Parallel Experiment for Urban Rail Emergency Evacuation: An Approach for Hub Identification

Dong, Hairong; Ouyang, Renhai; Ning, Bin; Chen, Guanrong

doi:10.1109/mis.2013.55

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…For instance, articles in the literature have focused on identifying disaster risk (Chen et al 2013), predicting flood routing (Bagatur and Onen 2018), improving situational awareness using big data (Khare, Burel, and Alani 2019), and using big data to detect socioeconomic recovery (Shibuya and Tanaka 2019) and resilience (Papadopoulos et al 2017). Specifically looking at logistics activities, there have been contributions to enhance evacuation by analysing human behaviour (Kurdi et al 2018), to create expert systems to simulate instances to develop operational strategies (Dong et al 2013), and to implement agent-base techniques to manage disruptions in the supply chain (Blos, da Silva, and Wee 2018). AI also has potential to be complemented with other technologies.…”

Section: Edts In the Humanitarian Supply Chainmentioning

confidence: 99%

The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing

Rodríguez-Espíndola

Chowdhury

Beltagui

et al. 2020

International Journal of Production Research

202

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The growing importance of humanitarian operations has created an imperative to overcome the complications currently recorded in the field. Challenges such as delays, congestion, poor communication and lack of accountability may represent opportunities to test the reported advantages of emergent disruptive technologies. Meanwhile, the literature on humanitarian supply chains looks at isolated applications of technology and lacks a framework for understanding challenges and solutions, a gap that this article aims to fill. Using a case study based on the flood of Tabasco of 2007 in Mexico, this research identifies solutions based on the use of emergent disruptive technologies. Furthermore, this article argues that the integration of different technologies is essential to deliver real benefits to the humanitarian supply chain. As a result, it proposes a framework to improve the flow of information, products and financial resources in humanitarian supply chains integrating three emergent disruptive technologies; Artificial Intelligence, Blockchain and 3D Printing. The analysis presented shows the potential of the framework to reduce congestion in the supply chain, enhance simultaneous collaboration of different stakeholders, decrease lead times, increase transparency, traceability and accountability of material and financial resources, and allow victims to get involved in the fulfilment of their own needs.

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