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
Source: 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.
Keywords: train load planning; intermodal transportation; container terminals; rail transportation
Document URI: http://hdl.handle.net/1942/22033
ISBN: 9783319448954
DOI: 10.1007/978-3-319-44896-1_13
Rights: © Springer International Publishing Switzerland 2016
Category: C1
Type: Proceedings Paper
Validations: vabb 2018
Appears in Collections:Research publications

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