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Assessing the efficiency of maintenance operators: A case study of turning railway wheelsets on an under-floor wheel lathe

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  • Antonio Ramos Andrade
  • Julian Stow

Abstract

This article assesses the technical efficiency of different operators turning railway wheelsets on an under-floor wheel lathe. This type of lathe is a computer numerical control machine used to turn wheelsets in situ on the train. As railway wheels are turned, a certain amount of the wheel diameter is lost to restore the tread profile and full flange thickness of the wheel. The technical efficiencies of the different wheel lathe operators are assessed using a stochastic frontier analysis, while controlling for other explaining variables such as the flange thickness and the occurrence of rolling contact fatigue defects, wheel flats and cavities. Different model specifications for the stochastic frontier analysis are compared with linear mixed model specifications, showing that the stochastic frontier analysis model exhibits a better Akaike information criterion.

Suggested Citation

  • Antonio Ramos Andrade & Julian Stow, 2017. "Assessing the efficiency of maintenance operators: A case study of turning railway wheelsets on an under-floor wheel lathe," Journal of Risk and Reliability, , vol. 231(2), pages 155-163, April.
    • Handle: RePEc:sae:risrel:v:231:y:2017:i:2:p:155-163
    DOI: 10.1177/1748006X16688606
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    References listed on IDEAS

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    1. Smith, Andrew S.J., 2012. "The application of stochastic frontier panel models in economic regulation: Experience from the European rail sector," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 503-515.
    2. Mehdi Farsi & Massimo Filippini & William Greene, 2005. "Efficiency Measurement in Network Industries: Application to the Swiss Railway Companies," Journal of Regulatory Economics, Springer, vol. 28(1), pages 69-90, July.
    3. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    4. Scotti, Davide & Malighetti, Paolo & Martini, Gianmaria & Volta, Nicola, 2012. "The impact of airport competition on technical efficiency: A stochastic frontier analysis applied to Italian airport," Journal of Air Transport Management, Elsevier, vol. 22(C), pages 9-15.
    5. Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
    6. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    7. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    8. Andrade, A.R. & Teixeira, P.F., 2015. "Statistical modelling of railway track geometry degradation using Hierarchical Bayesian models," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 169-183.
    9. Filippini, M. & Koller, M. & Masiero, G., 2015. "Competitive tendering versus performance-based negotiation in Swiss public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 158-168.
    10. Welde, Morten & Odeck, James, 2011. "The efficiency of Norwegian road toll companies," Utilities Policy, Elsevier, vol. 19(3), pages 162-171.
    11. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    12. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    2. López-Bermúdez, Beatriz & Freire-Seoane, María Jesús & Nieves-Martínez, Diego José, 2019. "Port efficiency in Argentina from 2012 to 2017: An ally for sustained economic growth," Utilities Policy, Elsevier, vol. 61(C).

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