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Ano: 2018
Banca:
CESGRANRIO
Órgão:
Transpetro
Prova:
CESGRANRIO - 2018 - Transpetro - Engenheiro Júnior - Processamento (Químico) |
Q1090307
Engenharia Química e Química Industrial
Na análise via diagrama triangular de uma separação
líquido-líquido de um soluto, a temperatura e pressão conhecidas, inicialmente se calcula o ponto de mistura M
para as correntes conhecidas de alimentação e solvente.
Na sequência, considerando-se a linha de amarração que
passa por esse ponto e suas intersecções com a curva
de solubilidade, as composições das fases líquidas em
equilíbrio são calculadas.
Admitindo-se que uma corrente orgânica (30% em massa do soluto e 70% do diluente original), com vazão mássica total F kg/s é misturada com um solvente (puro) à vazão de 0,5 F kg/s, o ponto M tem composição percentual em massa de soluto, diluente original e solvente dadas, aproximadamente, por
Admitindo-se que uma corrente orgânica (30% em massa do soluto e 70% do diluente original), com vazão mássica total F kg/s é misturada com um solvente (puro) à vazão de 0,5 F kg/s, o ponto M tem composição percentual em massa de soluto, diluente original e solvente dadas, aproximadamente, por
Ano: 2018
Banca:
CESGRANRIO
Órgão:
Transpetro
Prova:
CESGRANRIO - 2018 - Transpetro - Engenheiro Júnior - Processamento (Químico) |
Q1090297
Engenharia Química e Química Industrial
As propriedades termodinâmicas são estudadas por vários pesquisadores em todo o mundo. Em parte desses
estudos estão as relações de Gibbs, dentre as quais uma
é baseada na função de Helmholtz, apresentada abaixo.
da = –sdT – Pdv
Utilizando-se as relações de Maxwell e a equação de estado do gás ideal (PV = RT), a relação (∂s/∂v)T para um gás ideal é
da = –sdT – Pdv
Utilizando-se as relações de Maxwell e a equação de estado do gás ideal (PV = RT), a relação (∂s/∂v)T para um gás ideal é
Ano: 2018
Banca:
CESGRANRIO
Órgão:
Transpetro
Prova:
CESGRANRIO - 2018 - Transpetro - Engenheiro Júnior - Processamento (Químico) |
Q1090296
Engenharia Química e Química Industrial
Em um reator é realizada a hidrogenação de C2H4
. Esse
reator é alimentado por duas correntes: uma com vazão
de 56 kg h-1 de C2H4
e outra com vazão de 10 kg h-1 de
H2. O processo opera em estado estacionário, e, na saída
do reator, verifica-se que apenas o reagente limitante foi
consumido por completo.
Em uma etapa posterior, o reagente em excesso que não participou da reação é recuperado, sendo completamente separado do produto formado. A vazão de reagente recuperado, em kg h-1, é igual a
Dado Massas molares: C2H4 : 28 g mol-1, H2 : 2g mol-1
Em uma etapa posterior, o reagente em excesso que não participou da reação é recuperado, sendo completamente separado do produto formado. A vazão de reagente recuperado, em kg h-1, é igual a
Dado Massas molares: C2H4 : 28 g mol-1, H2 : 2g mol-1
Ano: 2018
Banca:
CESGRANRIO
Órgão:
Transpetro
Prova:
CESGRANRIO - 2018 - Transpetro - Engenheiro Júnior - Processamento (Químico) |
Q1090294
Engenharia Química e Química Industrial
Uma mistura gasosa de hidrocarbonetos é formada por
0,4 mol de CH4, 0,7 mol de C2H6
e 0,9 mol de C3H8
. Essa
mistura se encontra em um reservatório sob pressão total
de 200 kPa.
A pressão parcial de CH4 nessa mistura é igual a
A pressão parcial de CH4 nessa mistura é igual a
Ano: 2018
Banca:
CESGRANRIO
Órgão:
Transpetro
Prova:
CESGRANRIO - 2018 - Transpetro - Engenheiro Júnior - Processamento (Químico) |
Q1090293
Química
Um reservatório contém 40 m3
de uma solução aquosa de
H2S na concentração 0,02 mol L-1
.
