Optimization of Resource Allocation for Rail Container Terminals Based on Internet of Things Technology

Chen, Lufeng; He, Shiwei; Wang, Baohua

doi:10.1061/9780784413159.420

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…When it comes to use pervasive technologies like IoT and Cloud computing in container terminal, very few research work has been proposed in literature, e.g. (Lee et al, 2011), (Ngai et al, 2011), (Shi et al, 2011, (Chen et al, 2013), (Choe et al, 2016), (Huang and Zheng, 2016), (Tsertou et al, 2016), (Li et al, 2018, (Heilig et al, 2017b) and(Ndraha et al, 2018). All of the studies are theoretical, such as reviews on potential application of IoT in Port (Shi et al, 2011), (Lee et al, 2011) or in cold food chain shipment (Ndraha et al, 2018).…”

Section: Internet Of Thing and Cloud Computingmentioning

confidence: 99%

A multi-agent system with blockchain for container stacking and dispatching

Henesey¹,

Yulia²,

Anwar³

2019

Proceedings of the 21st International Conference on Harbor, Maritime and Multimodal Logistic Modeling &Amp; Simulation (HMS 201

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Port Logistical Supply chains play a very important role in society. Their complex and adaptive behaviours promote the suggested applications of combining a multiagent system with blockchain for solving complex problems. Several technologies have been proven positively to work in logistics, however the concept of combining converging technologies such as blockchain with deep reinforcement multi agent is viewed as a novel approach to solving the complexity that is associated with many facets of logistics. A simulator was developed and tested for the problem of container stacking. The simulation results indicate a more robust approach to currently used tools and methods.

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