OPTIMIZATION OF MANUFACTURING EFFICIENCY USING SIMULATION MODELING: PHARMACEUTICAL PRODUCTS DATAMATRIX LABELLING COST MINIMISATION
DOI:
https://doi.org/10.5281/zenodo.17448001Keywords:
discrete event simulation, optimization, pharmaceutical manufacturing, labor optimization, management science.Abstract
Sudden regulatory changes leading to modifcations in manufacturing processes may lead to increased costdue to inefcient decisions. Current study evaluated the use of simulation and optimization tools to support strategic
decision making in pharmaceutical manufacturing sector of Uzbekistan on the example of optimization of the datamatrix
labeling process at Jurabek Laboratories. Outcomes of the simulation model was verifed for consistency with real life
data through expert reviews and distribution-ft tests, whereas optimization models validity was tested through sensitivity
analysis. The result of research led to a set of recommendations on optimized labor quantity, that suggests a reduction in
the number of operators from 8 to 4 for sticking and 4 to 3 for scanning, which can help to keep production at the same
rate while cutting down labor cost by 70 million UZS monthly or by 42%. The fndings provide practical insights that can
contribute to more effective manufacturing practices in the pharmaceutical industry in Uzbekistan through the use of
simulation modeling and optimization techniques.
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