Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387309836> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4387309836 abstract "Abstract This paper proposes using reinforcement learning (RL) to schedule maintenance tasks, which can significantly reduce direct operating costs for airlines. The approach consists of a static algorithm for long-term scheduling and an adaptive algorithm for rescheduling based on new maintenance information. To assess the performance of both approaches, three key performance indicators (KPIs) are defined: Ground Time, representing the hours an aircraft spends on the ground; Time Slack, measuring the proximity of tasks to their due dates; and Change Score, quantifying the similarity level between initial and adapted maintenance plans when new information surfaces. The results demonstrate the efficacy of RL in producing efficient maintenance plans, with the algorithms complementing each other to form a solid foundation for routine tasks and real-time responsiveness to new information. While the static algorithm performs slightly better in terms of Ground Time and Time Slack, the adaptive algorithm excels overwhelmingly in terms of Change Score, offering greater flexibility in handling new maintenance information. The proposed RL-based approach can improve the efficiency of aircraft maintenance and has the potential for further research in this area." @default.
- W4387309836 created "2023-10-04" @default.
- W4387309836 creator A5012594097 @default.
- W4387309836 creator A5030205203 @default.
- W4387309836 creator A5033597306 @default.
- W4387309836 creator A5046882659 @default.
- W4387309836 date "2023-10-03" @default.
- W4387309836 modified "2023-10-16" @default.
- W4387309836 title "Adaptive reinforcement learning for task scheduling in aircraft maintenance" @default.
- W4387309836 cites W1521752770 @default.
- W4387309836 cites W1558884406 @default.
- W4387309836 cites W2007073703 @default.
- W4387309836 cites W2110645419 @default.
- W4387309836 cites W2159185621 @default.
- W4387309836 cites W2746553466 @default.
- W4387309836 cites W2968796284 @default.
- W4387309836 cites W3112348498 @default.
- W4387309836 cites W3124590158 @default.
- W4387309836 cites W3125405874 @default.
- W4387309836 cites W3155444895 @default.
- W4387309836 cites W32403112 @default.
- W4387309836 cites W4283810320 @default.
- W4387309836 cites W4285152186 @default.
- W4387309836 cites W4307290295 @default.
- W4387309836 doi "https://doi.org/10.1038/s41598-023-41169-3" @default.
- W4387309836 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37789033" @default.
- W4387309836 hasPublicationYear "2023" @default.
- W4387309836 type Work @default.
- W4387309836 citedByCount "0" @default.
- W4387309836 crossrefType "journal-article" @default.
- W4387309836 hasAuthorship W4387309836A5012594097 @default.
- W4387309836 hasAuthorship W4387309836A5030205203 @default.
- W4387309836 hasAuthorship W4387309836A5033597306 @default.
- W4387309836 hasAuthorship W4387309836A5046882659 @default.
- W4387309836 hasBestOaLocation W43873098361 @default.
- W4387309836 hasConcept C105795698 @default.
- W4387309836 hasConcept C111919701 @default.
- W4387309836 hasConcept C119857082 @default.
- W4387309836 hasConcept C127413603 @default.
- W4387309836 hasConcept C135510737 @default.
- W4387309836 hasConcept C162324750 @default.
- W4387309836 hasConcept C187736073 @default.
- W4387309836 hasConcept C201995342 @default.
- W4387309836 hasConcept C206729178 @default.
- W4387309836 hasConcept C21547014 @default.
- W4387309836 hasConcept C2780451532 @default.
- W4387309836 hasConcept C2780598303 @default.
- W4387309836 hasConcept C33923547 @default.
- W4387309836 hasConcept C41008148 @default.
- W4387309836 hasConcept C42475967 @default.
- W4387309836 hasConcept C68387754 @default.
- W4387309836 hasConcept C79403827 @default.
- W4387309836 hasConcept C97541855 @default.
- W4387309836 hasConceptScore W4387309836C105795698 @default.
- W4387309836 hasConceptScore W4387309836C111919701 @default.
- W4387309836 hasConceptScore W4387309836C119857082 @default.
- W4387309836 hasConceptScore W4387309836C127413603 @default.
- W4387309836 hasConceptScore W4387309836C135510737 @default.
- W4387309836 hasConceptScore W4387309836C162324750 @default.
- W4387309836 hasConceptScore W4387309836C187736073 @default.
- W4387309836 hasConceptScore W4387309836C201995342 @default.
- W4387309836 hasConceptScore W4387309836C206729178 @default.
- W4387309836 hasConceptScore W4387309836C21547014 @default.
- W4387309836 hasConceptScore W4387309836C2780451532 @default.
- W4387309836 hasConceptScore W4387309836C2780598303 @default.
- W4387309836 hasConceptScore W4387309836C33923547 @default.
- W4387309836 hasConceptScore W4387309836C41008148 @default.
- W4387309836 hasConceptScore W4387309836C42475967 @default.
- W4387309836 hasConceptScore W4387309836C68387754 @default.
- W4387309836 hasConceptScore W4387309836C79403827 @default.
- W4387309836 hasConceptScore W4387309836C97541855 @default.
- W4387309836 hasFunder F4320334779 @default.
- W4387309836 hasIssue "1" @default.
- W4387309836 hasLocation W43873098361 @default.
- W4387309836 hasLocation W43873098362 @default.
- W4387309836 hasOpenAccess W4387309836 @default.
- W4387309836 hasPrimaryLocation W43873098361 @default.
- W4387309836 hasRelatedWork W2024136090 @default.
- W4387309836 hasRelatedWork W2031695474 @default.
- W4387309836 hasRelatedWork W2138720691 @default.
- W4387309836 hasRelatedWork W2586732548 @default.
- W4387309836 hasRelatedWork W2964765435 @default.
- W4387309836 hasRelatedWork W3049728571 @default.
- W4387309836 hasRelatedWork W4306904969 @default.
- W4387309836 hasRelatedWork W4362501864 @default.
- W4387309836 hasRelatedWork W4380318855 @default.
- W4387309836 hasRelatedWork W2585069576 @default.
- W4387309836 hasVolume "13" @default.
- W4387309836 isParatext "false" @default.
- W4387309836 isRetracted "false" @default.
- W4387309836 workType "article" @default.