Análisis envolvente de datos de pronóstico de eficiencia en servicios de alimentos

Abstract

We proposes a form of data envelopment analysis that allows estimating the efficiency of food services with stochastic outputs related to predictive inputs in multiple periods by generalized linear autoregressive moving average (GLARMA) model. This form of work allows forecasting the future behavior of the efficiency frontier of a cluster of companies. An example to the decision makers when they face scenarios like those described.