Tierra-Arévalo, JoséAyala-Chauvin, ManuelNacevilla, CarmenDe la Fuente-Morato, Albert2022-06-122022-06-122022https://www.semanticscholar.org/paper/Prevention-of-Failures-in-the-Footwear-Production-Tierra-Ar%C3%A9valo-Ayala-Chauvin/cf5267835d066ce2ceacad5860ab0387ad20d6cchttps://hdl.handle.net/20.500.14809/3050At present, the handcrafted footwear sector is affected by the high competitiveness due to the increasing automation of companies. In this sense, in order to improve its competitiveness, a system was proposed to predict the failures of a production system and to carry out preventive maintenance actions. Samples were taken from 25 productions and 7 activities were established: cutting, stitching, pre fabrication, final preparation, gluing, assembly and finishing. The company produces batches of 90 pairs per day, with a standard time of 274.53 min and a promised productivity of 1.8. A support vector machine model was developed to predict the possible failures of the process taking as a reference the standard time of each stage. Finally, the results allow predicting the faults to optimise the production process by applying Support Vector Machine (SVM).engclosedAccesshttps://creativecommons.org/licenses/by/4.0/article