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Title:Online container transport planning with decision trees based on offline obtained optimal solutions
Authors:B. van Riessen, R.R. Negenborn, R. Dekker

Conference:International Forum on Shipping, Ports and Airports 2014 (IFSPA 2014)
Address:Hong Kong
Date:May 2014

Abstract:Hinterland networks for container transportation require planning methods in order to increase efficiency and reliability of the inland road, rail and waterway connections. Earlier proposed centralised methods can in theory find the optimal solution for the multimodal inland transportation problem in retrospect, but are not suitable when information becomes gradually available. Besides real-time up-to-date information on inland services necessary for applying these methods in practice is typically not available. In this paper we aim to derive online decision rules for suitable allocations of containers to inland services by analysing the solution structure of a centralised optimisation method used offline. The online decision support system (DSS) must be able to instantaneously allocate incoming orders to suitable services, without the need for continuous planning updates. Such a DSS is beneficial, as it is easier to implement in the current practice of container transportation than a fully automated planning system, while providing a better performance. A case study is used to show the methodís purpose and to compare the quality of the resulting plan with alternatives.

Reference:B. van Riessen, R.R. Negenborn, R. Dekker. Online container transport planning with decision trees based on offline obtained optimal solutions. In Proceedings of the International Forum on Shipping, Ports and Airports 2014 (IFSPA 2014), Hong Kong, pp. 50-60, May 2014.
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