Integración del modelo de Regresión Logística Binaria en la metodología Seis Sigma para la reducción de variabilidad en la elaboración de Estibas. Empresa Inducargo.

Abstract

The interest of organizations in improving the quality of products tends to adopt methodologies that contribute to the strengthening of their processes, the good use of their resources and the satisfaction of demand. The Six Sigma methodology offers the possibility of finding that level of quality in the desired products and services through its DMAIC improvement phases (Define, Measure, Analyze, Implement and Control). In the work that will be developed below, the application of the six sigma methodology is proposed for the production process of a company dedicated to the manufacture of wooden pallets. Initially, a diagnosis was made of the conditions in which the Inducargo company is found and of the process in question. After this, a time study was carried out to identify the root problem of where the defective units that are generating problems in the organization are being generated, identified as the study variables for the project. According to the information obtained, the six sigma metholodogy was applied to identify the level of dispersión within the analyzed variables and the necessary improvement was established for the adaptation of the organization’s productive system. Once the methodology was established, its benefit within the organization was evaluated. In this way, this research aims to develop an integration model between the Logistic Regression method and the Six Sigma methodology to detect the probability of occurrence of a dichotomous state (with defect or without defect) due to related variables in the process of manufacture of pallets, which generates variability in the process and that in some way leads to customer dissatisfaction.