Análisis de sensibilidad para la toma de decisiones en el contexto de la producción

Abstract

This business case is the product of a multidisciplinary process in which mathematical modeling with real information is achieved, that allowed generating alternatives and sensitivity analysis for decision making in production companies, binding the closing of gaps that impact productivity goals. The case includes an analysis of information through the grounded theory of ten companies that make up a textile cluster and interviews with managers in operations to obtain the information required in the linear programming model, which executes the measurement of the effect on productivity of the cluster. The identification of the categories: forecasts, aggregate planning, learning curves, programming of material requirements, inventory systems and the deployment of the quality function, structured in a linear programming model, allows the analysis of productivity goals for optimization in productive scenarios. The main contributions of this business case are based on its methodological contribution, having a mixed approach, and in the decision-making process in dynamic scenarios that achieve a holistic and integrative approach to the most representative components of the model created to increase the productivity of the cluster.