How to measure robustness of shunting plans
Publication date
2018
Editors
Storandt, Sabine
Borndorfer, Ralf
Advisors
Supervisors
Document Type
Part of book
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Abstract
The general problem of scheduling activities subject to temporal and resource constraints as well as a deadline emerges naturally in numerous application domains such as project management, production planning, and public transport. The schedules often have to be implemented in an uncertain environment, where disturbances cause deviations in the duration, release date or deadline of activities. Since these disruptions are not known in the planning phase, we must have schedules that are robust, i.e., capable of absorbing the disturbances without large deteriorations of the solution quality. Due to the complexity of computing the robustness of a schedule directly, many surrogate robustness measures have been proposed in literature. In this paper, we propose new robustness measures, and compare these and several existing measures with the results of a simulation study to determine which measures can be applied in practice to obtain good approximations of the true robustness of a schedule with deadlines. The experiments are performed on schedules generated for real-world scheduling problems at the shunting yards of the Dutch Railways (NS).
Keywords
robustness, resource-constrained project scheduling, partial order schedule, uncertainty, Monte Carlo simulation, train shunting, Geography, Planning and Development, Modelling and Simulation
Citation
van den Broek, R W, Hoogeveen, J A & van den Akker, J M 2018, How to measure robustness of shunting plans. in S Storandt & R Borndorfer (eds), 18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems : ATMOS 2018, August 23–24, 2018, Helsinki, Finland., 3, OpenAccess Series in Informatics, vol. 65, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2018, Helsinki, Finland, 23/08/18. https://doi.org/10.4230/OASIcs.ATMOS.2018.3, conference