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Petrides, I., Rokou, E. and Kirytopoulos, K. 2014, 'Reactive scheduling in practice', in Siskos, Y., Matsatsinis, N. and Psarras, J. (eds), Proceedings of the 2nd International Symposium and 24th National Conference on Operational Research, Hellenic Operations research Society (HELORS), 26-28 of September 2013, Athens, pp. 10-16.

Uncertainty is inherent in project management, most, if not all, project schedules tend to get disrupted and are therefore in need of rescheduling in order to continue. The use of normal scheduling methods in such cases tends to create new schedules that are either too different from the baseline schedule or relatively unstable to further disruptions.
The objective of this paper is to propose a reactive scheduling process that may be used to revise or re-optimize a previously developed baseline schedule when unexpected events occur, taking into consideration the existing schedule and the work already done or currently in progress. The proposed approach is based on a hybrid algorithm that combines genetic algorithms with simulated annealing and particle swarm optimization and aims at providing quick response and multiple solution scenarios to the project manager, so as to efficiently handle the experienced or forecasted disruptions.

Keywords – Project scheduling, reactive scheduling, genetic algorithm, RCPSP.