Dynamic and Stochastic Shipment Matching Problem in Multimodal Transportation

Journal article (2020)

Authors

W. Guo Support Marine and Transport Techology
B. Atasoy Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
W.W.A. Beelaerts van Blokland Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
R.R. Negenborn Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
Research Group
Support Marine and Transport Techology
Copyright: © 2020 W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn
DOI
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https://doi.org/10.1177/0361198120905592
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Published Date

2020

Language

English

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Research Group

Support Marine and Transport Techology

Abstract

Multimodal transportation, as an efficient and sustainable alternative to unimodal transportation, refers to the utilization of multiple modes, the utilization of standard loading units, and flexibility in planning. The complexity of multimodal transportation at the operational level lies in being able to deal with dynamic events that are unknown before their realization. However, stochastic information on some of the events might be available from historical data. This paper proposes an anticipatory optimization approach to handle dynamic shipment requests in multimodal transportation by incorporating stochastic information of requests’ origin, destination, volume, announce time, release time and due time. The experimental results show that the anticipatory approach outperforms a myopic approach in which decisions are made only based on deterministic information in reducing total costs under various scenarios of the multimodal matching system.