Vehicle Scheduling for Emergency Relief Management: A Knowledge‐Based Approach

Knott, Roger

doi:10.1111/j.1467-7717.1988.tb00678.x

Cited by 68 publications

(21 citation statements)

References 3 publications

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“…Recent studies (Haghani and Oh 1996;Barbarosoglu et al 2002;Knott 1987Knott , 1988) focus on operations research approaches for solving planning problems in disaster relief and emergency logistics. A two-step heuristic to solve vehicle routing and dispatching for multi-commodity problem is proposed by Yi and Kumar (2007).…”

Section: Literature Reviewmentioning

confidence: 99%

International disaster relief planning with fuzzy credibility

Adıvar

Mert

2010

Fuzzy Optim Decis Making

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As a consequence of more extensive collaboration between countries, the need for better humanitarian relief assistance has become a significant challenge to the international community. In case of a disaster exceeding the national response capacity of the affected country, donor countries provide the relief items, which are then consolidated at collection points to be shipped to points of delivery in the stricken country. After the items are transported to the point of delivery, the responsible authority in distributing aids to vulnerable populations then becomes the national relief agencies. In this context, we propose an international relief planning model that can handle the uncertain information while maximizing the credibility of the international agencies in the most cost efficient way.

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Section: Literature Reviewmentioning

confidence: 99%

International disaster relief planning with fuzzy credibility

Adıvar

Mert

2010

Fuzzy Optim Decis Making

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“…Knott (1987) proposed a linear model considering food transportation problems to minimize the transportation costs and maximized the amount of food delivered to the affected areas. Knott (1988), next, developed a linear model to schedule the rout of vehicles by maximizing the amount of food delivered. Barbarosoğlu et al (2002) used helicopter for rescuing actions during a natural disaster by routing and transportation problem during the response phase.…”

Section: Literature Reviewmentioning

confidence: 99%

A robust optimization model for logistics planning in the earthquake response phase

Fereiduni¹,

Hamzehee²,

Shahanaghi³

2016

10.5267/j.dsl

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In this paper, a robust bi-level model is proposed to optimize decisions related to distribution and evacuation aid after earthquake. Usually in disastrous situation foreign countries help the affected country by sending relief commodities. In this problem, the foreign countries try to minimize their shipping costs and the affected country seeks to minimize its total costs which include inventory, operation, and transportation expenses. This situation is a game between different decision makers after a catastrophic disaster. To deal with this situation, a bi-level model is proposed in which the affected country is the leader and suppliers are the followers. To validate the proposed robust model, we consider Tehran probable earthquake in region 1 as a case study. Then the advantages of using bi-level modeling against considering just one player's point of view is provided. The sensitivity analysis of the experiments are presented to explore the effects of various parameters to show managerial insights that can guide DMs under a variety of conditions.

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“…Commodities such as water, food, shelter, and medicine must be sent from the relief distribution centers (RDCs) to the affected areas (AAs) as quickly as possible to support rescue operation and help wounded individuals. The supply shortage can render emergency response ineffective and result in increased suffering [4]. Hence, it is important to develop strategies to accelerate supply response or when dealing with the unpredictability of demand.…”

Section: Introductionmentioning

confidence: 99%

A modified particle swarm optimization for disaster relief logistics under uncertain environment

Bozorgi-Amiri

Jabalameli

Alinaghian

et al. 2011

Int J Adv Manuf Technol

133

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Relief logistics is one of the most important elements of a relief operation. This paper investigates a relief chain design problem where not only demands but also supplies and the cost of procurement and transportation are considered as the uncertain parameters. Furthermore, the model considers uncertainty for the locations where those demands can arise and the possibility that a number of the facility could be partially destroyed by the disaster. The proposed model for this study is formulated as a mixed-integer nonlinear programming to minimize the sum of the expected total cost (which includes costs of location, procurement, transportation, holding, and shortage) and the variance of the total cost. The model simultaneously determines the location of relief distribution centers and the allocation of affected area to relief distribution centers. Furthermore, an efficient solution approach based on particle swarm optimization is developed in order to solve the proposed mathematical model. At last, computational results for several instances of the problem are presented to demonstrate the feasibility and effectiveness of the proposed model and algorithm.

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Vehicle Scheduling for Emergency Relief Management: A Knowledge‐Based Approach

Cited by 68 publications

References 3 publications

International disaster relief planning with fuzzy credibility

International disaster relief planning with fuzzy credibility

A robust optimization model for logistics planning in the earthquake response phase

A modified particle swarm optimization for disaster relief logistics under uncertain environment

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