Optimizing inspection intervals - Reliability and availability in terms of a cost model: A case study on railway carriers

This paper states the problem that railway carriers have with inspections and maintenance in its most cost optimal way. Often there is external pressure to improve reliability and availability and to reduce costs significantly. To overcome this problem this paper suggests a model that tries to find the optimal inspection interval. Not all maintenance companies have their inspection intervals that match with the actual reliability of a system anymore and the inspection intervals are not necessarily at a cost optimum. This research retrieves the actual failure and repair data and combines this together with the availability of a system to find the optimum inspection interval in terms of costs. The application of the optimization approach to a railway carrier maintenance company in the Netherlands is also presented.

[1]  W. Weibull A Statistical Distribution Function of Wide Applicability , 1951 .

[2]  J. Moubray Reliability-Centered Maintenance , 1991 .

[3]  Joseph H. Saleh,et al.  Reliability: How much is it worth? Beyond its estimation or prediction, the (net) present value of reliability , 2006, Reliab. Eng. Syst. Saf..

[4]  D. A. Hansen,et al.  Statistical Modeling of Pitting Corrosion and Pipeline Reliability , 1990 .

[5]  Marvin Rausand,et al.  Reliability centered maintenance , 1998 .

[6]  Thomas P. Ryan,et al.  Statistical methods for quality improvement , 1989 .

[7]  B. S. Hauge,et al.  Reliability-centered maintenance on the Space Shuttle Program , 2000, Annual Reliability and Maintainability Symposium. 2000 Proceedings. International Symposium on Product Quality and Integrity (Cat. No.00CH37055).

[8]  S. D. Durham,et al.  Cumulative damage models for system failure with application to carbon fibers and composites , 1997 .

[9]  Anwar Khalil Sheikh,et al.  A probabilistic characterization of adhesive wear in metals , 1997 .

[10]  S. O. Duffuaa,et al.  An Optimal Complete Inspection Plan for Critical Multicharacteristic Components , 1995 .

[11]  Frank Grooteman,et al.  A stochastic approach to determine lifetimes and inspection schemes for aircraft components , 2008 .

[12]  Rommert Dekker,et al.  PROMPT, A Decision Support System for Opportunity-Based Preventive Maintenance , 1996 .

[13]  B. S. Hauge Optimizing intervals for inspection and failure-finding tasks , 2002, Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318).

[14]  Michael Macke,et al.  Optimizing Maintenance Interventions for Deteriorating Structures Using Cost-Benefit Criteria , 2007 .

[15]  Rommert Dekker,et al.  On the impact of optimisation models in maintenance decision making: the state of the art , 1998 .

[16]  Kari Laakso,et al.  Value-driven maintenance planning for a production plant , 2009, Reliab. Eng. Syst. Saf..

[17]  F S Nowlan,et al.  RELIABILITY-CENTERED MAINTENANCE , 1978 .

[18]  J. Lieblein,et al.  Statistical Investigation of the Fatigue Life of Deep-Groove Ball Bearings , 1956 .

[19]  Joseph H. Saleh,et al.  Beyond its cost, the value of maintenance: An analytical framework for capturing its net present value , 2009, Reliab. Eng. Syst. Saf..

[20]  Do Sun Bai,et al.  Field data analyses with additional after-warranty failure data , 2001, Reliab. Eng. Syst. Saf..

[21]  M. Fréchet Sur la loi de probabilité de l'écart maximum , 1928 .