An optimization model for aircraft maintenance scheduling and re-assignment

Chellappan, Sriram; Haghani, Ali

doi:10.1016/s0965-8564(02)00004-6

Cited by 130 publications

(123 citation statements)

References 18 publications

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“…In Stojković et al [7] the authors consider maintenance constraints and provide a real-time algorithm that does not affect routing decisions. Only Sriram and Hagani [8] consider maintenance and routing decisions together, but aircraft maintenance checks can be performed only during the night. In an unpublished report, Clarke [9] introduces a model for the ARP enforcing maintenance operations within a given time slot but, in the reported computational tests, all the flights are constrained to be operated either on time, with 30 min delay or are canceled, restricting drastically the degrees of freedom of the algorithm and thus the overall complexity of the problem.…”

Section: Literature Surveymentioning

confidence: 99%

Constraint-specific recovery network for solving airline recovery problems

Eggenberg

Salani

Bierlaire

2010

Computers & Operations Research

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Section: Literature Surveymentioning

confidence: 99%

Constraint-specific recovery network for solving airline recovery problems

Eggenberg

Salani

Bierlaire

2010

Computers & Operations Research

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“…Compared with the VRP, the ARP with maintenance is much more similar to the TCPP. The ARP with maintenance is to determine which aircraft should fly which segment and when and where each aircraft should undergo different levels of maintenance checks required by the Federal Aviation Administration [2]. Related studies usually consider type-A checks, and the maintenance standard is approximately 3-4 days.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Multiple-Population Genetic Algorithm in Optimizing the Train-Set Circulation Plan Problem

et al. 2017

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The train-set circulation plan problem (TCPP) belongs to the rolling stock scheduling (RSS) problem and is similar to the aircraft routing problem (ARP) in airline operations and the vehicle routing problem (VRP) in the logistics field. However, TCPP involves additional complexity due to the maintenance constraint of train-sets: train-sets must conduct maintenance tasks after running for a certain time and distance. The TCPP is nondeterministic polynomial hard (NP-hard). There is no available algorithm that can obtain the optimal global solution, and many factors such as the utilization mode and the maintenance mode impact the solution of the TCPP. This paper proposes a train-set circulation optimization model to minimize the total connection time and maintenance costs and describes the design of an efficient multiple-population genetic algorithm (MPGA) to solve this model. A realistic highspeed railway (HSR) case is selected to verify our model and algorithm, and, then, a comparison of different algorithms is carried out. Furthermore, a new maintenance mode is proposed, and related implementation requirements are discussed.

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“…Various authors dealt or are dealing with problems of the aircraft maintenance organization [28], the problem of maintenance planning optimization [29,30], planning, scheduling, staff training, and the impact of human error in aircraft maintenance [31][32][33], needs for spare parts [34][35][36][37] and maintenance of aircraft [38][39][40]. Additionally, there are no papers that analyse the performance of maintenance functions within these organizations.…”

Section: Maintenance Improvement Modelmentioning

confidence: 99%

Improvement of the maintenance management process of complex technical systems which demand high reliability

Beker

Kesić²,

Radlovački

et al. 2017

Teh. vjesn.

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Preliminary communicationThe main objective of this research was to develop a procedure for assessing the performance of maintenance functions in organizations that are responsible for maintaining systems that require a high level of reliability; a procedure which, with minor changes, could be applicable in other organizations, as well. The process included consideration of factors that affect the success and performance of maintenance functions. The research was carried out in Aviation Maintenance Organizations in the region of South-eastern Europe.Keywords: benchmarking; FMEA; maintenance; reliability; world class maintenance management Poboljšanje procesa upravljanja održavanja složenih tehničkih sustava koji zahtijevaju visoku pouzdanostPrethodno priopćenje Glavni cilj ovog istraživanja bio je razviti postupak za ocjenjivanje izvedbe funkcija održavanja u organizacijama koje su odgovorne za održavanje sustava koji zahtijevaju visoku razinu pouzdanosti; postupak koji bi, uz manje izmjene, mogao biti primjenjiv i u drugim organizacijama. Proces uključuje razmatranje čimbenika koji utječu na uspješnost i učinkovitost funkcije održavanja. Istraživanje je provedeno u organizacijama koje se bave održavanjem zrakoplova, u regiji jugoistočne Europe.

show abstract

An optimization model for aircraft maintenance scheduling and re-assignment

Cited by 130 publications

References 18 publications

Constraint-specific recovery network for solving airline recovery problems

Constraint-specific recovery network for solving airline recovery problems

Application of Multiple-Population Genetic Algorithm in Optimizing the Train-Set Circulation Plan Problem

Improvement of the maintenance management process of complex technical systems which demand high reliability

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