Bibliographic citations
Osores, A., Diaz, K. (2024). Modelo de mejora en la gestión de aprovisionamiento basado en la metodología Lean Supply Chain Management para una Mipyme del sector farmacéutico de Lima Sur [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/673306
Osores, A., Diaz, K. Modelo de mejora en la gestión de aprovisionamiento basado en la metodología Lean Supply Chain Management para una Mipyme del sector farmacéutico de Lima Sur [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/673306
@misc{renati/416202,
title = "Modelo de mejora en la gestión de aprovisionamiento basado en la metodología Lean Supply Chain Management para una Mipyme del sector farmacéutico de Lima Sur",
author = "Diaz Fonseca, Kaelin Jorge",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
Today, the health situation in Peru has been affected by COVID-19, which represents a challenge for the government. Health spending increased by 4.7% compared to 2019 (Ministry of Production, [Produce], 2017). The pharmaceutical sector faced problems during the first months of the pandemic, such as product shortages, lack of medical personnel, and price increases in public and private establishments (Ministry of Health, [Minsa], 2021). This research focuses on improving inventory management in a small and medium-sized company (MSME) in the pharmaceutical sector in South Lima. To achieve this, an analysis of data, questions and company policies was carried out in 2019, with the aim of proposing the appropriate tool and offering a solution. The structure of the research consists of four chapters. In the first, the theoretical framework will be explained. In the second, the current situation of the company will be diagnosed, identifying the main problems. In the third, possible solutions will be analyzed for the problems identified in chapter 2. In the fourth, the model will be validated in the company using metrics and information related to economic, social, environmental and political aspects, determining the viability of the project. Finally, the contributions and conclusions will be presented.
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