Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Benchmarking aircraft maintenance performances using data envelopment analysis

Benchmarking aircraft maintenance performances using data envelopment analysis The authors employed the three different versions (Charnes–Cooper–Rhodes, Banker–Charnes–Cooper and slack-based measure of efficiency) of data envelopment analysis (DEA) to evaluate the comparative efficiency/inefficiency of aircraft maintenance performance during the previous 41 months in United States Air Force (USAF). As a complimentary tool, the authors also adopted Tobit regression analysis to identify factors affecting efficiencies and inefficiencies.Design/methodology/approachThis paper aims to measure the relative efficiency of maintenance performances for a type of USAF aircraft in an effort to enhance aviation safety and combat readiness.FindingsThrough this study, the authors have two noteworthy findings. These are (1) an increased number of “cannibalization” (extracting necessary parts from the existing aircraft) practices tended to reduce maintenance efficiency; (2) The number of mission-capable aircraft turned out to be the most important factor for maintenance performance efficiency.Originality/valueThis paper is one of the first studies on aircraft maintenance that considered popular but neglected cannibalization practices as a new variable for assessing the maintenance efficiency. In addition, this paper is one of the few studies that performed a post-ad hoc analysis as a follow-up to DEA analysis. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Quality & Reliability Management Emerald Publishing

Benchmarking aircraft maintenance performances using data envelopment analysis

Download PDF
14 pages

Loading next page...
 
/lp/emerald-publishing/benchmarking-aircraft-maintenance-performances-using-data-envelopment-QB54m6MpgN
Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0265-671X
DOI
10.1108/ijqrm-05-2020-0157
Publisher site
See Article on Publisher Site

Abstract

The authors employed the three different versions (Charnes–Cooper–Rhodes, Banker–Charnes–Cooper and slack-based measure of efficiency) of data envelopment analysis (DEA) to evaluate the comparative efficiency/inefficiency of aircraft maintenance performance during the previous 41 months in United States Air Force (USAF). As a complimentary tool, the authors also adopted Tobit regression analysis to identify factors affecting efficiencies and inefficiencies.Design/methodology/approachThis paper aims to measure the relative efficiency of maintenance performances for a type of USAF aircraft in an effort to enhance aviation safety and combat readiness.FindingsThrough this study, the authors have two noteworthy findings. These are (1) an increased number of “cannibalization” (extracting necessary parts from the existing aircraft) practices tended to reduce maintenance efficiency; (2) The number of mission-capable aircraft turned out to be the most important factor for maintenance performance efficiency.Originality/valueThis paper is one of the first studies on aircraft maintenance that considered popular but neglected cannibalization practices as a new variable for assessing the maintenance efficiency. In addition, this paper is one of the few studies that performed a post-ad hoc analysis as a follow-up to DEA analysis.

Journal

International Journal of Quality & Reliability Management – Emerald Publishing

Published: May 12, 2021

Keywords: Benchmarking; Aircraft maintenance performance; Data envelopment analysis; Tobit regression

References

  • AFI21-101 Aircraft and Equipment Maintenance Management, Air Force Instruction
    AF/A4LM
  • The estimation of a simultaneous-equation Tobit model
    Amemiya, T.
  • Cannibalization of aircraft parts: managing the maintenance loads induced by cannibalization
    Babu, R.D.
  • Some models for estimating technical and scale inefficiencies in data envelopment analysis
    Banker, R.D.; Charnes, A.; Cooper, W.W.
  • Measuring performance: an introduction to data envelopment analysis (DEA)
    Bowlin, W.F.
  • Causes and trends in maintenance-related accidents in FAA-certified single engine piston
    Boyd, D.; Stolzer, A.
  • Preface to topics in data envelopment analysis
    Charnes, A.; Cooper, W.W.
  • Measuring the efficiency of decision making units
    Charnes, A.; Cooper, W.W.; Rhodes, E.L.
  • A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the U.S. Air Forces
    Charnes, A.; Clark, C.T.; Cooper, W.W.; Golany, B.
  • Evaluating USAF vehicle maintenance productivity over time: an application of data envelopment analysis
    Clarke, R.L.
  • Assessment of efficiency of military transport units using the DEA and SFA methods
    Despić, D.R.; Bojović, N.J.; Kilibarda, M.J.; Kapetanović, M.V.
  • The measurement of productive efficiency
    Farrell, M.J.
  • Evaluating the relative performance of engineering design projects: a case study using data envelopment analysis
    Farris, J.A.; Groesbeck, R.L.; Van Aken, E.M.; Letens, G.
  • The performance of cannibalization policies in a maintenance system with spares, repair, and resource constraints
    Fisher, W.W.; Brennan, J.J.
  • Maintenance management: literature review and directions
    Garg, A.; Deshmukh, S.G.
  • DEA application to grouping military airbases
    Han, H.; Sohn, S.
  • Pairwise difference estimators of censored and truncated regression models
    Honoré, B.E.; Powell, J.L.
  • Fuel efficiency assessment with DEA
    Kiyzmaz, E.
  • Partially adaptive estimation of the censored regression model
    Lewis, R.A.; McDonald, J.B.
  • Benchmarking and evaluating the comparative efficiency of urban paratransit systems in the United States: a data envelopment analysis
    Min, H.; Lambert, T.E.
  • Airplane crashes
  • When poor aviation maintenance costs lives
    O'Brien, J.
  • Assessing the relative efficiency of aircraft maintenance technologies: an application of data envelopment analysis
    Peck, M.W.; Scheraga, C.A.; Boisjoly, R.P.
  • Least absolute deviations estimation for the censored regression model
    Powell, J.L.
  • Measuring the efficiency of maintenance units in the Israeli Air Force
    Roll, Y.; Golany, B.; Seroussy, D.
  • A slacks-based measure of efficiency in data envelopment analysis
    Tone, K.
  • Human factors engineering in aircraft maintenance: a review
    Shanmugam, A.; Robert, T.P.
  • A literature review of maintenance performance measurement
    Simões, J.M.; Gomes, C.F.; Yasin, M.M.
  • Aircraft maintenance operations: state of the art
    Van den Bergh, J.; De Bruecker, P.; Beliën, J.; Peeters, J.