Archivo Abierto Institucional de la Universidad Carlos III de Madrid >
Departamento de Estadística >
DES - Working Papers. Statistics and Econometrics. WS >
Please use this identifier to cite or link to this item:
|Files in This Item:
|ws061605.pdf||-- 2006-11-09 -- Available on Internet -- preprint||679,52 kB||Adobe PDF|
|Title: ||Optimal railway infrastructure maintenance and repair policies to manage risk under uncertainty with adaptive control|
|Author(s): ||González, Javier|
Romera, Rosario [mrromera]
Carretero Pérez, Jesús
Pérez, Jose M.
|Issued date: ||Mar-2006|
|Abstract: ||The aim of this paper is to apply two adaptive control formulations under uncertainty, say open-loop and closed-loop, to the process of developing maintenance and repair policies for railway infrastructures. To establish the optimal maintenance and repair policies for railway lines, we use a previous design of risk model based on two factors: the criticality and the deterioration ratios of the facilities. Thus, our theory benefits from the Reliability Centered Management methodology application, but it also explicitly models uncertainty in characterizing a facility deterioration rate to decide the optimal policy to maintain the railway infrastructures. This may be the major contribution of this work. To verify the models presented, a computation study has been developed and tested for a real scenario: the railway line Villalba-Cercedilla in Madrid (Spain). Our results demonstrate again that applying any adaptive formulation, the cost of the railway lines maintenance shown is decreased. Moreover applying a Closed Loop Formulation the cost associated to the risk takes smaller values (40% less cost for the same risk than the deterministic approach), but with an Open Loop formulation the generated risk in the railway line is also smaller.|
|Serie / Nº.: ||UC3M Working Papers. Statistics and Econometrics|
|Appears in Collections:||DES - Working Papers. Statistics and Econometrics. WS|
Items in E-Archivo are protected by copyright, with all rights reserved, unless otherwise indicated.