not only translates into cost savings but also empowers companies to respond more effectively to market demands.

At resolvent, we are committed to exploring innovative solutions that continually optimize pharmaceutical manufacturing processes. We understand the significance of such groundbreaking research and actively keep track of developments in this field. We aim to stay at the forefront of technology and provide our valued customers with the most advanced and reliable solutions.

To read the full article, follow this link: https://resolvent.com/model-based-drying-time-prediction-in-pharmaceutical-api-production/

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