Integrating Maintenance Work Progress Monitoring into Aircraft Maintenance Planning Decision Support

Pieter Callewaert, Wim Verhagen, Ricky Curran

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

9 Citations (Scopus)
96 Downloads (Pure)


A decision support framework is proposed, allowing for the integration of aircraft maintenance work progress monitoring into the aircraft maintenance planning decision support process. The framework is able to monitor the progression of planned maintenance by analysing real-time data on work progress. This can be used to explore optimal task planning in case of delays or maintenance being ahead of schedule. Using a combination of reliability analysis, cost analysis, decision alternative generation and ranking yields a decision support tool which is able to deal with the stochastic nature of maintenance task execution. Case study results indicate that the framework is able to generate decision alternatives with a lower total cost than the reference alternative, while at the same time optimising the maintenance planning, resulting in a possible reduction of the maintenance costs of 45 to 90% (depending on parameter settings).
Original languageEnglish
Title of host publication6th CEAS Air and Space Conference, Bucharest, October 2017
EditorsB. Gherman, L. Porumbel
Publication statusPublished - 2018
Event6th CEAS Air and Space Conference - Palace of the Parliament, Bucharest, Romania
Duration: 16 Oct 201720 Oct 2017
Conference number: 6

Publication series

NameTransportation Research Procedia
ISSN (Electronic)2352-1465


Conference6th CEAS Air and Space Conference
Abbreviated titleCEAS 2017
Internet address


  • Maintenance planning
  • work progress monitoring
  • decision framework


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