Maintenance analysis for continuous improvement of railway infrastructure performance

References

• ÅhrénT., & ParidaA. (2009). Maintenance performance indicators (MPIs) for benchmarking the railway infrastructure: A case study. Benchmarking: An International Journal, 16, 247–258.
   Google Scholar
• AlexanderssonG., & HulténS. (2008). The Swedish railway deregulation path. Review of Network Economics, 7, 18–36.
   Web of Science ®Google Scholar
• AvenT. (2008). Risk analysis in maintenance. In K.A.H.Kobbacy & D.N.P.Murthy (Eds.), Complex system maintenance handbook (pp. 459–478). London: Springer.
   Google Scholar
• BititciU.S. (1997). Integrated performance measurement systems: A development guide. International Journal of Operations Production Management, 17, 522–534.
   Web of Science ®Google Scholar
• BragliaM. (2000). MAFMA: Multi-attribute failure mode analysis. International Journal of Quality & Reliability Management, 17, 1017–1033.
   Google Scholar
• CarreteroJ., PérezJ.M., García-CarballeiraF., CalderónA., FernándezJ., GarcíaJ.D., & PreteP. (2003). Applying RCM in large scale systems: A case study with railway networks. Reliability Engineering and System Safety, 82, 257–273.
   Web of Science ®Google Scholar
• DaleB.G., van der WieleA., & van IwaardenJ. (2007). Managing quality. Oxford: Blackwell Publishers.
   Google Scholar
• DettmerH.W. (1997). Goldratt's theory of constraints: A systems approach to continuous improvement. Milwaukee, WI: ASQ Quality Press.
   Google Scholar
• EkbergA., & PaulssonB. (2010). INNOTRACK, Concluding technical report. Paris: International Union of Railways.
   Google Scholar
• EN 15341 (2007). Maintenance – Maintenance key performance indicators. Brussels: European Committee for Standardization (CEN).
   Google Scholar
• EN 50126 (1999). Railway applications – The specification and demonstration of reliability, availability, maintainability and safety (RAMS). Brussels: European Committee for Standardization (CEN).
   Google Scholar
• GhalayiniA.M., NobleJ.S., & CroweT.J. (1997). An integrated dynamic performance measurement system for improving manufacturing competitiveness. International Journal of Production Economics, 48, 207–225.
   Web of Science ®Google Scholar
• IEC 31010 (2009). Risk management – Risk assessment techniques. Geneva: International Organization for Standardization/International Electrotechnical Commission, ISO.IEC 31010:2009.
   Google Scholar
• IEC 60300-3-1 (2003). Dependability management – Part 3-1: Application guide – Analysis techniques for dependability – Guide on methodology. Geneva: International Standards on Dependability, International Electrotechnical Commission, IEC 60300-3-1 (2003-01).
   Google Scholar
• IEC 60300-3-14 (2004). Dependability management – Part 3-14: Application guide – Maintenance and maintenance support. Geneva: International Standards on Dependability, International Electrotechnical Commission, IEC 60300-3-14 (2004-07).
   Google Scholar
• KennerleyM., & NeelyA. (2002). Performance measurement frameworks: A review. In A.Neely (Ed.), Business performance measurement: Theory and practice (pp. 145–155). Cambridge: Cambridge University Press.
   Google Scholar
• KumarU., GalarD., ParidaA., StenströmC., & BergesL. (2013). Maintenance performance metrics: A state-of-the-art review. Journal of Quality in Maintenance Engineering, 19, 233–277.
   Google Scholar
• MárquezA.C. (2007). The maintenance management framework: Models and methods for complex systems maintenance: Springer series in reliability engineering.
   Google Scholar
• McKoneK.E., SchroederR.G., & CuaK.O. (1999). Total productive maintenance: A contextual view. Journal of Operations Management, 17, 123–144.
   Google Scholar
• MedoriD., & SteepleD. (2000). A framework for auditing and enhancing performance measurement systems. International Journal of Operations & Production Management, 20, 520–533.
   Web of Science ®Google Scholar
• MIL-STD-1629A (1980). Procedures for performing a failure mode, effect and criticality analysis. Washington, DC: Department of Defense.
   Google Scholar
• MisraK.B. (2008). The handbook of performability engineering. London: Springer.
   Google Scholar
• NakajimaS. (1988). Introduction to TPM: Total productive maintenance. Cambridge, MA: Productivity Press.
   Google Scholar
• NeelyA. (2005). Performance measurement system design: A literature review and research agenda. International Journal of Operations Production Management, 25, 1228–1263.
   Web of Science ®Google Scholar
• NyströmB., & SöderholmP. (2010). Selection of maintenance actions using the analytic hierarchy process (AHP): Decision-making in railway infrastructure. Structure and Infrastructure Engineering, 6, 467–479.
   Web of Science ®Google Scholar
• ParidaA., & ChattopadhyayG. (2007). Development of a multi-criteria hierarchical framework for maintenance performance measurement (MPM). Journal of Quality in Maintenance Engineering, 13(3), 241–258.
   Google Scholar
• PhamH. (2013). A new software reliability model with Vtub-shaped fault-detection rate and the uncertainty of operating environments. Optimization: A Journal of Mathematical Programming and Operations Research. doi:10.1080/02331934.2013.854787.
   Google Scholar
• SmithR., & HawkinsB. (2004). Lean maintenance: Reduce costs, improve quality, and increase market share. Burlington: Butterworth-Heinemann.
   Google Scholar
• SöderholmP., & NorrbinP. (2013). A risk based dependability approach to link maintenance performance measurement and management to overall objectives – A case study within the Swedish railway. Journal of Quality in Maintenance Engineering, 19, 316–329.
   Google Scholar
• StenströmC., ParidaA., & GalarD. (2012). Performance indicators of railway infrastructure. International Journal of Railway Technology, 1, 1–18.
   Google Scholar
• Trafikverket (2012). http://www.trafikverket.se/. Retrieved, 2012, from http://www.trafikverket.se/.
   Google Scholar
• TsangA.H.C. (1998). A strategic approach to managing maintenance performance. Journal of Quality in Maintenance Engineering, 4, 87–94.
   Google Scholar
• YuanJ. (2006). Stochastic modeling of train delays and delay propagation in stations. (Ph.D. Thesis), Faculty of Civil Engineering and Geosciences. Department of Transport and Planning, Delft University of Technology, Netherlands.
   Google Scholar