Humanitarian logistics planning for natural disaster response with Bayesian information updates

Liu, Nan; Ye, Yong

doi:10.3934/jimo.2014.10.665

Cited by 22 publications

(4 citation statements)

References 37 publications

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“…Najafi et al [59] designed a dynamic model for earthquake emergency logistics and casualty transportation. Liu et al [60] adopted road damage information and population transfer information in decision making for emergency living material distribution after an earthquake or other disaster. Wang et al [61] established a fuzzy dynamic LRP (Logistics Resources Planning) optimization model with time windows in a postearthquake emergency logistics system.…”

Section: Decision-making Methods For Earthquake Rescue Drug Distrimentioning

confidence: 99%

Dynamic Planning Method for Drug Distribution in Earthquake Response Based on Sliding Time Window Series

Fang

Hou

Pan³

et al. 2020

IEEE Access

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Creating an effective and efficient distribution plan is a considerable challenge owing to urgency, incomplete information, and surging demands. In this study, a planning method based on a sliding time window series is designed to solve the problem of drug distribution in earthquake responses. First, this study presents a method designed to generate a series of sliding time windows considering time-varying demands. Second, a method is proposed to determine the effectiveness of the drug distribution plan according to its evaluation standards. Third, a dynamic planning model is established considering the sliding time window series and group information updates. Fourth, a simulation study is conducted to test the models and algorithms. Simulation results show that specific drug distribution plans should be provided to emergency planners in the event of an earthquake. The sliding time window series and group information updates are key factors in creating an effective drug distribution plan as part of an earthquake response.

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Section: Decision-making Methods For Earthquake Rescue Drug Distrimentioning

confidence: 99%

Dynamic Planning Method for Drug Distribution in Earthquake Response Based on Sliding Time Window Series

Fang

Hou

Pan³

et al. 2020

IEEE Access

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“…We review those papers below. Liu and Ye (2014) present a decision model for the allocation of relief resources in natural disasters using information updates. These updates predominantly contain information on disaster states (population transfer rates) and traffic conditions (road affected level).…”

Section: Academic Humanitarian Logisticsmentioning

confidence: 99%

Capturing Real-Time Data in Disaster Response Logistics

Sokat¹,

Zhou

Dolinskaya

et al. 2016

JOSCM

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The volume, accuracy, accessibility and level of detail of near real-time data emerging from disaster-affected regions continue to significantly improve. Integration of dynamically evolving in-field data is an important, yet often overlooked, component of the humanitarian logistics models. In this paper, we present a framework for real-time humanitarian logistics data focused on use in mathematical modeling along with modeling implications of this framework. We also discuss how one might measure the attributes of the framework and describe the application of the presented framework to a case study of near real-time data collection in the days following the landfall of Typhoon Haiyan. We detail our first-hand experience of capturing data as the post-disaster response unfolds starting on November 10, 2013 until March 31, 2014 and assess the characteristics and evolution of data pertaining to humanitarian logistics modeling using the proposed framework. The presented logistical content analysis examines the availability of data and informs modelers about the current state of near real-time data. This analysis illustrates what data is available, how early it is available, and how data changes after the disaster. The study describes how our humanitarian logistics team approached the emergence of dynamic online data after the disaster and the challenges faced during the collection process, as well as recommendations to address these challenges in the future (when possible) from an academic humanitarian logistics perspective.

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“…The distribution of these resources is also decided, which has become an important issue recently. Related studies such as Carmen and Mark (2010), Ye et al [33], Liu et al [21], Zhan et al [24], Sheu [13], He et al [31], Manopiniwes and Irohara [29], and Ransikarbum and Mason [15] overlook the following issues:…”

Section: Introductionmentioning

confidence: 99%

A Follow-Up Sharing–Scheduling Method for Resource Distribution in Mountain Earthquake Response

Hong

Fang

et al. 2019

IEEE Access

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When earthquakes occur in the mountains, numerous rescuing resources need to be distributed among affected areas. The distribution mission is a long-term response process, which requires consideration of factors such as weather conditions, aftershock damage, and complex mountainous topography. These factors lead to uncertainties, such as transportation time and supply and demand information as well as several disaster sites. This study aims to develop a new scheduling method based on uncertainties of mountain earthquakes and several disaster sites in a long-term response process. The proposed methodology focuses on two problems, namely, (1) how to coordinate supplies between different phases of the response process and (2) how to deal with uncertainties. A follow-up sharing mechanism is put forward to ensure that resources from previous phases are partly shared with the ensuing phases as needed. A scheduling methodology is then established with the uncertainties in demand and traffic conditions. Results from numerous studies show that a schedule with this mechanism is effective, and the resource distribution principle significantly affects the resource allocation plan.INDEX TERMS Decision making, earthquakes response, humanitarian logistics, optimal scheduling, resource management.

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Humanitarian logistics planning for natural disaster response with Bayesian information updates

Cited by 22 publications

References 37 publications

Dynamic Planning Method for Drug Distribution in Earthquake Response Based on Sliding Time Window Series

Dynamic Planning Method for Drug Distribution in Earthquake Response Based on Sliding Time Window Series

Capturing Real-Time Data in Disaster Response Logistics

A Follow-Up Sharing–Scheduling Method for Resource Distribution in Mountain Earthquake Response

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