Abstract
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.
Acknowledgements
The authors express deep gratitude to Departments of Mathematics, Business Administration and Construction at University of Oviedo for useful assistance and computational support. Helpful comments and discussion are gratefully acknowledged. We thank the use of the R free software environment for statistical computing and graphics program of this research work.