Military Logistics Planning in Humanitarian Relief Operations

Sebbah, Samir; Boukhtouta, Abdeslem; Berger, Jean; Ghanmi, Ahmed

doi:10.1007/978-1-4614-7007-6_5

Cited by 13 publications

(7 citation statements)

References 33 publications

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“…Sheu (2007) defines emergency logistics as the process of planning, managing, and controlling the flow of relief resources so that the urgent needs of affected people can be delivered in time. Various mathematical programming models have been developed in the literature to deal with static and deterministic relief distribution problems, including linear programming (e.g., Sheu, 2007;Sheu and Pan, 2015), integer or mixed integer programming (e.g., Abounacer et al, 2014;Afshar and Haghani, 2012;Ozdamar and Demir, 2012;Yan and Shih, 2009;Yi and Kumar, 2007;Yi and Özdamar, 2007), and mixed integer linear programming (e.g., Ozdamar et al, 2004;Sebbah et al, 2013).…”

Section: Literature Review and Research Gapmentioning

confidence: 99%

Real-time relief distribution in the aftermath of disasters – A rolling horizon approach

Ying

Chen

2016

Transportation Research Part E: Logistics and Transportation Re

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Section: Literature Review and Research Gapmentioning

confidence: 99%

Real-time relief distribution in the aftermath of disasters – A rolling horizon approach

Ying

Chen

2016

Transportation Research Part E: Logistics and Transportation Re

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“…Various programming models have been developed for emergency logistics, including linear programming, integer or mixed integer programming, and mixed integer linear programming [7,8]. Safeer et al [9] employed a classification-based method to identify cost functions and constraints for primary emergency operations in relief distribution.…”

Section: Literature Reviewmentioning

confidence: 99%

Scenario-Based Emergency Material Scheduling Using V2X Communications

Chen

et al. 2019

Electronics

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Vehicle-to-everything (V2X) communications can be applied in emergency material scheduling due to their performance in collecting and transmitting disaster-related data in real time. The urgency of disaster depots can be judged based on the disaster area video, and the scenario coefficient can be evaluated for building a fairness model. This paper presents a scenario-based approach for emergency material scheduling (SEMS) using V2X communications. We propose a SEMS model, with the objectives of minimum time and maximum fairness in the cases of multiple supply depots, disaster depots, commodities and transport modes for logistics management of relief commodities. We design the SEMS algorithm based on the artificial fish-swarm algorithm to obtain an optimized solution. The results demonstrate that the SEMS model can enhance the fairness of relief scheduling, especially for disaster depots with small demands compared to the Gini and enhanced Theil fairness models. Moreover, the acquired vehicle speed via V2X communications updates the SEMS model in real time, which approaches a solution closer to reality.

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“…They addressed the issue of restoring blocked links in a road network with the goal of opening access paths for all locations as early as possible. Similarly to Rekik et al (2013), Sebbah et al (2013), and Taniguchi and Thompson (2013) whose models are deterministic problem for post-disaster response phase.…”

Section: The Characteristics Of Problem Formulationmentioning

confidence: 99%

“…Moreover, there are some optimization models which objective functions are considered out of those aspects. A mathematical model for post-disaster road restoration of Aksu and Ozdamar (2014) maximized the total weighted earliness of all paths restored while Sebbah et al (2013) maximized the utility function of the relief plans for military logistics planning. Yoshimito et al (2012) considered a disaster relief incorporating social costs within the modeling framework as to minimize the urgency social function.…”

Section: The Review Of Objective Functionmentioning

confidence: 99%

“…The branch and bound algorithm was used by Gkonis et al (2007) to solve linear mixed integer programming with oil spill response problem. Similarly, Sebbah et al (2013) presented this exact method to maximize the utility function of the relief plans of military logistics planning in humanitarian relief operations. Jia et al (2007) applied and evaluated three heuristic algorithms to solve maximal covering problem which are genetic algorithm, locate-allocate and Lagrangian relaxation.…”

Section: The Review Of Solution Algorithmmentioning

confidence: 99%

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A Review of Relief Supply Chain Optimization

Manopiniwes¹,

Irohara²

2014

Industrial Engineering and Management Systems

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With a steep increase of the global disaster relief efforts around the world, the relief supply chain and humanitarian logistics play an important role to address this issue. A broad overview of operations research ranges from a principle or conceptual framework to analytical methodology and case study applied in this field. In this paper, we provide an overview of this challenging research area with emphasis on the corresponding optimization problems. The scope of this study begins with classification by the stage of the disaster lifecycle system. The characteristics of each optimization problem for the disaster supply chain are considered in detail as well as the logistics features. We found that the papers related to disaster relief can be grouped in three aspects in terms of logistics attributes: facility location, distribution model, and inventory model. Furthermore, the literature also analyzes objectives and solution algorithms proposed in each optimization model in order to discover insights, research gaps and findings. Finally, we offer future research directions based on our findings from the investigation of literature review.

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Military Logistics Planning in Humanitarian Relief Operations

Cited by 13 publications

References 33 publications

Real-time relief distribution in the aftermath of disasters – A rolling horizon approach

Real-time relief distribution in the aftermath of disasters – A rolling horizon approach

Scenario-Based Emergency Material Scheduling Using V2X Communications

A Review of Relief Supply Chain Optimization

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