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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22033

Title: Optimizing Train Load Planning: Review and Decision Support for Train Planners
Authors: Heggen, Hilde
Braekers, Kris
Caris, An
Issue Date: 2016
Publisher: Springer International Publishing
Citation: Paias, Ana; Ruthmair, Mario; Voss, Stefan (Ed.). Computational Logistics: 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings, Springer International Publishing,p. 193-208
Series/Report: Lecture Notes in Computer Science
Series/Report no.: 9855
Abstract: Train load planners are confronted with complex practical considerations during the booking and planning process. In order to optimally utilize the available loading space, train capacity is monitored in terms of available length and weight while accounting for the urgency with which load units must be sent. Furthermore, the execution of the load plan by the terminal operator must be performed efficiently to minimize total handling costs. The contribution of this paper is threefold. First, current literature on train load planning is reviewed based on three main groups of factors influencing the load plan composition. Second, a static model is developed to introduce a number of practical constraints from the viewpoint of the network operator. Finally, the model is adapted to reflect the planning environment of a real-life case study.
URI: http://hdl.handle.net/1942/22033
DOI: 10.1007/978-3-319-44896-1_13
ISBN: 9783319448954
ISSN: 0302-9743
Category: C1
Type: Proceedings Paper
Validation: vabb, 2018
Appears in Collections: Research publications

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