Matchup scheduling with multiple resources, release dates and disruptions
Operations Research
Alternative resources in project scheduling
Computers and Operations Research
Constraint-directed techniques for scheduling alternative activities
Artificial Intelligence
An evolutionary algorithm for resource-constrained projectscheduling
IEEE Transactions on Evolutionary Computation
Extending the RCPSP for modeling and solving disruption management problems
Applied Intelligence
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This paper describes how the Resource-Constrained Project Scheduling Problem (RCPSP) can be used as a basis for real-time decision support in the disruption management of the aircraft turnaround, the most typical airport ground process. For this purpose, the RCPSP is extended by the possibility to describe alternative activities, which can be used to model potential process modifications. An evolutionary approach is presented for solving this generalized problem, considering both basic rescheduling possibilities as well as the option of exchanging activities. The work presented in this paper is based on the results of a study conducted in collaboration with Deutsche Lufthansa AG, concerned with the analysis of the elementary requirements of decision support systems for turnaround process management.