SóProvas


ID
463915
Banca
CESGRANRIO
Órgão
Transpetro
Ano
2011
Provas
Disciplina
Inglês
Assuntos

Model copes with chaos to deliver relief Computer program helps responders transport supplies in tough conditions
By Rachel Ehrenberg Science News, Web edition: Monday, February 21st, 2011
WASHINGTON — Getting blood or other perishable supplies to an area that’s been struck by an earthquake or hurricane isn’t as simple as asking what brown can do for you. But a new model quickly determines the best routes and means for delivering humanitarian aid, even in situations where bridges are out or airport tarmacs are clogged with planes.
The research, presented February 18 at the annual meeting of the American Association for the Advancement of Science, could help get supplies to areas which have experienced natural disasters or help prepare for efficient distribution of vaccines when the flu hits.
Efficient supply chains have long been a goal of manufacturers, but transport in fragile networks — where supply, demand and delivery routes may be in extremely rapid flux — requires a different approach, said Anna Nagurney of the University of Massachusetts Amherst, who presented the new work. Rather than considering the shortest path from one place to another to maximize profit, her system aims for the cleanest path at minimum cost, while capturing factors such as the perishability of the product and the uncertainty of supply routes. ‘You don’t know where demand is, so it’s tricky,’ said Nagurney. ‘It’s a multicriteria decision-making problem.’
By calculating the total cost associated with each link in a network, accounting for congestion and incorporating penalties for time and products that are lost, the computer model calculates the best supply chain in situations where standard routes may be disrupted.
‘Mathematical tools are essential to develop formal means to predict, and to respond to, such critical perturbations,’ said Iain Couzin of Princeton University, who uses similar computational tools to study collective animal behavior. ‘This is particularly important where response must be rapid and effective, such as during disaster scenarios … or during epidemics or breaches of national security.
’ The work can be applied to immediate, pressing situations, such as getting blood, food or medication to a disaster site, or to longer-term problems such as determining the best locations for manufacturing flu vaccines. . Retrieved April 7th, 2011.

The computer model discussed in the text “…copes with chaos to deliver relief" (title) and analyzes different factors. The only factor NOT taken in consideration in the model is the

Alternativas
Comentários
  • O modelo de computador discutido no texto " ... lida com o caos para entregar alívio" (título) e analisa diferentes fatores.

    A) probabilidade de deterioração ou perda do produto.
    B) possíveis congestionamentos nas áreas caóticas.
    C) redução de custos para aumentar os lucros.
    D) imprevisibilidade do estatuto de determinadas rotas.
    E) rota mais eficiente entre as áreas geográficas.

    O único fator não levado em consideração no modelo é "a redução de custos para aumentar os lucros." Não é mencionado no texto que a redução de custos implicaria no aumento de lucros.

    Alternativa C está correta.

     


  • c-

    The text avows that more profit isn't the goal of the proposed system, although it's made to work out a route with the minimum possible costs, the aim of the cost variable isn't profit, but render humanitarian aid at a more efficient rate. 

    Lucro (profit) não é o incentivo do sistema. As outras opcoes estao em:

    But a new model quickly determines the best routes and means for delivering humanitarian aid, even in situations where bridges are out or airport tarmacs are clogged with planes.(e)

    Rather than considering the shortest path from one place to another to maximize profit, her system aims for the cleanest path at minimum cost, while capturing factors such as the perishability of the product (a) and the uncertainty of supply routes (d). ‘

    By calculating the total cost associated with each link in a network, accounting for congestion and incorporating penalties for time and products that are lost, the computer model calculates the best supply chain in situations where standard routes may be disrupted (b)