Evolution de l’échantillonnage en Industrie Pharmaceutique. Cas Pratique: Échantillonnage Manuel et Automatisé

Abstract

Background : In pharmaceutical company, expertise expenses play a crucial role in management and profitability. These expenses include the costsincurred to assess the quality of products or services offered by the company, an essential process to ensure that required standards are met. How ever, while necessary, these costs can represent a significant financial burden. The focus of this thesis is on how to minimize expertise expenses without compromising product quality. Material sand Methods : To address this issue, a sampling methods were adopted, combining manual and automatic sampling techniques. Theses methods allows testing a representative sample of products rather than each individual unit, thus reducing the resources needed for inspection while maintaining effective quality control. The sampling process includes determining sample size, defining acceptance criteria, selecting a sampling method, conducting inspections, and evaluating results. Normal and reduced sampling plans were used, respectively, for routine control and certain specific conditions to decrease the number of required samples. Results and Discussion : The integration of manual and automatic sampling offers distinct advantages : manual sampling provides increased flexibility and accuracy in specific situations, while automatic sampling ensures optimal efficiency and speed for routine processes. The results obtained show a significant reduction in inspection and non-quality costs due to the rapid identification of quality issues and decreased inspection errors. By focusing on a representative sample, the resources needed for evaluation were significantly reduced while ensuring that products meet required quality standards. Conclusion : The application of diversified sampling method in pharmaceutical companies not only minimizes expertise expenses but also maintains high product quality. This approach, combining manual and automatic sampling, optimizes quality control processes and contributes to improving over all company profitability.