Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 155-163 |
| Number of pages | 9 |
| Journal | Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability |
| Volume | 231 |
| Issue number | 2 |
| Early online date | 30 Jan 2017 |
| DOIs | |
| Publication status | Published - 1 Apr 2017 |
Fingerprint
Cite this
}
Assessing the Efficiency of Maintenance Operators : A Case Study of Turning Railway Wheelsets on an Under-Floor Wheel Lathe. / Ramos Andrade, Antonio; Stow, Julian.
In: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Vol. 231, No. 2, 01.04.2017, p. 155-163.Research output: Contribution to journal › Article
TY - JOUR
T1 - Assessing the Efficiency of Maintenance Operators
T2 - A Case Study of Turning Railway Wheelsets on an Under-Floor Wheel Lathe
AU - Ramos Andrade, Antonio
AU - Stow, Julian
PY - 2017/4/1
Y1 - 2017/4/1
N2 - 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.
AB - 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.
KW - Technical efficiency
KW - Railway maintenance
KW - Stochastic frontier analysis
KW - Linear mixed models
KW - Performance modelling
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85018766163&origin=resultslist&sort=plf-f&src=s&st1=Assessing+the+efficiency+of+maintenance+operators%3a+A+case+study+of+turning+railway+wheelsets+on+an+under-floor+wheel+lathe&st2=&sid=9cc701be9908ab35c9aba6bc0d8eadde&sot=b&sdt=b&sl=137&s=TITLE-ABS-KEY%28Assessing+the+efficiency+of+maintenance+operators%3a+A+case+study+of+turning+railway+wheelsets+on+an+under-floor+wheel+lathe%29&relpos=0&citeCnt=6&searchTerm=
U2 - 10.1177/1748006X16688606
DO - 10.1177/1748006X16688606
M3 - Article
VL - 231
SP - 155
EP - 163
JO - Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
JF - Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
SN - 1748-006X
IS - 2
ER -