OPTIMIZATION OF THE PACKAGING PROCESS ON THE “IBUPROFEN 400 mg” TABLET PRODUCTION LINE

Аннотация

Modern requirements for the quality of medicinal products imply high precision in packaging labeling, especially in mass production.

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Andassova , A., & Tleubayeva , M. (2025). OPTIMIZATION OF THE PACKAGING PROCESS ON THE “IBUPROFEN 400 mg” TABLET PRODUCTION LINE . Евразийский журнал академических исследований, 5(10(MPHAPP), 114. извлечено от https://inlibrary.uz/index.php/ejar/article/view/138247
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Аннотация

Modern requirements for the quality of medicinal products imply high precision in packaging labeling, especially in mass production.


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114

Volume 5, Issue 10: Special Issue
(EJAR)

ISSN: 2181-2020

MPHAPP

THE 6TH INTERNATIONAL SCIENTIFIC AND PRACTICAL
CONFERENCE

MODERN PHARMACEUTICS: ACTUAL

PROBLEMS AND PROSPECTS

TASHKENT, OCTOBER 17, 2025

in-academy.uz

OPTIMIZATION OF THE PACKAGING PROCESS ON THE “IBUPROFEN 400

mg” TABLET PRODUCTION LINE

Andassova A.G.

1

Tleubayeva M.I.

2

Asfendiyarov Kazakh National Medical University, Almaty city, Kazakhstan

e-mail: arukaandasova02@gmail.com

https://doi.org/10.5281/zenodo.17324299

Relevance.

Modern requirements for the quality of medicinal products imply high precision in

packaging labeling, especially in mass production. Labeling is a key element in ensuring the
identification, traceability, and safety of pharmaceuticals. Improving the efficiency of the labeling
process on the production line of "Ibuprofen 400 mg" tablets contributes to reducing the number of
defects and increasing production performance.

Objective of the study:

To determine the optimal parameters of the labeling process on the

packaging line in order to improve the accuracy and stability of information application and reduce
the number of defects during the production of "Ibuprofen 400 mg" tablets.

Materials and methods

: Evaluation of print quality (clarity, durability), assessment of the

speed and stability of the labeling process, and statistical analysis of defect rates and production line
speed before and after optimization.

Results

: The key parameters influencing labeling quality were identified: labeling speed, print

head pressure, and the type of consumables used. After process optimization, the number of defective
packages decreased by 25%. The stability of DataMatrix code reading by control scanners improved.
Equipment changeover time during batch switching was reduced by 15%.

Conclusions:

Optimization of the labeling process significantly improved the stability of the

packaging line and the quality of the final product. It is recommended to implement an automatic
code verification system and further automate labeling quality control processes to enhance overall
production reliability.