Multiperiod integrated routing and scheduling of World Food Programme cargo planes in Angola

Angelis, V. De; Mecoli, Mariagrazia; Nikoi, Chris; Storchi, Giovanni

doi:10.1016/j.cor.2005.07.012

Cited by 88 publications

(45 citation statements)

References 11 publications

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“…Dynamic vehicle routing approach has been reported as efficient [3], but the instances tested are limited to 10 vehicles and a hundred nodes. Problems of similar sizes are seen in many other research papers [4], [5], [6]. [7], transport capacity [8], flight range and refueling/maintenance times.…”

Section: Introductionmentioning

confidence: 97%

Particle Swarm Optimization/Greedy-Search Algorithm for Helicopter Mission Assignment in Disaster Relief

Andreeva-Mori

Kobayashi

Shindo

2015

Journal of Aerospace Information Systems

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In the immediate aftermath of a large-scale disaster, optimal helicopter rescue mission assignment is critical to saving many lives. The current practice in the field is mostly humancentered, however. Japan Aerospace Exploration Agency has been developing a decisionsupport system for aircraft operation in order to promptly plan and execute rescue missions.The current research focuses on evacuation missions in particular and investigates the potential of particle swarm optimization (PSO) with integrated greedy search in aircraft resource management. We propose a robust particle model which can reflect various

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Section: Introductionmentioning

confidence: 97%

Particle Swarm Optimization/Greedy-Search Algorithm for Helicopter Mission Assignment in Disaster Relief

Andreeva-Mori

Kobayashi

Shindo

2015

Journal of Aerospace Information Systems

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“…There were interesting OR papers on humanitarian routing (Cova and Johnson 2003;Han et al 2006;De Angellis et al 2007;Balcik et al 2008;Campbell et al 2008), inventory management (Beamon and Kotleba 2006a, b;De Treville et al 2006), and network design (Batta and Mannur 1990;Chang et al 2007;Jia et al 2007). Extant literature had focused on tradeoffs of equity and efficiency for disaster response with both supply and demand uncertainty .…”

Section: Evidence-based Projectmentioning

confidence: 99%

Transportation and vehicle fleet management in humanitarian logistics: challenges for future research

Pedraza‐Martinez

Wassenhove

2012

EURO Journal on Transportation and Logistics

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Transportation and vehicle fleet management in humanitarian logistics have characteristics virtually unexplored by OR researchers. We provide evidencebased insights into the logistics challenges imposed by the dual objective of relief and development, decentralization, earmarked funding, and field operating conditions. We comment on why these characteristics help explaining the persistence of aging fleets, excessive fleet sizes, low fleet standardization, and service delays: problems humanitarian fleet managers fight on a daily basis to improve their service levels. We propose avenues for future research to address strategic, tactical, and operational challenges derived from the defining characteristics of humanitarian logistics discussed in the paper.

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“…A similar goal is optimized in Yi and Özdamar (2007), where a two-stage location-routing problem is solved in order to coordinate transportation of commodities as well as evacuation of wounded people. In De Angelis et al (2007), weekly schedules of emergency deliveries by plane in Angola are developed for the World Food Programme, aimed at maximizing the total satisfied demand. Barbarosoglu et al (2002) focus on scheduling helicopter activities in a disaster relief operation.…”

Section: Literature Reviewmentioning

confidence: 99%

Risk approaches for delivering disaster relief supplies

2011

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We consider the problem of designing the logistic system to assure adequate distribution of relief aid in a post-natural-disaster situation, when damages to infrastructure may disrupt the delivery of relief aid. The problem is formulated as a multi-objective optimization problem, encompassing three objective functions of central interest in such problems. The first objective function is a measure of risk (various forms of such risk are analyzed). The second objective function measures the coverage provided by the logistic system in the distribution of relief aid to disaster victims. The third objective function represents total travel time. We focus on the risk of delivery tours for relief supplies, where risk here captures the threat that potential tours become impassable after the natural hazard event. In order to cope with a range of different natural disasters and policy objectives, we develop five approaches emphasizing different measures of tour-dependent risk. To cover both earthquake and flood risks, we consider correlated as well as uncorrelated risk measures. We develop a two-phase solution approach to reflect the dictates of real-world disaster relief motivating this analysis. The first phase generates potentially Pareto-optimal solutions to the overall multi-objective logistic design problem with respect to three objectives. For any given risk measure, the first-phase design problem is formulated as a multi-objective integer program and a memetic algorithm is proposed as the solution approach. The second phase is an enrichment procedure to generate a broader range of potentially Pareto-optimal alternatives. The suggested approach is tested on real-world data from the province of Manabí in Ecuador and the results associated with the different risk measures are analyzed to illustrate the value of the proposed approach for the design of disaster relief networks.

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Multiperiod integrated routing and scheduling of World Food Programme cargo planes in Angola

Cited by 88 publications

References 11 publications

Particle Swarm Optimization/Greedy-Search Algorithm for Helicopter Mission Assignment in Disaster Relief

Particle Swarm Optimization/Greedy-Search Algorithm for Helicopter Mission Assignment in Disaster Relief

Transportation and vehicle fleet management in humanitarian logistics: challenges for future research

Risk approaches for delivering disaster relief supplies

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