An exact solution algorithm for maximizing the fleet availability of a unit of aircraft subject to flight and maintenance requirements

Gavranis, Andreas; Kozanidis, George

doi:10.1016/j.ejor.2014.10.016

Cited by 48 publications

(19 citation statements)

References 7 publications

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“…This has been extended (e.g., Kozanidis et al, 2012) by seeking to generate flying and maintenance plans over multiple time horizons (here, a monthly plan for six months) while maximizing aircraft availability (i.e., the total fleet hours remaining until phased maintenance). These authors (Gavranis and Kozanidis, 2015) then exploited the limited number of aircraft combinations that can begin and end phased maintenance to develop an exact solution to this problem. A US Coast Guard study (Hahn and Newman, 2008) used a MIP to generate an optimal weekly plan for 12 weeks for a helicopter fleet.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal policies for aircraft fleet management in the presence of unscheduled maintenance

Looker¹,

Mak‐Hau

Marlow³

2017

Syme, G., Hatton MacDonald, D., Fulton, B. And Piantadosi, J. (Eds) MODSIM2017, 22nd International Congress on Modelling and Si

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This paper presents a fleet management model for military aircraft that generates daily flying and maintenance allocations. This model has two novel features that distinguish it from previous models of fleet management in the literature. Most notably, random unscheduled maintenance is integrated with an optimisation approach. This is important, as unscheduled maintenance is a regular occurrence in day-today military aircraft fleet management, thus limiting the ability of deterministic models to provide useful guidance. Furthermore, the model is designed to discover policies that dynamically adapt to random events to deliver optimal fleet serviceability. Other features of the model include flying-hour based phased maintenance with variable induction (day when maintenance begins), day-based regular inspections, and separate phased and flight-line maintenance facilities with both manpower and line capacity constraints. In the model, serviceable aircraft fly up to a specified number of hours per day. Once a certain number of flying hours has been achieved, those aircraft must begin phased maintenance within an allowable induction range. Regular inspections are an additional type of scheduled maintenance based on elapsed time. Phased maintenance typically takes a few hundred maintenance man hours, whereas regular inspections take tens of man hours. Two types of maintenance facilities are included. Phased maintenance can only be undertaken on the phased maintenance line, and regular inspections are typically undertaken on the flight line. If a regular inspection is due at the same time as a phased service, these can be performed concurrently. Unscheduled maintenance is undertaken in flight line maintenance if incurred on serviceable aircraft, or in either facility if discovered during the course of scheduled maintenance.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal policies for aircraft fleet management in the presence of unscheduled maintenance

Looker¹,

Mak‐Hau

Marlow³

2017

Syme, G., Hatton MacDonald, D., Fulton, B. And Piantadosi, J. (Eds) MODSIM2017, 22nd International Congress on Modelling and Si

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“…Brunner [2] proposed the flight assignment model considering passenger costs. Gavranis and Kozanidis [3] designed the flight assignment algorithm with flight delay. Furini et al [4] optimized the flight sequencing problem using a rolling horizon algorithm.…”

Section: Introductionmentioning

confidence: 99%

Flights Assignment Model of Multiple Airports Based on Game Theory and CDM Mechanism

Liu

2020

Mathematical Problems in Engineering

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To minimize delay cost of flights in multiple airports, this paper studied flights assignment problem under delay conditions. By considering the delay cost, airport capacity, and the slot exchange between airlines, this paper proposed a novel assignment model based on game theory and CDM mechanism. An improved ant colony algorithm was proposed to solve the flight assignment problem. The case studies showed that the proposed model can optimize the minimum delay cost between airlines under multiairport capacity constraints. The performance of proposed method was better than that of traditional non-slot-exchange method.

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“…Existing approaches to aircraft maintenance planning and scheduling are limited in their capacity to deal with contingencies arising out of tasks carried out during the implementation of maintenance projects [1]. At the aircraft system level, recent methods have been proposed [2][3][4] that aim to optimize the outcome of an aircraft maintenance plan with respect to various aircraft operational requirements. These studies are based on deterministic mathematical models describing flight and maintenance procedures, without taking into account failures and corrective maintenance requirements.…”

Section: Introductionmentioning

confidence: 99%

Use of Cost-Adjusted Importance Measures for Aircraft System Maintenance Optimization

Bozoudis¹,

Lappas

Kottas³

2018

Aerospace

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The development of an aircraft maintenance planning optimization tool and its application to an aircraft component is presented. Various reliability concepts and approaches have been analyzed, together with objective criteria which can be used to optimize the maintenance planning of an aircraft system, subsystem or component. Wolfram ® Mathematica v10.3 9 (Witney, UK) has been used to develop the novel optimization tool, the application of which is expected to yield significant benefits in selecting the most appropriate maintenance intervention based on objective criteria, in estimating the probability of nonscheduled maintenance and in estimating the required number of spare components for both scheduled and nonscheduled maintenance. As such, the results of the application of the tool can be used to assist the risk planning process for future system malfunctions, providing safe projections to facilitate the supply chain of the end user of the system, resulting in higher aircraft fleet operational availability.

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An exact solution algorithm for maximizing the fleet availability of a unit of aircraft subject to flight and maintenance requirements

Cited by 48 publications

References 7 publications

Optimal policies for aircraft fleet management in the presence of unscheduled maintenance

Optimal policies for aircraft fleet management in the presence of unscheduled maintenance

Flights Assignment Model of Multiple Airports Based on Game Theory and CDM Mechanism

Use of Cost-Adjusted Importance Measures for Aircraft System Maintenance Optimization

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