Print Email Facebook Twitter A next step in disruption management Title A next step in disruption management: combining operations research and complexity science Author Dekker, Mark M. (Universiteit Utrecht) van Lieshout, Rolf N. (Erasmus Universiteit Rotterdam) Ball, Robin C. (University of Warwick) Bouman, Paul C. (Erasmus Universiteit Rotterdam) Dekker, Stefan C. (Universiteit Utrecht) Dijkstra, Henk A. (Universiteit Utrecht) Goverde, R.M.P. (TU Delft Transport and Planning) Huisman, Dennis (Erasmus Universiteit Rotterdam; N.V. Nederlandse Spoorwegen) Panja, Debabrata (Universiteit Utrecht) Schaafsma, Alfons A.M. (ProRail) van den Akker, Marjan (Universiteit Utrecht) Date 2021 Abstract Railway systems occasionally get into a state of being out-of-control, meaning that barely any train is running, even though the required resources (infrastructure, rolling stock and crew) are available. Because of the large number of affected resources and the absence of detailed, timely and accurate information, currently existing disruption management techniques cannot be applied in out-of-control situations. Most of the contemporary approaches assume that there is only one single disruption with a known duration, that all information about the resources is available, and that all stakeholders in the operations act as expected. Another limitation is the lack of knowledge about why and how disruptions accumulate and whether this process can be predicted. To tackle these problems, we develop a multidisciplinary framework combining techniques from complexity science and operations research, aiming at reducing the impact of these situations and—if possible—avoiding them. The key elements of this framework are (i) the generation of early warning signals for out-of-control situations, (ii) isolating a specific region such that delay stops propagating, and (iii) the application of decentralized decision making, more suited for information-sparse out-of-control situations. Subject Complexity scienceOperations researchRailway disruption managementRescheduling To reference this document use: http://resolver.tudelft.nl/uuid:8cf98f09-d71d-487b-9c0a-e8ddd57119d7 DOI https://doi.org/10.1007/s12469-021-00261-5 ISSN 1866-749X Source Public Transport, 14 (1), 5-26 Part of collection Institutional Repository Document type journal article Rights © 2021 Mark M. Dekker, Rolf N. van Lieshout, Robin C. Ball, Paul C. Bouman, Stefan C. Dekker, Henk A. Dijkstra, R.M.P. Goverde, Dennis Huisman, Debabrata Panja, Alfons A.M. Schaafsma, Marjan van den Akker Files PDF Dekker2022_Article_ANextS ... agemen.pdf 877.69 KB Close viewer /islandora/object/uuid:8cf98f09-d71d-487b-9c0a-e8ddd57119d7/datastream/OBJ/view