Optimization of Humanitarian Aid Distribution in Case of an Earthquake and Tsunami in the City of Iquique, Chile

In this paper, we introduce, model, and solve a clustered resource allocation and routing problem for humanitarian aid distribution in the event of an earthquake and subsequent tsunami. First, for the preparedness stage, we build a set of clusters to identify, classify, sort, focus, and prioritize the aid distribution. The clusters are built with k-means method and a modified version of the capacitated p-median model. Each cluster has a set of beneficiaries and candidate delivery aid points. Second, vehicle routes are strategically determined to visit the clusters for the response stage. A mixed integer linear programming model is presented to determine efficient vehicle routes, minimizing the aid distribution times. A vulnerability index is added to our model to prioritize aid distribution. A case study is solved for the city of Iquique, Chile.

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A Mixed-Integer Linear Programming Model for a Selective Vehicle Routing Problem

Communications in Computer and Information Science - Applied Computer Sciences in Engineering ◽

10.1007/978-3-030-00353-1_10 ◽

2018 ◽

pp. 108-119 ◽

Cited By ~ 3

Author(s):

Andrea Posada ◽

Juan Carlos Rivera ◽

Juan D. Palacio

Keyword(s):

Linear Programming ◽

Vehicle Routing ◽

Integer Linear Programming ◽

Vehicle Routing Problem ◽

Mixed Integer Linear Programming ◽

Programming Model ◽

Linear Programming Model ◽

Mixed Integer ◽

Routing Problem ◽

Integer Linear Programming Model

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A Mixed Integer Linear Programming Model for the Optimization of Steel Waste Gases in Cogeneration: A Combined Coke Oven and Converter Gas Case Study

Energies ◽

10.3390/en13153781 ◽

2020 ◽

Vol 13 (15) ◽

pp. 3781

Author(s):

Sergio García García ◽

Vicente Rodríguez Montequín ◽

Henar Morán Palacios ◽

Adriano Mones Bayo

Keyword(s):

Linear Programming ◽

Integer Linear Programming ◽

Mixed Integer Linear Programming ◽

Programming Model ◽

Coke Oven ◽

Linear Programming Model ◽

Mixed Integer ◽

Integer Linear Programming Model ◽

Converter Gas

Off-gas is one of the by-products of the steelmaking process. Its potential energy can be transformed into heat and electricity by means of cogeneration. A case study using a coke oven and Linz–Donawitz converter gas is presented. This work addresses the gas allocation problem for a cogeneration system producing steam and electricity. In the studied facility, located in northern Spain, the annual production of the plant requires 95,000 MWh of electrical energy and 525,000 MWh of thermal energy. The installed electrical and thermal power is 20.4 MW and 81 MW, respectively. A mixed integer linear programming model is built to optimize gas allocation, thus maximizing its benefits. This model is applied to a 24-h scenario with real data from the plant, where gas allocation decision-making was performed by the plant operators. Application of the model generated profit in a scenario where there were losses, increasing benefits by 16.9%. A sensitivity analysis is also performed. The proposed model is useful not only from the perspective of daily plant operation but also as a tool to simulate different design scenarios, such as the capacity of gasholders.

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