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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

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Rapid development and optimization of tablet manufacturing using statistical tools.

Eutimio Gustavo Fernández¹, Silvia Cordero, Malvina Benítez

¹Inorganic Chemistry Department, Center for Engineering and Chemical Researches, F Street, # 115 be/Ave 5th and Calzada, Havana 10400, Cuba. eutimiocu@yahoo.com

AAPS Pharmscitech

|May 7, 2008

Summary

This study developed a statistical method using crossed experimental design to optimize tablet manufacturing. The approach efficiently determines optimal excipient proportions and tablet hardness for improved drug production.

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Area of Science:

Pharmaceutical Sciences
Chemical Engineering
Materials Science

Background:

Tablet manufacturing requires optimization of drug properties and excipient formulations.
Controlling tablet hardness and excipient ratios is crucial for product quality.

Purpose of the Study:

To develop a statistical methodology for optimizing tablet manufacturing processes.
To apply a crossed experimental design considering drug properties and excipient variations.
To identify optimal excipient proportions and tablet hardness using a desirability function.

Main Methods:

Utilized a crossed experimental design with dried ferrous sulphate as the model drug.
Modeled granule properties based on excipient proportions (binder, filler, disintegrant).
Defined tablet parameters by excipient proportion and hardness; applied desirability function for optimization.

Main Results:

Successfully modeled granule properties as a function of excipient proportions.
Determined optimal excipient proportions and tablet hardness using the desirability function.
Demonstrated the efficiency of crossed experimental design for process optimization.

Conclusions:

Crossed experimental design with hardness as a key variable is an efficient strategy for tablet manufacturing optimization.
The developed statistical methodology can be applied to various tablet manufacturing methods.
This approach facilitates rapid determination of optimal tablet design processes.