How to measure robustness of shunting plans

Publication date

2018

Authors

van den Broek, RoelISNI 000000049330175X
Hoogeveen, J.A.ISNI 0000000352147824
Akker, Marjan van denORCID 0000-0002-7114-0655ISNI 0000000389782477

Editors

Storandt, Sabine
Borndorfer, Ralf

Advisors

Supervisors

Document Type

Part of book
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License

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