A massa de H2S presente no reservatório corresponde a
Dado Massa molar do H2S: 34 g mol-1
A massa de H2S presente no reservatório corresponde a
Dado Massa molar do H2S: 34 g mol-1
Ano: 2018
Banca:
CESGRANRIO
Órgão:
Transpetro
Prova:
CESGRANRIO - 2018 - Transpetro - Engenheiro Júnior - Processamento (Químico) |
Q1090292
Engenharia Química e Química Industrial
Uma amostra de N2
é mantida no estado líquido a 60 K.
Ao ser posta sob Condições Normais de Temperatura e
Pressão (CNTP), a amostra passou ao estado gasoso e
ocupou o volume de 0,112 m3. Considere que o gás formado tenha comportamento ideal e que, nas CNTP, o volume molar de um gás ideal é 2,24 x 10-2
m3
mol-1.
A massa da amostra, em gramas, de N2 líquido que evaporou é igual a
Dado Massa molar do N2 : 28 g mol-1
A massa da amostra, em gramas, de N2 líquido que evaporou é igual a
Dado Massa molar do N2 : 28 g mol-1
Ano: 2018
Banca:
CESGRANRIO
Órgão:
Transpetro
Prova:
CESGRANRIO - 2018 - Transpetro - Engenheiro Júnior - Processamento (Químico) |
Q1090289
Engenharia Química e Química Industrial
Em um sistema mantido a 300 K, 4 g de H2
se expandem
isotermicamente e reversivelmente de 5 para 10 L.
Assumindo-se o comportamento de gás ideal para o H2, o trabalho de expansão realizado por esse gás, em kJ, é igual a
Dado Constante dos gases: 8,31 J mol-1 K-1 ln 2 = 0,69 Massa molar H2 : 2 g mol-1
Assumindo-se o comportamento de gás ideal para o H2, o trabalho de expansão realizado por esse gás, em kJ, é igual a
Dado Constante dos gases: 8,31 J mol-1 K-1 ln 2 = 0,69 Massa molar H2 : 2 g mol-1
Ano: 2011
Banca:
CESGRANRIO
Órgão:
Transpetro
Prova:
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Processamento |
Q180284
Química
Um polímero, dissolvido em tolueno empregado na reação de polimerização, é submetido a um processo contínuo de secagem com ar. O secador opera à pressão de 1 x 105 Pa e à temperatura constante. A corrente de ar que deixa o secador encontra-se saturada com tolueno, cuja fração molar nessa corrente é igual a 0,11.
Nessas condições, o valor da pressão de vapor do tolueno, em pascal, é
Nessas condições, o valor da pressão de vapor do tolueno, em pascal, é
Ano: 2011
Banca:
CESGRANRIO
Órgão:
Transpetro
Prova:
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Processamento |
Q180277
Química
Pretende-se produzir 1.000 kg de um sólido S sob a forma de cristais a partir de 10.000 kg de uma solução aquosa saturada, que se encontra em um cristalizador a 80 °C. A solubilidade de S em água é aproximada por s = 0,04 + 0,002 T, em que s [=] g S / gH2O, T [=] °C.
Até que temperatura deve ser resfriada, no cristalizador, a solução saturada?
Até que temperatura deve ser resfriada, no cristalizador, a solução saturada?
Ano: 2011
Banca:
CESGRANRIO
Órgão:
Transpetro
Provas:
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Processamento
|
CESGRANRIO - 2011 - Transpetro - Técnico de Operação Júnior |
Q180276
Engenharia de Automação
Um processo submetido a controle proporcional apresenta offset para degraus no set point e na carga. Sabendo-se que a variável controlada não apresenta ruído de medida, adiciona-se a esse controlador o modo derivativo.
Em consequência da adição da ação derivativa, o offset
Em consequência da adição da ação derivativa, o offset
Ano: 2011
Banca:
CESGRANRIO
Órgão:
Transpetro
Prova:
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Processamento |
Q180266
Engenharia Química e Química Industrial
Água está sendo bombeada através de uma tubulação.
A curva característica da bomba e a curva do sistema são representadas pelas equações H = - Q2 + 2Q + 8 e WB = Q2 + 2Q, respectivamente, onde H é a carga, em metros, fornecida ao líquido pela bomba, WB é a carga, em metros, requerida pelo sistema, e Q é a vazão de operação, em m3 /s.
A vazão de operação, em m3 /s, é
A curva característica da bomba e a curva do sistema são representadas pelas equações H = - Q2 + 2Q + 8 e WB = Q2 + 2Q, respectivamente, onde H é a carga, em metros, fornecida ao líquido pela bomba, WB é a carga, em metros, requerida pelo sistema, e Q é a vazão de operação, em m3 /s.
A vazão de operação, em m3 /s, é
Ano: 2011
Banca:
CESGRANRIO
Órgão:
Transpetro
Provas:
CESGRANRIO - 2011 - Transpetro - Administrador Júnior
|
CESGRANRIO - 2011 - Transpetro - Analista de Sistemas Júnior |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Contábil |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Auditoria Interna |
CESGRANRIO - 2011 - Transpetro - Economista Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Engenharia de Produção |
CESGRANRIO - 2011 - Transpetro - Médico do trabalho |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Análise de Projetos de Inverstimentos |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Geotécnica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Elétrica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Mecânica |
CESGRANRIO - 2011 - Transpetro - Profissional de Meio Ambiente Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Processamento |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Segurança |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Naval |
CESGRANRIO - 2011 - Transpetro - Químico de Petróleo Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Automação |
Q154636
Inglês
Texto associado
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.
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
Ano: 2011
Banca:
CESGRANRIO
Órgão:
Transpetro
Provas:
CESGRANRIO - 2011 - Transpetro - Administrador Júnior
|
CESGRANRIO - 2011 - Transpetro - Analista de Sistemas Júnior |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Contábil |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Auditoria Interna |
CESGRANRIO - 2011 - Transpetro - Economista Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Engenharia de Produção |
CESGRANRIO - 2011 - Transpetro - Médico do trabalho |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Análise de Projetos de Inverstimentos |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Geotécnica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Elétrica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Mecânica |
CESGRANRIO - 2011 - Transpetro - Profissional de Meio Ambiente Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Processamento |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Segurança |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Naval |
CESGRANRIO - 2011 - Transpetro - Químico de Petróleo Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Automação |
Q154635
Inglês
Texto associado
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.
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.
In “The work can be applied to immediate, pressing situations," (lines 41-42), the fragment “can be applied" is replaced, without change in meaning, by
Ano: 2011
Banca:
CESGRANRIO
Órgão:
Transpetro
Provas:
CESGRANRIO - 2011 - Transpetro - Administrador Júnior
|
CESGRANRIO - 2011 - Transpetro - Analista de Sistemas Júnior |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Contábil |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Auditoria Interna |
CESGRANRIO - 2011 - Transpetro - Economista Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Engenharia de Produção |
CESGRANRIO - 2011 - Transpetro - Médico do trabalho |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Análise de Projetos de Inverstimentos |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Geotécnica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Elétrica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Mecânica |
CESGRANRIO - 2011 - Transpetro - Profissional de Meio Ambiente Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Processamento |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Segurança |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Naval |
CESGRANRIO - 2011 - Transpetro - Químico de Petróleo Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Automação |
Q154634
Inglês
Texto associado
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.
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.
Based on the meanings in the text, the two items are antonymous in
Ano: 2011
Banca:
CESGRANRIO
Órgão:
Transpetro
Provas:
CESGRANRIO - 2011 - Transpetro - Administrador Júnior
|
CESGRANRIO - 2011 - Transpetro - Analista de Sistemas Júnior |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Contábil |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Auditoria Interna |
CESGRANRIO - 2011 - Transpetro - Economista Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Engenharia de Produção |
CESGRANRIO - 2011 - Transpetro - Médico do trabalho |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Análise de Projetos de Inverstimentos |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Geotécnica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Elétrica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Mecânica |
CESGRANRIO - 2011 - Transpetro - Profissional de Meio Ambiente Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Processamento |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Segurança |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Naval |
CESGRANRIO - 2011 - Transpetro - Químico de Petróleo Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Automação |
Q154633
Inglês
Texto associado
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.
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.
In terms of pronominal reference,
Ano: 2011
Banca:
CESGRANRIO
Órgão:
Transpetro
Provas:
CESGRANRIO - 2011 - Transpetro - Administrador Júnior
|
CESGRANRIO - 2011 - Transpetro - Analista de Sistemas Júnior |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Contábil |
CESGRANRIO - 2011 - Transpetro - Economista Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Engenharia de Produção |
CESGRANRIO - 2011 - Transpetro - Médico do trabalho |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Análise de Projetos de Inverstimentos |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Geotécnica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Elétrica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Mecânica |
CESGRANRIO - 2011 - Transpetro - Profissional de Meio Ambiente Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Processamento |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Segurança |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Naval |
CESGRANRIO - 2011 - Transpetro - Químico de Petróleo Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Automação |
Q154632
Inglês
Texto associado
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.
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 expression in boldface introduces the idea of conclusion in
Ano: 2011
Banca:
CESGRANRIO
Órgão:
Transpetro
Provas:
CESGRANRIO - 2011 - Transpetro - Administrador Júnior
|
CESGRANRIO - 2011 - Transpetro - Analista de Sistemas Júnior |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Contábil |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Auditoria Interna |
CESGRANRIO - 2011 - Transpetro - Economista Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Engenharia de Produção |
CESGRANRIO - 2011 - Transpetro - Médico do trabalho |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Análise de Projetos de Inverstimentos |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Geotécnica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Elétrica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Mecânica |
CESGRANRIO - 2011 - Transpetro - Profissional de Meio Ambiente Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Processamento |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Segurança |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Naval |
CESGRANRIO - 2011 - Transpetro - Químico de Petróleo Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Automação |
Q154631
Inglês
Texto associado
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.
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.
“such critical perturbations," (lines 34-35) refers to all the items below, EXCEPT
Ano: 2011
Banca:
CESGRANRIO
Órgão:
Transpetro
Provas:
CESGRANRIO - 2011 - Transpetro - Administrador Júnior
|
CESGRANRIO - 2011 - Transpetro - Analista de Sistemas Júnior |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Contábil |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Auditoria Interna |
CESGRANRIO - 2011 - Transpetro - Economista Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Engenharia de Produção |
CESGRANRIO - 2011 - Transpetro - Médico do trabalho |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Análise de Projetos de Inverstimentos |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Geotécnica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Elétrica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Mecânica |
CESGRANRIO - 2011 - Transpetro - Profissional de Meio Ambiente Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Processamento |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Segurança |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Naval |
CESGRANRIO - 2011 - Transpetro - Químico de Petróleo Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Automação |
Q154630
Inglês
Texto associado
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.
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.
Iain Couzin is mentioned in paragraph 5 (lines 33-40) because he
Ano: 2011
Banca:
CESGRANRIO
Órgão:
Transpetro
Provas:
CESGRANRIO - 2011 - Transpetro - Administrador Júnior
|
CESGRANRIO - 2011 - Transpetro - Analista de Sistemas Júnior |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Contábil |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Auditoria Interna |
CESGRANRIO - 2011 - Transpetro - Economista Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Engenharia de Produção |
CESGRANRIO - 2011 - Transpetro - Médico do trabalho |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Análise de Projetos de Inverstimentos |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Geotécnica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Elétrica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Mecânica |
CESGRANRIO - 2011 - Transpetro - Profissional de Meio Ambiente Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Processamento |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Segurança |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Naval |
CESGRANRIO - 2011 - Transpetro - Químico de Petróleo Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Automação |
Q154629
Inglês
Texto associado
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.
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.
Nagurney's comment “'It's a multicriteria decision-making problem.'" (lines 25-26) refers to the fact that
Ano: 2011
Banca:
CESGRANRIO
Órgão:
Transpetro
Provas:
CESGRANRIO - 2011 - Transpetro - Administrador Júnior
|
CESGRANRIO - 2011 - Transpetro - Analista de Sistemas Júnior |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Contábil |
CESGRANRIO - 2011 - Transpetro - Contador Júnior - Auditoria Interna |
CESGRANRIO - 2011 - Transpetro - Economista Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Engenharia de Produção |
CESGRANRIO - 2011 - Transpetro - Médico do trabalho |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Análise de Projetos de Inverstimentos |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Geotécnica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Elétrica |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Mecânica |
CESGRANRIO - 2011 - Transpetro - Profissional de Meio Ambiente Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Processamento |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Segurança |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Naval |
CESGRANRIO - 2011 - Transpetro - Químico de Petróleo Júnior |
CESGRANRIO - 2011 - Transpetro - Engenheiro Júnior - Automação |
Q154628
Inglês
Texto associado
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.
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.
According to Anna Nagurney, in paragraph 3 (lines 14-26), an efficient logistics system must consider the
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