Flight operations recovery: New approaches considering passenger recovery

Bratu, Stephane; Barnhart, Cynthia

doi:10.1007/s10951-006-6781-0

Cited by 175 publications

(121 citation statements)

References 17 publications

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“…The paper "Flight Operations Recovery: New Approaches Considering Passenger Recovery" by Bratu and Barnhart [10] presents two models that considers aircraft and crew recovery and through the objective function focuses on passenger recovery. These are based on the flight schedule network.…”

Section: Integrated Recoverymentioning

confidence: 99%

Disruption management in the airline industry—Concepts, models and methods

Clausen

Larsen

et al. 2010

Computers & Operations Research

264

118

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The airline industry is notably one of the success stories with respect to the use of optimization based methods and tools in planning. Both in planning of the assignment of available aircraft to flights and in crew scheduling, these methods play a major role.Plans are usually made several months prior to the actual day of operation. As a consequence, changes often occur in the period from the construction of the plan to the day of operation. Optimization tools play an important role also in handling these changes.However, at the day of operation, no planning tool have been able to cope with the complexity of the re-planning given that the time span for proposing a solution is only a few minutes. Numerous suggestions for such subsystems have been put forward, but today no general tool is able to handle aircraft, crew, and passenger concurrently in a single system. Currently, there is a gap between the reality faced in operations control and the decision support offered by the commercial it-systems targeting the recovery process. Though substantial achievements have been made with respect to solution methods, and hardware has become much more powerful, even the most advanced prototype systems for integrated recovery have severe limitations.The current review accounts for the majority of subsystems mentioned in the literature in terms of the sub-problem addressed and the method used in each particular contribution. For each proposed system, also the computational experiments supporting the practical usability of the system is reported.

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Section: Integrated Recoverymentioning

confidence: 99%

Disruption management in the airline industry—Concepts, models and methods

Clausen

Larsen

et al. 2010

Computers & Operations Research

264

118

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“…Integrated Recovery: Bratu et al [3] presents two models that considers aircraft and crew recovery and through the objective function focuses on passenger recovery. They include delay costs that capture relevant hotel costs and ticket costs if passengers are recovered by other airlines.…”

Section: Related Workmentioning

confidence: 99%

Recovering from Airline Operational Problems with a Multi-Agent System: A Case Study

Mota

Castro

Reis

2009

Progress in Artificial Intelligence

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Abstract. The Airline Operations Control Centre (AOCC) tries to solve unexpected problems during the airline operation. Problems with aircraft, crewmembers and passengers are common and very hard to solve due to the several variables involved. This paper presents the implementation of a realworld multi-agent system for operations recovery in an airline company. The analysis and design of the system was done following a GAIA based methodology. We present the system specification as well as the implementation using JADE. A case study is included, where we present how the system solved a real problem.

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“…We believe the main reason for this is the fact that the passenger problems can be minimized if we solve the aircraft and crew problems. However, we would like to point out a recent paper [4] that, although presenting an integrated recovery approach, has a strong emphasis on reducing passenger arrival delays. This paper presents two models that considers aircraft and crew recovery and through the objective function focuses on passenger recovery.…”

Section: Aircraft Recoverymentioning

confidence: 99%

Solving Airline Operations Problems Using Specialized Agents in a Distributed Multi-Agent System

Castro

Oliveira

2008

Enterprise Information Systems

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Abstract. An airline schedule very rarely operates as planned. Problems related with aircrafts, crew members and passengers are common and the actions towards the solution of these problems are usually known as operations recovery. The Airline Operations Control Center (AOCC) tries to solve these problems with the minimum cost and satisfying all the required rules. In this paper we present the implementation of a Distributed Multi-Agent System (MAS) representing the existing roles in an AOCC. This MAS deals with several operational bases and for each type of operation problems it has several specialized software agents that implement different algorithms (heuristic, AI, OR, etc.), competing to find the best solution for each problem. We present a real case study taken from an AOCC where a crew recovery problem is solved. Computational results using a real airline schedule are presented, including a comparison with a solution for the same problem found by the human operators in the AOCC. We show that, even in simple problems and when comparing with solutions found by human operators, it is possible to find valid solutions, in less time and with a smaller cost.

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Flight operations recovery: New approaches considering passenger recovery

Cited by 175 publications

References 17 publications

Disruption management in the airline industry—Concepts, models and methods

Disruption management in the airline industry—Concepts, models and methods

Recovering from Airline Operational Problems with a Multi-Agent System: A Case Study

Solving Airline Operations Problems Using Specialized Agents in a Distributed Multi-Agent System

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