Real-time disruption management approach for intermodal freight transportation

JOURNAL OF CLEANER PRODUCTION

卷:280

Article

Hrusovsky, Martin¹  Demir, Emrah²  Jammernegg, Werner¹  Van Woensel, Tom³ 

[1] WU Vienna Univ Econ & Business, Inst Prod Management, Vienna, Austria

[2] Cardiff Univ, Cardiff Business Sch, PARC Inst Mfg Logist & Inventory, Cardiff, Wales

[3] Eindhoven Univ Technol, Sch Ind Engn Operat Planning Accounting & Control, Eindhoven, Netherlands

关键词: Real-time planning;    Intermodal freight transportation;    Disruption management;    Simulation-optimization;   

DOI  :  10.1016/j.jclepro.2020.124826

来源: Elsevier

【 摘 要 】

The share of intermodal transportation, which is often considered as a sustainable transportation alternative, is rather low compared to road transportation. There are several reasons for this situation, including the increased need for coordination of scheduled transport services and the reduced reliability of intermodal transport chains in case of disruptions. In this regard, developing an advanced algorithmic approach can help to handle real-time data during the execution of transportation and react adequately to detected unexpected events. In this way the reliability of intermodal transport can be increased, which might help to increase its usage and to minimize the negative externalities of freight transportation. This paper proposes a novel real-time decision support system based on a hybrid simulation-optimization approach for intermodal transportation which combines offline planning with online re-planning based on real-time data about unexpected events in the transportation network. For each detected disruption, the affected services and orders are identified and the best re-planning policy is applied. The proposed decision support system is successfully tested on real-life scenarios and is capable of delivering fast and reasonably good solutions in an online environment. This research might be of particular benefit to the transport industry for using advanced solution methodologies and give advice to transportation planners about the optimal policies that can be used in case of disruptions. (c) 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

【 授权许可】

Free