Pedro Riesgo Fernández

Determination and study of lead times of metallic components in the aerospace industry through a Cox-type hazard model

The aim of this paper is the analysis of the factors that have influence on the lead time of batches of metallic components of aerospace engines. The approach used in this article employs Cox-type hazard models, which are a well-recognized statistical technique for exploring the relationship between a time variable, in this case the lead time, usually called survival variable, and several explanatory variables (covariates). A model that estimates the lead time of different components has been developed using some sample batches, and its validity is checked with a different sample of similar components.

A Hybrid Algorithm for the Assessment of the Influence of Risk Factors in the Development of Upper Limb Musculoskeletal Disorders

A hybrid model based on genetic algorithms, classification trees and multivariate adaptive regression splines is applied to identify the risk factors that have the strongest influence on the development of an upper limb musculoskeletal disorder using the data of the Spanish Seventh National Survey on Working Conditions. The study is performed among a sample of workers from the extractive and manufacturing industry sector, where upper limb have been the most frequently reported disorders during 2016.