Modelo para optimización de la Coordinación en la Cadena de Suministro Farmacéutica

Abstract

Abstract:This research Curricular Integration Work (TIC) proposes a mathematical model that combines multiple linear regression with mixed integer linear programming (MILP) to improve logistic control in the distribution chain of medical supplies in the Catamayo canton. This research was developed under a quantitative approach, evaluating 21 local pharmacies through structured surveys that identified and measured key variables such as operating costs, storage capacity and customer flow, among others. The results showed that factors such as monthly demand and import-related expenses have a significant impact on logistics costs. In contrast, elements such as transportation and the availability of physical space showed a relatively minor influence. For data processing, statistical analysis and validation of the variables, the Python programming language was used, which made it possible to design strategies aimed at optimizing distribution processes within the pharmaceutical supply chain. The aim of this research is to reduce supply losses due to shortages or expiration of products in order to guarantee the availability of medicines in situations of high demand. Finally, this contribution provides innovative methodological tools that contribute to decision-making within the Ecuadorian pharmaceutical sector.Keywords: supply chain, pharmaceutical distribution, optimization mode.