Manuel Iván Rodríguez Borbón

TL;DR: This work proposes a method to assess the performance of LM applications in the manufacturing industry using the hesitant fuzzy set and TOPSIS to deal with criteria and attitudes from decision makers regarding such LM applications.

TL;DR: A reliability model is presented, which describes the lifetime of electronic devices under time-varying voltage via a parametric function based on the Cumulative Damage Model with random failure rate and the modified Inverse Power Law.

TL;DR: A gamma process is considered in this study to marginally model the degradation of a performance characteristic through two degradation test phases performed sequentially, and a robust model is obtained to get reliability estimates considering the effect of two serial degradation test, which can consider multiple covariates.

TL;DR: The results show that the proposed instrument holds enough statistical validity to be used by the companies in the sector in order to assess the impact of critical success factors on the development of improvement projects.

TL;DR: In this paper, a hybrid of artificial neural networks and artificial bee colony algorithm is used to optimize the process parameters in injection molding with the aim of minimizing the warpage of plastic products.