Optimizing the Drug Manufacturing Process Through Digital Transformation
Improving drug manufacturing processes with computer modeling and simulation accelerates healthcare innovations.
Digital Transformation of the Drug Manufacturing Process
To meet the world’s evolving healthcare needs, pharmaceutical companies must accelerate their drug manufacturing process. However, traditional production processes leave room for improvement. As such, patients wait too long for badly needed care, and companies lose revenue.
Drug developers can optimize equipment design, ramp up production efficiently, and secure an edge over competitors using computer modeling and simulation (CM&S) tools early in development.
In this e-book, you’ll find out how digital transformation techniques can:
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Shift from physical trial-and-error methods to efficient digital prototyping
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Scale up production while keeping costs down and quality high
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Innovate sustainable products and processes with fewer prototypes and less packaging waste
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Case Studies and Articles
Computer Modeling and Simulation Amplify Sustainability Efforts in the Pharmaceutical Industry
Drug manufacturing companies with inefficient proceses could fall short of their sustainability goals, risking damage to their reputation and the loss of market share. CM&S enable pharmaceutical companies to transform drug manufacturing from production to packaging.
In this e-book you’ll learn how drug manufacturers can:
- Make packaging greener by reducing the quantity of platic or selecting greener packaging materials.
- Increase efficiency and reduce waste at every stage of the drug manufacturing process.
- Leverage advanced technologies, including digital twins.
Simulating the Upstream Drug Manufacturing Process
The traditional method of conducting multiple rounds of physical testing to fine-tune equipment designs and production processes is commonplace in the drug manufacturing industry. While this works, it leaves much room for crucial improvement and optimization. Computer modeling and simulation (CM&S) offer drug manufacturers a far more efficient, sustainable approach.
In this e-book you will learn how CM&S can:
- Transform the scaleup (or scale down) of upstream production processes.
- Enable engineers to rapidly identify optimal mixing tank and bioreactor designs.
- Reduce time, costs and waste.
Optimizing Downstream Drug Production With Computer Modeling and Simulation
Drug manufacturers often rely heavily on trial and error to define process sequence and scope and to design production equipment. Such an approach is expensive and lengthy, requiring a significant commitment of resources and generating additional waste with each new iteration. In silico methods, however, deliver the understanding drug manufacturers need to scale up (or down) and execute downstream drug production.
In this e-book you will learn how CM&S can:
- Reduce waste, high costs, and delays.
- Maintain high levels of product quality and productivity.
- Improve decision-making.
Computational Modeling and Simulation in Drug Manufacturing
Drug companies are under enormous pressure to streamline the approval process, accelerate production scaling, and make every phase of manufacturing more time- and cost-effective while reducing their environmental footprint.
However, the industry’s traditional approaches to drug production could be improved to meet these goals more readily. As a result, drug company executives are exploring computational modeling and simulation (CM&S), also known as in silico methods, to facilitate these improvements, discovering numerous benefits and advantages.
In this white paper, you will learn:
- The challenges of bringing new drugs to market.
- How integrated modeling and simulation can transform drug production efficiency.
- Recommendations to improve processes.
