Fontalvo Herrera, Tomás JoséDe la Hoz Domínguez, Enrique JoséFontalvo-Echavez, Orianna2022-01-282022-01-282021-06-112022-01-28Fontalvo-Herrera, T.J., Delahoz-Dominguez, E. and Fontalvo-Echavez, O. (2021) ‘Assessing and forecasting method of financial efficiency in a free industrial economic zone’, Int. J. Productivity and Quality Management, Vol. 33, No. 2, pp.253–270.https://hdl.handle.net/20.500.12585/10424: Industrial free zones are key to the economic progress of developing countries, making the evaluation and forecast of efficiency in these organisations relevant. This research proposes a three-phase method to evaluate and forecast the financial efficiency of the business profiles of companies belonging to the free economic zone of Cartagena – Colombia. The first phase consisted of a cluster analysis to determine representative groups among the companies analysed. In the second phase, financial efficiency is measured for each of the clusters found in phase 1. Finally, in phase 3 a machine learning model is trained and validated to predict the belonging of a company to a category of financial efficiency – cluster. The results show the creation of two business clusters, with an average efficiency of 49.8% and 14.6% respectively. The random forest model has an accuracy of 95% in the validation phase.18 Páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/articlehttps://dx.doi.org/10.1504/IJPQM.2021.115694Data envelope analysisDEAClusteringMachine learningRandom forestEfficiencyinfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarLEMB