Questões de Concurso
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A tabela a seguir mostra a demanda realizada nos seis últimos períodos.

Com base na tabela acima, é INCORRETO afirmar que, utilizando-se o método da média móvel
Se, no mês de agosto, houve 78 ausências e, em relação a meias faltas e atrasos, tinha-se verificado que os funcionários deixaram de trabalhar um total de 16 horas no mês, o índice de absentismo, no referido período, foi de
almoxarifado, entre outros processos, integrando todos os departamentos. O Sr. Barbono esperava que os tempos de resposta, principalmente dos processos de compras e controle do almoxarifado, fossem melhorados. Entretanto, após a implantação dos softwares, os processos se tornaram mais lentos, particularmente no setor de compras, onde as aquisições em caráter de urgência aumentaram significativamente as despesas. Uma consultoria foi contratada para fazer um diagnóstico e apontar as causas do problema.
Analise as causas apontadas a seguir.
I - As requisições de compras tinham normas que exigiam assinatura e carimbo devidamente reconhecidos e procedimentos feitos manualmente.
II - O planejamento das necessidades de material era feito quando o estoque terminava.
III - O ?uxo do processo de compras tinha controles rígidos, exigindo assinaturas dos três níveis hierárquicos da organização, chegando até o Sr. Barbono, que podia vetar a solicitação.
IV - A estrutura organizacional era centralizada.
Estão corretas as causas descritas em
O uso de um FMS traz como benefício o(a)
Nessas condições, o tempo padrão necessário para atender a esse pedido, em horas padrão, está entre
Nessas condições, a capacidade calculada para esse centro de trabalho, numa semana média, em horas padrão, está entre
Nessas condições, o percentual de utilização desse centro de trabalho é de
Um dos insumos exigidos para esse planejamento é o(a)
A variação do custo, em mil reais, entre os dois processos para a produção de 4.000 unidades de contêiner produzidas, está compreendida entre
questões de nos 24 e 25.
A Indústria de Embalagens Cardoso Ltda. é uma concei-
tuada empresa de fabricação de caixas de papelão es-
peciais. A tabela abaixo apresenta uma lista de recursos
básicos (papelão ondulado e tempo de trabalho) necessá-
rios para a produção de cada grupo de produto.

Essa empresa recebeu uma encomenda de um cliente
especial e precisa fabricar 2.000 caixas tipo A-1, 4.000
caixas tipo B-5 e 6.000 caixas tipo C-7.
questões de nos 24 e 25.
A Indústria de Embalagens Cardoso Ltda. é uma concei-
tuada empresa de fabricação de caixas de papelão es-
peciais. A tabela abaixo apresenta uma lista de recursos
básicos (papelão ondulado e tempo de trabalho) necessá-
rios para a produção de cada grupo de produto.

Essa empresa recebeu uma encomenda de um cliente
especial e precisa fabricar 2.000 caixas tipo A-1, 4.000
caixas tipo B-5 e 6.000 caixas tipo C-7.

Considerando-se redução de 20% no custo de material direto, redução de 10% nos custos indiretos de produção e que o custo da mão de obra direta permanece inalterado, o lucro, em mil reais, ficará entre

Os sinais de x, y, z e w são, respectivamente,
Qual é a probabilidade de as preferências serem atendidas?
A variância obtida com os dados em milhões de reais é a variância dos dados em reais dividida por
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.
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.



